{"pageNumber":"24","pageRowStart":"575","pageSize":"25","recordCount":37001,"records":[{"id":70216870,"text":"ofr20201126 - 2020 - Structure contour and isopach maps of the Wolfcamp shale and Bone Spring Formation of the Delaware Basin, Permian Basin Province, New Mexico and Texas","interactions":[],"lastModifiedDate":"2020-12-11T20:41:33.50876","indexId":"ofr20201126","displayToPublicDate":"2020-12-11T11:35:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1126","displayTitle":"Structure Contour and Isopach Maps of the Wolfcamp Shale and Bone Spring Formation of the Delaware Basin, Permian Basin Province, New Mexico and Texas","title":"Structure contour and isopach maps of the Wolfcamp shale and Bone Spring Formation of the Delaware Basin, Permian Basin Province, New Mexico and Texas","docAbstract":"A series of structure contour and isopach maps for the Wolfcamp shale and the Bone Spring Formation of the Delaware Basin, Permian Basin Province, were generated in support of the U.S. Geological Survey 2018 assessment of undiscovered continuous oil and gas resources. The interpreted formation tops used to generate the maps are from the IHS Markit® PRODFit™ database, a commercial proprietary database. The maps in this report are reflective of the stratigraphic units on the IHS Markit type log from southeast Eddy County, New Mexico.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20201126","usgsCitation":"Gaswirth, S.B., 2020, Structure contour and isopach maps of the Wolfcamp shale and Bone Spring Formation of the Delaware Basin, Permian Basin Province, New Mexico and Texas: U.S. Geological Survey Open-File Report 2020–1126, 37 p., https://doi.org/ 10.3133/ ofr20201126.","productDescription":"v, 37 p.","onlineOnly":"Y","ipdsId":"IP-119726","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":381189,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1126/ofr20201126.pdf","text":"Report","size":"9.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1126"},{"id":381188,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1126/coverthb.jpg"}],"country":"United States","state":"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              -106.171875,\n              29.6880527498568\n            ],\n            [\n              -101.689453125,\n              29.6880527498568\n            ],\n            [\n              -101.689453125,\n              34.34343606848294\n            ],\n            [\n              -106.171875,\n              34.34343606848294\n            ],\n            [\n              -106.171875,\n              29.6880527498568\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://energy.usgs.gov/\" data-mce-href=\"http://energy.usgs.gov/\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geologic Background</li><li>Method Used to Generate Contour Maps</li><li>References Cited</li><li>Figures</li></ul>","publishedDate":"2020-12-11","noUsgsAuthors":false,"publicationDate":"2020-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Gaswirth, Stephanie B. 0000-0001-5821-6347 sgaswirth@usgs.gov","orcid":"https://orcid.org/0000-0001-5821-6347","contributorId":150417,"corporation":false,"usgs":true,"family":"Gaswirth","given":"Stephanie","email":"sgaswirth@usgs.gov","middleInitial":"B.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":806662,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70216869,"text":"ofr20201117 - 2020 - Environmental data associated with sites infected with white-nose syndrome (WNS) before October 2011 in North America","interactions":[],"lastModifiedDate":"2020-12-14T17:12:04.819056","indexId":"ofr20201117","displayToPublicDate":"2020-12-10T16:30:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1117","displayTitle":"Environmental Data Associated With Sites Infected With White-Nose Syndrome (WNS) Before October 2011 in North America","title":"Environmental data associated with sites infected with white-nose syndrome (WNS) before October 2011 in North America","docAbstract":"<p>White-nose syndrome (WNS) is an emerging infectious disease of hibernating bats caused by a fungus previously known as <i>Geomyces destructans</i> and reclassified as <i>Pseudogymnoascus destructans</i>. The disease was first documented in 2006 in New York, has since spread across much of eastern North America, and as of January 2012, had caused the death of at least 5.7 to 6.7 million bats. Previous studies have suggested that environmental conditions play a strong role in WNS mortality. However, to predict where and when the disease will spread to new sites is difficult because detailed site information and associated environmental data are notably sparse. This paper presents a chronology of where and when WNS was detected in North America before October 2011 and indicates who reported the infections. This paper also presents available data on WNS-infected site elevation, geology, sediment chemistry and biota, air temperature, and relative humidity.</p><p>By the end of September 2011, at least 241 known WNS-infected sites were in North America and the number of infected sites per winter season had increased each year since 2006. The progressive increase in the number of infected sites per winter season suggests that the number of WNS infections had not peaked as of the 2010–11 winter season. WNS-infected sites include caves and mines, but the sites are not restricted by elevation, lithology, or strata age. Available data on site sediment chemistry are sparse but present a wide range of values, suggesting that caves and mines may contain a great range of microenvironments that are still poorly understood. The distribution of WNS may be restricted by air temperature and relative humidity. Published air temperature values from WNS-infected sites range from −15 to 33 degrees Celsius (but most temperature values are less than 20 degrees Celsius), and relative humidity values range from 50 to 100 percent. The spread of WNS may be restricted by a cave or mine temperature threshold of 20 degrees Celsius (which is likely to be south of most of the continental United States) and by some yet to be determined threshold of low relative humidity. These results indicate that WNS may not spread south into Mexico or to Puerto Rico.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201117","usgsCitation":"Swezey, C.S., and Garrity, C.P., 2020, Environmental data associated with sites infected with white-nose syndrome (WNS) before October 2011 in North America: U.S. Geological Survey Open-File Report 2020–1117, 67 p., https://doi.org/10.3133/ofr20201117.","productDescription":"x, 67 p.","numberOfPages":"67","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-117667","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":381184,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1117/coverthb.jpg"},{"id":381185,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1117/ofr20201117.pdf","text":"Report","size":"19.5 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Sites</li><li>Discussion</li><li>Summary</li><li>Acknowledgments</li><li>References</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-12-10","noUsgsAuthors":false,"publicationDate":"2020-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Swezey, Christopher S. 0000-0003-4019-9264 cswezey@usgs.gov","orcid":"https://orcid.org/0000-0003-4019-9264","contributorId":173033,"corporation":false,"usgs":true,"family":"Swezey","given":"Christopher","email":"cswezey@usgs.gov","middleInitial":"S.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":806660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrity, Christopher P. 0000-0002-5565-1818 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,{"id":70216742,"text":"ofr20201120 - 2020 - Groundwater quality and groundwater levels in Dougherty County, Georgia, April 2019 through March 2020","interactions":[],"lastModifiedDate":"2020-12-11T13:42:49.891919","indexId":"ofr20201120","displayToPublicDate":"2020-12-10T14:45:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1120","displayTitle":"Groundwater Quality and Groundwater Levels in Dougherty County, Georgia, April 2019 Through March 2020","title":"Groundwater quality and groundwater levels in Dougherty County, Georgia, April 2019 through March 2020","docAbstract":"<p>The Upper Floridan aquifer is the uppermost, reliable aquifer in southwest Georgia. The aquifer lies on top of the Claiborne, Clayton, and Cretaceous aquifers, all of which exhibited water level declines in the 1960s and 1970s. The U.S. Geological Survey has been working cooperatively with Albany Utilities to monitor groundwater quality and availability in these aquifers since 1977.</p><p>During January 2020, nine wells were sampled—six for anions, metals, and nitrate plus nitrite as nitrogen, and three for anions, metals, and pesticides. Nitrate plus nitrite as nitrogen concentrations ranged from 2.4 milligrams per liter (mg/L) to 10.4 mg/L, and no pesticides were detected. Nitrate plus nitrite as nitrogen concentrations in well 12L277, open to the Upper Floridan aquifer, have been above the U.S. Environmental Protection Agency Maximum Contaminant Level of 10 mg/L for nitrates in drinking water since 2014.</p><p>Flow direction in the Upper Floridan aquifer is to the south and toward the Flint River. Water levels varied during the past year above and below period of record median values. Water levels in the Upper Floridan aquifer were primarily above median levels. Water levels in the Claiborne aquifer were above median levels, whereas water levels in the Clayton and Cretaceous aquifers were below median levels.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201120","collaboration":"Prepared in cooperation with Albany Utilities","usgsCitation":"Gordon, D.W., 2020, Groundwater quality and groundwater levels in Dougherty County, Georgia, April 2019 through March 2020: U.S. Geological Survey Open-File Report 2020–1120, 12 p., https://doi.org/10.3133/ofr20201120.","productDescription":"vi, 12 p.","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-118275","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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<a href=\"https://www.usgs.gov/centers/sa-water\" data-mce-href=\"https://www.usgs.gov/centers/sa-water\">South Atlantic Water Science Center</a><br>U.S. Geological Survey<br>1770 Corporate Drive, Suite 500<br>Norcross, GA 30093</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Groundwater Quality</li><li>Groundwater Levels</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-12-10","noUsgsAuthors":false,"publicationDate":"2020-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Gordon, Debbie W. 0000-0002-5195-6657 dwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-5195-6657","contributorId":194128,"corporation":false,"usgs":true,"family":"Gordon","given":"Debbie W.","email":"dwarner@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science 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,{"id":70216763,"text":"ofr20201127 - 2020 - Investigation of U.S. Foreign Reliance on Critical Minerals—U.S. Geological Survey technical input document in response to Executive Order No. 13953 Signed September 30, 2020","interactions":[],"lastModifiedDate":"2020-12-08T13:26:09.759958","indexId":"ofr20201127","displayToPublicDate":"2020-12-07T14:58:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1127","displayTitle":"Investigation of U.S. Foreign Reliance on Critical Minerals—U.S. Geological Survey Technical Input Document in Response to Executive Order No. 13953 Signed September 30, 2020","title":"Investigation of U.S. Foreign Reliance on Critical Minerals—U.S. Geological Survey technical input document in response to Executive Order No. 13953 Signed September 30, 2020","docAbstract":"<p>Over the past few decades (1990–2019), the United States has become reliant on foreign sources to meet domestic demand for a large and growing number of mineral commodities. In combination with recent trends towards progressively concentrated supply of mineral commodities from a limited number of countries, this heightened import reliance may increase the risk to the United States economy and national security. Several factors obscure the true net import reliance of mineral commodities essential to the United States, including indirect trade reliance, embedded trade reliance, and foreign ownership. This report provides a detailed overview of contributions to and trends of these mineral commodity supply risks and provides an outline of the salient factors pertaining to each mineral commodity’s supply chain. It also describes some additional considerations and provides a general framework for evaluating different strategies aimed at reducing net import reliance and supply risk.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201127","usgsCitation":"Nassar, N.T., Alonso, E., and Brainard, J.L., 2020, Investigation of U.S. Foreign Reliance on Critical Minerals—U.S. Geological Survey Technical Input Document in Response to Executive Order No. 13953 Signed September 30, 2020 (Ver. 1.1, December 7, 2020): U.S. Geological Survey Open-File Report 2020–1127, 37 p., https://doi.org/10.3133/ofr20201127.","productDescription":"vii, 37 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-123693","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":381043,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1127/ofr20201127.pdf","text":"Report","size":"4.71 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1127"},{"id":381064,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2020/1127/versionHist.txt","size":"1.4 KB","linkFileType":{"id":2,"text":"txt"}},{"id":381023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1127/coverthb3.jpg"}],"edition":"Version 1.0: December 4, 2020; Version 1.1: December 7, 2020","contact":"<p><a href=\"https://www.usgs.gov/centers/nmic\" data-mce-href=\"https://www.usgs.gov/centers/nmic\">National Minerals Information Center</a><br>U.S. Geological Survey<br>988 National Center<br>12201 Sunrise Valley Drive<br>Reston, VA 20191</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Statement of Issue</li><li>Introduction</li><li>U.S. Mineral Commodity Net Import Reliance</li><li>Additional Risk Considerations</li><li>Strategies for Reducing Net Import Reliance</li><li>Mineral Commodity Overview</li><li>Mineral Commodity Overview</li><li>References Cited</li><li>Appendix 1. Mineral Commodity Narratives</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-12-04","revisedDate":"2020-12-07","noUsgsAuthors":false,"publicationDate":"2020-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":806124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alonso, Elisa 0000-0002-0090-8284","orcid":"https://orcid.org/0000-0002-0090-8284","contributorId":223015,"corporation":false,"usgs":true,"family":"Alonso","given":"Elisa","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":806125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brainard, Jamie L. 0000-0002-1712-0821","orcid":"https://orcid.org/0000-0002-1712-0821","contributorId":201465,"corporation":false,"usgs":true,"family":"Brainard","given":"Jamie","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":806126,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216728,"text":"ofr20201130 - 2020 - Western purple martin (Progne subis arboricola) occurrence on the Siuslaw National Forest, Summer 2019","interactions":[],"lastModifiedDate":"2020-12-04T19:22:28.721479","indexId":"ofr20201130","displayToPublicDate":"2020-12-03T14:34:12","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1130","displayTitle":"Western Purple Martin (<em>Progne subis arboricola</em>) Occurrence on the Siuslaw National Forest, Summer 2019","title":"Western purple martin (Progne subis arboricola) occurrence on the Siuslaw National Forest, Summer 2019","docAbstract":"<p>The western subspecies of the purple martin (<i>Progne subis arboricola</i>) is currently listed as a “critically” sensitive species in four ecoregions of western Oregon: Coast Range, Klamath Mountains, West Cascades, and Willamette Valley (Oregon Department of Fish and Wildlife, 2019). Importantly distinct from the abundant and widespread eastern subspecies (<i>Progne subis subis</i>), the western subspecies is of particular concern to Federal forest managers. Whereas the eastern subspecies is almost entirely dependent on artificial human-provided housing, the western subspecies continues to rely on natural cavities for nesting habitat (Bettinger, 2003). Accurate estimates of the regional abundance of the western purple martin are difficult to obtain; the most recent statewide census for Oregon, conducted in 2005, estimated the population at 1,100 pairs (Western Purple Martin Working Group, 2010). Several factors, including a small population size, loss of breeding habitat, and reductions in the number of suitable nesting sites have put populations of the western purple martin at risk throughout much of the Pacific Northwest region (Rockwell, 2019).