{"pageNumber":"541","pageRowStart":"13500","pageSize":"25","recordCount":165350,"records":[{"id":70236941,"text":"70236941 - 2020 - Response of the tallest California building during the Mw7.1 July 5, 2019 Ridgecrest, California earthquake","interactions":[],"lastModifiedDate":"2022-09-29T16:35:21.297382","indexId":"70236941","displayToPublicDate":"2020-12-31T11:34:52","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Response of the tallest California building during the Mw7.1 July 5, 2019 Ridgecrest, California earthquake","docAbstract":"The 73-story Wilshire Grand in downtown Los Angeles is the recently constructed tallest building in California. It is designed in conformance with performance-based design procedures. The lateral load resisting system of the building is designed with concrete core shear walls, three outriggers with buckling restrained braces (BRBs) located along the height and two three-story truss-belt structural systems. The building is equipped with a 36-channel accelerometric seismic monitoring array that recorded the recent Mw7.1 Ridgecrest earthquake of July 5, 2019, as well as the Mw6.4 July 4, 2019 Ridgecrest Earthquake. In this paper, only the Mw7.1 July 5, 2019 event is studied because of a larger response of the subject building during that earthquake. The earthquake records of July 5, 2019 are specifically studied to determine its dynamic characteristics and building specific behavior. The structure exhibits torsional behavior most likely due to abrupt asymmetrical changes in the thickness and size in-plan of the core shear wall system. Modal shapes, frequencies and critical damping percentages of the building are identified. The translational and torsional modes during the earthquake are not closely coupled with fundamental NS, EW and torsional frequencies (periods) of 0.16 (6.25), 0.27(3.70) and 0.42 (2.38) Hz (seconds). This does not lead to a beating effect even though there is an appearance of it in the displacement records. Due to the relatively low amplitude of shaking during the earthquake, the drift ratios are too small to cause any damage. It is expected that during stronger shaking levels likely to be caused by future events, these characteristics may change and the effect of BRB’s can be better assessed.","conferenceTitle":"17th World Conference on Earthquake Engineering","conferenceDate":"Sept. 13-18, 2020","conferenceLocation":"Sendai, Japan","language":"English","publisher":"International Association for Earthquake Engineering","usgsCitation":"Celebi, M., Ghahari, S., Haddadi, H., and Taciroglu, E., 2020, Response of the tallest California building during the Mw7.1 July 5, 2019 Ridgecrest, California earthquake, 17th World Conference on Earthquake Engineering, Sendai, Japan, Sept. 13-18, 2020, C000253.","productDescription":"C000253","ipdsId":"IP-114622","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.2613956928253,\n 34.04933483636836\n ],\n [\n -118.25936794281006,\n 34.04933483636836\n ],\n [\n -118.25936794281006,\n 34.05107714851305\n ],\n [\n -118.2613956928253,\n 34.05107714851305\n ],\n [\n -118.2613956928253,\n 34.04933483636836\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":852751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghahari, S. F.","contributorId":296773,"corporation":false,"usgs":false,"family":"Ghahari","given":"S. F.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":852752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haddadi, Hamid","contributorId":296690,"corporation":false,"usgs":false,"family":"Haddadi","given":"Hamid","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":852753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taciroglu, Ertugrul","contributorId":176616,"corporation":false,"usgs":false,"family":"Taciroglu","given":"Ertugrul","email":"","affiliations":[],"preferred":false,"id":852754,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216078,"text":"70216078 - 2020 - North Atlantic right whale (Eubalaena glacialis) scenario planning summary report","interactions":[],"lastModifiedDate":"2021-10-01T16:33:48.598484","indexId":"70216078","displayToPublicDate":"2020-12-31T11:15:50","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5145,"text":"Technical Memorandum","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"MNFS-OPR-68","displayTitle":"North Atlantic right whale (Eubalaena glacialis) scenario planning summary report","title":"North Atlantic right whale (Eubalaena glacialis) scenario planning summary report","docAbstract":"Scenario planning provides a structured framework that can be used in strategic planning to help manage risk and prioritize actions (Schwartz 1996; Peterson et al. 2003). By providing a mechanism to communicate about complex situations, scenario planning encourages “out-of-the-box” thinking to help groups assess the impacts of plausible future scenarios on a target or resource. The outcomes from scenario planning can be used to improve management decisions, highlight data gaps, and/or identify future science priorities (Star et al. 2015; Borggaard et al. 2019).\nThe application of scenario planning by resource management organizations (e.g., Borggaard et al. 2019; Runyon et al. 2020; Star et al. 2015) and the urgency surrounding the recovery of the critically endangered North Atlantic right whale (Eubalaena glacialis), led to a 2018 NOAA Fisheries scenario planning initiative for the species. In addition to complementing the many management and conservation efforts already underway, this initiative was designed to address the uncertainties around future anthropogenic and environmental changes and how these uncertainties may impact species recovery.\nWe used a scenario planning framework to explore plausible future conditions for North Atlantic right whales and to develop possible options to address those conditions and improve recovery. Specific objectives were to: 1) better understand the challenges of right whale management in a changing climate; 2) identify potential research activities and recovery needs across the species’ range; 3) increase coordination and collaboration related to recovery efforts; and 4) explore how scenario planning can be used to support decisions.\nUsing projected changes in ocean conditions coupled with anthropogenic stressors, we built four plausible future scenarios for right whales. These scenarios helped identify priority research and management actions that NOAA Fisheries and our partners can undertake to improve right whale recovery. We identified priority actions related to science, management, and partnerships including, but not limited to, 1) research on shifting spatial and temporal distributions of right whales and prey in a changing climate; 2) development of technology to further reduce impacts from human activities; 3) continuation of ongoing management efforts related to vessel traffic and fishing; and 4) continued maintenance of existing and development of new partnerships (e.g., industry engagement in problem solving).\nThis scenario planning exercise helped prioritize North Atlantic right whale management and science needs in light of changing ocean conditions and anthropogenic impacts. It can also serve as a reference for how NOAA Fisheries and its partners can better prepare for multiple plausible futures while complementing other on-going initiatives. Priorities identified here can be considered in conjunction with implementation and monitoring actions such as with the Atlantic Large Whale Take Reduction Team (ALWTRT) and/or regional Right Whale U.S. Implementation Teams. The framework can also be repeated and improved upon as additional information becomes available to support future exercises.","language":"English","publisher":"NOAA","usgsCitation":"Borggaard, D., Dick, D., Star, J., Zoodsma, B., Alexander, M., Asaro, M.J., Barre, L., Bettridge, S., Burns, P., Crocker, J., Dortch, Q., Garrison, L., Gulland, F., Haskell, B., Hayes, S., Henry, A., Hyde, K., Milliken, H., Morin, D., Quinlan, J., Rowles, T., Saba, V., Staudinger, M., and Walsh, H., 2020, North Atlantic right whale (Eubalaena glacialis) scenario planning summary report: Technical Memorandum MNFS-OPR-68, 94 p.","productDescription":"94 p.","ipdsId":"IP-122509","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":390132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":390131,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://media.fisheries.noaa.gov/2021-03/TMOPR68_508Compliant%20%283%29.pdf?null"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Borggaard, Diane","contributorId":244380,"corporation":false,"usgs":false,"family":"Borggaard","given":"Diane","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dick, Dori","contributorId":244381,"corporation":false,"usgs":false,"family":"Dick","given":"Dori","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Star, Jonathan","contributorId":244382,"corporation":false,"usgs":false,"family":"Star","given":"Jonathan","affiliations":[],"preferred":false,"id":803928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zoodsma, Barbara","contributorId":244383,"corporation":false,"usgs":false,"family":"Zoodsma","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":803929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alexander, Michael A.","contributorId":244384,"corporation":false,"usgs":false,"family":"Alexander","given":"Michael A.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803930,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Asaro, Michael J.","contributorId":244385,"corporation":false,"usgs":false,"family":"Asaro","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803931,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barre, Lynne","contributorId":244386,"corporation":false,"usgs":false,"family":"Barre","given":"Lynne","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803932,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bettridge, Shannon","contributorId":244387,"corporation":false,"usgs":false,"family":"Bettridge","given":"Shannon","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803933,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Burns, 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Lance","contributorId":244391,"corporation":false,"usgs":false,"family":"Garrison","given":"Lance","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803937,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gulland, Frances","contributorId":244392,"corporation":false,"usgs":false,"family":"Gulland","given":"Frances","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803938,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Haskell, Ben","contributorId":244393,"corporation":false,"usgs":false,"family":"Haskell","given":"Ben","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803939,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hayes, Sean","contributorId":244394,"corporation":false,"usgs":false,"family":"Hayes","given":"Sean","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803940,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Henry, Allison","contributorId":244395,"corporation":false,"usgs":false,"family":"Henry","given":"Allison","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803941,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hyde, K.","contributorId":266182,"corporation":false,"usgs":false,"family":"Hyde","given":"K.","email":"","affiliations":[],"preferred":false,"id":824532,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Milliken, Henry","contributorId":244396,"corporation":false,"usgs":false,"family":"Milliken","given":"Henry","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803942,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Morin, David","contributorId":244397,"corporation":false,"usgs":false,"family":"Morin","given":"David","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803943,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Quinlan, John","contributorId":244398,"corporation":false,"usgs":false,"family":"Quinlan","given":"John","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803944,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Rowles, Teri","contributorId":244399,"corporation":false,"usgs":false,"family":"Rowles","given":"Teri","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803945,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Saba, Vincent","contributorId":244400,"corporation":false,"usgs":false,"family":"Saba","given":"Vincent","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803946,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Staudinger, Michelle 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":206655,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":803947,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Walsh, Harvey","contributorId":244401,"corporation":false,"usgs":false,"family":"Walsh","given":"Harvey","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803948,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}} ,{"id":70217055,"text":"fs20203070 - 2020 - Early warning pesticide monitoring in Nevada’s surface waters","interactions":[],"lastModifiedDate":"2020-12-31T16:40:07.217712","indexId":"fs20203070","displayToPublicDate":"2020-12-31T11:15:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3070","displayTitle":"Early Warning Pesticide Monitoring in Nevada’s Surface Waters","title":"Early warning pesticide monitoring in Nevada’s surface waters","docAbstract":"

A pesticide is a substance, or mixture of substances, used to kill or control insects, weeds, plant diseases, and other pest organisms. Commercial pesticide applicators, farmers, and homeowners apply about 1.1 billion pounds of pesticides annually to agricultural land, non-crop land, and urban areas throughout the United States. Although intended for beneficial uses, there are also risks associated with pesticide applications, including contamination of groundwater and surface-water resources, which can adversely affect aquatic life and water supplies. Pesticides can contaminate groundwater and surface water directly through point sources (spills, disposal sites, or pesticide drift during an application). The main avenue of contamination, however, is indirect by non-point sources, which include agricultural and urban runoff, erosion, leaching from application sites, and precipitation that has become contaminated by upwind applications.

