Pico Sim Date 3 Full Version =LINK=
Pico Sim Date 3 is a dating simulation game and the final installment of the series of Pico Sim Date by Moosh of Newgrounds. The story of the game revolves around a man who is starting as a freshman in a university. In this game, you have two primary goals; first is to meet and date girls, and second is to earn lots of money. Find ways to increase your balls, brains, charm and other statistics to impress a girl and achieve various tasks. Get a job to earn money and follow the specific requirements to get a promotion in your job. Use your money to improve your statistics faster or use it to buy gifts. Date every girl in the city and improve your relationship status. Achieve all the pictures of every girl in the city.
This field contains the representation rule in the ArcGIS file geodatabase which applies a solid color fill of a specified CMYK value to each polygon.Representation rules have the same name as the map unit abbreviation.Who produced the data set?Who are the originators of the data set? (may include formal authors, digital compilers, and editors)S.Y. JohnsonA.C. RitchieE.L. PhillipsWho also contributed to the data set?To whom should users address questions about the data?USGS Pacific Coastal & Marine Science Centerc/o Stephen HartwellGeologist400 Natural Bridges DriveSanta Cruz, CA 95060USA(831) 460-7814 (voice)(831) 427-4748 (FAX)firstname.lastname@example.orgWhy was the data set created?To expand geologic mapping to the seafloor within California's StateWaters, to update coastal geologic mapping, and to contribute to auniform regional geologic database. Additionally, to provide a geologicmap for the public and geoscience community to aid in assessments andmitigation of geologic hazards in the Santa Barbara coastal plain regionand to provide sufficient geologic information for land-use andland-management decisions both onshore and offshore.How was the data set created?From what previous works were the data drawn?SIM 3261 (sheets 1, 2) (source 1 of 4)Kvitek, Rikk G. , Dartnell, Peter, Phillips, Eleyne L. , and Cochrane, Guy R. , 2013, Bathymetry--Offshore of Carpinteria, California: Scientific Investigations Map SIM 3261 (sheets 1, 2), U.S. Geological Survey, Reston, VA.Online Links:Other_Citation_Details: See metadata ("Bathymetry_OffshoreCarpinteria_metadata.txt") for source data and postprocessing/reprocessing information.Type_of_Source_Media: digital file of gridded bathymetry data (ArcInfo GRID)Source_Contribution: Gridded bathymetry data (2-meter resolution).SIM 3261 (sheet 3) (source 2 of 4)Dartnell, Peter, Kvitek, Rikk G. , Phillips, Eleyne L. , and Cochrane, Guy R. , 2013, Backscatter A [CSUMB]--Offshore of Carpinteria, California: Scientific Investigations Map SIM 3261 (sheet 3), U.S. Geological Survey, Reston, VA.Online Links:Other_Citation_Details: See metadata ("BackscatterA_CSUMB_OffshoreCarpinteria_metadata.txt" for amplitude source data and postprocessing/reprocessing information.Type_of_Source_Media: digital file of gridded amplitude data (ArcInfo GRID)Source_Contribution: Gridded amplitude data (2-meter resolution).SIM 3261 (sheet 3) (source 3 of 4)Dartnell, Peter, Kvitek, Rikk G. , Phillips, Eleyne L. , and Cochrane, Guy R. , 2013, Backscatter B [USGS]--Offshore of Carpinteria, California: Scientific Investigations Map SIM 3261 (sheet 3), U.S. Geological Survey, Reston, VA.Online Links:Other_Citation_Details: See metadata ("BackscatterB_USGS_OffshoreCarpinteria_metadata.txt" for amplitude source data and postprocessing/reprocessing information.Type_of_Source_Media: digital file of gridded amplitude data (ArcInfo GRID)Source_Contribution: Gridded amplitude data (2-meter resolution).Sliter and others (2008) (source 4 of 4)Ray W. Sliter, Peter J. Triezenberg, Patrick E. Hart, 2008, High-resolution chirp and mini-sparker seismic-reflection data from the southern California continental shelf--Gaviota to Mugu Canyon: U.S. Geological Survey Open-File Report 2008-1246, U.S. Geological Survey, Reston, VA.Online Links:Type_of_Source_Media: seismic data files (.sgy files)ASCII lat/long shotpoint filesTIFF images of processed seismic linesSource_Contribution: Digital seismic data used to interpret subsurface geologic structureHow were the data generated, processed, and modified?Date: 2010 (process 1 of 2)Map unit polygons were digitized over underlying 2-meter base layers developed from multibeam bathymetry and backscatter data. Derivatives such as slope and curvature were generated from source rasters. Interpreted rasters include amplitude, hillshaded bathymetry (using various illumination angles and vertical exaggeration), slope, and curvature. Curvature was decomposed into profile and plan curvature for analysis purposes.Date: 2011 (process 2 of 2)The mapped area was extended to the shoreline by generating a DEM using U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program's lidar data collected in 2009 (U.S. Army Corps of Engineers, unpub. data), with gaps filled by data from Barnard and Hoover (2010). These elevation data were then used to generate a shoreline at the NAVD88 +1.33 m contour, defined as the operational MHW shoreline by Weber and others (2005). The resulting boundary was transformed to WGS 84 UTM Zone 11 North in ArcGIS 10 using the NAD83 to WGS84 (ITRF00) transformation algorithm. This boundary was then used to extend and trim both onshore and offshore geology in the print and PDF product. The transformed boundary is contained within the WGS84 "contacts" feature class and identified as a shoreline in the associated representation rules.Only data for offshore map units are released digitally in this publication. For onshore geology (sheet 10, SIM 3261), see Dibblee (1986), Tan and others (2003a,b), Tan and Clahan (2004), and Minor and others (2009).References Cited:Barnard, P.L., and Hoover, D., 2010, A seamless, high-resolution coastal digital elevation model (DEM) for southern California: U.S. Geological Survey Data Series 487, 8 p., and database, available at .Dibblee, T.W., Jr., 1986, Geologic map of the Carpinteria quadrangle, Santa Barbara County, California: Santa Barbara, Calif., Dibblee Geological Foundation Map DF-04, scale 1:24,000.