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201130","usgsCitation":"Hagar, J.C., and Branch, E.C., 2020, Western purple martin (<em>Progne subis arboricola</em>) occurrence on the Siuslaw National Forest, summer 2019: U.S. Geological Survey Open-File Report 2020-1130, 25 p., https://doi.org/10.3133/ofr20201130.","productDescription":"iv, 25 p.","onlineOnly":"Y","ipdsId":"IP-117452","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":380937,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1130/coverthb.jpg"},{"id":380938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1130/ofr20201130.pdf","text":"Report","size":"18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1130"}],"country":"United States","state":"Oregon","otherGeospatial":"Siuslaw National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.14001464843749,\n              43.691707903073805\n            ],\n            [\n              -123.42041015624999,\n              43.691707903073805\n            ],\n            [\n              -123.42041015624999,\n              44.66865287227321\n            ],\n            [\n              -124.14001464843749,\n              44.66865287227321\n            ],\n            [\n              -124.14001464843749,\n              43.691707903073805\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/or-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/or-water\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Background</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li><li>Appendix A</li></ul>","publishedDate":"2020-12-03","noUsgsAuthors":false,"publicationDate":"2020-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Hagar, Joan 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":3369,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":805997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Branch, Eric 0000-0003-1645-6849","orcid":"https://orcid.org/0000-0003-1645-6849","contributorId":245350,"corporation":false,"usgs":false,"family":"Branch","given":"Eric","email":"","affiliations":[],"preferred":false,"id":805998,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70212714,"text":"ofr20201095 - 2020 - Compilation of mercury data and associated risk to human and ecosystem health, Bad River Band of Lake Superior Chippewa, Wisconsin","interactions":[],"lastModifiedDate":"2020-12-03T21:41:11.602515","indexId":"ofr20201095","displayToPublicDate":"2020-12-03T08:05:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1095","displayTitle":"Compilation of Mercury Data and Associated Risk to Human and Ecosystem Health, Bad River Band of Lake Superior Chippewa, Wisconsin","title":"Compilation of mercury data and associated risk to human and ecosystem health, Bad River Band of Lake Superior Chippewa, Wisconsin","docAbstract":"<p>Mercury is an environmentally ubiquitous neurotoxin, and its methylated form presents health risks to humans and other biota, primarily through dietary intake. Because methylmercury bioaccumulates and biomagnifies in living tissue, concentrations progressively increase at higher trophic positions in ecosystem food webs. Therefore, the greatest health risks are for organisms at the highest trophic positions and for humans who consume organisms such as fish from these high trophic positions. Data on environmental mercury concentrations in various media and biota provide a basis for comparison among sites and regions and for evaluating ecosystem health risks. The U.S. Geological Survey, in cooperation with the Natural Resources Department, Bad River Band of Lake Superior Chippewa, have compiled a dataset from analyses of mercury concentrations in surface water, bed sediment, fish tissue, <i>Rana clamitans</i> (green frog) tissue, <i>Haliaeetus leucocephalus</i> (bald eagle) feathers, <i>Lontra canadensis</i> (North American river otter) hair, <i>Zizania palustris</i> (northern wild rice), and litterfall from samples collected in the Bad River watershed, Wisconsin during 2004–18. These data originated from either the Natural Resources Department or another agency based on samples collected within or near to Bad River Tribal lands before transfer to the U.S. Geological Survey for compilation and analysis at the onset of the project. This report describes the compiled mercury dataset, provides comparisons to similar measurements in the region and elsewhere, and evaluates health risks to humans and to the sampled biota. Except for litterfall, data were not collected on a consistent, regular basis over a sufficient period to evaluate temporal patterns. The reported mercury concentrations are generally similar to those reported elsewhere in the upper Great Lakes region. Reported values are consistent with atmospheric deposition as the principal source and reflect a favorable environment for mercury methylation. Fish mercury concentrations increased at higher food web positions and generally increased with length in most species measured. <i>Sander vitreus</i> (walleye) present the greatest risk to humans among fishes considered here because of their high trophic position and associated elevated mercury concentrations in combination with relatively high walleye consumption rates by the Native American community. Methylmercury concentrations in wild rice are generally low and likely pose little health risk. Despite reports of declining atmospheric mercury deposition across eastern North America during the past decade, a downward trend in litterfall mercury deposition was not evident in samples collected during 2012–18. Limitations in this data compilation and analysis were noted due to missing information such as collection dates and site locations for some samples. Regular monitoring of mercury in litterfall and surface waters along with periodic collection of fish would enable evaluation of temporal change in the mercury cycle that might affect future risk to humans and aquatic ecosystem inhabitants.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201095","collaboration":"Prepared in cooperation with the Natural Resources Department, Bad River Band of Lake Superior Chippewa","usgsCitation":"Burns, D.A., 2020, Compilation of mercury data and associated risk to human and ecosystem health, Bad River Band of Lake Superior Chippewa, Wisconsin (ver 1.1, December 2020): U.S. Geological Survey Open-File Report 2020–1095, 19 p., https://doi.org/10.3133/ofr20201095.","productDescription":"Report: vii, 19 p.; Database; Data Release","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-110861","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":377882,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkFileType":{"id":5,"text":"html"},"linkHelpText":"- USGS water data for the Nation"},{"id":377880,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1095/ofr20201095.pdf","text":"Report","size":"1.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1095"},{"id":377879,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1095/coverthb2.jpg"},{"id":377881,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HRS2C3","text":"USGS data release","linkFileType":{"id":5,"text":"html"},"linkHelpText":"Mercury data from the Bad River Watershed, Wisconsin, 2004–2018"},{"id":380931,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2020/1095/versionHist.txt","size":"448 B","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"Wisconsin","otherGeospatial":"Bad River Tribal Lands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.48751831054686,\n              46.54658317951774\n            ],\n            [\n              -90.4779052734375,\n              46.57868671298067\n            ],\n            [\n              -90.51223754882812,\n              46.599449464868584\n            ],\n            [\n              -90.59600830078125,\n              46.63057868059483\n            ],\n            [\n              -90.69488525390625,\n              46.69184147024343\n            ],\n            [\n              -90.78140258789062,\n              46.71632714994794\n            ],\n            [\n              -90.7855224609375,\n              46.66734468444288\n            ],\n            [\n              -90.83221435546875,\n              46.62020426357956\n            ],\n            [\n              -90.8294677734375,\n              46.57774276255591\n            ],\n            [\n              -90.83770751953125,\n              46.39619977845332\n            ],\n            [\n              -90.55343627929688,\n              46.409457767475764\n            ],\n            [\n              -90.54931640625,\n              46.54280504427768\n            ],\n            [\n              -90.48751831054686,\n              46.54658317951774\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: August 2020; Version 1.1: December 2020","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Data Summary and Analysis of Risk</li><li>Data Gaps and Future Considerations</li><li>Summary</li><li>References Cited</li><li>Glossary</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-08-28","revisedDate":"2020-12-03","noUsgsAuthors":false,"publicationDate":"2020-08-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797325,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70216478,"text":"ofr20201109 - 2020 - Considerations for incorporating quality control into water quality sampling strategies for the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2020-12-03T00:49:00.97253","indexId":"ofr20201109","displayToPublicDate":"2020-12-02T12:25:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1109","displayTitle":"Considerations for Incorporating Quality Control Into Water Quality Sampling Strategies for the U.S. Geological Survey","title":"Considerations for incorporating quality control into water quality sampling strategies for the U.S. Geological Survey","docAbstract":"<p>This report describes considerations for incorporating routine quality-assessment and quality-control evaluations into U.S. Geological Survey discrete water-sampling programs and projects. U.S. Geological Survey water-data science in 2020 is characterized by robustness, external reproducibility, collaborative large-volume data analysis, and efficient delivery of water-quality data. Confidence in data, or robustness, can be increased by supplementing traditional field-based quality-control data with laboratory quality control (QC) data, such as third-party blind spikes and blind blanks, laboratory blanks, and laboratory-reagent spikes. Laboratory quality-control data can provide additional information about bias and variability, method performance, and false-positive and false-negative rates that are not available from field QC data alone. Reproducibility is supported by means of standardizing metadata and documentation. Collaborative analysis brings together disparate elements of various types of quality-control review and communicates persistent data quality issues for compounds to data users internal and external to the U.S. Geological Survey. Efficient delivery of water-quality data is achieved when quality-control review is accomplished in the same expedited (near real-time) time frame as distribution of environmental results to the public and might be improved with consideration given to data versioning or to a system of alerting data users to data interpretation that might differ from originally published data.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201109","usgsCitation":"Medalie, L., 2020, Considerations for incorporating quality control into water quality sampling strategies for the U.S. Geological Survey: U.S. Geological Survey Open-File Report 2020–1109, 5 p., https://doi.org/10.3133/ofr20201109.","productDescription":"iii, 5 p.","numberOfPages":"5","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-120022","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":380650,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1109/coverthb.jpg"},{"id":380651,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1109/ofr20201109.pdf","text":"Report","size":"935 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1109"}],"contact":"<p><a href=\"mailto:dc_ nweng@usgs.gov\" data-mce-href=\"mailto:dc_ nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Considerations for Incorporating QA/QC Into Discrete Water-Quality Sampling at the U.S. Geological Survey</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-12-02","noUsgsAuthors":false,"publicationDate":"2020-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805372,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70216479,"text":"ofr20201116 - 2020 - Multiple-well monitoring site adjacent to the North and South Belridge Oil Fields, Kern County, California","interactions":[],"lastModifiedDate":"2020-11-25T12:52:01.362381","indexId":"ofr20201116","displayToPublicDate":"2020-11-24T12:43:43","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1116","displayTitle":"Multiple-Well Monitoring Site Adjacent to the North and South Belridge Oil Fields, Kern County, California","title":"Multiple-well monitoring site adjacent to the North and South Belridge Oil Fields, Kern County, California","docAbstract":"<p><span>The U.S. Geological Survey (USGS), in cooperation with the California State Water Resources Control Board, is evaluating several questions about oil and gas development and groundwater resources in California, including (1) the location of groundwater resources; (2) the proximity of oil and gas operations to groundwater and the geologic materials between them; (3) evidence (or no evidence) of fluids from oil and gas sources in groundwater; and (4) the pathways or processes responsible when fluids from oil and gas sources are present in groundwater (U.S. Geological Survey, 2017). As part of this evaluation, the USGS installed a multiple-well monitoring site in the southern San Joaquin Valley groundwater basin adjacent to the North and South Belridge oil fields, about 7 miles southwest of Lost Hills, California. Data collected at the Belridge multiple-well monitoring site (BWSD) provide information about the geology, hydrology, geophysical properties, and geochemistry of the aquifer system, thus enhancing understanding of relations between adjacent groundwater and the North and South Belridge oil fields in an area where there are few groundwater data. This report presents construction information for the BWSD and initial hydrogeologic data collected from the site. A similar site installed to the east of the Lost Hills oil field, 11.5 miles to the north of the BWSD site, was described by Everett and others (2020a).</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201116","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Everett, R.R., Brown, A.A., Gillespie, J.M., Kjos, A., and Fenton, N.C., 2020, Multiple-well monitoring site adjacent to the North and South Belridge Oil Fields, Kern County, California: U.S. Geological Survey Open-File Report 2020-1116, 10 p., https://doi.org/10.3133/ofr20201116.","productDescription":"Report: 10 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-112077","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":380658,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1116/ofr20201116.