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Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road
Carson City, Nevada 89701

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","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2020-12-31","noUsgsAuthors":false,"publicationDate":"2020-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Huntington, Jena M. 0000-0002-9291-1404 jmhunt@usgs.gov","orcid":"https://orcid.org/0000-0002-9291-1404","contributorId":2294,"corporation":false,"usgs":true,"family":"Huntington","given":"Jena","email":"jmhunt@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Entz, Derek C.","contributorId":245977,"corporation":false,"usgs":false,"family":"Entz","given":"Derek","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":807419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thodal, Carl E. 0000-0003-0782-3280 cethodal@usgs.gov","orcid":"https://orcid.org/0000-0003-0782-3280","contributorId":2292,"corporation":false,"usgs":true,"family":"Thodal","given":"Carl","email":"cethodal@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807420,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215999,"text":"70215999 - 2020 - The response of streams to changes in atmospheric deposition of sulfur and nitrogen in the Adirondack Mountains","interactions":[],"lastModifiedDate":"2021-10-01T15:52:52.924612","indexId":"70215999","displayToPublicDate":"2020-12-31T10:48:48","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":9141,"text":"Final Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"20-19","title":"The response of streams to changes in atmospheric deposition of sulfur and nitrogen in the Adirondack Mountains","docAbstract":"

Acidic deposition is the result of upwind sulfur (S) and nitrogen (N) emissions into the atmosphere from human activities. Environmental impacts from acidic deposition across forested landscapes include acidification of soil and drainage water, depletion of available soil nutrient bases, and impacts to and changes in forest and aquatic species composition and biodiversity. Acidic deposition can mobilize aluminum (Al) from soil-to-soil solution and subsequently to drainage water in forms that can be toxic to aquatic life. When exposed to decreasing levels of acidic deposition, which has been occurring in New York since the late 1970s, some soils and drainage waters have become gradually less acidic. Remaining questions relate to effects on stream resources, anticipated resource recovery under increasingly lower levels of deposition, and the levels of deposition (target loads, TLs) needed to reach a range of stream ecosystem recovery targets. Environmental scientists commonly estimate thresholds of air pollutant emissions and resulting atmospheric deposition at which adverse ecological effects are manifested. This analysis is often done using critical loads (CL) and/or TLs, using approaches that account for the spatial and temporal aspects of acidification and recovery. Exceedance represents the extent to which current levels of acidic deposition exceed the level expected to cause ecological harm. The research reported here is intended to help address S and N deposition TLs and ecosystem recovery of Adirondack streams, a resource that has been less thoroughly investigated than lakes. The overarching goal of this work is to highlight key considerations that will help inform decision-makers and ecosystem managers who are responsible for environmental policy in New York State and beyond. Salient aspects of stream TL modeling are discussed with an aim of informing not only scientists, but also policymakers, ecosystem managers, and nonscientists who are required to make decisions related to the effects of acidic deposition on natural ecosystems. Analyses reported herein quantify relations among chemical indicators and metrics of fish community health and biodiversity in streams of the Adirondack Park. This information is used to indicate levels of atmospheric deposition necessary to alleviate harmful effects on fish populations. Results of this investigation provide a framework that can be applied to better understand how modeled stream acid neutralizing capacity (ANC) values that are developed to support TL investigations can be adjusted to reflect high-flow ANC values that may be associated with toxic conditions. Since process models are often calibrated to a low-flow or average flow condition, the magnitude and spatial extent of TL exceedances increase substantially when episodic acidification is considered.

","language":"English","publisher":"New York State Energy Research and Development Authority","usgsCitation":"Driscoll, C., Shao, S., Sullivan, T.J., McDonnell, T.C., Baldigo, B.P., Burns, D., and Lawrence, G.B., 2020, The response of streams to changes in atmospheric deposition of sulfur and nitrogen in the Adirondack Mountains: Final Report 20-19, 166 p.","productDescription":"166 p.","ipdsId":"IP-103637","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":390128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":390127,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.nyserda.ny.gov/-/media/Files/Publications/Research/Environmental/20-19-Responses-of-Streams-in-the-Adirondack-Mountains.pdf"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.00390625,\n 43.11702412135048\n ],\n [\n -73.41064453125,\n 43.44494295526125\n ],\n [\n -73.3447265625,\n 44.000717834282774\n ],\n [\n -73.32275390625,\n 44.32384807250689\n ],\n [\n -73.6083984375,\n 44.84029065139799\n ],\n [\n -74.014892578125,\n 44.933696389694674\n ],\n [\n -74.564208984375,\n 44.793530904744074\n ],\n [\n -75.091552734375,\n 44.53567453241317\n ],\n [\n -75.487060546875,\n 44.06390660801779\n ],\n [\n -75.35522460937499,\n 43.492782808225\n ],\n [\n -74.893798828125,\n 43.18114705939968\n ],\n [\n -74.520263671875,\n 43.068887774169625\n ],\n [\n -74.00390625,\n 43.11702412135048\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Driscoll, Charles T.","contributorId":240874,"corporation":false,"usgs":false,"family":"Driscoll","given":"Charles T.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":803731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shao, Shuai","contributorId":222597,"corporation":false,"usgs":false,"family":"Shao","given":"Shuai","email":"","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":803735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Timothy J.","contributorId":196720,"corporation":false,"usgs":false,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":803732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonnell, Todd C.","contributorId":127622,"corporation":false,"usgs":false,"family":"McDonnell","given":"Todd","email":"","middleInitial":"C.","affiliations":[{"id":7087,"text":"Scientist, E&S Environmental Chemistry Inc, Corvallis OR","active":true,"usgs":false}],"preferred":false,"id":803736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803733,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803734,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803737,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70217210,"text":"70217210 - 2020 - Potentiometric surface maps of selected confined aquifers in southern Maryland and Maryland's eastern shore, 2019","interactions":[],"lastModifiedDate":"2021-09-30T15:54:38.216304","indexId":"70217210","displayToPublicDate":"2020-12-31T10:47:46","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":128,"text":"Open-File Report","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"20-02-01","title":"Potentiometric surface maps of selected confined aquifers in southern Maryland and Maryland's eastern shore, 2019","docAbstract":"

This report presents potentiometric-surface maps of the Aquia and Magothy aquifers and the Upper Patapsco, Lower Patapsco, and Patuxent aquifer systems using water levels measured during the fall season of 2019. The potentiometric surface maps show water levels ranging from 56 feet above sea level to 163 feet below sea level in the Aquia aquifer, from 87 feet above sea level to 119 feet below sea level in the Magothy aquifer, from 114 feet above sea level to 120 feet below sea level in the Upper Patapsco aquifer system, from 136 feet above sea level to 174 feet below sea level in the Lower Patapsco aquifer system, and from 168 feet above sea level to 184 feet below sea level in the Patuxent aquifer system.

Cones of depression have formed around locations with significant aquifer withdrawals. The Aquia aquifer has depressed water levels around well fields at Lexington Park, Solomons Island, and central Talbot County. Cones of depression have formed in the Magothy aquifer around well fields at Waldorf, Arnold, and Easton. The Upper Patapsco aquifer system has depressed water levels around well fields in the Annapolis-Arnold area, Waldorf, the Lexington Park-Leonardtown area, and at Easton. The Lower Patapsco aquifer system has depressed water levels around well fields at Severndale, Broad Creek, Arnold, and Crofton Meadows as well as in central and western Charles County. Cones of depression have formed in the Patuxent aquifer system around well fields at Dorsey Road, Crofton, Arnold, northwestern Charles County, and at the Chalk Point power plant.

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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Staley, Andrew W.","contributorId":178867,"corporation":false,"usgs":false,"family":"Staley","given":"Andrew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":808011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andreasen, David C.","contributorId":178868,"corporation":false,"usgs":false,"family":"Andreasen","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":808012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marchand, Elizabeth H. 0000-0003-2291-6282","orcid":"https://orcid.org/0000-0003-2291-6282","contributorId":247604,"corporation":false,"usgs":true,"family":"Marchand","given":"Elizabeth","email":"","middleInitial":"H.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":808013,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70220610,"text":"70220610 - 2020 - Council monitoring and assessment program (CMAP): Common monitoring program attributes and methodologies for the Gulf of Mexico Region","interactions":[],"lastModifiedDate":"2021-05-21T15:45:26.898403","indexId":"70220610","displayToPublicDate":"2020-12-31T10:37:21","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5134,"text":"NOAA Technical Memorandum","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"285","title":"Council monitoring and assessment program (CMAP): Common monitoring program attributes and methodologies for the Gulf of Mexico Region","docAbstract":"

Executive Summary Under the Resources and Ecosystem Sustainability, Tourist Opportunities, and Revived Economies of the Gulf Coast States Act of 2012 (RESTORE Act), the Gulf Coast Ecosystem Restoration Council (RESTORE Council or Council) is required to report on the progress of funded projects and programs. Systematic monitoring of restoration at the project-specific and programmatic-levels (i.e., watershed and Gulf of Mexico) enables consistent reporting and gives the public confidence that the restoration investments selected by the RESTORE Council will be evaluated and adaptively managed accordingly. Monitoring information that has been collected at different spatial and temporal scales can be used as the foundation to illustrate progress towards comprehensive ecosystem restoration goals and objectives that promote holistic Gulf of Mexico recovery (see ‘RESTORE Council Background’ at the beginning of this report for additional Council information).

Federal, state and local agencies, universities, private industry, and non-governmental organizations (NGOs) have conducted and are conducting extensive monitoring activities around the Gulf of Mexico. In addition, each RESTORE Council-funded project will, at a minimum, perform project-specific monitoring. This collection of monitoring activities was inventoried and compiled into a framework of tools and resources by the Council-funded RESTORE Council Monitoring and Assessment Program (CMAP). CMAP was designed and funded to inventory and integrate existing water quality and habitat monitoring and mapping efforts to support discovery and accessibility of existing monitoring data and ensure the collected information is made available to support management decisions. Results of CMAP Inventory queries can be used to identify opportunities for efficiencies and support crossprogram review of performance across Gulf of Mexico ecosystem recovery efforts.

The fundamental approach being used to inform the build out of the CMAP Gulf of Mexico water quality monitoring, habitat monitoring, and mapping framework includes: 1. Adopt, or construct as needed, a comprehensive inventory of existing habitat and water quality observation, monitoring, and mapping programs in the Gulf of Mexico (hereafter referred to as the “Inventory”; NOAA and USGS, 2019a); 2. Evaluate the suitability/applicability of each program and its existing and prospective data for use in restoration activities; 3. Develop a process to use the Inventory to conduct gap assessments; 4. Develop a catalog of baseline assessments conducted in the Gulf of Mexico (NOAA and USGS, 2019b); and 5. Develop a searchable monitoring information portal/database to enable access to collected information and products.

","language":"English","publisher":"National Oceanic and Atmospheric Administration (NOAA)","doi":"10.25923/vxay-xz10","usgsCitation":"Bosch, J., Burkart, H.B., Chivoiu, B., Clark, R., Clement, C., Enwright, N., Giordano, S., Jeffrey, C., Johnson, E., Hart, R., Hile, S.D., Howell, J.S., Laurenzano, C., Lee, M., McCloskey, T., McTigue, T., Meyers, M.B., Miller, K.E., Mize, S., Monaco, M.E., Owen, K., Rebich, R., Rendon, S.H., Robertson, A., Sample, T., Sanks, K.M., Steyer, G., Suir, K., Swarzenski, C.M., and Thurman, H.R., 2020, Council monitoring and assessment program (CMAP): Common monitoring program attributes and methodologies for the Gulf of Mexico Region: NOAA Technical Memorandum 285, ii, 87 p., https://doi.org/10.25923/vxay-xz10.","productDescription":"ii, 87 p.","ipdsId":"IP-120968","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research 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Prior to the advent of white-nose syndrome (WNS), most bat conservation in the eastern United States consisted of one issue: the known or suspected presence of the endangered Indiana bat (Myotis sodalis). The National Environmental Policy Act and the Endangered Species Act requires Department of Defense land managers to prioritize identification, monitoring, and conservation of Indiana bat day-roost areas, foraging habitat during the maternity season, and pre-hibernation swarming sites during autumn.

