Summary

Description

The orthoimages were mosaicked and reprojected by the USGS from the original 2-foot pixel, West Virginia North and South State Plane (feet) Coordinate Systems to Universal Transverse Mercator (UTM) (meters), Zone 17, NAD83 datum. Each orthoimage (DOQQ) provides the equivalent to a quarter of a 7.5-minute map (3.75 minutes of latitude and longitude) with overedge. The overedge is approximately 300 meters beyond the extremes of the corners of coverage. The naming convention is based on the U.S. Geological Survey 1:24,000 Topographic Map Series with the quadrant abbreviation, i.e. athens_ne.tif, etc. This data set covers the entire state of West Virginia including into UTM zone 18 on the east edge.

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Description

The Climate Prediction Center (CPC) issues 6 to 10 day probabilistic temperature outlooks for the United States. The 6-10 day Outlook gives the confidence that a forecaster has, given as a probability, that the observed temperature, averaged over upcoming days 6, 7, 8, 9, and 10 will be in the range of one of three possible categories below (B), normal (N), or above (A). For any calendar 5-day period, these categories can be defined by separating the 30 years of the climatology period, 1981-2010 (30 years), into the coldest 10 years, the middle 10 years, and the warmest 10 years. Because each of these categories occurs 1/3 of the time (10 times) during 1981-2010, for any particular calendar 5-day period, the probability of any category being selected at random from the 1981-2010 set of 30 observations is one in three (1/3), or 33.33%. This is also called the climatological probability. The sum of the climatological probabilities of the three categories is 100%.