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1116"},{"id":380659,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96WITX5","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Aquifer test data for the Belridge multiple-well monitoring site (BWSD), Kern County, California"},{"id":380657,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1116/coverthb.jpg"}],"country":"United States","state":"California","county":"Kern 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href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>, <a href=\"https://ca.water.usgs.gov \" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br>U.S. Geological Survey<br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Study Area</li><li>Drilling and Well Installation</li><li>Sediment Analysis</li><li>Hydrology</li><li>Geochemistry</li><li>Accessing Data</li><li>References Cited</li></ul>","publishedDate":"2020-11-24","noUsgsAuthors":false,"publicationDate":"2020-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Everett, Rhett R. 0000-0001-7983-6270 reverett@usgs.gov","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":843,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett R.","email":"reverett@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":805373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Anthony A. 0000-0001-9925-0197 anbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-9925-0197","contributorId":5125,"corporation":false,"usgs":true,"family":"Brown","given":"Anthony","email":"anbrown@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":203915,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":805375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kjos, Adam 0000-0002-2722-3306 adamkjos@usgs.gov","orcid":"https://orcid.org/0000-0002-2722-3306","contributorId":4130,"corporation":false,"usgs":true,"family":"Kjos","given":"Adam","email":"adamkjos@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fenton, Nicole C. 0000-0002-8220-7181","orcid":"https://orcid.org/0000-0002-8220-7181","contributorId":245122,"corporation":false,"usgs":false,"family":"Fenton","given":"Nicole C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":805377,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216405,"text":"ofr20201123 - 2020 - Field comparison of five in situ turbidity sensors","interactions":[],"lastModifiedDate":"2020-11-19T15:03:44.391711","indexId":"ofr20201123","displayToPublicDate":"2020-11-17T10:45:04","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1123","displayTitle":"Field Comparison of Five In Situ Turbidity Sensors","title":"Field comparison of five in situ turbidity sensors","docAbstract":"<p>Five commercially available turbidity sensors were field tested by the U.S. Geological Survey Hydrologic Instrumentation Facility for accuracy and data comparability. The tested sensors were the Xylem EXO (EXO), the Hach Solitax sc (Solitax), the In Situ Aqua TROLL sensor installed onto a TROLL 600 sonde (TROLL 600), the Campbell Scientific OBS501 (OBS501), and the Observator ANALITE NEP–5000 (NEP–5000). The sensors were deployed at Pearl River at National Space Technology Laboratories Station, Mississippi (U.S. Geological Survey site 02492620), and were serviced weekly. In addition to the five in situ turbidity sensors, corresponding discrete samples were collected and analyzed during the evaluation on a calibrated Hach 2100N benchtop turbidimeter. The OBS501 malfunctioned early in the evaluation and eventually failed, resulting in few data from the sensor.</p><p>During this study, the four remaining sensors (minus the OBS501) changed similarly throughout the field test; however, sensor data from the EXO consistently demonstrated lower results than the Solitax, TROLL 600, and NEP–5000, possibly because of the variation in raw signal processing among manufacturers. Results from a single factor analysis of variance test and a Tukey Honestly Significant Difference test verified the low bias observed in the EXO data and indicated there was a significant difference between the EXO data and data from the Solitax, TROLL 600, and NEP–5000 but an insignificant difference among the data when the Solitax, TROLL 600, and NEP–5000 were compared to each other.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201123","usgsCitation":"Snazelle, T.T., 2020, Field comparison of five in situ turbidity sensors: U.S. Geological Survey Open-File Report 2020–1123, 15 p., https://doi.org/10.3133/ofr20201123.","productDescription":"Report: iv, 15 p.; Data Release; Dataset","numberOfPages":"24","onlineOnly":"Y","ipdsId":"IP-103944","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":380549,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1123/ofr20201123.pdf","text":"Report","size":"3.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1123"},{"id":380548,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1123/coverthb.jpg"},{"id":380550,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KDERG6","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Turbidity data collected by five in situ sensors at USGS site 02492620 Pearl River at NSTL station, Mississippi, from November 2017 to January 2018"},{"id":380551,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"}],"country":"United States","state":"Mississippi","otherGeospatial":"National Space Technology Laboratories Station","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.0274658203125,\n              30.211608223816906\n            ],\n            [\n              -89.28314208984375,\n              30.211608223816906\n            ],\n            [\n              -89.28314208984375,\n              30.41078179084589\n            ],\n            [\n              -90.0274658203125,\n              30.41078179084589\n            ],\n            [\n              -90.0274658203125,\n              30.211608223816906\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>U.S. Geological Survey<br> <a data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources\" href=\"https://www.usgs.gov/mission-areas/water-resources\">Water Mission Area</a> <br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Standards and Methods</li><li>Description of Tested Sensors</li><li>Field Deployment at U.S. Geological Survey Site 02492620 Pearl River at National Space Technology Laboratories Station</li><li>Test Results</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-11-17","noUsgsAuthors":false,"publicationDate":"2020-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Snazelle, Teri T. 0000-0001-9205-3107 tsnazelle@usgs.gov","orcid":"https://orcid.org/0000-0001-9205-3107","contributorId":147328,"corporation":false,"usgs":true,"family":"Snazelle","given":"Teri","email":"tsnazelle@usgs.gov","middleInitial":"T.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":804933,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70216349,"text":"ofr20201094 - 2020 - Measured and calculated nitrate and dissolved organic carbon concentrations and loads at the W.P. Franklin Lock and Dam, S-79, south Florida, 2014-17","interactions":[],"lastModifiedDate":"2020-11-17T23:20:23.252871","indexId":"ofr20201094","displayToPublicDate":"2020-11-17T08:05:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1094","displayTitle":"Measured and Calculated Nitrate and Dissolved Organic Carbon Concentrations and Loads at the W.P. Franklin Lock and Dam, S-79, South Florida, 2014–17","title":"Measured and calculated nitrate and dissolved organic carbon concentrations and loads at the W.P. Franklin Lock and Dam, S-79, south Florida, 2014-17","docAbstract":"<p>The U.S. Geological Survey monitored dissolved nitrate plus nitrite as nitrogen (N) and dissolved organic carbon (DOC) concentrations and calculated loads of these constituents at the W.P. Franklin Lock and Dam (S-79) from April 2014 to December 2017. Flows from Lake Okeechobee controlled by S-77, S-78 and S-79 affect water quality in the downstream Caloosahatchee River Estuary, where increased nutrients and dissolved organic matter are of concern. Numerous algal blooms have occurred in the Caloosahatchee River and downstream estuaries in recent years (2005–18) and are often attributed to eutrophication. Dissolved nitrate plus nitrite as N (hereafter, referred to as nitrate) data were collected at 15-minute intervals using a submersible ultraviolet optical nitrate sensor. The instrument data were corrected for interferences, as determined by the relation between instrument measurements and 20 concurrent laboratory values. A surrogate model, based on 36 concurrent measurements of DOC, fluorescence of chromophoric dissolved organic matter, and specific conductance, was developed to calculate DOC at 15-minute intervals.</p><p>Mean and median calculated nitrate concentrations for the study period (2014–17) were both 0.21 milligram per liter (mg/L). Monthly mean nitrate concentrations ranged from 0.04 mg/L in April 2017 to 0.48 mg/L in November 2015. Monthly mean nitrate concentrations and the proportion of water that was attributed to Lake Okeechobee discharge, released through S-79, were weakly correlated and indicate that the nitrate concentrations typically decreased as the percentage of water released from the lake increased. Annual nitrate loads were 278 metric tons in 2015, 782 metric tons in 2016, and 525 metric tons in 2017. Monthly mean nitrate loads ranged from 1.2 metric tons in April 2017 to 171.3 metric tons in February 2016. Nitrate loads increased linearly with an increase in flow and typically increased during the wet season, May to October. Monthly loads of nitrate were strongly correlated with flow at S-77 and S-79.</p><p>Mean and median calculated DOC concentrations for the study period were 18.3 mg/L and 18.9 mg/L, respectively. Monthly mean DOC concentrations ranged from 12.6 mg/L in May 2017 to 21.5 mg/L in September 2015. Generally, DOC concentrations were lower during the dry season months (November to April) and higher during the wet season months. Monthly mean DOC concentrations were moderately correlated with monthly mean flow volumes at S-79. There was a strong correlation between monthly mean DOC concentrations and the proportion of water released at S-79 that can be attributed directly to Lake Okeechobee, indicating that contributions between Moore Haven Lock and Dam (S-77) and S-79 have a higher DOC concentration than water released from Lake Okeechobee. Monthly mean nitrate concentrations and monthly mean DOC concentrations were strongly correlated. Annual loads of DOC were 23,960 metric tons in 2015 and 65,610 metric tons in 2016 (2014 and 2017 data were incomplete). Monthly loads of DOC ranged from 284 metric tons in May 2017 to 15,122 metric tons in September 2017, the latter corresponding to the effects from Hurricane Irma. Monthly loads of DOC were strongly correlated with flow at S-77 and S-79.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201094","collaboration":"USGS Greater Everglades Priority Ecosystem Science Program","usgsCitation":"Booth, A., 2020, Measured and calculated nitrate and dissolved organic carbon concentrations and loads at the W.P. Franklin Lock and Dam, S-79, south Florida, 2014-17: U.S. Geological Survey Open-File Report 2020-1094, 37 p., https://doi.org/10.3133/ofr20201094.","productDescription":"Report: vi, 37 p.; Data Release","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-091619","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":380478,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1094/coverthb.jpg"},{"id":380479,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1094/ofr20201094.pdf","text":"Report","size":"3.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1094"},{"id":380480,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V4ZGWU","text":"USGS data release","linkHelpText":"Calculated carbon concentrations, Franklin Lock and Dam (S-79) southern Florida, 2014-2017"}],"country":"United States","state":"Florida","otherGeospatial":"W.P. Franklin Lock and Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.7437744140625,\n              26.701452590314368\n            ],\n            [\n              -81.47735595703125,\n              26.701452590314368\n            ],\n            [\n              -81.47735595703125,\n              26.74683674289727\n            ],\n            [\n              -81.7437744140625,\n              26.74683674289727\n            ],\n            [\n              -81.7437744140625,\n              26.701452590314368\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/car-fl-water\" data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>4446 Pet Lane, Suite 108<br>Lutz, FL 33559</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction and Background</li><li>Methods</li><li>Dissolved Organic Carbon Model</li><li>Nitrate Concentrations and Loads</li><li>Dissolved Organic Carbon Concentrations and Loads</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Model Archive Summary for Dissolved Organic Carbon Concentrations at Station 02292900: Caloosahatchee River at S-79, Nr. Olga, Florida</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-11-17","noUsgsAuthors":false,"publicationDate":"2020-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Booth, Amanda 0000-0002-2666-2366 acbooth@usgs.gov","orcid":"https://orcid.org/0000-0002-2666-2366","contributorId":5432,"corporation":false,"usgs":true,"family":"Booth","given":"Amanda","email":"acbooth@usgs.gov","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":804780,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70215385,"text":"ofr20201111 - 2020 - Arsenic and uranium occurrence in private wells in Connecticut, 2013–18—A spatially weighted and bedrock geology assessment","interactions":[],"lastModifiedDate":"2020-11-13T21:35:07.113539","indexId":"ofr20201111","displayToPublicDate":"2020-11-13T14:30:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1111","displayTitle":"Arsenic and Uranium Occurrence in Private Wells in Connecticut, 2013–18—A Spatially Weighted and Bedrock Geology Assessment","title":"Arsenic and uranium occurrence in private wells in Connecticut, 2013–18—A spatially weighted and bedrock geology assessment","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Connecticut Department of Public Health, conducted a study to determine the presence of arsenic and uranium in private drinking water wells in Connecticut. Samples were collected during 2013–18 from wells completed in 115 geologic units, with 2,433 samples analyzed for arsenic and 2,191 samples analyzed for uranium. The study concluded four major findings.</p><ul><li>In a spatially weighted analysis of groundwater samples collected from more than 2,000 private wells in bedrock aquifers in Connecticut, 3.9 percent of collected samples contained arsenic concentrations greater than the U.S. Environmental Protection Agency’s (EPA) maximum contaminant level (MCL) of 10 micrograms per liter (µg/L), and 4.7 percent of collected samples contained uranium concentrations greater than the EPA MCL of 30 µg/L.</li><li>Of the 2,433 water samples collected and analyzed from bedrock aquifers in Connecticut, 4.2 percent (102) contained arsenic concentrations at greater than 10 µg/L, and of the 2,191 water samples collected and analyzed from bedrock aquifers in Connecticut, 5.4 percent (118) contained uranium concentrations greater than 30 µg/L.</li><li>Uranium concentrations greater than or equal to 1 µg/L are relatively ubiquitous across the State of Connecticut, with these concentrations present in 44.9 percent of the State, according to spatially weighted statewide-scale proportion analysis.</li><li>Of the 115 geologic units studied, 44 had at least one sample with arsenic or uranium concentrations that exceeded the respective constituent’s EPA MCL.</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201111","collaboration":"Prepared in cooperation with the Connecticut Department of Public Health","usgsCitation":"Gross, E.L., and Brown, C.J., 2020, Arsenic and uranium occurrence in private wells in Connecticut, 2013–18—a spatially weighted and bedrock geology assessment: U.S. Geological Survey Open-File Report 2020–1111 (ver. 1.1, November 2020), 13 p., https://doi.org/10.3133/ofr20201111.","productDescription":"Report: vi, 13 p.; Data Release","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-113766","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":380451,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2020/1111/versionHist.txt","text":"Version history","size":"566 B","linkFileType":{"id":2,"text":"txt"}},{"id":379453,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1111/coverthb2.jpg"},{"id":379455,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KOU55K","text":"USGS data release","linkFileType":{"id":5,"text":"html"},"linkHelpText":"Data used to evaluate arsenic and uranium occurrence in Connecticut groundwater through spatially weighted and bedrock geology assessments"},{"id":380520,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1111/ofr20201111.pdf","text":"Report","size":"18.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 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 \"}}]}","edition":"Version 1.0: October 2020; Version 1.1: November 2020","contact":"<p><a href=\"mailto:dc_pa@usgs.gov\" data-mce-href=\"mailto:dc_pa@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/pa-water\" data-mce-href=\"https://www.usgs.gov/centers/pa-water\">Pennsylvania Water Science Center</a><br>U.S. Geological Survey<br>215 Limekiln Road<br>New Cumberland, PA 17070</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Arsenic and Uranium Concentration Data Sources</li><li>Arsenic and Uranium Concentrations in the State</li><li>Arsenic and Uranium Spatially Weighted Assessment</li><li>Arsenic and Uranium Occurrence in Relation to Bedrock Geology</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-10-19","revisedDate":"2020-11-13","noUsgsAuthors":false,"publicationDate":"2020-10-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Gross, Eliza L. 0000-0002-8835-3382 egross@usgs.gov","orcid":"https://orcid.org/0000-0002-8835-3382","contributorId":430,"corporation":false,"usgs":true,"family":"Gross","given":"Eliza","email":"egross@usgs.gov","middleInitial":"L.