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La Asociación de Servicios Geológicos y Mineros de Iberoamérica (ASGMI), bajo los auspicios de la Comisión de la Carta Geológica del Mundo (CCGM) preparó la primera versión del Mapa Metalogénico de América Central y el Caribe. La coordinación general estuvo a cargo del Servicio Geológico Minero Argentino (SEGEMAR), con tres coordinaciones regionales: América Central a cargo del Servicio Geológico Mexicano (SGM), las islas del Caribe a cargo del Servicio Geológico Nacional de la República Dominicana y el norte de América del Sur a cargo del Servicio Geológico Colombiano. Participaron además los Servicios Geológicos, Direcciones de Minería u organismos equivalentes de los países involucrados, que designaron Coordinadores Nacionales. El proyecto fue presentado y aprobado en ocasión de la Asamblea de ASGMI realizada en La Habana (Cuba) en 2017. Posteriormente fue presentado ante la Comisión de la Carta Geológica del Mundo (CCGM) en París en 2018. Los objetivos, criterios metodológicos y cronograma de trabajo fueron así establecidos. En los años 2018 y 2019 se realizaron dos reuniones de los participantes, una en Santo Domingo, República Dominicana, y otra en Tegucigalpa, Honduras. Los avances del mapa fueron presentados durante la Reunión Santo Domingo de 2018 y en ocasión del XV Simposio IAGOD, celebrado en Salta (Argentina) ese mismo año. El mapa fue generado digitalmente a partir del Mapa Estructural del Caribe (Bouysse et al., 2020), provisto por la Comisión de la Carta Geológica del Mundo, realizándose una actualización de la información geológica, a partir de la bibliografía citada en el texto. Los polígonos fueron reclasificados y reagrupados en orden a definir unidades tectonoestratigráficas y mejor reflejar la metalogénesis de la región.
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David","contributorId":255369,"corporation":false,"usgs":false,"family":"Jara","given":"David","email":"","affiliations":[{"id":51517,"text":"Sevicio de Geologia, Minas y Petroleo de Costa Rica","active":true,"usgs":false}],"preferred":false,"id":812261,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cazanas-Diaz, X","contributorId":255373,"corporation":false,"usgs":false,"family":"Cazanas-Diaz","given":"X","email":"","affiliations":[{"id":51519,"text":"Instituto de Geología y Paleontología","active":true,"usgs":false}],"preferred":false,"id":812262,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Torres-Zafra, Jorge L.","contributorId":255374,"corporation":false,"usgs":false,"family":"Torres-Zafra","given":"Jorge","email":"","middleInitial":"L.","affiliations":[{"id":51520,"text":"Instituto de Geologia y Paleontologia","active":true,"usgs":false}],"preferred":false,"id":812263,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cobiella-Reguera, Jorge L.","contributorId":255377,"corporation":false,"usgs":false,"family":"Cobiella-Reguera","given":"Jorge","email":"","middleInitial":"L.","affiliations":[{"id":51520,"text":"Instituto de Geologia y Paleontologia","active":true,"usgs":false}],"preferred":false,"id":812264,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zurcher, Lukas 0000-0001-5575-1192 lzurcher@usgs.gov","orcid":"https://orcid.org/0000-0001-5575-1192","contributorId":172674,"corporation":false,"usgs":true,"family":"Zurcher","given":"Lukas","email":"lzurcher@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":812265,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Orris, Greta J. 0000-0002-2340-9955 greta@usgs.gov","orcid":"https://orcid.org/0000-0002-2340-9955","contributorId":3472,"corporation":false,"usgs":true,"family":"Orris","given":"Greta","email":"greta@usgs.gov","middleInitial":"J.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":812266,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","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":812267,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Maldonado-Diaz, Carolina","contributorId":255379,"corporation":false,"usgs":false,"family":"Maldonado-Diaz","given":"Carolina","email":"","affiliations":[{"id":51523,"text":"Instituto de Fomento Municipal-Gobierno de Guatemala","active":true,"usgs":false}],"preferred":false,"id":812268,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rodriguez, Noe","contributorId":255378,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Noe","email":"","affiliations":[{"id":51522,"text":"Instituto Hondureño de Geología y Minas","active":true,"usgs":false}],"preferred":false,"id":812269,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Merida-Montiel, Ramon","contributorId":255381,"corporation":false,"usgs":false,"family":"Merida-Montiel","given":"Ramon","email":"","affiliations":[{"id":18925,"text":"Servicio Geologico Mexicano","active":true,"usgs":false}],"preferred":false,"id":812270,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Zarruk, Carlos A.","contributorId":255380,"corporation":false,"usgs":false,"family":"Zarruk","given":"Carlos","email":"","middleInitial":"A.","affiliations":[{"id":51524,"text":"PRONicaragua","active":true,"usgs":false}],"preferred":false,"id":812271,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70215354,"text":"70215354 - 2020 - Smallmouth buffalo (Ictiobus bubalus) growth across a 1200km human use and ecological disturbance gradient in the Upper Mississippi River System","interactions":[],"lastModifiedDate":"2021-10-01T15:35:34.106947","indexId":"70215354","displayToPublicDate":"2020-12-31T10:25:19","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":9371,"text":"Mississippi River Restoration Program","active":true,"publicationSubtype":{"id":1}},"displayTitle":"Smallmouth buffalo (Ictiobus bubalus) growth across a 1200km human use and ecological disturbance gradient in the Upper Mississippi River System","title":"Smallmouth buffalo (Ictiobus bubalus) growth across a 1200km human use and ecological disturbance gradient in the Upper Mississippi River System","docAbstract":"Smallmouth buffalo (Ictiobus bubalus) is a common and widely distributed large-bodied species of the family Catostomidae. It inhabits large rivers and reservoirs of the eastern continental United States (east of the continental Divide) and is most abundant and common in the large rivers of the Midwest and Central Plains, though it does occur as far north and east as the Hudson Bay drainage and as far south and west as Arizona (Edwards and Twoney 1982).\n\nHistorically, smallmouth buffalo were an important component of commercial fisheries on both the Mississippi and Illinois Rivers. However, following the introduction of common carp (Cyprinus carpio) in the mid-1800s (Carlander 1954), the construction of a system of navigation dams on Upper Mississippi and Illinois River in the 1930s (USGS 1999), and water quality/pollution issues through the 1980s (Weiner 2010), the role of smallmouth buffalo in the overall UMRS fish community and commercial fishery has generally diminished relative to historical standards. Still, smallmouth buffalo remains an important and valued component of the UMRS commercial fishery.\n\nThe study area is represented by three study reaches on the Illinois River and three study reaches on the Upper Mississippi River (Figure 1). Collectively, these study reaches represent nearly 1200 river km and exist across strong and pronounced ecological and disturbance gradients. For example, habitat composition, water quality, commercial navigation intensity, aquatic plant prominence, and the number and abundance of nonnative fish species vary strongly across the study domain, with northern Mississippi River reaches exhibiting less navigation traffic, better water quality, markedly greater aquatic plant prominence, more diverse habitat composition, and comparably much smaller numbers of nonnative species than the lower Mississippi River study reach and those on the Illinois River (USGS 1999; Johnson and Hagerty [eds] 2008; Irons et al. 2009).\n\nLong term monitoring efforts conducted under the auspices of the Upper Mississippi River Restoration program over the past 27 years have provided tremendous insights into shifts and changes of the overall UMRS fish community (Ickes et al. 2005; Garvey et al. 2010; Schramm and Ickes 2016). However, these monitoring efforts observe only the most basic aspects of the UMRS fish community (i.e., catch, length, weight, distribution, and occurrence). To gain a greater understanding of forces driving community level shifts and changes, more directed study is needed on the functional attributes of fish populations (i.e., growth, mortality, recruitment). Collectively, these functional attributes of populations are termed population dynamics and/or vital rates.\n\nIt is important to note, the population dynamics of fishes in large rivers is generally poorly understood, especially for non-game species (Ickes 2018). The prevailing view is that abiotic factors largely govern inter-annual population dynamics, typically based upon rather short-term observations and correlations with assorted abiotic river attributes that vary on a seasonal or annual basis (for example, Risotto and Turner 1985). However, the role that longer-term abiotic factors play in regulating population abundance, or that biotic factors internal to the population (e.g., spawner-recruit dynamics, growth dynamics) or external to the population (e.g., predator-prey dynamics, sympatric competitors, disease) remain poorly understood. Achieving a greater understanding of these dynamics is important for stock, game, and invasive species management.\n\nIn 2017, as part of a larger study designed to gain vital population rate information for smallmouth buffalo in the Upper Mississippi and Illinois Rivers (“Smallmouth Buffalo population demographics of the Upper Mississippi River System”; UMRR LTRM 2018SOW project items 2018MMBF1-2018MMBF6) annual growth patterns in smallmouth buffalo were determined and evaluated. This was accomplished by measuring growth histories recorded in annual growth increments on hard bony parts (here otoliths), a method known generically as biochronology, and somewhat analogous to dendrochronology practiced by foresters. These methods allow one to generate time-series of annual growth histories that depend upon age, year class (i.e., cohort), and annual environmental conditions experienced by the population over time (Weisberg, 1993).\n\nBiochronology methods were used to develop a 36-year time series of smallmouth buffalo growth in the Upper Mississippi and Illinois Rivers across a 1200 km ecological and human use disturbance gradient. Annual growth intervals were identified and measured from otoliths to determine fish age and growth history. A mixed model that parses the growth increment into age and year effects was fit to these data.\n\nGiven the pronounced ecological and disturbance gradients inherent to the UMRS and the study domain, an a priori expectation of differing patterns in growth is accepted as a null hypothesis to test.\n\nThe goal of this study was to model smallmouth buffalo growth as a function of the age of the fish and the growth year in which the growth was gained. The primary modeling objective was to parse growth observed on each annulus into a portion attributable to the age of the fish and the portion attributable to the year in which the growth was gained. In effect, this modeling approach removes the somewhat trivial age effects on growth so that a non-confounded growth year effect can be gained. Results attributable to growth year provide a time series of growth information that is of the same duration as the oldest fish observed and solely reflects environmental influences on growth. These model responses can then be investigated relative to environmental covariate time-series suspected of influencing growth of smallmouth buffalo in the Upper Mississippi and Illinois Rivers (e.g., temperature, discharge, population density, population mortality, forage availability, sympatric competition, habitat composition, navigation intensity, nonnative fish prominence, etc.). Thus, the primary scientific objective was to investigate if and how smallmouth buffalo growth varies in accordance with innate ecological and disturbance gradients across the study domain.","language":"English","publisher":"US Army Corps of Engineers","usgsCitation":"Ickes, B., 2020, Smallmouth buffalo (Ictiobus bubalus) growth across a 1200km human use and ecological disturbance gradient in the Upper Mississippi River System: Mississippi River Restoration Program, 16 p.","productDescription":"16 p.","ipdsId":"IP-111767","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":390126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":390125,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://umesc.usgs.gov/reports_publications/ltrmp_rep_list.html"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Illinois river, upper Mississippi River system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.285400390625,\n 40.329795743702064\n ],\n [\n -90.802001953125,\n 41.1290213474951\n ],\n [\n -90.06591796875,\n 41.88592102814744\n ],\n [\n -90.04394531249999,\n 42.13082130188811\n ],\n [\n -90.889892578125,\n 43.052833917627936\n ],\n [\n -91.14257812499999,\n 43.97700467496408\n ],\n [\n -91.900634765625,\n 44.47299117260252\n ],\n [\n -92.757568359375,\n 44.809121700077355\n ],\n [\n -93.71337890625,\n 45.390735154248894\n ],\n [\n -94.141845703125,\n 45.69083283645816\n ],\n [\n -94.15283203125,\n 46.37725420510028\n ],\n [\n -94.7021484375,\n 46.38483322349276\n ],\n [\n -94.39453125,\n 45.583289756006316\n ],\n [\n -93.44970703125,\n 44.92591837128866\n ],\n [\n -92.186279296875,\n 44.37098696297173\n ],\n [\n -91.64794921875,\n 43.98491011404692\n ],\n [\n -91.38427734374999,\n 43.74728909225908\n ],\n [\n -91.34033203125,\n 43.33316939281732\n ],\n [\n -91.2744140625,\n 42.64204079304426\n ],\n [\n -90.582275390625,\n 42.285437007491545\n ],\n [\n -90.3515625,\n 42.00032514831621\n ],\n [\n -91.219482421875,\n 41.36856413680967\n ],\n [\n -91.669921875,\n 40.622291783092706\n ],\n [\n -91.7138671875,\n 39.93501296038254\n ],\n [\n -90.8349609375,\n 38.75408327579141\n ],\n [\n -90.384521484375,\n 38.762650338334154\n ],\n [\n -90.494384765625,\n 38.298559092254344\n ],\n [\n -89.857177734375,\n 37.60552821745789\n ],\n [\n -89.58251953125,\n 37.02886944696474\n ],\n [\n -89.53857421875,\n 36.82687474287728\n ],\n [\n -89.80224609374999,\n 36.30627216957992\n ],\n [\n -89.384765625,\n 36.32397712011264\n ],\n [\n -89.02221679687499,\n 36.76529191711624\n ],\n [\n -89.110107421875,\n 37.28279464911045\n ],\n [\n -89.49462890625,\n 37.92686760148135\n ],\n [\n -90.263671875,\n 38.35027253825765\n ],\n [\n -89.912109375,\n 39.01064750994083\n ],\n [\n -90.50537109375,\n 39.18969082109678\n ],\n [\n -90.362548828125,\n 39.85915479295669\n ],\n [\n -89.593505859375,\n 40.51379915504413\n ],\n [\n -89.154052734375,\n 41.16211393939692\n ],\n [\n -88.4619140625,\n 41.253032440653186\n ],\n [\n -88.05541992187499,\n 41.3850519497068\n ],\n [\n -88.2861328125,\n 41.590796851056005\n ],\n [\n -89.549560546875,\n 41.42625319507269\n ],\n [\n -90.208740234375,\n 40.613952441166596\n ],\n [\n -90.867919921875,\n 39.90130858574735\n ],\n [\n -91.219482421875,\n 39.8928799002948\n ],\n [\n -91.285400390625,\n 40.329795743702064\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ickes, Brian 0000-0001-5622-3842 bickes@usgs.gov","orcid":"https://orcid.org/0000-0001-5622-3842","contributorId":2925,"corporation":false,"usgs":true,"family":"Ickes","given":"Brian","email":"bickes@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":801849,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70227729,"text":"70227729 - 2020 - Identifying and assessing priority transboundary aquifers along the United States- Mexico border","interactions":[],"lastModifiedDate":"2022-03-22T15:07:45.460807","indexId":"70227729","displayToPublicDate":"2020-12-31T10:06:58","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":9366,"text":"CCAST Case Study on Actionable Science","active":true,"publicationSubtype":{"id":1}},"title":"Identifying and assessing priority transboundary aquifers along the United States- Mexico border","docAbstract":"

