Road Attributes in Colorado 2016

Road attributes including number of lanes, surface type, roughness factor, etc since 1970 from the Colorado Department of Transportation (CDOT).

Condition of Non-Tidal Wetlands

Includes all data collected to date about non-tidal wetland condition in Delaware. Data is collected in the field using the Delaware Rapid Assessment Procedure (DERAP).

Major Safety Events

This is a list of all Major Safety and Security Events from January of 2014 to the most recently published data within the Federal Transit Administration's major event time series.

USAID Construction Assessment, Subawards: Section 1

This dataset contains data on subwards identified in the survey of USAID construction carried out between June 1, 2011 to June 20 to learn about the character, scope, value and management of USAID supported construction activities. In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. The USAID construction assessment is a survey of the character, scope, value and management of construction activities supported by USAID during the period from June 1, 2011 to June 20, 2013.

2012 Richmond Community Survey Data

Public Crash Data

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="text-align:Justify;margin:0 0 0 0;"><SPAN><SPAN>The Delaware Department of Safety and Homeland Security (DSHS) is the official custodian of Delaware crash reports and is responsible for statewide crash data collection and dissemination. A crash report is a summary of information collected about a collision and is filled out by a Delaware law enforcement officer who is investigating the crash. The data contained on FirstMap and the Open Data Portal represents the best available information at DSHS and is not an official record of what transpired in a particular crash or for a particular crash type and does not contain personal information. This data is generated from crash reports and allows any member of the public to engage in interactive analysis and data exploration for the purpose of identifying, evaluating or planning the safety enhancement of potential crash sites, hazardous roadway conditions, or railway-highway crossings. This data is updated monthly and contains crashes that occurred since 2009 through six months ago. Official crash reports are confidential and are not a public record under the Delaware Freedom of Information Act. Authorized parties may contact the reporting police agency directly for official copies of crash reports (21 Del. C. §313).</SPAN></SPAN></P><P STYLE="text-align:Justify;margin:0 0 0 0;"><SPAN><SPAN> </SPAN></SPAN></P><P STYLE="text-align:Justify;margin:0 0 0 0;"><SPAN><SPAN>DSHS is committed to bringing public awareness to crash information. The Office of Highway Safety’s annual reports (</SPAN></SPAN><A href="https://ohs.delaware.gov/reports.shtml" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>https://ohs.delaware.gov/reports.shtml</SPAN></SPAN></A><SPAN><SPAN>), the Office of Highway Safety’s annual safety plan (</SPAN></SPAN><A href="https://ohs.delaware.gov/reports.shtml" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>https://ohs.delaware.gov/reports.shtml</SPAN></SPAN></A><SPAN><SPAN>), and the Delaware State Police Traffic Statistical Reports (</SPAN></SPAN><A href="https://dsp.delaware.gov/reports/" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>https://dsp.delaware.gov/reports/</SPAN></SPAN></A><SPAN><SPAN>) also contain a variety of information and data. In addition, the State of Delaware’s Strategic Highway Safety Plan is available at </SPAN></SPAN><A href="https://deldot.gov/Programs/DSHSP/index.shtml" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>https://deldot.gov/Programs/DSHSP/index.shtml</SPAN></SPAN></A><SPAN> and is updated every five years.</SPAN></P></DIV></DIV></DIV>

2012 Richmond Community Survey Data

This is a raw data from the 1371 responses of the mailed community survey in spring 2012 by our contracted vendor ETC Institute. Responses to questions are based upon following scoring: Answers Provided as: 5 Very Satisfied 4 Satisfied 3 Neither 2 Dissatisfied 1 Very Dissatisfied 9 Don't Know Final Report from vendor is attached.

RVA Community Survey 2014 Data GEO

Dataset is the anonymized responses from the 2014 Community Survey conducted by ETC Institute. Random surveys were sent to residents across our city to create an equal representation of at least 150 responses per Council District. Most answers are scored: 5- Very Satisfied 4- Satisfied 3- Neither 2- Dissatisfied 1- Very Dissatisfied 9- Don't Know While Most Important ranked questions refer to the preceding questions services and items ordered by letter. Not all Ranking questions are required and might not equal total number of surveys.

