Tampa CV Pilot Signal Phasing and Timing (SPaT) Sample

The Tampa CV Pilot generates data from the interaction between vehicles and between vehicles and infrastructure. This dataset consists of Signal Phasing and Timing Message (SPaT) Messages transmitted by road-side units (RSU) located throughout the Tampa CV Pilot Study area. The full set of raw, SPaT data from Tampa CV Pilot can be found in the <a href="http://usdot-its-cvpilot-publicdata.s3.amazonaws.com/index.html" target="_blank" >ITS Sandbox</a>. The data fields follow SAE J2735 data frames (Section 6) and structure (Section 7). This dataset holds a flattened sample of the SPaT data from Tampa CV Pilot. A column of random numbers (randomNum) was added to allow for random sampling of data points within Socrata.

Stormwater_Features

For NPDES Stormwater sewer system enhanced mapping project. Contains a GIS polygon feature class of stormwater basins in Gainesville, FL as a result of the NPDES stormwater system mapping project. This feature does not participate in the GIS network, and is for cartographic purposes only. This file is current only up to 02/04/08 and may be incomplete, and only covers those areas of Gainesville, FL that have been mapped up to 02/04/08. The file is also subject to constant updating as project progresses. This feature class is for informational purposes only. Do not rely on this file for accuracy of dimensions, size or location. The City of Gainesville does not assume responsibility to update this information for any error or omission in this file. This shapefile may indicate the zoning/land use on the properties as shown. Do not rely on this file for accuracy of dimensions. For specific information, contact the City of Gainesville, Florida.

GRU Customer Electric Consumption 2012-2022

Data is provided by Gainesville Regional Utilities

GRU Customer Reclaimed Water Consumption

Monthly reclaimed water consumption in Kilo-gallons (kgals) by service address for all customers in the GRU Service Area. Reclaimed water is also known as sewer or wastewater. (Potable water use can be found in another dataset)

Tampa CV Pilot Traveler Information Message (TIM) Sample

The Tampa CV Pilot generates data from the interaction between vehicles and between vehicles and infrastructure. This dataset consists of Traveler Information Messages (TIMs) transmitted by road-side units (RSU) located throughout the Tampa CV Pilot Study area. The full set of raw, TIM data from Tampa CV Pilot can be found in the <a href="http://usdot-its-cvpilot-publicdata.s3.amazonaws.com/index.html" target="_blank">ITS Sandbox</a>. The data fields follow a SAE J2735 TIM message structure to convey important traffic information to onboard units (OBU) of equipped vehicles. Refer to SAE J2735 Section 5.16 Message: MSG_TravelerInformation Message (TIM). This dataset holds a flattened sample of the TIM data from Tampa CV Pilot. Three additional fields were added to this Socrata dataset during ETL: a geo column (travelerdataframe_msgId_position) to allow for mapping of the geocoded TIM data within Socrata, a random number column (randomNum) to allow for random sampling of data points within Socrata, and a time of day generated column (metadata_generatedAt_timeOfDay) to allow for filtering of data by generated time.

Homeless Survey Zones_data

Homeless Survey Zones as defined by: Theresa Theresa Lowe, Executive Director tlowe@gracemarketplace.org North Central Florida Coalition for the Homeless and Hungry Operating GRACE Marketplace 3055 NE 28th Drive Gainesville, FL 32609 (352) 792-0800, ext. 105 www.gracemarketplace.org

Tampa CV Pilot Basic Safety Message (BSM) Sample

The Tampa CV Pilot generates data from the interaction between vehicles and between vehicles and infrastructure. This dataset consists of Basic Safety Messages (BSMs) generated by participant and public transportation vehicles onboard units (OBU) and transmitted to road-side units (RSU) located throughout the Tampa CV Pilot Study area. The full set of raw, BSM data from Tampa CV Pilot can be found in the <a href="http://usdot-its-cvpilot-publicdata.s3.amazonaws.com/index.html" target="_blank" >ITS Sandbox</a>. The data fields follow SAE J2735 and J2945/1 standards and adopted units of measure. This dataset holds a flattened sample of the BSM data from Tampa CV Pilot. An extra geo column (coreData_position) was added to this dataset to allow for mapping of the geocoded BSM data within Socrata, and a column of random numbers (randomNum) was added to allow for random sampling of data points within Socrata.

Parcel

Land Use_data

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe’s Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe’s Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS.

RSBS SMO: Part 2 of 2, New York State Residential Statewide Baseline Study: Single and Multifamily Occupant Telephone or Web Survey

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. This is part 2 (contains: Clothes Washing and Drying; Water Heating; Home Lighting; Pool and Spa; Small Household Appliances; and Miscellaneous Equipment) of 2; part 1 (https://data.ny.gov/d/3m6x-h3qa) contains: Behavior and Demographics; Building Shell; Kitchen Appliances; and Heating and Cooling. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes 2,982 single-family and 379 multifamily occupant survey completes for a total of 3,361 responses. The survey involved 2,285 Web, 1,041 telephone, and 35 mini-inspection surveys. The survey collected information on the following building characteristics: building shell, kitchen appliances, heating and cooling equipment, water heating equipment, clothes washing and drying equipment, lighting, pool and spa equipment, small household appliances, miscellaneous energy consuming equipment, as well as behaviors and characteristics of respondents.