Many of the 15 million inhabitants along the United States-Mexico border derive fresh water from transboundary aquifers straddling and extending far beyond the political boundary separating the two countries. The previous lack of a large-scale cooperative and structured data collection effort and groundwater management strategy for the region has left border communities with little information on current and future groundwater supplies. In 2006, the U.S. Federal Government enacted the United States – Mexico Transboundary Aquifer Assessment Act (Public Law 109–448) to address this issue.

","language":"English","publisher":"U.S. Bureau of Reclamation","usgsCitation":"Pasley, N.K., 2020, Identifying and assessing priority transboundary aquifers along the United States- Mexico border: CCAST Case Study on Actionable Science, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-123237","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":397397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":394960,"type":{"id":15,"text":"Index Page"},"url":"https://usbr.maps.arcgis.com/apps/MapSeries/index.html?appid=659fa1717014452aa67e88e228e28c12"}],"country":"Mexico, United States","state":"Chihuahua, New Mexico, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.5341796875,\n 30.44867367928756\n ],\n [\n -104.69970703125,\n 30.44867367928756\n ],\n [\n -104.69970703125,\n 32.194208672875384\n ],\n [\n -107.5341796875,\n 32.194208672875384\n ],\n [\n -107.5341796875,\n 30.44867367928756\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pasley, Nathaniel Kyle 0000-0001-7441-495X","orcid":"https://orcid.org/0000-0001-7441-495X","contributorId":272301,"corporation":false,"usgs":true,"family":"Pasley","given":"Nathaniel","email":"","middleInitial":"Kyle","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831941,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70216569,"text":"70216569 - 2020 - An analysis of Twitter responses to the 2019 Ridgecrest Earthquake sequence","interactions":[],"lastModifiedDate":"2021-10-04T11:52:22.142345","indexId":"70216569","displayToPublicDate":"2020-12-31T10:03:26","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An analysis of Twitter responses to the 2019 Ridgecrest Earthquake sequence","docAbstract":"

Previous research has shown that online social networks can provide valuable insights regarding collective human responses to extreme natural events, such as earthquakes. Most previous studies focused on one large earthquake, while the 2019 Ridgecrest earthquakes involved two significant earthquakes occurring within a short period of time (a M6.4 foreshock on July 4 and a M7.1 mainshock on July 5 in southern California). These earthquakes were the first time in more than a decade that the southern California region, with an estimated population of 15 million, felt light to moderate shaking over an extended period of time. This valuable opportunity allows us to study how people respond dynamically to such sequences of extreme events. We collected 510,579 tweets about the 2019 Ridgecrest earthquakes to answer the following research questions: (1) Which Twitter accounts were the major players? Did they behave differently and get different responses? (2) How did the publics' response change during these sequential earthquakes? and (3) Which earthquake-related rumors were disseminated on Twitter during the earthquake sequence, by whom, and at what time?

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2020 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data & Cloud Computing","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)","conferenceDate":"December 17-19, 2020","conferenceLocation":"Exeter, United Kingdom","language":"English","publisher":"International Conference on Social Computing and Networking","doi":"10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00127","usgsCitation":"Ruan, T., Kong, Q., Zhang, Y., McBride, S., and Lv, Q., 2020, An analysis of Twitter responses to the 2019 Ridgecrest Earthquake sequence, in 2020 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data & Cloud Computing, Exeter, United Kingdom, December 17-19, 2020, p. 810-818, https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00127.","productDescription":"9 p.","startPage":"810","endPage":"818","ipdsId":"IP-118686","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":390122,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.157958984375,\n 35.42486791930558\n ],\n [\n -117.3614501953125,\n 35.42486791930558\n ],\n [\n -117.3614501953125,\n 35.92464453144099\n ],\n [\n -118.157958984375,\n 35.92464453144099\n ],\n [\n -118.157958984375,\n 35.42486791930558\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ruan, Tao 0000-0002-6718-7223","orcid":"https://orcid.org/0000-0002-6718-7223","contributorId":245222,"corporation":false,"usgs":false,"family":"Ruan","given":"Tao","email":"","affiliations":[{"id":12502,"text":"University of Colorado - Boulder","active":true,"usgs":false}],"preferred":false,"id":805648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kong, Qingkai 0000-0002-7399-0661","orcid":"https://orcid.org/0000-0002-7399-0661","contributorId":245223,"corporation":false,"usgs":false,"family":"Kong","given":"Qingkai","email":"","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":805649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Yawen 0000-0002-6867-0399","orcid":"https://orcid.org/0000-0002-6867-0399","contributorId":245225,"corporation":false,"usgs":false,"family":"Zhang","given":"Yawen","email":"","affiliations":[{"id":12502,"text":"University of Colorado - Boulder","active":true,"usgs":false}],"preferred":false,"id":805650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":805651,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lv, Qin","contributorId":245227,"corporation":false,"usgs":false,"family":"Lv","given":"Qin","email":"","affiliations":[{"id":12502,"text":"University of Colorado - Boulder","active":true,"usgs":false}],"preferred":false,"id":805652,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70216703,"text":"70216703 - 2020 - Assessing the state of water resource knowledge and tools for future planning in the lower Rio Grande-Rio Bravo Basin","interactions":[],"lastModifiedDate":"2021-10-01T14:53:10.862751","indexId":"70216703","displayToPublicDate":"2020-12-31T09:51:38","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":9366,"text":"CCAST Case Study on Actionable Science","active":true,"publicationSubtype":{"id":1}},"title":"Assessing the state of water resource knowledge and tools for future planning in the lower Rio Grande-Rio Bravo Basin","docAbstract":"

The Rio Grande/Rio Bravo Basin (hereinafter referred to as the Rio Grande) is a transboundary basin, with the Rio Grande forming the border between the United States and Mexico for approximately 2,034 km. The waters of the Rio Grande serve as a critical drinking source for 13 million people, connecting numerous population centers representing diverse backgrounds and cultures along its length. Cross-border ecosystems and communities make water management strategies particularly challenging. With different regulations and societal interests in the two countries, developing effective water-management strategies is challenging and requires the coordination of diverse interested parties representing different government agencies, institutions, and stakeholder groups with varying and sometimes conflicting objectives. To better evaluate the human and environmental water needs (environmental flows) of this constrained river system, an improved understanding of past and present water management objectives, policies, allocation practices, and water use is needed.