SLR Annual High Wave Flooding - 2.0 Ft. Scenario

Hawaii is exposed to large waves annually on all open coasts due to its location in the Central North Pacific Ocean. The distance over which waves run-up and wash across the shoreline will increase with sea level rise. As water levels increase, less wave energy will be dissipated through breaking on nearshore reefs and waves will arrive at a higher elevation at the shoreline. Computer model simulations of future annual high wave flooding were conducted by the University of Hawaii Coastal Geology Group using the XBeach (for eXtreme Beach behavior) numerical model developed by a consortium of research institutions. The model propagates the maximum annually recurring wave, calculated from offshore wave buoy data, over the reef and to the shore along one-dimensional (1D) cross-shore profiles extracted from a 1-meter DEM. Profiles are spaced 20 meters apart along the coast. This approach was used to model the transformation of the wave as it breaks across the reef and includes shallow water wave processes such as wave set-up and overtopping. The IPCC AR5 RCP8.5 sea level rise scenario was used in modeling exposure to annual high wave flooding from sea level rise at 0.5, 1.1, 2.0, and 3.2 feet. This particular layer depicts annual high wave flooding using the 2.0-ft (0.5991-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2075, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Historical data used to model annual high wave flooding include hourly measurements of significant wave height, peak wave period, and peak wave direction, and was acquired from offshore wave buoy data from PacIOOS. Maximum surface elevation and depth of the annual high wave flooding is calculated from the mean of the five highest modeled water elevations at each model location along each profile. Output from the simulations is interpolated between transects and compiled in a 5-meter map grid. Depth grid cells with values less than 10 centimeters are not included in the impact assessment. This was done to remove very thin layers of water excursions that (1) are beyond the accuracy of the model and (2) might not constitute a significant impact to land and resources when only occurring once annually. Any low-lying flooded areas that are not connected to the ocean are also removed. Annual high wave flood modeling covered wave-exposed coasts with low-lying development on Maui, Oahu, and Kauai. Annual high wave flooding was not available for the islands of Hawaii, Molokai, and Lanai, nor for harbors or other back-reef areas throughout all the islands. Additional studies would be needed to add the annual high wave flooding for those areas. The maximum annually recurring wave parameters (significant wave height, period, direction) were statistically determined using historical wave climate records and do not include potential changes in future wave climate, the effects of storm surge, or less-frequent high wave events (e.g., a 1-in-10 year wave event). In some locations, the extent of flooding modeled was limited by the extent of the 1-meter DEM. Changes in shoreline location due to coastal erosion are not included in this modeling. As shorelines retreat, annual high wave flooding will reach farther inland along retreating shorelines. Waves are propagated along a "bare earth" DEM which is void of shoreline structures, buildings, and vegetation, and waves are assumed to flow over an impermeable surface. The DEM represents a land surface at one particular time, and may not be representative of the beach shape during the season of most severe wave impact, particularly for highly variable north and west-exposed beaches. Undesirable artifacts of 1D modeling include over-predicted flooding along some transects with deep, shore-perpendicular indentations in the sea bottom such as nearshore reef channels. The 1D modeling does not account for the pres

SLR Annual High Wave Flooding - 3.2 Ft. Scenario

Hawaii is exposed to large waves annually on all open coasts due to its location in the Central North Pacific Ocean. The distance over which waves run-up and wash across the shoreline will increase with sea level rise. As water levels increase, less wave energy will be dissipated through breaking on nearshore reefs and waves will arrive at a higher elevation at the shoreline. Computer model simulations of future annual high wave flooding were conducted by the University of Hawaii Coastal Geology Group using the XBeach (for eXtreme Beach behavior) numerical model developed by a consortium of research institutions. The model propagates the maximum annually recurring wave, calculated from offshore wave buoy data, over the reef and to the shore along one-dimensional (1D) cross-shore profiles extracted from a 1-meter DEM. Profiles are spaced 20 meters apart along the coast. This approach was used to model the transformation of the wave as it breaks across the reef and includes shallow water wave processes such as wave set-up and overtopping. The IPCC AR5 RCP8.5 sea level rise scenario was used in modeling exposure to annual high wave flooding from sea level rise at 0.5, 1.1, 2.0, and 3.2 feet. This particular layer depicts annual high wave flooding using the 3.2-ft (0.9767-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2100, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Historical data used to model annual high wave flooding include hourly measurements of significant wave height, peak wave period, and peak wave direction, and was acquired from offshore wave buoy data from PacIOOS. Maximum surface elevation and depth of the annual high wave flooding is calculated from the mean of the five highest modeled water elevations at each model location along each profile. Output from the simulations is interpolated between transects and compiled in a 5-meter map grid. Depth grid cells with values less than 10 centimeters are not included in the impact assessment. This was done to remove very thin layers of water excursions that (1) are beyond the accuracy of the model and (2) might not constitute a significant impact to land and resources when only occurring once annually. Any low-lying flooded areas that are not connected to the ocean are also removed. Annual high wave flood modeling covered wave-exposed coasts with low-lying development on Maui, Oahu, and Kauai. Annual high wave flooding was not available for the islands of Hawaii, Molokai, and Lanai, nor for harbors or other back-reef areas throughout all the islands. Additional studies would be needed to add the annual high wave flooding for those areas. The maximum annually recurring wave parameters (significant wave height, period, direction) were statistically determined using historical wave climate records and do not include potential changes in future wave climate, the effects of storm surge, or less-frequent high wave events (e.g., a 1-in-10 year wave event). In some locations, the extent of flooding modeled was limited by the extent of the 1-meter DEM. Changes in shoreline location due to coastal erosion are not included in this modeling. As shorelines retreat, annual high wave flooding will reach farther inland along retreating shorelines. Waves are propagated along a "bare earth" DEM which is void of shoreline structures, buildings, and vegetation, and waves are assumed to flow over an impermeable surface. The DEM represents a land surface at one particular time, and may not be representative of the beach shape during the season of most severe wave impact, particularly for highly variable north and west-exposed beaches. Undesirable artifacts of 1D modeling include over-predicted flooding along some transects with deep, shore-perpendicular indentations in the sea bottom such as nearshore reef channels. The 1D modeling does not account for the pres