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":801912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Craig J. 0000-0002-3858-3964 cjbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-3858-3964","contributorId":198350,"corporation":false,"usgs":true,"family":"Brown","given":"Craig","email":"cjbrown@usgs.gov","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":801913,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70216124,"text":"ofr20201085 - 2020 - Quality assurance/quality control procedure for New Jersey’s water-use data for the New Jersey Water Transfer Data System (NJWaTr)","interactions":[],"lastModifiedDate":"2020-11-10T22:12:04.805415","indexId":"ofr20201085","displayToPublicDate":"2020-11-10T11:25:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1085","displayTitle":"Quality Assurance/Quality Control Procedure for New Jersey’s Water-Use Data for the New Jersey Water Transfer Data System (NJWaTr)","title":"Quality assurance/quality control procedure for New Jersey’s water-use data for the New Jersey Water Transfer Data System (NJWaTr)","docAbstract":"<p>This report is an instructional reference document that describes methods developed and used by the U.S. Geological Survey (USGS) New Jersey Water Science Center (NJWSC) to assure the quality and completeness of water-use data as provided by the New Jersey Department of Environmental Protection (NJDEP) Bureau of Water Allocation. These data are owned wholly by the State of New Jersey. The role of the USGS NJWSC is to assure the quality of these data by compiling, reviewing, and checking the datasets before uploading them into the New Jersey Water Transfer Data System (NJWaTr) database on an annual basis. The complete uploaded version of the NJWaTr database serves as the repository for New Jersey’s approved and published water-use data. The State of New Jersey maintains a public-facing version of the NJWaTr database (available online at <a href=\"https://www.nj.gov/dep/njgs/geodata/dgs10-3.htm\" data-mce-href=\"https://www.nj.gov/dep/njgs/geodata/dgs10-3.htm\">https://www.nj.gov/dep/njgs/geodata/dgs10-3.htm</a>) that contains monthly water-use data at the municipality and 14-digit Hydrologic Unit Code subwatershed level. The protected version of the NJWaTr database that contains monthly site-specific water-use data is available from the NJDEP upon request.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201085","collaboration":"Prepared in cooperation with New Jersey Department of Environmental Protection","usgsCitation":"Shourds, J.L., 2020, Quality assurance/quality control procedure for New Jersey’s water-use data for the New Jersey Water Transfer Data System (NJWaTr): U.S. Geological Survey Open-File Report 2020–1085, 26 p., https://doi.org/10.3133/ofr20201085.","productDescription":"viii, 26 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-112307","costCenters":[{"id":470,"text":"New Jersey Water Science 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Jersey\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/nj-water\" data-mce-href=\"https://www.usgs.gov/centers/nj-water\">New Jersey Water Science Center</a><br>U.S. Geological Survey<br>3450 Princeton Pike, Suite 110<br>Lawrenceville, NJ 08648</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Preface</li><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Quality Assurance/Quality Control Procedure For New Jersey’s Water-Use Data</li><li>Glossary</li><li>References Cited</li><li>Appendix 1. Selected Publications that Include Data from New Jersey Water Transfer Data System (NJWaTr)</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-11-10","noUsgsAuthors":false,"publicationDate":"2020-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Shourds, Jennifer L. 0000-0002-7631-9734 jshourds@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-9734","contributorId":5821,"corporation":false,"usgs":true,"family":"Shourds","given":"Jennifer","email":"jshourds@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":804196,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70216164,"text":"ofr20201129 - 2020 - Literature reviewed estimates of riparian consumptive water use in the drylands of Northeast Arizona, USA","interactions":[],"lastModifiedDate":"2020-11-10T20:50:08.611593","indexId":"ofr20201129","displayToPublicDate":"2020-11-06T09:41:43","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1129","displayTitle":"Literature-Reviewed Estimates of Riparian Consumptive Water Use in the Drylands of Northeast Arizona, USA","title":"Literature reviewed estimates of riparian consumptive water use in the drylands of Northeast Arizona, USA","docAbstract":"<p>This report provides the best estimates of riparian area evapotranspiration (ET) on the rivers and streams of the Navajo Nation by (1) quantifying the natural riparian vegetation water use within the Little Colorado River watershed using a literature search for comparable riparian ET estimates, and (2) in conjunction with the given area of stream-side plant cover on the Navajo Nation, provides the best estimate of consumptive use, the total water requirement (in acre-feet). This report includes riparian water use information only from the literature for riparian areas that are in similar dryland ecosystems in the Southwest, and not specific to the perennial tributaries and springs on the Navajo Nation within the Little Colorado River watershed. The report also includes any information found regarding the location of Navajo Nation weather station variables, such as where we can derive required data inputs from the Navajo Nation to estimate actual ET rates (in millimeters per day or millimeters per year). We provide estimates of annual riparian plant water use and calculations that include reference ET (potential ET or ETo), precipitation (in millimeters), and the calculations of consumptive water requirements of riparian vegetation. We cite our data sources and provide references used to determine the consumptive water requirement (acre-feet).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201129","collaboration":"Prepared in cooperation with Fred Phillips Consulting","usgsCitation":"Nagler, P.L., 2020, Literature reviewed estimates of riparian consumptive water use in the drylands of Northeast Arizona, USA: U.S. Geological Survey Open-File Report 2020–1129, 9 p., https://doi.org/10.3133/ofr20201129.","productDescription":"v, 9 p.","onlineOnly":"Y","ipdsId":"IP-122975","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":380268,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1129/coverthb.jpg"},{"id":380269,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1129/ofr20201129.pdf","text":"Report","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1129"}],"country":"United States","state":"Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.26855468749999,\n              32.30570601389429\n            ],\n            [\n              -113.51074218749999,\n              32.30570601389429\n            ],\n            [\n              -113.51074218749999,\n              35.71083783530009\n            ],\n            [\n              -115.26855468749999,\n              35.71083783530009\n            ],\n            [\n              -115.26855468749999,\n              32.30570601389429\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.90673828125,\n              34.45221847282654\n            ],\n            [\n              -108.984375,\n              34.45221847282654\n            ],\n            [\n              -108.984375,\n              36.96744946416934\n            ],\n            [\n              -111.90673828125,\n              36.96744946416934\n            ],\n            [\n              -111.90673828125,\n              34.45221847282654\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/sbsc/employee-directory\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/sbsc/employee-directory\">SBSC Staff</a>, <a href=\"https://www.usgs.gov/centers/sbsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/sbsc\">Southwest Biological Science Center</a><br>U.S. Geological Survey<br>2255 N. Gemini Drive<br>Flagstaff, AZ 86001</p>","tableOfContents":"<p></p><ul><li>Abstract</li><li>Introduction</li><li>Literature Review</li><li>Conclusion</li><li>References Cited</li></ul><p></p>","publishedDate":"2020-11-06","noUsgsAuthors":false,"publicationDate":"2020-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":804276,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70215998,"text":"ofr20201088 - 2020 - Investigation of suitable habitat for the endangered plant Ptilimnium nodosum (Rose) Mathias (harperella) using remote sensing and field analysis—Documentation of methods and results","interactions":[],"lastModifiedDate":"2020-11-03T23:55:36.901937","indexId":"ofr20201088","displayToPublicDate":"2020-11-03T10:15:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1088","displayTitle":"Investigation of Suitable Habitat for the Endangered Plant <em>Ptilimnium nodosum</em> (Rose) Mathias (Harperella) Using Remote Sensing and Field Analysis—Documentation of Methods and Results","title":"Investigation of suitable habitat for the endangered plant Ptilimnium nodosum (Rose) Mathias (harperella) using remote sensing and field analysis—Documentation of methods and results","docAbstract":"<p><i>Ptilimnium nodosum</i> (Rose) Mathias (harperella) is an endangered plant species found in Maryland, Virginia, and West Virginia, as well as in other locations throughout the southeastern United States. The narrow range of habitat characteristics for areas in which harperella has been found makes locating potential occurrence sites difficult and attempts at reintroduction of the plant relatively unsuccessful. Sightings of harperella have been made along the banks and in-channel bars of the Potomac River, along the Chesapeake and Ohio Canal National Historic Park, and within the Sideling Hill Wildlife Refuge near Hancock, Md. The large area covered by these sightings presents logistical challenges for repeat studies of harperella growth within the Park and in nearby areas. This study developed a geospatial method for characterizing harperella habitat through remote sensing, geospatial analysis, and field investigation. A geospatial prediction model was developed to model the habitat characteristics discussed in literature and found at harperella field observation sites in order to narrow the potential area for observation of the plant and its habitat. Analysis of historical aerial imagery was conducted within the space of the Potomac River to observe the persistence and flooding conditions of in-channel bars. The products of the geospatial prediction model and the historical aerial image analysis are a geospatial description of where harperella habitat is most likely to be found, as well as a map of in-channel bar locations and their persistence through time. From these two analyses, areas were identified that merited detailed observation. Very high resolution, unmanned aerial systems imagery was collected for 10 sites within this area in the Potomac River in June 2019. Unmanned aerial systems imagery has the potential to greatly improve detailed study of the harperella plant, as it provides the spatial resolution necessary to catalog detailed vegetation conditions (and potentially species identification). More importantly, the timing of imagery collection can be aligned carefully with the plant’s phenological patterns and local weather conditions to maximize cost-effectiveness of repeated imaging for specific areas.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201088","usgsCitation":"DeWitt, J.D., O’Pry, K.L., Chirico, P.G., and Young, J.A., 2020, Investigation of suitable habitat for the endangered plant Ptilimnium nodosum (Rose) Mathias (harperella) using remote sensing and field analysis—Documentation of methods and results: U.S. Geological Survey Open-File Report 2020–1088, 59 p., https://doi.org/10.3133/ofr20201088.","productDescription":"Report: vii, 59 p.; Data Release","numberOfPages":"59","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-113590","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":380054,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1088/ofr20201088.pdf","text":"Report","size":"26.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1088"},{"id":380053,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1088/coverthb.jpg"},{"id":380055,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NG1QSQ","text":"USGS data release","linkHelpText":"Data associated with the investigation of suitable habitat for the endangered plant harperella (<em>Ptilimnium nodosum</em> Rose) in the Potomac River near Hancock, Maryland"}],"country":"United States","state":"Maryland, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.27896118164061,\n              39.36190883564925\n            ],\n            [\n              -77.69119262695312,\n              39.36190883564925\n            ],\n            [\n              -77.69119262695312,\n              39.675484393594814\n            ],\n            [\n              -78.27896118164061,\n              39.675484393594814\n            ],\n            [\n              -78.27896118164061,\n              39.36190883564925\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/fbgc\" data-mce-href=\"https://www.usgs.gov/centers/fbgc\">Florence Bascom Geoscience Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 21092</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Geospatial Prediction Model</li><li>High-Resolution Historical Image Analysis</li><li>Unmanned Aerial Systems Imaging</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Harperella Occurrence Data</li><li>Appendix 2. Local, Site-Scale Observations</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-11-03","noUsgsAuthors":false,"publicationDate":"2020-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"DeWitt, Jessica D. 0000-0002-8281-8134 jdewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-8134","contributorId":5804,"corporation":false,"usgs":true,"family":"DeWitt","given":"Jessica","email":"jdewitt@usgs.gov","middleInitial":"D.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":803727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Pry, Kelsey L. 0000-0002-1589-4372","orcid":"https://orcid.org/0000-0002-1589-4372","contributorId":219734,"corporation":false,"usgs":false,"family":"O’Pry","given":"Kelsey","email":"","middleInitial":"L.","affiliations":[{"id":33043,"text":"Natural Systems Analysts, Inc.","active":true,"usgs":false}],"preferred":false,"id":803728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chirico, Peter G. 0000-0001-8375-5342","orcid":"https://orcid.org/0000-0001-8375-5342","contributorId":63838,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter","email":"","middleInitial":"G.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":803729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":803730,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215885,"text":"ofr20201115 - 2020 - Southern (California) sea otter population status and trends at San Nicolas Island, 2017–2020","interactions":[],"lastModifiedDate":"2020-11-03T12:47:24.250221","indexId":"ofr20201115","displayToPublicDate":"2020-11-02T08:26:49","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1115","displayTitle":"Southern (California) Sea Otter Population Status and Trends at San Nicolas Island, 2017–2020","title":"Southern (California) sea otter population status and trends at San Nicolas Island, 2017–2020","docAbstract":"<p><span>The southern sea otter (</span><i>Enhydra lutris nereis</i><span>) population at San Nicolas Island, California, has been monitored annually since the translocation of 140 sea otters to the island was completed in 1990. Monitoring efforts have varied in frequency and type across years. In 2017, the U.S. Navy and the U.S. Fish and Wildlife Service initiated a sea otter monitoring and research plan to determine the effects of military readiness activities on the growth or decline of the southern sea otter population at San Nicolas Island. The monitoring program, at its basic level, includes quarterly seasonal surveys of population abundance, distribution, and foraging activity. From 2017 to 2020, we measured a 22-percent per annum increase in population abundance (95-percent confidence interval =11–34 percent) with 114 total individuals as of February 2020. Coinciding with recent population growth, the sea otter distribution, which previously tended to concentrate on the west side, appears to have shifted toward an expansion of use in the north and especially greater seasonal use in the north and south during winter and spring. Foraging data were collected on a total of 2,675 foraging dives in 167 foraging bouts, and the majority of identified prey on successful dives (n=1,335) were sea urchins (940) followed by snails (240) and crabs (78). Small numbers of lobsters (26), octopus (16), and abalone (5) also were identified. Estimates of energy intake rates averaged 17.3 kilocalories per minute (95-percent confidence interval =15.6–19.0 kilocalories per minute) and suggest possible variations across years and seasons, but confidence intervals based on specific years of data were relatively wide. In addition to abundance, trends, distribution, and forage energy intake across seasons and years, these replicated surveys provide information on the precision of data achieved by quarterly survey effort. We used precision estimates and conducted simulation analyses to assess the power of detecting 10-percent or greater decreases in population growth rates and how this power is likely to change with years of observation, survey effort, and the size of decrease. These results can be useful to the planning of future monitoring and research of sea otters at San Nicolas Island.