","language":"English","publisher":"Collaborative Conservation and Adaptation Strategy Toolbox (CCAST)","usgsCitation":"Casarez, I.R., Sandoval-Solis, S., and Ortiz-Partida, J.P., 2020, Assessing the state of water resource knowledge and tools for future planning in the lower Rio Grande-Rio Bravo Basin: CCAST Case Study on Actionable Science, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-123346","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":390121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":390120,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://usbr.maps.arcgis.com/apps/MapSeries/index.html?appid=fdb848b819c94e2e8b1a800e7a5fc54c"}],"country":"Mexico, United States","otherGeospatial":"Lower Rio Grande-Río Bravo Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.80859375,\n 30.29701788337205\n ],\n [\n -104.67773437499999,\n 30.29701788337205\n ],\n [\n -104.67773437499999,\n 32.10118973232094\n ],\n [\n -108.80859375,\n 32.10118973232094\n ],\n [\n -108.80859375,\n 30.29701788337205\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Casarez, Ilana Renae 0000-0001-7690-3802","orcid":"https://orcid.org/0000-0001-7690-3802","contributorId":228961,"corporation":false,"usgs":true,"family":"Casarez","given":"Ilana","email":"","middleInitial":"Renae","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandoval-Solis, Samuel 0000-0003-0329-3243","orcid":"https://orcid.org/0000-0003-0329-3243","contributorId":257770,"corporation":false,"usgs":false,"family":"Sandoval-Solis","given":"Samuel","email":"","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":824529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ortiz-Partida, Jose P.","contributorId":266181,"corporation":false,"usgs":false,"family":"Ortiz-Partida","given":"Jose","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":824530,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217611,"text":"70217611 - 2020 - Coastal permafrost erosion","interactions":[],"lastModifiedDate":"2021-01-25T15:43:05.846253","indexId":"70217611","displayToPublicDate":"2020-12-31T09:40:26","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7564,"text":"Arctic Report Card","active":true,"publicationSubtype":{"id":1}},"title":"Coastal permafrost erosion","docAbstract":"

Highlights
• Since the early 2000s, erosion of permafrost coasts in the Arctic has increased at 13 of 14 sites with observational data that extend back to ca. 1960 and ca. 1980, coinciding with warming temperatures, sea ice reduction, and permafrost thaw.
• Permafrost coasts along the US and Canadian Beaufort Sea experienced the largest increase in erosion rates in the Arctic, ranging from +80 to +160%, when comparing average rates from the last two decades of the 20th century with the first two decades of the 21st century.
• The initiation of several national and international research networks in recent years has enabled closer coordination and collaboration of measurements and a better understanding of pan-Arctic permafrost coastal dynamics.

","language":"English","publisher":"NOAA","doi":"10.25923/e47w-dw52","usgsCitation":"Jones, B., Irrgang, A.M., Farquharson, L.M., Lantuit, H., Whalen, D., Ogorodov, S., Grigoriev, M., Tweedie, C.E., Gibbs, A.E., Strzelecki, M.C., Baranskaya, A., Belova, N., Sinitsyn, A., Kroon, A., Maslakov, A., Vieira, G., Grosse, G., Overduin, P., Nitze, I., Maio, C.V., Overbeck, J.R., Bendixen, M., Zagorski, P., and Romanovsky, V., 2020, Coastal permafrost erosion: Arctic Report Card, 10 p., https://doi.org/10.25923/e47w-dw52.","productDescription":"10 p.","ipdsId":"IP-123074","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":436690,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CRBC5I","text":"USGS data release","linkHelpText":"A GIS compilation of vector shorelines and coastal bluff edge positions, and associated rate-of-change data for Barter Island, 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of Geography and Regional Development, University of Wroclaw, Wroclaw, Poland","active":true,"usgs":false}],"preferred":false,"id":808877,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Baranskaya, Alisa","contributorId":248322,"corporation":false,"usgs":false,"family":"Baranskaya","given":"Alisa","affiliations":[{"id":49852,"text":"Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia","active":true,"usgs":false}],"preferred":false,"id":808878,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Belova, Nataliya","contributorId":248323,"corporation":false,"usgs":false,"family":"Belova","given":"Nataliya","email":"","affiliations":[{"id":49852,"text":"Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia","active":true,"usgs":false}],"preferred":false,"id":808879,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sinitsyn, Anatoly","contributorId":248324,"corporation":false,"usgs":false,"family":"Sinitsyn","given":"Anatoly","email":"","affiliations":[{"id":49855,"text":"SINTEF AS, SINTEF Community, Trondheim, Norway","active":true,"usgs":false}],"preferred":false,"id":808880,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kroon, Art","contributorId":248325,"corporation":false,"usgs":false,"family":"Kroon","given":"Art","email":"","affiliations":[{"id":49856,"text":"Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":808881,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Maslakov, Alexey","contributorId":248326,"corporation":false,"usgs":false,"family":"Maslakov","given":"Alexey","email":"","affiliations":[{"id":49852,"text":"Faculty of Geography, Lomonosov Moscow State University, Moscow, 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Paul","contributorId":248328,"corporation":false,"usgs":false,"family":"Overduin","given":"Paul","email":"","affiliations":[{"id":49850,"text":"Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":808885,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Nitze, Ingmar","contributorId":191057,"corporation":false,"usgs":false,"family":"Nitze","given":"Ingmar","affiliations":[],"preferred":false,"id":808886,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Maio, Christopher V.","contributorId":208635,"corporation":false,"usgs":false,"family":"Maio","given":"Christopher","email":"","middleInitial":"V.","affiliations":[{"id":37850,"text":"University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":808887,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Overbeck, Jacquelyn R.","contributorId":181813,"corporation":false,"usgs":false,"family":"Overbeck","given":"Jacquelyn","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":808888,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Bendixen, Mette","contributorId":248329,"corporation":false,"usgs":false,"family":"Bendixen","given":"Mette","email":"","affiliations":[{"id":49858,"text":"Institute of Arctic and Alpine Research (INSTAAR), University of Colorado, Boulder, USA","active":true,"usgs":false}],"preferred":false,"id":808889,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Zagorski, Piotr","contributorId":248330,"corporation":false,"usgs":false,"family":"Zagorski","given":"Piotr","email":"","affiliations":[{"id":49859,"text":"Institute of Earth and Environmental Sciences, Marie Curie- Skłodowska University, Lublin, 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River and northern part of the Badger Lake 7.5′ quadrangles, Hood River County, Oregon","docAbstract":"

The Dog River and northern part of the Badger Lake 7.5' quadrangles encompasses an area of ~201 km2 (77.6 mi2) of the High Cascades of north-central Oregon, lying across the eastern slopes of Mount Hood volcano (Figure 1-1; Plate 1; referred to herein as Dog River–Badger Lake area). Mount Hood, known as Wy’east to Native Americans, is Oregon’s tallest peak (3,427 m [11,241 ft]). The volcano has erupted episodically for the past 500,000 years, experiencing two major eruptive periods during the last 1,500 years (Scott and others, 1997a; Scott and others, 2003; Scott and Gardner, 2017). Cascade Range volcanism and structural development in the area dates back longer, with eruptive activity dating from latest Miocene to recent time; part of that volcano-tectonic record is detailed by new high-resolution geologic mapping presented here.

The geology of the Dog River–Badger Lake area was mapped by the Oregon Department of Geology and Mineral Industries (DOGAMI) between 2017 and 2020, in collaboration with geoscientists from the U. S. Geological Survey Cascade Volcano Observatory (USGS CVO) and Hamilton College, New York. The primary objective of this investigation is to provide an updated and spatially accurate geologic framework for the Dog River–Badger Lake area as part of a multi-year study of the geology of the larger Middle Columbia Basin (Figure 1-1, Figure 1-2). Additional key objectives of this project are to: 1) determine the geologic history of volcanic rocks in this part of the northern Oregon Cascade Range, including lava flows and volcaniclastic deposits erupted from Middle Pleistocene to Holocene Mount Hood volcano; 2) provide significant new details about the structure and fault history along the northern segment of the High Cascades intra-arc graben (Hood River graben); and 3) better understand geologic hazards in the region, related to earthquakes, volcanoes, and landslides. New detailed geologic data presented here also provides a basis for future geologic, geohydrologic, and geohazard studies in the greater Middle Columbia Basin. Detailed geologic mapping in this part of the Middle Columbia Basin is a high priority of the Oregon Geologic Map Advisory Committee (OGMAC), supported in part by grants from the STATEMAP component of the USGS National Cooperative Geologic Mapping Program (G17AC00210, G19AC00160). Additional funds were provided by the State of Oregon.

The core products of this study are this report, an accompanying geologic map and cross sections (Plate 1), an Esri ArcGIS™ geodatabase, and Microsoft Excel® spreadsheets tabulating point data for geochemistry, geochronology, magnetic polarity, orientation points, and well data. The geodatabase presents the new geologic mapping in a digital format consistent with the USGS National Cooperative Geologic Mapping Program Geologic Map Schema (GeMS) (U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020). This geodatabase contains spatial information, including geologic polygons, contacts, structures, geochemistry, geochronology, magnetic observation, orientation points, and well data, as well as data about each geologic unit such as age, lithology, mineralogy, and structure. Digitization at scales of 1:8,000 or better was accomplished using a combination of high-resolution lidar topography and imagery. Surficial and bedrock geologic units contained in the geodatabase are depicted on the Plate 1 at a scale of 1:24,000. Both the geodatabase and geologic map are supported by this report describing the geology in detail.