Summary

Description

This part of SIM 3302 presents data for the geologic and geomorphic map (see sheet 10, SIM 3302) of the Offshore of Coal Oil Point map area, California. The vector data file is included in "Geology_OffshoreCoalOilPoint.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html. The offshore part of the Offshore of Coal Oil Point map area largely consists of a gently offshore-dipping (less than 1 degree) shelf underlain by sediments derived primarily from relatively small coastal watersheds that drain the Santa Ynez Mountains. Shelf deposits are primarily sand (Qms) at depths less than about 35 to 50 m, and they are finer grained sediment such as very fine sand, silt, and clay (Qmsf) from depths of 35 to 50 m southward to the shelf break at a depth of about 90 m. The boundary between units Qms and Qmsf is based on observations and extrapolation from sediment sampling (see, for example, Reid and others, 2006) and camera ground-truth surveying. It is important to note that the boundary between units Qms and Qmsf should be considered transitional and approximate and is expected to shift as a result of seasonal- to annual- to decadal-scale cycles in wave climate, sediment supply, and sediment transport. Fine-grained deposits that are similar to unit Qmsf also are mapped at water depths greater than 90 m, below the shelf break on the upper slope; however, here they are identified as a separate unit (unit Qmsl) because of their location below the distinct shelf-slope geomorphologic break. Coarser grained, marine deposits (coarse sand to boulders) of units Qmsc, Qmscl, and Qsc are recognized on the basis of their high acoustic backscatter, their ground-truth-survey imagery, and, in some cases, their moderate seafloor relief. This coarse-grained facies is linked either to the mouths of steep coastal watersheds or to adjacent seafloor bedrock outcrops, and the deposits generally represent wave-winnowed lags of deltaic sediment. Two distinct lobes of coarse-grained sediment (unit Qmscl), present in deeper water (about 50 m) near the west edge of the map area, may similarly represent winnowed deltaic deposits that formed at lower sea levels during the latest Pleistocene or early Holocene. An isolated patch of clast-supported cobbles (unit Qsc), which rests on bedrock south of Coal Oil Point at a water depth of 70 m, also may have been deposited at lower sea levels during the late Pleistocene. Offshore bedrock exposures are mapped as either the Miocene Monterey Formation (Tm, Tmu, Tmm), the late Miocene and early Pliocene Sisquoc Formation (Tsq), or the undivided Quaternary and Tertiary bedrock (QTbu) or undivided Tertiary bedrock (Tbu) units on the basis of the confidence in extending the onshore mapping of Minor and others (2009) offshore. Midshelf to outer shelf bedrock exposures are all mapped as undivided units; however, offshore sampling data (see, for example, Kunitomi and others, 1998), as well as regional cross sections that are constrained by petroleum exploration data and sampling (Redin, 2005; Redin and others, 2005), have suggested that these seafloor outcrops predominantly are late Miocene and Pliocene strata. These rocks have been uplifted in a large, regional, internally warped, south-dipping homocline that formed above the blind, north-dipping Pitas Point-North Channel Fault system; the fault tip is inferred to lie beneath the continental slope, about 6 to 7 km offshore. Bedrock is, in some places, overlain by a thin (less than 1 m?) veneer of sediment, recognized on the basis of high backscatter, flat relief, continuity with moderate- to high-relief bedrock outcrops, and (in some cases) high-resolution seismic-reflection data; these areas, which are mapped as composite units Qms/Tu, Qms/Tsq, Qms/Tmu, Qms/Tmm, Qms/Tm, Qms/Tbu, or Qmsf/QTbu, are interpreted as ephemeral sediment layers that may or may not be continuously present, whose presence or absence is a function of the recency and intensity of storm events, seasonal and (or) annual patterns of sediment movement, or longer term climate cycles. The Offshore of Coal Oil Point map area includes the upper part of the large (130 km2), well-documented submarine Goleta landslide complex (Eichhubl and others, 2002; Fisher and others, 2005; Greene and others, 2006). Greene and others (2006) reported that the complex, which measures 14.6 km long and 10.5 km wide and extends from water depths of 90 to 574 m, has displaced about 1.75 km3 of landslide debris during the Holocene; they described it as a compound, multiphase submarine landslide that contains both surficial slump blocks and mud flows, in three distinct segments (west, central, and east lobes). Each segment consists of a distinct headwall scarp (units Qglwh, Qglch, Qgleh), a downdropped head block (units Qglwb, Qglcb, Qgleb), and several composite slide-debris lobes (units Qglw5, Qfglw4, Qglw3, Qglw2, Qglw1, Qglc4, Qglc3, Qglc2a, Qglc2, Qfle5, Qgle4, Qgle3, Qgle2). The geologic map geomorphic map on sheet 10 (SIM 3302) shows the upper approximately 3 km of this landslide complex; in addition, the seismic-reflection profile SB-145 (fig. 3 on sheet 8, SIM 3302), which crosses the east lobe of the landslide complex, illustrates its subsurface characteristics. The landslide source is inferred to be Pleistocene-age, shelf-edge deltaic sediments deposited during Quaternary sea-level lowstands, and Fisher and others (2005) suggested that the youngest landslides