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This U.S. Geological Survey (USGS) Data Release provides spatial water-quality data collected from Milford Lake, Kansas, on May 26, June 9, July 14, July 21, and September 15, 2016. All data are reported as raw measured values and are not rounded to USGS significant figures. Continuous water-quality monitors were used to measure water temperature, specific conductance, turbidity, pH, chlorophyll, phycocyanin, dissolved oxygen, and fluorescent dissolved organic matter (fDOM) at thirty-second intervals at depths of 0.5- and 1.5-meters throughout the lake.
This project designed a monitoring program and protocol to detect the effects of climate change on tidal marsh bird population abundance and distribution. It is a companion to “Tidal Marsh Bird Population and Habitat Assessment for San Francisco Bay under Future Climate Change Conditions” and will build on its products, enabling evaluation of the long-term viability of four tidal-marsh bird species threatened by impacts of climate change: Clapper Rail, Black Rail, Common Yellowthroat, and Song Sparrow (three endemic subspecies: San Pablo, Suisun, and Alameda). Information is available through the California Avian Data Center. See also: http://data.prbo.org/apps/sfbslr/index.php?page=lcc-page
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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This U.S. Geological Survey (USGS) Data Release provides velocity test data for assessing the effect of salinity tolerance on cyanobacteria associated with a harmful algal bloom in Lake Okeechobee, Florida, July 10 to 13, 2017. All data are reported as raw measured values and are not rounded to USGS significant figures. Water and algal bloom material were collected from Lake Okeechobee, Florida on July 7, 2017. This dataset includes continuous water-quality measurements take in the laboratory July 10 to July 13, 2017 measuring water temperature, specific conductance, salinity, pH, turbidity, dissolved oxygen, chlorophyll, and phycocyanin at five-minute intervals at velocities of 0.946, 0.271, and 0 feet per second...
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This U.S. Geological Survey (USGS) data release provides continuously-measured water-quality data collected from two sites on Milford Lake, Kansas, during July 26-27 and August 30-31, 2015. All data are reported as raw measured values and are not rounded to USGS significant figures. Water-quality monitors were used to measure water temperature, specific conductance, turbidity, pH, chlorophyll, phycocyanin, and dissolved oxygen at fifteen-minute intervals. This dataset includes all continuously measured data collected at two short-term, fixed-site locations as part of a study to evaluate the spatial variability of harmful algal blooms in Milford Lake, Kansas.
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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Flight Observation Units, also referred to as Bear Observation Areas (BOAs), were delineated by the Interagency Grizzly Bear Study Team (IGBST) to facilitate systematic aerial monitoring of the grizzly bear population within the Greater Yellowstone Ecosystem. Flight units were last updated in 2014 to depict 54 distinct observation areas spanning the spatial extent of the Demographic Monitoring Area established for the Yellowstone grizzly bear population.
This project developed a foundation for monitoring environmental change by identifying where and what to monitor in order to evaluate climate-change impacts. Phase 1 focused on landbirds, however a framework will be developed that recommends standardized monitoring for other taxa and environmental attributes. Phase II Deliverables produced as part of this proposed work include a Business Plan that 1) refines site selection by developing a decision model in combination with analyses of sites (or clusters of sites) arrayed by climate space, 2) works with the LCC science committee, Joint Ventures, and other partners to choose a manageable number of core monitoring variables, 3) develops and/or adopting existing protocols...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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This U.S. Geological Survey (USGS) data release provides spatial water-quality data collected from Milford Lake, Kansas, on July 27 and August 31, 2015. All data are reported as raw measured values and are not rounded to USGS significant figures. Continuous water-quality monitors were used to measure water temperature, specific conductance, turbidity, pH, chlorophyll, phycocyanin, dissolved oxygen, fluorescent dissolved organic matter (fDOM), and nitrate (only collected at 1.0-meter depth) at thirty-second intervals at depths of 0.5-, 1.0-, and 1.5-meters throughout the lake.
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This U.S. Geological Survey (USGS) Data Release provides spatial water-quality data collected from Indian Creek in Johnson County, Kansas, on May 23, 2013, July 23, 2014, July 30, 2015, and August 26, 2015. Continuous water-quality monitors were used to measure water temperature, specific conductance, pH, turbidity, dissolved oxygen, chlorophyll, phycocyanin, nitrate, and fluorescent dissolved organic matter (fDOM) at 30-second intervals along a 13.3-kilometer reach of Indian Creek. This data release was produced in compliance with the federal open-data requirements as a way to make scientific products associated with USGS research efforts and publications available to the public. This dataset includes all continuously...