","language":"English","publisher":"Oregon Department of Geology and Mineral Industries","usgsCitation":"McClaughry, J.D., Scott, W., Duda, C.J., and Conrey, R.M., 2020, Geologic map of the Dog River and northern part of the Badger Lake 7.5′ quadrangles, Hood River County, Oregon: Geological Map 126, Report: 154 p.; 1 Plate 48 x 52 inches; Database; Metadata.","productDescription":"Report: 154 p.; 1 Plate 48 x 52 inches; Database; Metadata","ipdsId":"IP-126371","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":385093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383245,"type":{"id":15,"text":"Index Page"},"url":"https://www.oregongeology.org/pubs/gms/p-GMS-126.htm"}],"scale":"24000","country":"United States","state":"Oregon","county":"Hood River County","otherGeospatial":"Dog River and Northern Part of the Badger Lake 7.5' Quadrangles","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.87683105468749,\n 44.97839955494438\n ],\n [\n -120.5914306640625,\n 44.97839955494438\n ],\n [\n -120.5914306640625,\n 45.73494252455993\n ],\n [\n -121.87683105468749,\n 45.73494252455993\n ],\n [\n -121.87683105468749,\n 44.97839955494438\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McClaughry, Jason D.","contributorId":194544,"corporation":false,"usgs":false,"family":"McClaughry","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":810242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, William E. 0000-0001-8156-979X","orcid":"https://orcid.org/0000-0001-8156-979X","contributorId":250706,"corporation":false,"usgs":true,"family":"Scott","given":"William E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duda, Carlie J. M.","contributorId":250707,"corporation":false,"usgs":false,"family":"Duda","given":"Carlie","email":"","middleInitial":"J. M.","affiliations":[{"id":32397,"text":"Oregon Department of Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":810244,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrey, Richard M.","contributorId":194345,"corporation":false,"usgs":false,"family":"Conrey","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":13203,"text":"School of the Environment, Washington State University","active":true,"usgs":false}],"preferred":false,"id":810245,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70230002,"text":"70230002 - 2020 - Biology characterization breakout report","interactions":[],"lastModifiedDate":"2022-03-23T14:35:20.517308","indexId":"70230002","displayToPublicDate":"2020-12-31T09:31:17","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Biology characterization breakout report","docAbstract":"The primary goal of the biology characterization breakout group was to identify the strategies, tools, data priorities, and key partnerships needed to conduct baseline biological characterizations of deep-sea benthic environments across the U.S. EEZ in the Pacific. Discussions focused primarily on priorities for the\ncharacterization of deep-water (>200-meter depths) benthic biological communities; however, the group also emphasized that such characterizations need to be linked to efforts to characterize the overlying water column. The group was tasked with identifying how to prioritize exploration and characterization efforts, including how to identify priority geographic areas and specific methodologies needed to execute exploration activities. The expert community that provided input included representatives from various stakeholder groups actively working on deep-sea issues across the Pacific, including researchers and managers from government agencies, academic institutions, nongovernmental institutions, and the private sector. This report provides a summary of specific guidance identified as key for the successful exploration of deep-sea benthic habitats within the U.S. EEZ in the Pacific, as well as in adjacent international waters.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Report on the Workshop to Identify National Ocean Exploration Priorities in the Pacific","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Consortium for Ocean Leadership","usgsCitation":"Demopoulos, A., Wagner, D., Baco-Taylor, A., Itano, D., Amon, D., Cordes, E.E., Levin, L., Edwards, P.H., Kosaki, R., Pomponi, S., and Gittings, S., 2020, Biology characterization breakout report, in Report on the Workshop to Identify National Ocean Exploration Priorities in the Pacific, p. 22-27.","productDescription":"6 p.","startPage":"22","endPage":"27","ipdsId":"IP-123141","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":397460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397443,"type":{"id":15,"text":"Index Page"},"url":"https://oceanleadership.org/discovery/ocean-exploration-pacific-priorities-workshop/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Demopoulos, Amanda 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":221145,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":838616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Daniel","contributorId":289143,"corporation":false,"usgs":false,"family":"Wagner","given":"Daniel","affiliations":[{"id":16938,"text":"Conservation International","active":true,"usgs":false}],"preferred":false,"id":838617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baco-Taylor, Amy","contributorId":289145,"corporation":false,"usgs":false,"family":"Baco-Taylor","given":"Amy","email":"","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":838618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Itano, David","contributorId":289147,"corporation":false,"usgs":false,"family":"Itano","given":"David","email":"","affiliations":[{"id":62057,"text":"Western Pacific Fishery Management Council","active":true,"usgs":false}],"preferred":false,"id":838619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amon, Diva","contributorId":289148,"corporation":false,"usgs":false,"family":"Amon","given":"Diva","email":"","affiliations":[{"id":39858,"text":"Natural History Museum London","active":true,"usgs":false}],"preferred":false,"id":838620,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cordes, Erik E.","contributorId":37623,"corporation":false,"usgs":false,"family":"Cordes","given":"Erik","email":"","middleInitial":"E.","affiliations":[{"id":16710,"text":"Temple University, Department of Biology","active":true,"usgs":false}],"preferred":false,"id":838621,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Levin, Lisa","contributorId":289149,"corporation":false,"usgs":false,"family":"Levin","given":"Lisa","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":838622,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Edwards, Peter H.","contributorId":206598,"corporation":false,"usgs":false,"family":"Edwards","given":"Peter","email":"","middleInitial":"H.","affiliations":[{"id":35748,"text":"U. of Leicester","active":true,"usgs":false}],"preferred":false,"id":838623,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kosaki, Randall","contributorId":289151,"corporation":false,"usgs":false,"family":"Kosaki","given":"Randall","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":838624,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pomponi, Shirley","contributorId":289153,"corporation":false,"usgs":false,"family":"Pomponi","given":"Shirley","email":"","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":838625,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gittings, Steve","contributorId":289154,"corporation":false,"usgs":false,"family":"Gittings","given":"Steve","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":838626,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70240295,"text":"70240295 - 2020 - Evaluating and optimizing the use of logistic regression for tree mortality models in the First Order Fire Effects Model (FOFEM)","interactions":[],"lastModifiedDate":"2023-02-03T15:25:05.570097","indexId":"70240295","displayToPublicDate":"2020-12-31T09:24:33","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluating and optimizing the use of logistic regression for tree mortality models in the First Order Fire Effects Model (FOFEM)","docAbstract":"

Wildland fires burn millions of forested hectares annually around the world, affecting biodiversity, carbon storage, hydrologic processes, and ecosystem services largely through fire-induced tree mortality (Bond-Lamberty et al. 2007; Dantas et al. 2016). In spite of this widespread importance, the underlying mechanisms of fire-caused tree mortality remain poorly understood, (Hood et al. 2018). Post-fire tree mortality has been traditionally modeled as an empirical function of tree defenses (bark thickness) and fire injury (crown scorch, stem char) (Ryan and Amman 1996; Woolley et al. 2012). Empirical models are commonly used in fire management to predict fire effects (Reinhardt et al. 1997), from the finescale software tools for fire management planning, to process-based succession models (Keane et al. 2011), and global models of the terrestrial carbon cycle (Hantson et al. 2016). Nevertheless, many fire-caused tree mortality models have undergone little evaluation.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Fire Continuum-Preparing for the future of wildland fire","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"U.S. Forest Service","usgsCitation":"Cansler, C.A., Hood, S., Varner, J., and van Mantgem, P., 2020, Evaluating and optimizing the use of logistic regression for tree mortality models in the First Order Fire Effects Model (FOFEM), in Proceedings of the Fire Continuum-Preparing for the future of wildland fire, p. 239-246.","productDescription":"8 p.","startPage":"239","endPage":"246","ipdsId":"IP-106540","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":412676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":412660,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/research/treesearch/63223"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Hood, Sharon M.","contributorId":221183,"corporation":false,"usgs":false,"family":"Hood","given":"Sharon","email":"","middleInitial":"M.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":863362,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Drury, Stacy","contributorId":302054,"corporation":false,"usgs":false,"family":"Drury","given":"Stacy","email":"","affiliations":[],"preferred":false,"id":863363,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Steelman, Toddi A","contributorId":169893,"corporation":false,"usgs":false,"family":"Steelman","given":"Toddi","email":"","middleInitial":"A","affiliations":[{"id":18060,"text":"School of Environment and Sustainability, University of Saskatchewan, Canada","active":true,"usgs":false}],"preferred":false,"id":863364,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Steffens, Ron","contributorId":302055,"corporation":false,"usgs":false,"family":"Steffens","given":"Ron","email":"","affiliations":[],"preferred":false,"id":863365,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Cansler, C. Alina 0000-0002-2155-4438","orcid":"https://orcid.org/0000-0002-2155-4438","contributorId":225029,"corporation":false,"usgs":false,"family":"Cansler","given":"C.","email":"","middleInitial":"Alina","affiliations":[{"id":41022,"text":"Missoula Fire Science Lab","active":true,"usgs":false}],"preferred":false,"id":863286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hood, Sharon","contributorId":147091,"corporation":false,"usgs":false,"family":"Hood","given":"Sharon","affiliations":[{"id":16786,"text":"U of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":863287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Varner, J. Morgan","contributorId":265933,"corporation":false,"usgs":false,"family":"Varner","given":"J. Morgan","affiliations":[{"id":36874,"text":"Tall Timbers Research Station","active":true,"usgs":false}],"preferred":false,"id":863288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863289,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217610,"text":"70217610 - 2020 - America’s offshore critical mineral wealth","interactions":[],"lastModifiedDate":"2021-02-16T22:39:44.297129","indexId":"70217610","displayToPublicDate":"2020-12-31T09:12:22","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"America’s offshore critical mineral wealth","docAbstract":"

No abstract available.