formed about 8,000 to 10,000 years ago. The Santa Barbara Channel region, including the map area, has a long history of petroleum production (Barnum, 1998) that began in 1928 with discovery of the Ellwood oil field. Subsequent discoveries in the offshore part of the map area include the South Ellwood offshore oil field, the Coal Oil Point oil field, and the Naples oil and gas field (Brickey, 1998; Galloway, 1998). Oil and gas are mainly sourced by the Miocene Monterey Formation; the reservoirs are in the Vaqueros Formation, the Rincon Shale, and the Monterey Formation. Development of the South Ellwood offshore oil field began in 1966 from platform "Holly," which was the last platform to be installed in California's State Waters. Debris and infrastructure associated with platform "Holly," as well as with seep containment devices ("seep tents"), are mapped as unit pd. Hornafius and others (1999) described "the world's most spectacular marine hydrocarbon seeps" in the Coal Oil Point map area, and these seeps release an estimated 36 metric tons of methane and 17 metric tons reactive organic gas (ethane, propane, butane, and higher hydrocarbons) per day. Areas of grouped to solitary pockmarks (unit Qmp) caused by gas seeps are common features. In addition, numerous asphalt (tar) deposits (unit Qas) associated with hydrocarbon seeps and gas vents are mapped both onshore and offshore. The offshore deposits, which have been confirmed with seafloor video observations, often are localized along bedrock structures such as faults or the crests of anticlines, forming bathymetric features that are morphologically similar to bedrock outcrops but are distinguished from them on the basis of their low acoustic backscatter. Although many such asphalt deposits are too small to be shown on the map, the larger deposits can cover as much as several hundred square meters. References Cited: Barnum, H.P., 1998, Redevelopment of the western portion of the Rincon offshore oil field, Ventura, California, in Kunitomi, D.S., Hopps, T.E., and Galloway, J.M., eds., Structure and petroleum geology, Santa Barbara Channel, California: American Association of Petroleum Geologists, Pacific Section, and Coast Geological Society, Miscellaneous Publication 46, p. 201-215. Brickey, M.R., 1998, Oil and gas fields of the Santa Barbara Channel area, in Kunitomi, D.S., Hopps, T.E., and Galloway, J.M., eds., Structure and petroleum geology, Santa Barbara Channel, California: American Association of Petroleum Geologists, Pacific Section, and Coast Geological Society, Miscellaneous Publication 46, preface (2 p.). Eichhubl, P., Greene, H.G., and Maher, N., 2002, Physiography of an active transpressive margin basin--High-resolution bathymetry of the Santa Barbara basin, southern California continental borderland: Marine Geology, v. 184, p. 95-120. Fisher, M.A., Normark, W.R., Greene, H.G., Lee, H.J., and Sliter, R.W., 2005, Geology and tsunamigenic potential of submarine landslides in Santa Barbara Channel, southern California: Marine Geology, v. 224, p. 1-22. Galloway, J., 1998, Chronology of petroleum exploration and development in the Santa Barbara Channel area, offshore southern California, in Kunitomi, D.S., Hopps, T.E., and Galloway, J.M., eds., Structure and petroleum geology, Santa Barbara Channel, California: American Association of Petroleum Geologists, Pacific Section, and Coast Geological Society, Miscellaneous Publication 46, p. 1-12, 1 sheet. Greene, H.G., Murai, L.Y., Watts, P., Maher, N.A., Fisher, M.A., and Eichhubl, P., 2006, Submarine landslides in the Santa Barbara channel as potential tsunami sources: Natural Hazards and Earth System Sciences, v. 6, p. 63-88. Hornafius, J.S., Quigley, D.C., and Luyendyk, B.P., 1999, The world's most spectacular marine hydrocarbon seeps (Coal Oil Point, Santa Barbara Channel, California)--Quantification of emissions: Journal of Geophysical Research - Oceans, v. 104, p. 20,703-20,711. Kunitomi, D.S., Hopps, T.E., and Galloway, J.M., eds., 1998, Structure and petroleum geology, Santa Barbara Channel, California: American Association of Petroleum Geologists, Pacific Section, and Coast Geological Society, Miscellaneous Publication 46, 328 p. Minor, S.A., Kellogg, K.S., Stanley, R.G., Gurrola, L.D., Keller, E.A., and Brandt, T.R., 2009, Geologic map of the Santa Barbara coastal plain area, Santa Barbara County, California: U.S. Geological Survey Scientific Investigations Map 3001, scale 1:25,000, 1 sheet, pamphlet 38 p., available at http://pubs.usgs.gov/sim/3001. Redin, T., 2005, Santa Barbara Channel structure and correlation sections--Correlation Section no. 36, N-S structure and correlation section, western Santa Ynez Mountains across the Santa Barbara Channel to Santa Rosa Island: American Association of Petroleum Geologists, Pacific Section, Publication CS 36, 1 sheet. Redin, T., Kamerling, M., and Forman, J., 2005, Santa Barbara Channel structure and correlation sections--Correlation Section no. 35, North Ellwood-Coal Oil Point area across the Santa Barbara Channel to the north coast of Santa Cruz Island: American Association of Petroleum Geologists, Pacific Section, Publication CS 35, 1 sheet. Reid, J.A., Reid, J.M., Jenkins, C.J., Zimmerman, M., Williams, S.J., and Field, M.E., 2006, usSEABED--Pacific Coast (California, Oregon, Washington) offshore surficial-sediment data release: U.S. Geological Survey Data Series 182, available at http://pubs.usgs.gov/ds/2006/182/.