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This U.S. Geological Survey (USGS) Data Release provides spatial water-quality data collected from John Redmond Reservoir in Coffey County, Kansas, on October 7, 2014, August 13, 2015, and April 25, 2016. All data are reported as raw measured values and are not rounded to USGS significant figures. Continuous water-quality monitors were used to measure water temperature, specific conductance, turbidity, pH, dissolved oxygen, chlorophyll, phycocyanin, and nitrate at thirty-second intervals.
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This U.S. Geological Survey (USGS) Data Release provides continuously-measured water-quality data collected from two sites on Milford Lake, Kansas, during May 25-26, June 8-10, July 20-21, and September 14-15, 2016. All data are reported as raw measured values and are not rounded to USGS significant figures. Water-quality monitors were used to measure water temperature, specific conductance, turbidity, pH, chlorophyll, phycocyanin, dissolved oxygen, and fluorescent dissolved organic matter (fDOM) at fifteen-minute intervals. This dataset includes all continuously measured data collected at two short-term, fixed-site locations as part of a study to evaluate the spatial variability of harmful algal blooms in Milford...
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This U.S. Geological Survey (USGS) Data Release provides continuously measured water-quality data collected from four Indian Creek sites in Johnson County, Kansas during July 22-25, 2014 and August 21-27, 2015. Water-quality monitors were used to measure water temperature, dissolved oxygen, pH, specific conductance, turbidity, chlorophyll, phycocyanin, and nitrate at fifteen-minute intervals. This data release was produced in compliance with the federal open-data requirements as a way to make scientific products associated with USGS research efforts and publications available to the public. This dataset includes all continuously-measured data collected at short-term fixed site locations as part of a study to describe...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....


    map background search result map search result map Spatial water-quality data for Indian Creek, Johnson County, Kansas, May 23, 2013, July 23, 2014, July 30, 2015, and August 26, 2015 Water-quality data from four Indian Creek sites, Johnson County, Kansas, July 22-25, 2014 and August 21-27, 2015 Milford Lake, Kansas, spatial water-quality data, July 27 and August 31, 2015 Water-quality data from two sites on Milford Lake, Kansas, July 26-27 and August 30-31, 2015 FSA 10:1 NAIP Imagery m_4712037_ne_10_1_20150706_20151102 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4712037_nw_10_1_20150706_20151102 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4712037_se_10_1_20150706_20151102 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4712037_sw_10_1_20150706_20151102 3.75 x 3.75 minute JPEG2000 from The National Map Water-quality data from two sites on Milford Lake, Kansas, May 25-26, June 8-10, July 20-21, and September 14-15, 2016 Milford Lake, Kansas spatial water-quality data, May 26, June 9, July 14, July 21, and September 15, 2016 Flight Observation Units for Monitoring the Yellowstone Grizzly Bear Population Spatial water-quality data for John Redmond Reservoir, Coffey County, Kansas, October 7, 2014, August 13, 2015, and April 25, 2016 USGS 1:24000-scale Quadrangle for Monitor, WA 1966 USGS 1:24000-scale Quadrangle for Monitor, WA 1966 USGS 1:24000-scale Quadrangle for Monitor, WA 1966 USGS 1:24000-scale Quadrangle for Monitor, WA 2003 Velocity test data for assessing the effect of salinity tolerance on cyanobacteria associated with a harmful algal bloom in Lake Okeechobee, Florida, July 10 to 13, 2017 FSA 10:1 NAIP Imagery m_4712037_ne_10_1_20150706_20151102 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4712037_nw_10_1_20150706_20151102 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4712037_se_10_1_20150706_20151102 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4712037_sw_10_1_20150706_20151102 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Monitor, WA 1966 USGS 1:24000-scale Quadrangle for Monitor, WA 1966 USGS 1:24000-scale Quadrangle for Monitor, WA 1966 USGS 1:24000-scale Quadrangle for Monitor, WA 2003 Spatial water-quality data for John Redmond Reservoir, Coffey County, Kansas, October 7, 2014, August 13, 2015, and April 25, 2016 Milford Lake, Kansas, spatial water-quality data, July 27 and August 31, 2015 Water-quality data from two sites on Milford Lake, Kansas, May 25-26, June 8-10, July 20-21, and September 14-15, 2016 Milford Lake, Kansas spatial water-quality data, May 26, June 9, July 14, July 21, and September 15, 2016 Spatial water-quality data for Indian Creek, Johnson County, Kansas, May 23, 2013, July 23, 2014, July 30, 2015, and August 26, 2015 Water-quality data from four Indian Creek sites, Johnson County, Kansas, July 22-25, 2014 and August 21-27, 2015 Velocity test data for assessing the effect of salinity tolerance on cyanobacteria associated with a harmful algal bloom in Lake Okeechobee, Florida, July 10 to 13, 2017 Flight Observation Units for Monitoring the Yellowstone Grizzly Bear Population