","language":"English","publisher":"Bureau of Ocean Energy Management","usgsCitation":"Bureau of Ocean Energy Management, and United States Geological Survey, 2020, America’s offshore critical mineral wealth, 6 p.","productDescription":"6 p.","ipdsId":"IP-120943","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":383161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383160,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.boem.gov/sites/default/files/documents/marine-minerals/fact-sheets/Critical-Mineral-State.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bureau of Ocean Energy Management","contributorId":251708,"corporation":true,"usgs":false,"organization":"Bureau of Ocean Energy Management","id":810363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"United States Geological Survey","contributorId":128013,"corporation":true,"usgs":false,"organization":"United States Geological Survey","id":810360,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210826,"text":"70210826 - 2020 - Recent planform changes in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2021-11-03T14:42:36.620726","indexId":"70210826","displayToPublicDate":"2020-12-31T09:03:48","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5000,"text":"Long Term Resource Monitoring Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"LTRM-2019GC8","title":"Recent planform changes in the Upper Mississippi River","docAbstract":"Geomorphic changes in the Upper Mississippi River (UMR) have long been a concern of river agencies charged with maintaining and restoring river habitat (GREAT 1980; Jackson et al. 1981; USFWS 1992). Large meandering alluvial rivers like the UMR are expected to constantly change and adjust their fluvial landforms within their riparian corridors as a result of the natural interaction of hydrologic processes, sediment movement, and vegetation over time. However, present geomorphic changes in the UMR reflect altered hydrologic, hydraulic, and sediment conditions caused by regulated flows, constructed agricultural levees and navigation dams, altered land use in the watershed, and climate change. Levees reduce lateral hydrologic and sediment connectivity between channels and floodplains on many tributaries and on the Mississippi River downstream of Pool 13. Between each of the dams are a repeating series of landforms associated with tailwater, intermediate, and impounded conditions. The dams maintain a minimum water level, thus creating many off-channel areas that act as sediment traps. Whereas high-head dams cut off sedimentological connectivity longitudinally through the river corridor (Skalak et al., 2013), low head dams on the UMR only slightly altered transport longitudinally. Deltaic-like sedimentation can be common in the impounded sections of dammed rivers. Erosion of relict land surfaces that remained above the raised impounded water levels has been the dominant change in UMR impounded sections due to increased wind fetch leading to increased wave action. Even though upland sources of sediment from tributaries have decreased over the middle to late 20th century, increased annual precipitation, the interplay of increased variability in flood magnitudes from year to year, and more fall and winter flooding have likely changed erosion and sedimentation patterns in the UMR (Belby, et al., 2019). Paradoxically, monitoring and research indicates that the concentration of some water column constituents like total suspended solids and phosphorous has decreased during the 1991 to 2014 time period (Kreiling and Houser, 2016). In areas prone to increased sedimentation, bed elevations rise and thereby water depths are reduced at a given discharge, resulting in loss of fish habitat. Sediment deposition or erosion further influences water exchange rates between main channel and off-channel areas in the river by increasing resistance in connecting channels or enlarging existing connecting channels. Water depth and water exchange rates are the most prominent features describing habitat quality in the UMR (De Jager et al. 2018), and in some cases, the trajectory of planform change from heightened deposition promises to threaten deep backwater habitats particularly important for overwintering fish.\n\nAlthough information on the rate of vertical change in bed elevation is needed for a complete assessment of geomorphic change associated with the loss of deep backwater habitats, mapping planform changes over time (i.e., lateral changes between the land-water boundary) provide needed information on the location, potential cause, and progressive direction of deposition, especially in the mid sections between dams where deltaic processes are the most pronounced. Several types of planform changes have been observed and identified as concerns. For example, island loss in the large impounded areas of the upper part of the UMR was one of the concerns identified by river managers in the 1980s and 90s, and subsequently island construction became a common form of restoration implemented by the Upper Mississippi River Restoration (UMRR) Program (USACE 2012). Other subtler planform changes, such as channel bank erosion and delta formation in backwaters, are perceived to be important, but have largely gone unquantified. A systemwide reconnaissance of the UMR and IWW conducted in 1998 concluded that 14-percent of the river banks were eroding (Nakato and Anderson 1998). However, stabilization of existing river banks has never been widely pursued as a restoration measure, due to the high cost and uncertain benefits. Delta formation reduces the amount of backwater habitat; however, the deltas maintain and create a mix of riparian and aquatic habitats, and that is generally considered to be beneficial for wildlife and fish. If recent hydrologic trends of more frequent and longer duration flood events continue, a better understanding of planform changes can help in describing past changes, and then be used to forecast potential future trajectories of change. If UMR resource managers determine that past and forecasted conditions are undesirable, then UMRR projects could be identified and prioritized to address those concerns.\n\nVegetative cover associations with landform changes have been used to detect and quantify planform changes in many rivers (Johnson 1985; Hiatt 2015; Volte et al. 2015). Freyer and Jefferson (2013) completed such a study in Pool 6 of the UMR using the landcover data from 12 dates over a 115-yr period, including the 1989, 2000, and 2010/2011 landcover/use (LCU) data from the UMRR Program. Planform change detected over the last 20 years represented by the UMRR Program data best reflect present-day geomorphic patterns, rates and processes. Changes occurring prior to dam construction and changes occurring soon after dam construction are likely not the same as those happening now, 50-70 years after dam construction and creation of the impoundments (McHenry et al., 1984; Bhowmik and Adams, 1986; WEST Consultants, 2000). \n\nThe LCU data from each of the 1989, 2000, and 2010/2011 imagery was developed using similar methods and is available in a Geographical Information System (GIS) for the entire UMR and therefore provides the opportunity for a more comprehensive planform change analysis. This study used GIS overlays of LCU classes to map and quantify changes in planform features over two periods, looking specifically for depositional areas where terrestrial and wetland vegetation expanded at the expense of open water. The land expansion was grouped into four possible process-based types common in large floodplain rivers, some following that used by Lewin et al. (2017). The four types include: crevasse deltas emanating from a breach from a main channel through a natural levee or narrow floodplain into backwaters (crevasse deltas), tributary deltas expanding into backwaters (tributary deltas), deltaic bars at the upstream end of impoundments (impounded deltas), and linear-like bars extending from the downstream ends of narrow levees and remnant floodplains (bar-tail limbs). The methods deployed for change detection addressed possible errors from a variety of sources.","language":"English","publisher":"US Army Corps of Engineers, Upper Mississippi River Restoration (UMRR) Program","usgsCitation":"Rogala, J.T., Fitzpatrick, F., and Hendrickson, J.S., 2020, Recent planform changes in the Upper Mississippi River: Long Term Resource Monitoring Technical Report LTRM-2019GC8, 33 p.","productDescription":"33 p.","ipdsId":"IP-113610","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":391325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":391323,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://umesc.usgs.gov/documents/publications/2020/rogala_a_2020.html"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90,\n 38.58252615935333\n ],\n [\n -91.0546875,\n 40.07807142745009\n ],\n [\n -90,\n 41.86956082699455\n ],\n [\n -90.8349609375,\n 43.29320031385282\n ],\n [\n -91.2744140625,\n 44.465151013519616\n ],\n [\n -93.55957031249999,\n 46.01222384063236\n ],\n [\n -93.4716796875,\n 46.619261036171515\n ],\n [\n -95.1416015625,\n 46.46813299215554\n ],\n [\n -94.52636718749999,\n 45.24395342262324\n ],\n [\n -93.251953125,\n 44.55916341529182\n ],\n [\n -91.93359375,\n 43.866218006556394\n ],\n [\n -91.1865234375,\n 42.4234565179383\n ],\n [\n -90.791015625,\n 42.22851735620852\n ],\n [\n -91.14257812499999,\n 41.705728515237524\n ],\n [\n -91.669921875,\n 41.07935114946899\n ],\n [\n -91.97753906249999,\n 39.842286020743394\n ],\n [\n -91.318359375,\n 38.89103282648846\n ],\n [\n -90,\n 38.58252615935333\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rogala, James T. 0000-0002-1954-4097 jrogala@usgs.gov","orcid":"https://orcid.org/0000-0002-1954-4097","contributorId":2651,"corporation":false,"usgs":true,"family":"Rogala","given":"James","email":"jrogala@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":791606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209612,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hendrickson, Jon S.","contributorId":177520,"corporation":false,"usgs":false,"family":"Hendrickson","given":"Jon","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":791608,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215071,"text":"70215071 - 2020 - 2020 Four-band aerial imagery testing and acquisition for 2020 land cover/land use mission","interactions":[],"lastModifiedDate":"2021-11-03T13:58:46.733652","indexId":"70215071","displayToPublicDate":"2020-12-31T08:58:02","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5000,"text":"Long Term Resource Monitoring Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"LTRM-2018CAM4","title":"2020 Four-band aerial imagery testing and acquisition for 2020 land cover/land use mission","docAbstract":"The aerial camera testing project lays the groundwork for the collection of aerial imagery that will be used in the creation of the next iteration of systemic land cover/land use data for the Upper Mississippi River System. Prior to acquisition in the summer of 2020, the new 4-band aerial camera will be assessed for image quality at various resolutions and be compared to the camera used for the 2010/2011 collection. Systemic aerial imagery has been acquired, and vegetation datasets derived from that imagery, by the Upper Mississippi River Restoration Program’s Long Term Resource Monitoring element on a decadal basis beginning in 1989 and follow-up imagery missions in 2000 and 2010/2011. Remote sensing and geographic information system technology has changed dramatically during this time, transitioning from a workflow based on 9-inch by 9-inch aerial film-based cameras to today’s 80-megapixel four-band digital camera. In addition to the camera testing, this report also provides historical information of previous aerial imagery acquisition efforts and how that process has continued to advance in the 30 years since the Program’s genesis.","language":"English","publisher":"U.S. Army Corps of Engineers' Mississippi River Restoration Program","usgsCitation":"Robinson, L.R., 2020, 2020 Four-band aerial imagery testing and acquisition for 2020 land cover/land use mission: Long Term Resource Monitoring Technical Report LTRM-2018CAM4, 17 p.","productDescription":"17 p.","ipdsId":"IP-118904","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":391322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":391321,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://umesc.usgs.gov/documents/publications/2020/robinson_a_2020.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Larry R. 0000-0002-3049-6479 lrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-3049-6479","contributorId":3136,"corporation":false,"usgs":true,"family":"Robinson","given":"Larry","email":"lrobinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":800714,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70226640,"text":"70226640 - 2020 - Yellowstone River Compact Commission sixty-ninth annual report 2020","interactions":[],"lastModifiedDate":"2022-04-18T13:57:50.299897","indexId":"70226640","displayToPublicDate":"2020-12-31T08:51:05","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"Yellowstone River Compact Commission sixty-ninth annual report 2020","docAbstract":"

No abstract available.

","language":"English","publisher":"Yellowstone River Compact Commission","usgsCitation":"Davidson, S., 2020, Yellowstone River Compact Commission sixty-ninth annual report 2020: Cooperator Report, vi, 38 p.","productDescription":"vi, 38 p.","ipdsId":"IP-127113","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":398916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":398915,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/mission-areas/water-resources/science/yellowstone-river-compact-commission-annual-reports?qt-science_center_objects=0#qt-science_center_objects"}],"country":"United States","state":"Montana, North Dakota, Wyoming","otherGeospatial":"Yellowstone River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.6669921875,\n 48.03401915864286\n ],\n [\n -103.86474609375,\n 48.48748647988415\n ],\n [\n -104.56787109374999,\n 48.531157010976706\n ],\n [\n -106.9189453125,\n 47.15984001304432\n ],\n [\n -110.61035156249999,\n 46.63435070293566\n ],\n [\n -111.51123046875,\n 46.118941506107056\n ],\n [\n -111.15966796875,\n 45.1510532655634\n ],\n [\n -110.36865234374999,\n 44.19795903948531\n ],\n [\n -108.96240234375,\n 42.73087427928485\n ],\n [\n -107.75390625,\n 42.48830197960227\n ],\n [\n -106.45751953125,\n 43.16512263158296\n ],\n [\n -105.18310546875,\n 44.574817404670306\n ],\n [\n -103.6669921875,\n 48.03401915864286\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Davidson, Seth 0000-0002-9548-468X","orcid":"https://orcid.org/0000-0002-9548-468X","contributorId":218042,"corporation":false,"usgs":true,"family":"Davidson","given":"Seth","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827570,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70223185,"text":"70223185 - 2020 - Extension directions in the Colorado River extensional corridor compared to fragmentation of a structurally disrupted caldera in the Sacramento Mountains, southeastern California","interactions":[],"lastModifiedDate":"2021-08-17T13:50:12.175158","indexId":"70223185","displayToPublicDate":"2020-12-31T08:40:51","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Extension directions in the Colorado River extensional corridor compared to fragmentation of a structurally disrupted caldera in the Sacramento Mountains, southeastern California","docAbstract":"

The northwest trend of the southern Colorado River extensional corridor in the southwestern USA veers northward between 34° and 35° north latitude. The tilt axes of early Miocene west-tilted volcanic strata in the west-central Sacramento Mountains mirror this bend. Steeply dipping early Miocene strata and volcanics north and south of the bend indicate the strong respectively westward to southwestward tilt of detached fault blocks and probably of the detachment fault on which they are  superposed. These fault panels include fragments of the 18.8 Ma Peach Spring Tuff’s (PST) source caldera. The PST occurs in two major detached fault domains in the Sacramento Mountains where outflow facies ignimbrite grades southward into intracaldera facies. The facies transitions, interpreted as part of the PST’s source caldera’s northeastern margin, lie on a northeast extensional azimuth that would restore them to continuity with the Silver Creek caldera in the Black Mountains, AZ, 50 km to the northeast. This extensional vector agrees with some but not other indicators of extension azimuth such as fault striae, ductile lineations, tilt axes, and elongated plutons. The new results imply spatial variability of extension direction and raise questions about the how this variability may relate to the bend in the Colorado River extensional corridor.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Changing facies: Desert symposium 2020","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Desert symposium","usgsCitation":"Howard, K.A., and Ferguson, C.A., 2020, Extension directions in the Colorado River extensional corridor compared to fragmentation of a structurally disrupted caldera in the Sacramento Mountains, southeastern California, in Changing facies: Desert symposium 2020, p. 146-161.","productDescription":"16 p.","startPage":"146","endPage":"161","ipdsId":"IP-116687","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":387998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":387997,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertsymposium.org/History.html"}],"country":"United States","state":"Arizona, California","otherGeospatial":"Colorado River extensional corridor","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.00762939453125,\n 34.09588492955209\n ],\n [\n -113.85955810546875,\n 34.09588492955209\n ],\n [\n -113.85955810546875,\n 34.9895035675793\n ],\n [\n -115.00762939453125,\n 34.9895035675793\n ],\n [\n -115.00762939453125,\n 34.09588492955209\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Howard, Keith A. 0000-0002-0802-6462 khoward@usgs.gov","orcid":"https://orcid.org/0000-0002-0802-6462","contributorId":264301,"corporation":false,"usgs":true,"family":"Howard","given":"Keith","email":"khoward@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":821308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferguson, Charles A.","contributorId":264302,"corporation":false,"usgs":false,"family":"Ferguson","given":"Charles","email":"","middleInitial":"A.","affiliations":[{"id":34160,"text":"Arizona Geological Survey","active":true,"usgs":false}],"preferred":false,"id":821309,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70240818,"text":"70240818 - 2020 - He-CO2-N2 isotope and relative abundance characterization of geothermal fluids from the Ethiopian Rift","interactions":[],"lastModifiedDate":"2023-03-01T14:53:18.719283","indexId":"70240818","displayToPublicDate":"2020-12-31T08:36:37","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"He-CO2-N2 isotope and relative abundance characterization of geothermal fluids from the Ethiopian Rift","title":"He-CO2-N2 isotope and relative abundance characterization of geothermal fluids from the Ethiopian Rift","docAbstract":"