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201115","collaboration":"Wildlife Program<br/>Prepared in cooperation with the U.S. Fish and Wildlife Service and the U.S. Navy","usgsCitation":"Yee, J.L., Tomoleoni, J.A., Kenner, M.C., Fujii, J., Bentall, G.B., Tinker, M.T., and Hatfield, B.B., 2020, Southern (California) sea otter population status and trends at San Nicolas Island, 2017–2020: U.S. Geological Survey Open-File Report 2020–1115, 38 p., https://doi.org/​10.3133/​ofr20201115.","productDescription":"vii, 38 p.","onlineOnly":"Y","ipdsId":"IP-122171","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":379978,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1115/coverthb.jpg"},{"id":379979,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1115/ofr20201115.pdf","text":"Report","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1115"}],"country":"United States","state":"California","otherGeospatial":"San Nicolas Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.59510803222656,\n              33.20709496754046\n            ],\n            [\n              -119.42001342773438,\n              33.20709496754046\n            ],\n            [\n              -119.42001342773438,\n              33.29495143906896\n            ],\n            [\n              -119.59510803222656,\n              33.29495143906896\n            ],\n            [\n              -119.59510803222656,\n              33.20709496754046\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/ centers/ werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/ centers/ werc\">Western Ecological Research Center</a><br>U.S. Geological Survey<br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>References Cited</li><li>Appendix 1. Figures of Pages from the Monitoring and Research Plan for Southern Sea Otter Military Readiness Area</li></ul>","publishedDate":"2020-11-02","noUsgsAuthors":false,"publicationDate":"2020-11-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":803592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tomoleoni, Joseph A. 0000-0001-6980-251X jtomoleoni@usgs.gov","orcid":"https://orcid.org/0000-0001-6980-251X","contributorId":208133,"corporation":false,"usgs":false,"family":"Tomoleoni","given":"Joseph A.","email":"jtomoleoni@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":803593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kenner, Michael C. 0000-0003-4659-461X","orcid":"https://orcid.org/0000-0003-4659-461X","contributorId":208151,"corporation":false,"usgs":true,"family":"Kenner","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":803594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fujii, Jessica 0000-0003-4794-479X","orcid":"https://orcid.org/0000-0003-4794-479X","contributorId":139956,"corporation":false,"usgs":false,"family":"Fujii","given":"Jessica","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":803595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bentall, Gena B. 0000-0001-5448-1573","orcid":"https://orcid.org/0000-0001-5448-1573","contributorId":43103,"corporation":false,"usgs":true,"family":"Bentall","given":"Gena","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":803596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":803597,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hatfield, Brian B. 0000-0003-1432-2660 brian_hatfield@usgs.gov","orcid":"https://orcid.org/0000-0003-1432-2660","contributorId":127457,"corporation":false,"usgs":true,"family":"Hatfield","given":"Brian","email":"brian_hatfield@usgs.gov","middleInitial":"B.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":803598,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70215555,"text":"ofr20201119 - 2020 - Distribution of giant gartersnakes (Thamnophis gigas) in the Sacramento–San Joaquin Delta, California, 2018–2019","interactions":[],"lastModifiedDate":"2020-10-27T11:57:20.401641","indexId":"ofr20201119","displayToPublicDate":"2020-10-26T12:42:39","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1119","displayTitle":"Distribution of Giant Gartersnakes (<em>Thamnophis gigas</em>) in the Sacramento–San Joaquin Delta, California, 2018–2019","title":"Distribution of giant gartersnakes (Thamnophis gigas) in the Sacramento–San Joaquin Delta, California, 2018–2019","docAbstract":"<h1>Summary</h1><ul><li>We examined the occurrence of giant gartersnakes in the Sacramento–San Joaquin Delta, California, in 2018 and 2019.&nbsp;</li><li>We made eight captures of seven giant gartersnakes (three females, four males) in 2018, and six captures of six giant gartersnakes (four females, two males) in 2019.&nbsp;</li><li>Detection probabilities were exceedingly low despite using methods that achieve much higher detection probabilities in the rice-growing regions of the Sacramento Valley, California.&nbsp;</li><li>Our results indicated negative effects of salinity and prey abundance and positive effects of percent emergent vegetation on giant gartersnake occurrence in the Delta, but credible intervals of effect sizes broadly overlapped zero.&nbsp;</li><li>Estimates of giant gartersnake probability of occurrence were characterized by substantial uncertainty.&nbsp;</li><li>Additional study with a larger sample of randomly selected but accessible sites would help to further resolve the distribution of giant gartersnakes in the Delta and clarify how the physical and biotic environment in the Delta affects where giant gartersnakes exist.</li><li>Methodological development to increase detection probabilities in the Delta also would improve inference about giant gartersnake occupancy in the region.&nbsp;&nbsp;</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201119","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Fouts, K.J., Kim, R., Jordan, A.C., Fulton, A.M., Rose, J.P., Ersan, J.S. M., and Halstead, B.J., 2020, Distribution of giant gartersnakes (<em>Thamnophis gigas</em>) in the Sacramento–San Joaquin Delta, California, 2018–2019: U.S. Geological Survey Open-File Report 2020–1119, 26 p., https://doi.org/10.3133/ofr20201119.","productDescription":"vi, 26 p.","onlineOnly":"Y","ipdsId":"IP-117023","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":379663,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1119/ofr20201119.pdf","text":"Report","size":"23.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1119"},{"id":379662,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1119/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.1240234375,\n              37.783740105227224\n            ],\n            [\n              -121.16271972656249,\n              37.783740105227224\n            ],\n            [\n              -121.16271972656249,\n              38.61257832462118\n            ],\n            [\n              -122.1240234375,\n              38.61257832462118\n            ],\n            [\n              -122.1240234375,\n              37.783740105227224\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br>U.S. Geological Survey<br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li><li>Appendix 1 Supplemental Figures</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2020-10-26","noUsgsAuthors":false,"publicationDate":"2020-10-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Fouts, Kristen J. 0000-0003-1325-1709 kfouts@usgs.gov","orcid":"https://orcid.org/0000-0003-1325-1709","contributorId":200444,"corporation":false,"usgs":true,"family":"Fouts","given":"Kristen J.","email":"kfouts@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":802722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim, Richard 0000-0001-5891-0582 rkim@usgs.gov","orcid":"https://orcid.org/0000-0001-5891-0582","contributorId":204478,"corporation":false,"usgs":true,"family":"Kim","given":"Richard","email":"rkim@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":802723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jordan, Anna C. 0000-0001-8834-4542 ajordan@usgs.gov","orcid":"https://orcid.org/0000-0001-8834-4542","contributorId":200442,"corporation":false,"usgs":true,"family":"Jordan","given":"Anna C.","email":"ajordan@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":802724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fulton, Alexandria M. 0000-0002-1070-4605 afulton@usgs.gov","orcid":"https://orcid.org/0000-0002-1070-4605","contributorId":199343,"corporation":false,"usgs":true,"family":"Fulton","given":"Alexandria","email":"afulton@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":802725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":105624,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan P.","email":"jprose@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":802726,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ersan, Julia S. M. 0000-0002-1549-7561 jersan@usgs.gov","orcid":"https://orcid.org/0000-0002-1549-7561","contributorId":200441,"corporation":false,"usgs":true,"family":"Ersan","given":"Julia","email":"jersan@usgs.gov","middleInitial":"S. M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":802727,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":802728,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70215466,"text":"ofr20201104 - 2020 - Evaluation of the U.S. Geological Survey streamgage network in South Carolina, 2017","interactions":[],"lastModifiedDate":"2020-10-25T17:23:47.879673","indexId":"ofr20201104","displayToPublicDate":"2020-10-23T12:20:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1104","displayTitle":"Evaluation of the U.S. Geological Survey Streamgage Network in South Carolina, 2017","title":"Evaluation of the U.S. Geological Survey streamgage network in South Carolina, 2017","docAbstract":"<p>The U.S. Geological Survey (USGS) has been monitoring streamflow in South Carolina since the late 1800s. From the beginning, the USGS streamgage network in South Carolina has been dynamic, with streamgages being added or removed depending on their purpose and the availability of funding from Federal, State, and local partners. Streamflow monitoring is important for acquiring real-time data during flood events, but also for collecting long-term data that can be used to compute the magnitude and frequency of floods and to frame flood events in a historical perspective. These data are also critical for being able to develop regional regression equations that can be used to estimate flood characteristics at ungaged locations, which is important for infrastructure planning and design. The historical flooding that occurred in South Carolina in 2015, 2016, and 2018 highlighted the importance of collecting these data. Therefore, the USGS, in cooperation with the South Carolina Department of Transportation, evaluated the USGS streamgage network in South Carolina for the purpose of helping guide decisions concerning future streamgage location selection, both spatially and in terms of the range of drainage basin characteristics that are typically important in flood-frequency analyses. The results of this evaluation are presented in this report.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201104","collaboration":"Prepared in cooperation with the South Carolina Department of Transportation","usgsCitation":"Feaster, T.D., and Kolb, K.R., 2020, Evaluation of the U.S. Geological Survey streamgage network in South Carolina, 2017: U.S. Geological Survey Open-File Report 2020–1104, 15 p., https://doi.org/10.3133/ofr20201104.","productDescription":"Report: vii, 15 p.; 1 Plate: 40.00 x 40.00 inches; Appendixes 1-3; Data Release","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-116207","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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152035,33.350925],[-79.158429,33.332811],[-79.162332,33.327246],[-79.180318,33.254141],[-79.180563,33.237955],[-79.172394,33.206577],[-79.18787,33.173712],[-79.195631,33.166016],[-79.215453,33.155569],[-79.238262,33.137055],[-79.24609,33.124865],[-79.290754,33.110051]]]},\"properties\":{\"name\":\"South Carolina\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/sa-water\" data-mce-href=\"https://www.usgs.gov/centers/sa-water\">South Atlantic Water Science Center</a><br>U.S. Geological Survey<br>1770 Corporate Drive<br>Suite 500<br>Norcross, GA 30093</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>History of the Streamgage Network in South Carolina</li><li>Methods</li><li>Summary Statistics</li><li>Considerations for the Selection of New Streamgage Locations</li><li>Summary</li><li>References Cited</li><li>Appendix 1. U.S. Geological Survey Streamgages in South Carolina With Record Through September 2017—Rural Streamgages With 10 or More Years of Record</li><li>Appendix 2. U.S. Geological Survey Streamgages in South Carolina With Record Through September 2017—Rural Streamgages With Less Than 10 Years of Record</li><li>Appendix 3. U.S. Geological Survey Streamgages in South Carolina With Record Through September 2017—Urban Streamgages With Varying Years of Record</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-10-23","noUsgsAuthors":false,"publicationDate":"2020-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":205647,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby","email":"","middleInitial":"D.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolb, Katharine 0000-0002-1663-1662 kkolb@usgs.gov","orcid":"https://orcid.org/0000-0002-1663-1662","contributorId":5537,"corporation":false,"usgs":true,"family":"Kolb","given":"Katharine","email":"kkolb@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":802246,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215275,"text":"ofr20201108 - 2020 - Aquifer transmissivity in Nassau, Queens, and Kings Counties, New York, estimated from specific-capacity tests at production wells","interactions":[],"lastModifiedDate":"2020-10-16T12:33:17.218141","indexId":"ofr20201108","displayToPublicDate":"2020-10-15T15:50:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1108","displayTitle":"Aquifer Transmissivity in Nassau, Queens, and Kings Counties, New York, Estimated From Specific-Capacity Tests at Production Wells","title":"Aquifer transmissivity in Nassau, Queens, and Kings Counties, New York, estimated from specific-capacity tests at production wells","docAbstract":"<p>As part of a cooperative effort between the U.S. Geological Survey and the New York State Department of Environmental Conservation to evaluate the sustainability of Long Island’s sole-source aquifer system, the transmissivities of four aquifers were estimated from specific-capacity tests at 447 production wells in Nassau, Queens, and Kings Counties on Long Island, New York. The specific-capacity test data, which included pumping rate, pumping duration, and drawdown, were obtained from published and unpublished records of driller-reported acceptance tests collected at production wells screened in the upper glacial, Jameco, Magothy, or Lloyd aquifers. Pumping rates from the production wells during the tests generally were greater than 400 gallons per minute and ranged up to 1,800 gallons per minute. Pumping duration generally was 8 hours or more. Transmissivities were estimated from the specific-capacity data by the Cooper-Jacob approximation of the Theis equation. The transmissivity estimates are considered rough approximations because the aquifers do not meet the ideal assumptions of the method, well losses and partial penetration were not accounted for, and aquifer storage coefficients were not known but were only estimated from available data.