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 .Tan, S.S., and Clahan, K.B., 2004, Geologic map of the White Ledge Peak 7.5' quadrangle, Santa Barbara and Ventura Counties, California--A digital database: California Geological Survey Preliminary Geologic Map, scale 1:24,000, available at .Tan, S.S., Jones, T.A., and Clahan, K.B., 2003a, Geologic map of the Ventura 7.5' quadrangle, Ventura County, California--A digital database: California Geological Survey Preliminary Geologic Map, scale 1:24,000, available at .Tan, S.S., Jones, T.A., and Clahan, K.B., 2003b, Geologic map of the Pitas Point 7.5' quadrangle, Ventura County, California--A digital database: California Geological Survey Preliminary Geologic Map, scale 1:24,000, available at .Weber, K.M., List, J.H., Morgan, K.L., 2005, An operational Mean High Water datum for determination of shoreline position from topographic lidar data: U.S. Geological Survey Open-File Report 2005-1027, available at .What similar or related data should the user be aware of?How reliable are the data; what problems remain in the data set?How well have the observations been checked?How accurate are the geographic locations?Polygons were primarily mapped by oneof the following methods: (1) interpretation of 2-meter-resolution hillshadedbathymetry data from bathymetric lidar and sonar surveys (see sheets 1 and 2,SIM 3261); (2) interpretation of 2-meter-resolution amplitude (backscatter)data from bathymetric sonar surveys (see sheet 3, SIM 3261);(3) interpretation of seismic-reflection-profile data (see sheet 8, SIM 3261).Map Unit contact locations were interpreted typically at a scale of between 1:1,000and 1:2,000 using the above base data. Bathymetric sonar and LiDAR data have ahorizontal accuracy greater than the resolution of the base data.Map unit contacts were digitized by heads-up screendigitization of line data on 2-meter-resolution DEMs described above. Horizontal accuracy isestimated to be between 2 and 5 meters depending on how clearly contacts can be resolved.Most digitized positions on the map are estimated to have better than 5 m horizontal accuracy.There is no elevation data in the database.How accurate are the heights or depths?Where are the gaps in the data? What is missing?Data are complete: no offshore features that could be accurately identified andrepresented at the compilation scale of 1:24,000 were eliminated orgeneralized. The smallest area represented is approximately 100 squaremeters. All geospatial database elements are attributed.How consistent are the relationships among the observations, including topology?Map elements were visually checked for overshoots,undershoots, duplicate features, polygon closure, and other errors by thelead authors and by the GIS technician(s) who created the digital database.Review drafts of the map were reviewed internally by at least two other geologists for consistencywith basic geologic principles and general conformity to USGS mappingstandards.How can someone get a copy of the data set?Are there legal restrictions on access or use of the data?Access_Constraints: If physical samples or materials are available, constraints on their on-site accessare described in "WR CMG Sample Distribution Policy" at URL:Use_Constraints: This information is not intended for navigational purposes.Read and fully comprehend the metadata prior to data use. Uses of thesedata should not violate the spatial resolution of the data. Wherethese data are used in combination with other data of different resolution, the resolution of the combined output will be limited by the lowest resolution of all the data.Acknowledge the U.S. Geological Survey in products derived from these data. Share data products developed using these data with the U.S. Geological Survey.This database has been approved for release and publication by the Director of the USGS. Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the United States Government may be held liable for any damages resulting from its authorized or unauthorized use.Although this Federal Geographic Data Committee-compliant metadata file is intended to document these data in nonproprietary form, as well as in ArcInfo format, this metadata file may include some ArcInfo-specific terminology.Who wrote the metadata?Dates:Last modified: 2013Metadata author:U.S. Geological Survey, Coastal and Marine Geology Programc/o Stephen R. Hartwell400 Natural Bridges DriveSanta Cruz, CA 95060-5792US831-460-7814 (voice)831-427-4748 (FAX)email@example.comMetadata standard: FGDC Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998) 2b1af7f3a8