Summary

Description

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the State Plane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

Summary

Description

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the State Plane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

Summary

Description

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.

Summary

Description

The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).

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The Poverty and Food Security Case Studies dataset consists of small area estimates of poverty, inequality, food security and related measures for subnational administrative units in Mexico, Ecuador, Kenya, Malawi, Bangladesh, Sri Lanka, Nigeria and Vietnam. These data come from country level cases studies that examine poverty and food security from a spatial analysis perspective. The data products include shapefiles (vector data) and tabular datasets (csv format). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) and the Centro Internacional de Agricultura Tropical (CIAT). The dataset was originally produced by CIAT, International Maize and Wheat Improvement Center (CIMMYT), International Livestock Research Institute (ILRI), International Food Policy Research Institute (IFPRI), International Rice Research Institute (IRRI), International Water Management Institute (IWMI), and International Institute for Tropical Agriculture (IITA). (Suggested Usage: To provide high spatial resolution subnational estimates of poverty and food security for use by a wide community for interdisciplinary studies of poverty, food security and the environment.)

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Description

The Mobile Source Observation Database (MSOD) is a relational database being developed by the Assessment and Standards Division (ASD) of the US Environmental Protection Agency Office of Transportation and Air Quality (formerly the Office of Mobile Sources). The MSOD contains emission test data from in-use mobile air- pollution sources such as cars, trucks, and engines from trucks and nonroad vehicles. Data in the database was collected from 1982 to the present. The data is intended to be representative of in-use vehicle emissions in the United States.

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Enterprise Voice over IP (E-VOIP) provides telephone services.

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Survey data includes spatial datasets and data tables necessary to digitally represent data collected in the survey phase of the study. (Source: FEMA Guidelines and Specs, Appendix N)

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Advancements in sensors/detectors are needed to support future NASA mission concepts including polarimetry, large format imaging arrays, and high-sensitivity spectroscopy. The corresponding data acquisition systems must employ high-speed, extra low power, linear analog-to-digital converters (ADCs) featuring a wide input bandwidth and reasonable effective number of bits, followed by a digital signal processor usually implemented inside a field-programmable gate array with a relatively low-speed data interface. In addition, radiation tolerance represents one of the main requirements for the space-oriented electronics. Commercially available ADCs feature high power consumption, high latency, poor linearity, and low radiation tolerance at high input bandwidths above 1GHz. To address the described needs, we propose a novel, low-power, high input bandwidth, radiation-tolerant, under sampling ADC with an output digital demultiplexer that enables direct data loading into a standard FPGA. Wide input bandwidth, low input return loss, 6-bit accuracy, low distortion and power consumption will be achieved through utilization of a proprietary adaptive matching filter and dual-output sample-and-hold amplifier followed by two reduced-rate ADCs. The digitized signals are delivered to the proprietary low-power LVDS output buffers after rate adjustment and realignment to the selected clock signal. Advanced technology featuring heterojunction bipolar transistors will provide the required radiation tolerance.

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The Find Shortage Areas: Health Professional Shortage Area (HPSA) and Medically Underserved Area/Population (MUA/P) by Address tool is a locator tool designed to help our users determine if a specific address is located in a Primary Care HPSA, Mental Health HPSA, Dental Care HPSA, and/or MUA/P. These HPSAs and MUA/Ps are those areas designated by HRSA with the in greatest need for health care, those areas having: shortages of primary medical care, dental or mental health providers, low income populations, high infant mortality, high poverty population, high elderly population. The returned search results provide indications of whether the address is in a Primary Care HPSA, Mental Health HPSA, Dental Care HPSA, and MUA/P; state name; county name; county subdivision name; Census Tract Number; ZIP Code; post office name; congressional district; congressional district representative; and a map identifying the entered address. The interface makes available three other locator tools (HPSA by State and County; HPSAs Eligible for the Medicare Physician Bonus Payment; and MUA/P by State and County).

Summary

Description

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Universal Transverse Mercator Coordinate System (ZONE 17N) and Lambert Conformal conic projection. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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The Apparent Wilcox Group thickness maps are contoured from location and top information derived from the Petroleum Information (PI) Wells database. The Wilcox apparent thickness map was constructed by searching for Wilcox and Midway Group tops. Apparent thickness is computed by subtracting Midway top from the Wilcox top. Geographic control is superimposed on the maps from USGS state line, county, elevation and other data files. The veracity of the PI Wells database is being checked by comparison to published cross sections and geologic maps. Interpretation of the depth to Wilcox and apparent thickness maps along with published measured sections and cross sections indicates that portions of Texas, Louisiana, Mississippi and Alabama contain broad areas where a 20 to 40 foot net thickness of lignite and coal occur at shallow depths. The thicker coal zones are attributed to growth faulting or rift zones influencing peat deposition. The depth to Wilcox map shows several areas where dome-like uplifts and bench-like coal-bearing rock are buried to depths less than 5,000 ft.