</p><p>The transmissivities estimated from production wells screened in the upper glacial aquifer in the outwash plain south of the moraine generally were greater than those of the aquifer north of the moraine. The transmissivities estimated from the wells screened in the upper glacial aquifer south of the moraine typically ranged (as defined by the 10th and 90th percentiles) from 3,800 to 15,000 feet squared per day (ft<sup>2</sup>/d), with a median value of 7,300 ft<sup>2</sup>/d. The transmissivities estimated from the wells screened in the upper glacial aquifer north of the moraine typically ranged from 2,100 to 7,400 ft<sup>2</sup>/d, with a median value of 4,400 ft<sup>2</sup>/d. The Jameco aquifer generally had the highest estimated transmissivities of all the aquifers analyzed. The estimated transmissivities for the Jameco aquifer typically ranged from 5,500 to 43,000 ft<sup>2</sup>/d, with a median value of 16,000 ft<sup>2</sup>/d. The Magothy and Lloyd aquifers had similar estimated transmissivities. The transmissivities estimated for the Magothy aquifer typically ranged from 2,700 to 13,000 ft<sup>2</sup>/d, with a median of 7,100 ft<sup>2</sup>/d. The estimated transmissivities of the Lloyd typically ranged from 3,000 to 14,000 ft<sup>2</sup>/d, with a median of 7,200 ft<sup>2</sup>/d.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201108","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Williams, J.H., Woodley, M., and Finkelstein, J.S., 2020, Aquifer transmissivity in Nassau, Queens, and Kings Counties, New York, estimated from specific-capacity tests at production wells: U.S. Geological Survey Open-File Report 2020–1108, 7 p., https://doi.org/10.3133/ofr20201108.","productDescription":"Report: iv, 7 p.; Dataset; Application Site","numberOfPages":"7","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-108170","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":379362,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1108/coverthb.jpg"},{"id":379363,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1108/ofr20201108.pdf","text":"Report","size":"1.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1108"},{"id":379365,"rank":4,"type":{"id":4,"text":"Application Site"},"url":"https://ny.water.usgs.gov/maps/aq-test/","text":"Aquifer Test Locator","linkFileType":{"id":5,"text":"html"}},{"id":379364,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"National Water Information System database","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","county":"Nassau County, Queens County, Kings County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.0972900390625,\n              40.43858586704331\n            ],\n            [\n              -73.388671875,\n              40.43858586704331\n            ],\n            [\n              -73.388671875,\n              41.000629848685385\n            ],\n            [\n              -74.0972900390625,\n              41.000629848685385\n            ],\n            [\n              -74.0972900390625,\n              40.43858586704331\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ ny@usgs.gov\" data-mce-href=\"mailto:dc_ ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Hydrogeologic Setting</li><li>Previous Estimates of Hydraulic Properties</li><li>Description of Specific-Capacity Tests and Wells</li><li>Estimation Method and Limitations</li><li>Estimated Transmissivities of Selected Production Wells</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-10-15","noUsgsAuthors":false,"publicationDate":"2020-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":801449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodley, Madison","contributorId":243054,"corporation":false,"usgs":false,"family":"Woodley","given":"Madison","email":"","affiliations":[],"preferred":false,"id":801473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":202452,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":801450,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70214666,"text":"ofr20201101 - 2020 - Geologic and mineral map (modified from the 1975 original map compilation by A.S. Shadchinev and others) and hyperspectral surface materials maps of the Ghorband, Salang, and Panjsher River Basins; Kapisa, Panjsher, Parwan, and Baghlan Provinces, Afghanistan","interactions":[],"lastModifiedDate":"2021-08-23T16:19:59.150981","indexId":"ofr20201101","displayToPublicDate":"2020-10-13T12:15:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1101","displayTitle":"Geologic and Mineral Map (Modified from the 1975 Original Map Compilation by A.S. Shadchinev and Others) and Hyperspectral Surface Materials Maps of the Ghorband, Salang, and Panjsher River Basins; Kapisa, Panjsher, Parwan, and Baghlan Provinces, Afghanistan","title":"Geologic and mineral map (modified from the 1975 original map compilation by A.S. Shadchinev and others) and hyperspectral surface materials maps of the Ghorband, Salang, and Panjsher River Basins; Kapisa, Panjsher, Parwan, and Baghlan Provinces, Afghanistan","docAbstract":"<h1>Introduction</h1><p>The geologic map and cross sections are a redrafted and modified version of the <i>Geologic map and map of mineral resources of the basins of Ghorband, Salang, and Panjsher</i>; located in the Kapisa, Panjsher, Parwan, and Baghlan Provinces, Afghanistan. The original map and cross sections are contained in an unpublished Soviet report no. 1162A (Shadchinev and others, 1975) prepared in cooperation with the Ministry of Mines and Industries of the Royal Government of Afghanistan, in Kabul during 1975, under contract no. 55–184/17500. This redrafted map consists of parts of quadrangle map sheets 503–F, 504–C, 504–D, 504–E, and 504–F shown on an index map that can be found on the original 1:100,000-scale map by Shadchinev and others (1975). The redrafted map and cross sections illustrate the mineral deposits and geologic structure of the Ghorband, Salang, and Panjsher River Basins. Because there were no location coordinates provided on the original Soviet map, the map was registered to drainage patterns identified by contours from the Global Digital Elevation Model (GDEM). The end result can only be considered a best fit for the map extend, and some features may not be positioned in their correct geographic location.</p><p>The redrafted geologic map and cross sections reproduce the topology of rock units, contacts, and faults of the original Soviet map and cross sections, and includes minor modifications based on our examination of the originals. Table 1, provided on both map sheets 1 and 2, shows mineral commodity locations also from the original Soviet map. However, because of the poor quality of the original map, some map features could not be identified and some may be misinterpreted. Further, we have attempted to translate the original Russian terminology and rock classifications into modern English geologic usage as literally as possible without changing any genetic or process-oriented implications in the original rock-unit descriptions. We also use the rock-unit age designations from the original maps, however, rock-unit colors and symbols differ from the colors and symbols shown on the original version. Unit colors were selected according to the color and pattern scheme of the Commission for the Geological Map of the World (http://www.ccgm.org). Unit symbols were assigned based on the geologic age and unit descriptions provided on the original Soviet map. Elevations on the cross sections are derived from the original topography and may not match the Global GDEM topography used on the redrafted geologic map of this report.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201101","collaboration":"Prepared in cooperation with the Afghan Geological Survey under the auspices of the U.S. Agency for International Development","usgsCitation":"Stettner, W.R., Koroleva, N.E., Masonic, L.M., and Shields, D.A., comps., 2020, Geologic and mineral map (modified from the 1975 original map compilation by A.S. Shadchinev and others) and hyperspectral surface materials maps of the Ghorband, Salang, and Panjsher River Basins; Kapisa, Panjsher, Parwan, and Baghlan Provinces, Afghanistan: U.S. Geological Survey Open-File Report 2020–1101, 2 sheets, scale 1:100,000, https://doi.org/10.3133/ofr20201101.","productDescription":"2 Sheets: 41.50 x 30.50 inches and 41.50 x 52.00 inches","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057774","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":379032,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1101/ofr20201101_sheet2.pdf","text":"Sheet 2","size":"203 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":378954,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1101/coverthb.jpg"},{"id":378955,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1101/ofr20201101_sheet1.pdf","text":"Sheet 1","size":"61.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1101"}],"scale":"100000","country":"Afghanistan","state":"Baghlan, Kapisa, Panjsher, Parwan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              67.21435546875,\n              34.32529192442733\n            ],\n            [\n              71.3671875,\n              34.32529192442733\n            ],\n            [\n              71.3671875,\n              36.35052700542763\n            ],\n            [\n              67.21435546875,\n              36.35052700542763\n            ],\n            [\n              67.21435546875,\n              34.32529192442733\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/fbgc\" data-mce-href=\"https://www.usgs.gov/centers/fbgc\">Florence Bascom Geoscience Center</a><br>U.S. Geological Survey <br>12201 Sunrise Valley Drive <br>Reston, VA 21092</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<p>Sheet 1</p><ul><li>Introduction</li><li>Description of Map Units</li><li>Explanation of May Symbols</li><li>References</li></ul><p>Sheet 2</p><ul><li>Introduction</li><li>Explanation of May Symbols</li><li>Explanation of Material Classes</li><li>References</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-10-13","noUsgsAuthors":false,"publicationDate":"2020-10-13","publicationStatus":"PW","contributors":{"compilers":[{"text":"Stettner, Will R. wstettne@usgs.gov","contributorId":4021,"corporation":false,"usgs":true,"family":"Stettner","given":"Will","email":"wstettne@usgs.gov","middleInitial":"R.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":800589,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Koroleva, Natalia E.","contributorId":242017,"corporation":false,"usgs":false,"family":"Koroleva","given":"Natalia","email":"","middleInitial":"E.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":false,"id":800590,"contributorType":{"id":3,"text":"Compilers"},"rank":2},{"text":"Masonic, Linda M. 0000-0002-6358-4125 lmasonic@usgs.gov","orcid":"https://orcid.org/0000-0002-6358-4125","contributorId":242018,"corporation":false,"usgs":true,"family":"Masonic","given":"Linda","email":"lmasonic@usgs.gov","middleInitial":"M.","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":800591,"contributorType":{"id":3,"text":"Compilers"},"rank":3},{"text":"Shields, David A. 0000-0002-3395-5458 dshields@usgs.gov","orcid":"https://orcid.org/0000-0002-3395-5458","contributorId":242019,"corporation":false,"usgs":true,"family":"Shields","given":"David","email":"dshields@usgs.gov","middleInitial":"A.","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":800592,"contributorType":{"id":3,"text":"Compilers"},"rank":4}]}}
,{"id":70214981,"text":"ofr20201077 - 2020 - Development of a suite of functional immune assays and initial assessment of their utility in wild smallmouth bass health assessments","interactions":[],"lastModifiedDate":"2024-03-04T19:49:56.75641","indexId":"ofr20201077","displayToPublicDate":"2020-10-07T10:05:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1077","displayTitle":"Development of a Suite of Functional Immune Assays and Initial Assessment of Their Utility in Wild Smallmouth Bass Health Assessments","title":"Development of a suite of functional immune assays and initial assessment of their utility in wild smallmouth bass health assessments","docAbstract":"<p>Methods were developed for measuring immune function in <i>Micropterus dolomieu</i> (smallmouth bass). The ultimate objective is to monitor and evaluate changes over time in immune status and disease resistance in conjunction with other characteristics of fish health and environmental stressors. To test these methods for utility in ecotoxicological studies, 192 smallmouth bass, age 2 years and older, were collected from three sites within the Susquehanna River Basin and one site in the Ohio River Basin during spring and fall 2016 and 2017. The anterior kidney was aseptically removed and homogenized for leukocyte isolation. Leukocytes were tested for bactericidal activity against two species of bacteria; respiratory burst activity when stimulated with phorbol 12-myristate 13-acetate; and mitogenesis activity when stimulated with concanavalin A, phytohemagglutinin, and lipopolysaccharide. Tissues were preserved for histopathological analyses.</p><p>Two of the sites were part of a monitoring program at which surface-water samples were collected monthly (bimonthly in spring) for chemical contaminants. Significant seasonal and (or) site differences in all three immune function tests were observed. Interpretations of seasonal trends in immune function of wild fish or correlations with environmental variables and other factors are difficult to make owing to the complex nature of the immune response and the environment. Differences in immune function could potentially be related to a variety of confounding factors; therefore, additional endpoints and repeated sampling over an extended period are essential to draw conclusions on the immune status of wild fish.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201077","collaboration":"Prepared in cooperation with Pennsylvania Department of Environmental Protection","usgsCitation":"Smith, C.R., Ottinger, C.A., Walsh, H.L., and Blazer, V.S., 2020, Development of a suite of functional immune assays and initial assessment of their utility in wild smallmouth bass health assessments: U.S. Geological Survey Open-File Report 2020–1077, 23 p., https://doi.org/10.3133/ofr20201077.","productDescription":"vii, 23 p.","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-118051","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":379041,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1077/ofr20201077.pdf","text":"Report","size":"13.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1077"},{"id":379040,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1077/coverthb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Tionesta Lake, Pine Creek, Upper Juniata River, West Branch Mahantango Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.79919433593749,\n              41.30257109430557\n            ],\n            [\n              -77.38220214843749,\n              41.30257109430557\n            ],\n            [\n              -77.38220214843749,\n              42.00032514831621\n            ],\n            [\n              -79.79919433593749,\n              42.00032514831621\n            ],\n            [\n              -79.79919433593749,\n              41.30257109430557\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>11649 Leetown Road<br>Kearneysville, WV 25430</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Materials and Methods</li><li>Biometric Data and Immune Function Results</li><li>Summary of Findings</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-10-07","noUsgsAuthors":false,"publicationDate":"2020-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Cheyenne R. 0000-0002-7226-1774","orcid":"https://orcid.org/0000-0002-7226-1774","contributorId":219236,"corporation":false,"usgs":true,"family":"Smith","given":"Cheyenne","email":"","middleInitial":"R.