We report He-CO2-N2 isotopic and relative abundances in free gases and dissolved gas phase of geothermal fluids from the Ethiopian Rift. Fluid samples were collected from ~30 geothermal localities from three key regions throughout rifted and non-rifted areas of Ethiopia. The majority of samples, including off-rift samples, indicate a strong contribution of mantle-derived He-C-N to the fluid samples. Helium (3He/4He) and δ15N-(N2) isotope anomalies are highest (> 15.9RA and > +5.0‰, respectively) at a single locality in south Afar (Sodere), but the maximum δ13C-(CO2) (-0.78‰) is found east of Lake Shalla in the Lake District of the Main Ethiopian Rift. High 3He/4He values, consistent with mantle plume contributions, are also evident in fluids from the Lake District, where fluids from the Lake Shalla site extend up to 15.5RA. CO2/3He values span over four orders of magnitude while δ13C-(CO2) values cluster mostly between mantle-like values of -4 and -7‰; only samples east of Lake Shalla display more positive values. Atmospheric-derived nitrogen has likely influenced a number of measured δ15N-(N2) values but following a correction for atmospheric-contamination, the majority of samples reveal positive values (up to 6.5‰) which appear to be coupled to high 3He/4He values. In regions affected by upwelling mantle plumes, such high values have been interpreted to reflect deep mantle inputs of recycled nitrogen.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings World Geothermal Congress 2020+1","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"World Geothermal Congress 2020","conferenceLocation":"Reykjavik, Iceland","language":"English","usgsCitation":"Halldorsson, S.A., Scarsi, P., Abebe, T., Evans, T., Kulongoski, J.T., Castillo, P.R., and Barry, P., 2020, He-CO2-N2 isotope and relative abundance characterization of geothermal fluids from the Ethiopian Rift, in Proceedings World Geothermal Congress 2020+1, Reykjavik, Iceland, 6 p.","productDescription":"6 p.","ipdsId":"IP-112494","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":413534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":413533,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-energy.org/cpdb/record_detail.php?id=33392","linkFileType":{"id":5,"text":"html"}}],"country":"Ethiopia","otherGeospatial":"Ethiopian Rift","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 42,\n 10\n ],\n [\n 36,\n 10\n ],\n [\n 36,\n 6\n ],\n [\n 42,\n 6\n ],\n [\n 42,\n 10\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Halldorsson, S. A.","contributorId":302625,"corporation":false,"usgs":false,"family":"Halldorsson","given":"S.","email":"","middleInitial":"A.","affiliations":[{"id":65518,"text":"NordVulk, Institute of Earth Sciences, University of Iceland, Reykjavík, Iceland","active":true,"usgs":false}],"preferred":false,"id":864915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scarsi, P.","contributorId":302626,"corporation":false,"usgs":false,"family":"Scarsi","given":"P.","email":"","affiliations":[{"id":65519,"text":"Institute of Geosciences and Earth Resources, National Research Council of Italy, Pisa, Italy","active":true,"usgs":false}],"preferred":false,"id":864916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abebe, T.","contributorId":302627,"corporation":false,"usgs":false,"family":"Abebe","given":"T.","email":"","affiliations":[{"id":65519,"text":"Institute of Geosciences and Earth Resources, National Research Council of Italy, Pisa, Italy","active":true,"usgs":false}],"preferred":false,"id":864917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, T.","contributorId":302628,"corporation":false,"usgs":false,"family":"Evans","given":"T.","affiliations":[{"id":65520,"text":"Scripps Institution of Oceanography, UCSD, La Jolla, CA, USA","active":true,"usgs":false}],"preferred":false,"id":864918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":864919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Castillo, P. R.","contributorId":302629,"corporation":false,"usgs":false,"family":"Castillo","given":"P.","email":"","middleInitial":"R.","affiliations":[{"id":65520,"text":"Scripps Institution of Oceanography, UCSD, La Jolla, CA, USA","active":true,"usgs":false}],"preferred":false,"id":864920,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barry, P. H.","contributorId":302630,"corporation":false,"usgs":false,"family":"Barry","given":"P. H.","affiliations":[{"id":65521,"text":"Woods Hole Oceanographic Institution, Woods Hole, MA, USA","active":true,"usgs":false}],"preferred":false,"id":864921,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70236284,"text":"70236284 - 2020 - Landslide guide for residents of Puerto Rico","interactions":[],"lastModifiedDate":"2023-10-18T16:13:39.227868","indexId":"70236284","displayToPublicDate":"2020-12-31T08:32:30","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Landslide guide for residents of Puerto Rico","docAbstract":"

No abstract available.

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The middle Miocene Carlin sedimentary basin encompasses a large area between the Adobe Range to the east, the Piñon Range to the south, the southern Independence Mountains and Marys Mountain to the west, and Swales Mountain to the north. The town of Carlin is in the southern part of the basin. The geologic map includes detailed to more reconnaissance mapping of Cenozoic units in the main part of the basin, including different facies of the middle Miocene Humboldt Formation. The mapping was part of a broader study of the Miocene and younger paleogeographic evolution of the region. Earlier work obtained numerous 40Ar/39Ar and tephra correlation dates on sedimentary and volcanic units in the basin. The basin connected to the east into the Elko sedimentary basin and to the northwest and northeast into similar smaller basins between present-day mountain ranges. Early sediments, largely fluvial, began to accumulate in the lowlands between the surrounding ranges at about 16.5 Ma. The sediments were derived from Paleozoic sedimentary and middle Tertiary volcanic units in the nearby highlands, and flow patterns indicate a general southward flow towards present-day Pine Valley. The eruption of the Palisade Canyon–Marys Mountain rhyolite flows at the southwest end of the basin at 15.3 Ma blocked the southward flow, and a lake began to form in the basin. As the lake grew in extent, sedimentary units around the fringes of the lake included a mixture of inflowing fluvial sediments mixed with the pyroclastic-fall, ash-rich sediments deposited in the lake. The lake margin expanded, and stratigraphic sections record the progressive transition from fluvial to mixed fluvial and lacustrine, and finally to entirely lacustrine. The volcanic rock dam was breached at about 14.7 Ma, the lake drained, and fluvial sediments blanketed the entire basin for an unknown period of time after that. Sedimentation progressively buried existing highlands and bridged gaps between adjacent basins. For example, the Carlin and Elko basins connected across the southern Adobe Range.

Normal faulting produced numerous, mostly north- to north-northeast-striking faults that cut the sedimentary units and surrounding highlands largely after sedimentation ceased. The largest fault formed in the eastern third of the basin and tilted all of the sedimentary units in the western two-thirds of the basin, as well as the eastern part of Marys Mountain, to the east. Some offset took place during sedimentation. Many other normal faults of smaller extent and offset cut the sedimentary units.

The integration of streams draining the Elko and Carlin basins began after about 9.8 Ma. The streams, which together comprised the early stages of the Humboldt River, flowed regionally southwestward beyond the Carlin basin. As many as thirteen, downward-stepping strath terraces in the Carlin basin record the progressive downcutting into and removal of the middle Miocene sediments. Gravel deposits form a thin veneer on some of the higher terraces. Clasts in those gravel deposits, as well as the overall terrace pattern, indicate southward drainage towards the Humboldt River. The erosion gradually re-exposed the flanks of the surrounding highlands. A brief pause in downcutting allowed the formation of a small lake in the Hemphillian (late Miocene), represented by lacustrine units northwest of Carlin.

The sedimentary rocks of the Carlin basin conceal a large segment of the world-class, late Eocene Carlin gold trend, which extends from the southern Independence Mountains south into the Piñon Range. Sedimentation largely buried the Gold Quarry and Mike gold deposits in the northwestern part of the basin. Later faulting and erosion re-exposed the Gold Quarry deposit, but the Mike deposit remains buried. The basin’s sedimentary units conceal potential Paleozoic host rocks, and the sedimentary facies and post-sedimentation faults shown on the map may help guide interpretations of geophysical and other exploration data in the Carlin basin.

The current map publication was supported by the USGS National Cooperative Geologic Mapping Program under STATEMAP award number G19AC00383.

","language":"English","publisher":"Nevada Bureau of Mines and Geology","usgsCitation":"Wallace, A., 2020, Reconnaissance map of the Cenozoic geology in the Carlin basin area, Elko and Eureka counties, Nevada: Nevada Bureau of Mines and Geology Open File Report 2020-02, Report: 10 p.; 1 Plate: 35.00 x 30.00 inches.","productDescription":"Report: 10 p.; 1 Plate: 35.00 x 30.00 inches","ipdsId":"IP-125443","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":396696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":396686,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.nbmg.unr.edu/Cen-geol-Carlin-basin-p/of2020-02.htm"}],"scale":"50000","country":"United States","state":"Nevada","county":"Elko County, Eureka County","otherGeospatial":"Carlin basin area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.2,\n 40.625\n ],\n [\n -115.95,\n 40.625\n ],\n [\n -115.95,\n 40.925964939514294\n ],\n [\n -116.2,\n 40.925964939514294\n ],\n [\n -116.2,\n 40.625\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wallace, Alan R.","contributorId":287598,"corporation":false,"usgs":false,"family":"Wallace","given":"Alan R.","affiliations":[{"id":61619,"text":"USGS emeritus, not in Active Directory","active":true,"usgs":false}],"preferred":false,"id":836933,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70220323,"text":"70220323 - 2020 - Improving the positional and vertical accuracy of named summits above 13,000 ft in the United States","interactions":[],"lastModifiedDate":"2021-05-06T13:30:25.542612","indexId":"70220323","displayToPublicDate":"2020-12-31T08:22:33","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Improving the positional and vertical accuracy of named summits above 13,000 ft in the United States","docAbstract":"

The National Map (TNM) portal provides public access to U.S. Geological Survey (USGS) high-resolution topographic datasets, and maps from the Historical Topographic Map Collection (HTMC). Elevation values shown on HTMC maps were obtained from ground spot elevation measurements, as compared to today’s elevation measurements derived from more efficient methods, such as lidar, radar, or sonar. These spot elevations were collected either by levelling in the field or by photogrammetrists in the office, and are called mass points with post-spacings of two-arc seconds (arcsec), approximately 60 meters depending on latitude, in steep terrain and one-half arcsec, approximately 15 meters, in flat terrain (Federal Geographic Data Committee 1997). The vertical accuracy of spot elevations is ± 10 feet. Most spot elevations were used only in contour derivation to create a more spatially continuous representations of terrain, but some were also labelled on the maps to supply accurate elevations of culturally important features such as mountain peaks, gaps, and road junctions.

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