Summary

Description

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Universal Transverse Mercator Coordinate System (ZONE 18N) and Lambert Conformal conic projection.F The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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Social Security Trust Fund data on the amount of investments held at the end of the month by type of security, interest rate, and maturity date.

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Description

The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).

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Description

Temperature profile data were collected using bottle casts in the Black Sea from the YANTAR and others. Data were collected from 27 June 1980 to 15 July 2000. Data were submitted by the Marine Hydrophysical Institute (MHI) with support from the Global Ocean Data Archaeology Rescue (GODAR) project.

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Description

Earth Eye collected LiDAR data for approximately 1,703 square kilometers that partially cover the Connecticut counties of Litchfield and Fairfield. The nominal pulse spacing for this project was no greater than 1 point every 0.7 meters. Dewberry used proprietary procedures to classify the LAS according to project specifications: 1-Unclassified, 2-Ground, 7-Noise, 9-Water, 12-Overlap. Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro flattened DEMs for the 1,742 tiles (1000 m x 1000 m) that cover the project area.

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Description

The Eastern Pacific Redox Experiment (EPREX) took place 24 May to 28 June 2000 on the R/V Roger Revelle. The first station was at the Hawaii Ocean Time Series "station ALOHA", 60 miles north of Oahu, Hawaii. The remaining five stations were spread along roughly 15N from 150W to 98W, near the Mexican coast. In addition to CTD data, various water chemistry parameters were aquired over multiple casts at each station down to about 2000 meters.

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GLOBEC (GLOBal Ocean ECosystems Dynamics) NEP (Northeast Pacific) Northern California Current Cetacean Survey Data from R/V New Horizon cruises NH0005 and 0007. Line-transect surveys of cetaceans were conducted during two cruises of the GLOBEC Northeast Pacific Northern California Current (NCC) program in 2000: May 29 -June 13 and July 27 - August 12. Surveys were conducted across the shelf and slope off Oregon and northern California (41.9 - 44.65N) from the coast to ~125.5W. Surveys were conducted in passing mode while the R/V New Horizon was in transit between stations for hydrographic and zooplankton sampling. Observations were conducted from the flying bridge during daylight (~0600 to 2030) whenever sufficient visibility (i.e., > 2 nm) and weather (i.e., < Beaufort 6) allowed. Two observers simultaneously surveyed to the horizon with 25 x 150 binoculars, equipped with compass and reticle. Each observer surveyed a 100 degree arc from 10 degrees off the bow (opposite side) to 90 degrees on their side of the ship. A third observer focused on the track-line by eye, aided with 7 x 50 hand-held binoculars. Sightings were entered immediately on a laptop computer connected to the ship's GPS system. Positions of all sightings were corrected to reflect the actual location of the cetaceans, rather than the ship's position. The height from the surface of the water to the eyes of observers on the 25 x 150 binoculars was 10.87 m. For more information, see: http://cis.whoi.edu/science/bcodmo/dataset.cfm?id=10055&flag=view or http://globec.whoi.edu/jg/info/globec/nep/ccs/cetaceans%7Bdir=globec.whoi.edu/jg/dir/globec/nep/ccs/,data=globec.whoi.edu/jg/serv/globec/nep/ccs/cetaceans.html0%7D Contact PIs: Cynthia T. Tynan, ctynan@whoi.edu, Woods Hole Oceanographic Institution David G. Ainley, dainley@penguinscience.com, H.T. Harvey & Associates

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The Number of Uninsured People for Outreach Targeting

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This table shows the total American Recovery and Reinvestment Act expenditures in regards to Food and Nutrition Service programs and benefits.

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This metadata is for the 2006 accuracy assessment points (spatial database) created from the sample points collected at San Antonio Missions National Historical Park.