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":800493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ottinger, Christopher A. 0000-0003-2551-1985 cottinger@usgs.gov","orcid":"https://orcid.org/0000-0003-2551-1985","contributorId":2559,"corporation":false,"usgs":true,"family":"Ottinger","given":"Christopher","email":"cottinger@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":800494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":800495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":800496,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215030,"text":"ofr20201110 - 2020 - A clarification on the effects of urbanization on Golden Eagle (Aquila chrysaetos) habitat selection","interactions":[],"lastModifiedDate":"2020-10-06T21:34:36.833735","indexId":"ofr20201110","displayToPublicDate":"2020-10-06T11:38:02","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1110","displayTitle":"A Clarification on the Effects of Urbanization on Golden Eagle (<i>Aquila chrysaetos</i>) Habitat Selection","title":"A clarification on the effects of urbanization on Golden Eagle (Aquila chrysaetos) habitat selection","docAbstract":"<h1>Introduction</h1><p>In 2018, the U.S. Geological Survey (USGS) published an Open-File Report (<a data-mce-href=\"https://doi.org/10.3133/ofr20181067\" href=\"https://doi.org/10.3133/ofr20181067\" target=\"_blank\" rel=\"noopener\">Tracey and others, 2018</a>) presenting a Bayesian habitat selection model for golden eagles (<i>Aquila chrysaetos</i>) in San Diego County, California. The model used telemetry data to examine the effects of urban development, exurban development, and topography (characterized by a topographic position index and a vector ruggedness measure, TPI and VRM respectively) on golden eagle habitat selection probability. Based on figures 3 and 6 of <a data-mce-href=\"https://doi.org/10.3133/ofr20181067\" href=\"https://doi.org/10.3133/ofr20181067\" target=\"_blank\" rel=\"noopener\">Tracey and others (2018)</a>, we received inquiries from cooperators (U.S. Fish and Wildlife Service and California Department of Fish and Wildlife) about how the probability of eagle use declines with decreasing distance to the urban edge. Here, we clarify our results by addressing that question.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201110","collaboration":"Prepared in cooperation with San Diego Association of Governments, U.S. Fish and Wildlife Service, Bureau of Land Management, and California Department of Fish and Wildlife","usgsCitation":"Tracey, J.A., Madden, M.C., Bloom, P.H., and Fisher, R.N., 2020, A clarification on the effects of urbanization on Golden Eagle (<i>Aquila chrysaetos</i>) habitat selection: U.S. Geological Survey Open-File Report 2020–1110, 7 p., https://doi.org/10.3133/ofr20201110.","productDescription":"iv, 7 p.","numberOfPages":"7","onlineOnly":"Y","ipdsId":"IP-121710","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":379081,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1110/covrthb.jpg"},{"id":379082,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1110/ofr20201110.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":379083,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20181067","text":"Open-File Report 2018-1067","linkHelpText":"- Golden eagle (<i>Aquila chrysaetos</i>) habitat selection as a function of land use and terrain, San Diego County, California"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/werc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Introduction</li><li>Methods</li><li>Results and Discussion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2020-10-06","noUsgsAuthors":false,"publicationDate":"2020-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Tracey, Jeff A. 0000-0002-1619-1054 jatracey@usgs.gov","orcid":"https://orcid.org/0000-0002-1619-1054","contributorId":5780,"corporation":false,"usgs":true,"family":"Tracey","given":"Jeff","email":"jatracey@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":800593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madden, Melanie C. 0000-0003-4147-7254 mmadden@usgs.gov","orcid":"https://orcid.org/0000-0003-4147-7254","contributorId":229684,"corporation":false,"usgs":true,"family":"Madden","given":"Melanie","email":"mmadden@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":800594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bloom, Peter H.","contributorId":242659,"corporation":false,"usgs":true,"family":"Bloom","given":"Peter","email":"","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":800595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":800596,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70214571,"text":"ofr20201087 - 2020 - Analyses on subpopulation abundance and annual number of maternal dens for the U.S. Fish and Wildlife Service on polar bears (Ursus maritimus) in the southern Beaufort Sea, Alaska","interactions":[],"lastModifiedDate":"2020-10-02T11:46:04.926688","indexId":"ofr20201087","displayToPublicDate":"2020-10-01T10:12:49","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1087","displayTitle":"Analyses on Subpopulation Abundance and Annual Number of Maternal Dens for the U.S. Fish and Wildlife Service on Polar Bears (<em>Ursus maritimus</em>) in the Southern Beaufort Sea, Alaska","title":"Analyses on subpopulation abundance and annual number of maternal dens for the U.S. Fish and Wildlife Service on polar bears (Ursus maritimus) in the southern Beaufort Sea, Alaska","docAbstract":"<p>The long-term persistence of polar bears (<i>Ursus maritimus</i>) is threatened by sea-ice loss due to climate change, which is concurrently providing an opportunity in the Arctic for increased anthropogenic activities including natural resource extraction. Mitigating the risk of those activities, which can adversely affect the population dynamics of the southern Beaufort Sea (SBS) subpopulation, is an emerging challenge as polar bears become more reliant on land and come into more frequent contact with humans. The Marine Mammal Protection Act and Endangered Species Act require the U.S. Fish and Wildlife Service to determine whether industrial activities will have a negligible impact on the SBS subpopulation. Information important to making that determination includes estimates of subpopulation abundance and the number of maternal dens likely to be present in areas where industrial activities occur. We analyzed mark-recapture data collected from SBS polar bears sampled in Alaska during 2001–16 using multistate Cormack-Jolly-Seber models. Estimated survival rates were relatively high during 2001–03, lower during 2004–08, then higher during 2009–15 except for 2012. Estimated abundance in the Alaska part of the SBS was consistent with the estimated survival rates, declining from about 1,300 bears in 2003 to 525 bears in 2006 and then remaining generally stable during 2006–15. The point estimate for the Alaska part of the SBS in 2015, the last year in which abundance could be estimated, was 573 bears (95-percent credible interval = 232, 1,140 bears). To estimate the expected number of terrestrial dens likely to be present in a given region in a given year, we used a Bayesian modeling approach based on calculations derived from SBS demographic and denning data. We estimated that the entire SBS subpopulation produced 123 dens per year (median; 95-percent credible interval = 69, 198 dens), 66 (median; 95-percent credible interval = 35, 110 dens) of which were land-based. Most land-based dens were located between the Colville and Canning Rivers (which includes the Prudhoe Bay-Kuparuk industrial footprint), followed by the 1002 Area of the Arctic National Wildlife Refuge and the National Petroleum Reserve-Alaska.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201087","collaboration":"U.S. Geological Survey Wildlife Program","usgsCitation":"Atwood, T.C., Bromaghin, J.F., Patil, V.P., Durner, G.M., Douglas, D.C., and Simac, K.S., 2020, Analyses on subpopulation abundance and annual number of maternal dens for the U.S. Fish and Wildlife Service on polar bears (Ursus maritimus) in the southern Beaufort Sea, Alaska: U.S. Geological Survey Open-File Report 2020-1087, 16 p., https://doi.org/10.3133/ofr20201087.","productDescription":"Report: iv, 16 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-120083","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":378973,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds1121","text":"Data Series 1121","description":"DS 1121"},{"id":378971,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1087/coverthb.jpg"},{"id":378972,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1087/ofr20201087.pdf","text":"Report","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1087"},{"id":378974,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A9E5UP","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Multistate capture and search data from the southern Beaufort Sea polar bear subpopulation in Alaska, 2001-2016"}],"country":"United States","state":"Alaska","otherGeospatial":"Southern Beaufort Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158.642578125,\n              69.06856318696033\n            ],\n            [\n              -140.9326171875,\n              69.06856318696033\n            ],\n            [\n              -140.9326171875,\n              72.40899172812024\n            ],\n            [\n              -158.642578125,\n              72.40899172812024\n            ],\n            [\n              -158.642578125,\n              69.06856318696033\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-10-01","noUsgsAuthors":false,"publicationDate":"2020-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":800371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":800372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":800373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":800374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":800375,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":800376,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70214614,"text":"ofr20201103 - 2020 - Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019","interactions":[{"subject":{"id":70195366,"text":"ofr20181008 - 2018 - Annotated bibliography of scientific research on greater sage-grouse published since January 2015","indexId":"ofr20181008","publicationYear":"2018","noYear":false,"title":"Annotated bibliography of scientific research on greater sage-grouse published since January 2015"},"predicate":"SUPERSEDED_BY","object":{"id":70214614,"text":"ofr20201103 - 2020 - Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019","indexId":"ofr20201103","publicationYear":"2020","noYear":false,"title":"Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019"},"id":1}],"lastModifiedDate":"2020-10-01T17:06:53.237674","indexId":"ofr20201103","displayToPublicDate":"2020-09-30T17:33:34","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1103","displayTitle":"Annotated Bibliography of Scientific Research on Greater Sage-Grouse Published from 2015 to 2019","title":"Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019","docAbstract":"<p>The greater sage-grouse (<i>Centrocercus urophasianus</i>; hereafter GRSG) has been a focus of scientific investigation and management action for the past two decades. The 2015 U.S. Fish and Wildlife Service listing determination of “not warranted” was in part due to a large-scale collaborative effort to develop strategies to conserve GRSG populations and their habitat and to reduce threats to both. New scientific information augments existing knowledge and can help inform updates or modifications to existing plans for managing GRSG and sagebrush ecosystems. However, the sheer number of scientific publications can be a challenge for managers tasked with evaluating and determining the need for potential updates to existing planning documents. To assist in this process, the U.S. Geological Survey (USGS) has reviewed and summarized the scientific literature published since January 1, 2015. The first GRSG literature summary was published early in 2018. Here we provide an update to that document by adding summaries of articles published between January 6, 2018 and October 2, 2019.</p><p>To identify articles and reports published about GRSG, we first conducted a structured search of three reference databases (Web of Science, Scopus, and Google Scholar) using the search term “greater sage-grouse.” We refined the initial list of products by (1) removing duplicates, (2) excluding products that were not published as research or scientific review articles in peer-reviewed journals or as formal technical reports, and (3) retaining only those products for which GRSG or their habitat was a research focus.</p><p>We summarized the contents of each product by using a consistent structure (background, objectives, methods, location, findings, and implications) and assessed the content of each product relevant to a list of 31 management topics. These topics include GRSG biology and habitat characteristics along with potential management actions, land uses, and environmental factors related to GRSG management and conservation. We also noted which articles/reports created new geospatial data.</p><p>Our original search, conducted on January 7, 2018, and the application of our criteria, resulted in the inclusion of 169 published products (2 of these products were published corrections to journal articles). This update adds summaries of 69 products published between then and October 2, 2019. The management topics most commonly addressed were GRSG behavior or demographics and GRSG habitat selection or habitat characteristics at broad or site scales. Few products addressed captive breeding, recreation, wild horses and burros, and range management structures (including fences). The management topics with the largest increase in representation between the 2018 GRSG literature summary and this update were GRSG survival and GRSG population estimates or targets, which were each addressed in 16 percent of products in the original literature summary document, but were addressed in 30 and 33 percent, respectively, of newly summarized products. Topics with the largest declines in representation were conifer expansion, - 17 to 10 percent, and new geospatial data, -31 to 21 percent. We include in this annotated bibliography the full citation, Digital Object Identifier (DOI), product summary, and management topics addressed by each product. The online version of this bibliography (https://apps.usgs.gov/gsgbib/index.php) is searchable by topic and location and includes links to journal landing pages for each original publication.</p><p>A substantial body of literature has been compiled on research explicitly related to the conservation, management, monitoring, and assessment of GRSG. These studies may inform planning and management actions that seek to balance conservation, economic, and social objectives and manage diverse resource uses and values across the western United States.</p><p>The review process for this product included requesting input on each summary from one or more authors of the original peer-reviewed article or report and a formal review of the entire document by three independent reviewers for the original document and by two independent reviewers for the updated document and, subsequently, the USGS Bureau Approving Official. This process is consistent with USGS Fundamental Science Practices.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201103","usgsCitation":"Carter, S.K., Arkle, R.S., Bencin, H.L., Harms, B.R., Manier, D.J., Johnston, A.N., Phillips, S.L., Hanser, S.E., and Bowen, Z.H., 2020, Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019: U.S. Geological Survey Open-File Report 2020–1103, 264 p., https://doi.org/10.3133/ofr20201103.","productDescription":"v, 264 p.","onlineOnly":"Y","ipdsId":"IP-117994","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":378931,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://apps.usgs.gov/gsgbib/index.php","text":"Interactive, searchable version —","description":"Related Work - Interactive, searchable version","linkHelpText":"Annotated Bibliography of Scientific Research on Greater Sage-Grouse Published since January 2015"},{"id":378930,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1103/ofr20201103.pdf","text":"Report","size":"3.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1103"},{"id":378929,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1103/coverthb.jpg"},{"id":378932,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20181017","text":"Open-File Report 2018-1017 —","description":"Related Work - OFR 2018-1017","linkHelpText":"Greater Sage-Grouse Science (2015–17)—Synthesis and Potential Management Implications"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Kansas, Montana, Nebraska, New Mexico, North Dakota, Oklahoma, Oregon, South Dakota, Texas, Utah, Washington, Wyoming","otherGeospatial":"Greater sage-grouse Management Zones","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.71679687499999,\n              32.54681317351514\n            ],\n            [\n              -101.337890625,\n              34.95799531086792\n            ],\n            [\n              -101.07421875,\n              52.482780222078226\n            ],\n            [\n              -126.12304687500001,\n              50.233151832472245\n            ],\n            [\n              -124.71679687499999,\n              32.54681317351514\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/fort\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/fort\">Fort Collins Science Center</a><br>U.S. Geological Survey<br>2150 Centre Ave., Building C<br>Fort Collins, CO 80526-8118</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results and Conclusions</li><li>Review Process</li><li>Acknowledgments</li><li>References Cited</li><li>Annotated Bibliography</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-09-30","noUsgsAuthors":false,"publicationDate":"2020-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":800231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arkle, Robert S. 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":3501,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert S.","email":"rarkle@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":800232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bencin, Heidi L. 0000-0002-0879-5392","orcid":"https://orcid.org/0000-0002-0879-5392","contributorId":222412,"corporation":false,"usgs":true,"family":"Bencin","given":"Heidi","email":"","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":800233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harms, Benjamin R. 0000-0001-7570-6962","orcid":"https://orcid.org/0000-0001-7570-6962","contributorId":222413,"corporation":false,"usgs":true,"family":"Harms","given":"Benjamin","email":"","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":800234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manier, Daniel J. 0000-0002-1105-1327 manierd@usgs.gov","orcid":"https://orcid.org/0000-0002-1105-1327","contributorId":4589,"corporation":false,"usgs":true,"family":"Manier","given":"Daniel","email":"manierd@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":800235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnston, Aaron N. 0000-0003-4659-0504 ajohnston@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-0504","contributorId":241957,"corporation":false,"usgs":false,"family":"Johnston","given":"Aaron N.","email":"ajohnston@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":800236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phillips, Susan L. 0000-0002-5891-8485 sue_phillips@usgs.gov","orcid":"https://orcid.org/0000-0002-5891-8485","contributorId":717,"corporation":false,"usgs":true,"family":"Phillips","given":"Susan","email":"sue_phillips@usgs.gov","middleInitial":"L.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":800237,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hanser, Steven E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":3020,"corporation":false,"usgs":true,"family":"Hanser","given":"Steven E.","email":"shanser@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":800238,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":800239,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70214056,"text":"ofr20201096 - 2020 - Field evaluation of the Sequoia Scientific LISST-ABS acoustic backscatter sediment sensor","interactions":[],"lastModifiedDate":"2022-10-25T13:56:58.33759","indexId":"ofr20201096","displayToPublicDate":"2020-09-24T11:47:39","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1096","displayTitle":"Field Evaluation of the Sequoia Scientific LISST-ABS Acoustic Backscatter Sediment Sensor","title":"Field evaluation of the Sequoia Scientific LISST-ABS acoustic backscatter sediment sensor","docAbstract":"<p>Sequoia Scientific’s LISST-ABS is a submersible acoustic instrument that measures the acoustic backscatter sensor (ABS) concentration at a point within a river, stream, or creek. Compared to traditional physical methods for measuring suspended-sediment concentration (SSC), sediment surrogates like the LISST-ABS offer continuous data that can be calibrated with physical SSC samples. Data were collected at 10 U.S. Geological Survey streamflow-gaging stations between January 10, 2016, and February 21, 2018, across the contiguous United States to test the accuracy and effectiveness of using the LISST-ABS as a surrogate for measuring the concentration of suspended sediment in a dynamic fluvial system. Correlation coefficients (Pearson’s <i>r</i> values) relating the ABS concentration and SSC from physical samples ranged from <i>r</i> = 0.718 to <i>r</i> = 0.956 at the 10 stations with the mean percentage of fines (percentage of the sediment less than 62.5 microns in diameter) ranging from 65 to 100 percent (with minimum and maximum values of 18 and 100 percent, respectively). The LISST-ABS instruments used in this field evaluation were factory-calibrated to accurately determine SSC for grains in the diameter range of 75–90 microns. Note that the sensor responds to grains of arbitrary sizes, but the accuracy varies at sizes other than this calibration size. For operational use, regression models could be determined for the ABS concentrations and SSC values or the instrument could be recalibrated to sediments for each fluvial environment. However, such calibrations were beyond the scope of this report.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201096","collaboration":"Federal Interagency Sedimentation Project and Observing Systems Division","usgsCitation":"Manaster, A.E., Straub, T.D., Wood, M.S., Bell, J.M., Dombroski, D.E., and Curran, C.A., 2020, Field evaluation of the Sequoia Scientific LISST-ABS acoustic backscatter sediment sensor: U.S. Geological Survey Open-File Report 2020–1096, 26 p., https://doi.org/10.3133/ofr20201096.","productDescription":"Report: v, 26 p.; Data Release","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-116096","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":378643,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1096/coverthb.jpg"},{"id":378644,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1096/ofr20201096.pdf","text":"Report","size":"3.04 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1096"},{"id":378645,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LROJE4","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Data for field evaluation of the Sequoia Scientific LISST-ABS acoustic backscatter sediment sensor"}],"contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/cm-water\" href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>405 North Goodwin<br>Urbana, IL 61801</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Acoustic Backscatter Sensor, Turbidity, and Suspended-Sediment Concentration Relations Across Stations</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-09-24","noUsgsAuthors":false,"publicationDate":"2020-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Manaster, Adam E. 0000-0001-8183-4274","orcid":"https://orcid.org/0000-0001-8183-4274","contributorId":238781,"corporation":false,"usgs":false,"family":"Manaster","given":"Adam","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":799341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Straub, Timothy D. 0000-0002-5896-0851 tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":799342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bell, Joseph M. 0000-0002-2536-2070 jmbell@usgs.gov","orcid":"https://orcid.org/0000-0002-2536-2070","contributorId":5063,"corporation":false,"usgs":true,"family":"Bell","given":"Joseph","email":"jmbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dombroski, Daniel E. 0000-0002-7136-3656","orcid":"https://orcid.org/0000-0002-7136-3656","contributorId":241011,"corporation":false,"usgs":false,"family":"Dombroski","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":799345,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799346,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70214034,"text":"ofr20201092 - 2020 - Observed and modeled mercury and dissolved organic carbon concentrations and loads at control structure S-12D, Florida Everglades, 2013–17","interactions":[],"lastModifiedDate":"2020-09-22T16:11:54.099952","indexId":"ofr20201092","displayToPublicDate":"2020-09-22T09:39:11","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1092","displayTitle":"Observed and Modeled Mercury and Dissolved Organic Carbon Concentrations and Loads at Control Structure S-12D, Florida Everglades, 2013–17","title":"Observed and modeled mercury and dissolved organic carbon concentrations and loads at control structure S-12D, Florida Everglades, 2013–17","docAbstract":"<p>Mercury (Hg) has been a contaminant of concern for several decades in South Florida, particularly in the Florida Everglades. The transport and bioavailability of Hg in aquatic systems is intimately linked to dissolved organic carbon (DOC). In aquatic systems, Hg can be converted to methylmercury (MeHg), which is the form of Hg that bioaccumulates in food webs. The bioaccumulation of MeHg poses significant health risks to wildlife and humans. Fish consumption advisories triggered by elevated Hg levels first appeared in the 1980s in South Florida. Multiple structures regulate freshwater distribution to Everglades National Park, including S-12D. This report summarizes seasonal and annual concentration and load data from late September 2013 to April 2017 for the total of (1) filter-passing total mercury (FTHg), (2) filter-passing methylmercury (FMeHg), (3) particulate total mercury (PTHg), (4) particulate methylmercury (PMeHg) and, (5) DOC discharged through control structure S-12D. The loads of Hg fractions and DOC at control structure S-12D were determined by pairing discharge data with constituent concentrations estimated by empirical models based on surrogate in situ water-quality measurements.</p><p>Calculated concentrations of DOC ranged from 12.8 milligrams per liter (mg/L) to 27.9 mg/L with a mean of 18.8 mg/L during the study period. Annual loads of DOC ranged from 3,950 tons in 2015 to 10,900 tons in 2016. DOC loads increased linearly with an increase in flow, and the highest monthly DOC load of 1,630 tons was observed in February 2016.</p><p>Calculated concentrations of FTHg ranged from 0.35 to 1.55 nanograms per liter (ng/L) with a mean of 0.85 ng/L during the study period. Calculated concentrations of FMeHg ranged from 0.06 ng/L to 0.24 ng/L with a mean of 0.14 ng/L during the study period. Generally, FTHg and FMeHg con­centrations were lower during periods of decreased flow and higher during periods of increased flow. Calculated PTHg concentrations ranged from 0.09 ng/L to 4.19 ng/L with a mean of 0.58 ng/L during the study period. Calculated PMeHg concentrations ranged from below the limit of detection &lt;0.01 ng/L to 0.29 ng/L with a mean of 0.03 ng/L during the study period.</p><p>Loads of Hg were often zero or lowest from November to May, owing to the lack of flow or low-flow conditions. FTHg and FMeHg loads increased linearly with an increase in flow and typically were highest from June to October. During periods of increasing flow or following changes in gate operations, PTHg and PMeHg constituted a greater percentage of the total Hg load. Annual loads of total Hg (filter-passing and particulate) ranged from 254 grams in 2015 to 658 grams in 2016. FTHg was the predominant contributor to the total Hg load. Information presented herein provides the first assessment of DOC and Hg loads to Everglades National Park through control structure S-12D using continuous in situ measurements of discharge and constituent surrogates and compares the sur­rogate model approach to loads calculated from monthly sam­pling. Analysis of calculated and observed loads demonstrates the significance of flow data on calculating constituent loads.</p><p><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201092","collaboration":"Greater Everglades Priority Ecosystem Studies Program","usgsCitation":"Booth, A.C., Poulin, B.A., and Krabbenhoft, D.P., 2020, Observed and modeled mercury and dissolved organic carbon concentrations and loads at control structure S-12D, Florida Everglades, 2013–17: U.S. Geological Survey Open-File Report 2020–1092, 27 p., https://doi.org/10.3133/ofr20201092.","productDescription":"Report: vi, 27 p.;  Appendixes; Data Release","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-091616","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":436782,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MXYRBR","text":"USGS data release","linkHelpText":"Please Deprecate"},{"id":378614,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1092/ofr20201092_appendix5.pdf","text":"Appendix 5","size":"379 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1092 Appendix 5","linkHelpText":"— Model Archive Summary for Particulate Methylmercury Concentrations at Station 254543080405401: Tamiami Canal at S-12D Near Miami, Florida"},{"id":378608,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1092/coverthb.jpg"},{"id":378609,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1092/ofr20201092.pdf","text":"Report","size":"4.90 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1092"},{"id":378610,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1092/ofr20201092_appendix1.pdf","text":"Appendix 1","size":"457 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1092 Appendix 1","linkHelpText":"— Model Archive Summary for Dissolved Organic Carbon Concentrations at Station 254543080405401: Tamiami Canal at S-12D Near Miami, Florida"},{"id":378611,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1092/ofr20201092_appendix2.pdf","text":"Appendix 2","size":"535 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1092 Appendix 2","linkHelpText":"— Model Archive Summary for Filtered Mercury Concentrations at Station 254543080405401: Tamiami Canal at S-12D Near Miami, Florida"},{"id":378616,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1092/ofr20201092_appendixes_1to5_RTF.zip","text":"Appendixes 1 –5 in rtf format","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2020–1092 Appendixes 1 – 5"},{"id":378617,"rank":10,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99L01UW","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Calculated mercury and carbon concentrations, USGS station 254543080405401: Tamiami Canal at S-12D Near Miami, Florida, 2013–2017"},{"id":378615,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1092/ofr20201092_appendixes_1to5_PDF.zip","text":"Appendixes 1 –5 in pdf format","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2020–1092 Appendixes 1 – 5"},{"id":378612,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1092/ofr20201092_appendix3.pdf","text":"Appendix 3","size":"481 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1092 Appendix 3","linkHelpText":"— Model Archive Summary for Filtered Methylmercury Concentrations at Station 254543080405401: Tamiami Canal at S-12D Near Miami, Florida"},{"id":378613,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1092/ofr20201092_appendix4.pdf","text":"Appendix 4","size":"408 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1092 Appendix 4","linkHelpText":"— Model Archive Summary for Particulate Mercury Concentrations at Station 254543080405401: Tamiami Canal at S-12D Near Miami, Florida"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.86187744140625,\n              25.085598897064752\n            ],\n            [\n              -80.3045654296875,\n              25.085598897064752\n            ],\n            [\n              -80.3045654296875,\n              26.33280692289788\n            ],\n            [\n              -81.86187744140625,\n              26.33280692289788\n            ],\n            [\n              -81.86187744140625,\n              25.085598897064752\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www2.usgs.gov/water/caribbeanflorida/index.html\" href=\"https://www2.usgs.gov/water/caribbeanflorida/index.html\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br> 4446 Pet Lane, Suite 108 <br>Lutz, FL 33559</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Study Methods</li><li>Analyses of Field and Laboratory Measurements</li><li>Channel Cross-Sectional Variability</li><li>Empirical Models</li><li>Dissolved Organic Carbon Concentrations and Loads</li><li>Mercury Concentrations and Loads</li><li>Comparison of Observed Loads to Calculated Loads</li><li>Comparison of Traditional Discrete Sampling to Surrogate Approach</li><li>Summary and Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Appendixes 1–5</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-09-22","noUsgsAuthors":false,"publicationDate":"2020-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Booth, Amanda 0000-0002-2666-2366 acbooth@usgs.gov","orcid":"https://orcid.org/0000-0002-2666-2366","contributorId":5432,"corporation":false,"usgs":true,"family":"Booth","given":"Amanda","email":"acbooth@usgs.gov","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poulin, Brett A. 0000-0002-5555-7733 bpoulin@usgs.gov","orcid":"https://orcid.org/0000-0002-5555-7733","contributorId":4360,"corporation":false,"usgs":true,"family":"Poulin","given":"Brett","email":"bpoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":799299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":799300,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}