Strategic Direction Measure EOA.B.2 This is a historical measure for Strategic Direction 2023. For more data on Austin demographics please visit austintexas.gov/demographics.

Data set containing information on the facilities licensed by DMV in accordance with Vehicle and Traffic Law.

This dataset includes County spending data for Montgomery County government. It does not include agency spending. Data considered sensitive or confidential and will be encrypted before it is posted.

This part of the data release includes graphical representation (figures) of data from sediment cores collected in 2009 offshore of Palos Verdes, California. This file graphically presents combined data for each core (one core per page). Data on each figure are continuous core photograph, CT scan (where available), graphic diagram core description (graphic legend included at right; visual grain size scale of clay, silt, very fine sand [vf], fine sand [f], medium sand [med], coarse sand [c], and very coarse sand [vc]), multi-sensor core logger (MSCL) p-wave velocity (meters per second) and gamma-ray density (grams per cc), radiocarbon age (calibrated years before present) with analytical error (years), and pie charts that present grain-size data as percent sand (white), silt (light gray), and clay (dark gray). This is one of seven files included in this U.S. Geological Survey data release that include data from a set of sediment cores acquired from the continental slope, offshore Los Angeles and the Palos Verdes Peninsula, adjacent to the Palos Verdes Fault. Gravity cores were collected by the USGS in 2009 (cruise ID S-I2-09-SC; http://cmgds.marine.usgs.gov/fan_info.php?fan=SI209SC), and vibracores were collected with the Monterey Bay Aquarium Research Institute's remotely operated vehicle (ROV) Doc Ricketts in 2010 (cruise ID W-1-10-SC; http://cmgds.marine.usgs.gov/fan_info.php?fan=W110SC). One spreadsheet (PalosVerdesCores_Info.xlsx) contains core name, location, and length. One spreadsheet (PalosVerdesCores_MSCLdata.xlsx) contains Multi-Sensor Core Logger P-wave velocity, gamma-ray density, and magnetic susceptibility whole-core logs. One zipped folder of .bmp files (PalosVerdesCores_Photos.zip) contains continuous core photographs of the archive half of each core. One spreadsheet (PalosVerdesCores_GrainSize.xlsx) contains laser particle grain size sample information and analytical results. One spreadsheet (PalosVerdesCores_Radiocarbon.xlsx) contains radiocarbon sample information, results, and calibrated ages. One zipped folder of DICOM files (PalosVerdesCores_CT.zip) contains raw computed tomography (CT) image files. One .pdf file (PalosVerdesCores_Figures.pdf) contains combined displays of data for each core, including graphic diagram descriptive logs. This particular metadata file describes the information contained in the file PalosVerdesCores_Figures.pdf. All cores are archived by the U.S. Geological Survey Pacific Coastal and Marine Science Center.

Liquor Authority quarterly list of all active licensees in NYS filtered by Winery and Brewery specific License Types.

These files represent the state and regional summaries of sensitivities to formaldehyde, acetaldehyde and ozone to various sources and compounds. This dataset is associated with the following publication: Luecken, D., S. Napelenok, M. Strum, R. Scheffe, and S. Phillips. Sensitivity of Ambient Atmospheric Formaldehyde and Ozone to Precursor Species and Source Types Across the United States. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(8): 4668–4675, (2018).

The Statistical Atlases published by the Census Bureau in the late 1800s utilized a number of novel methods for displaying data. In this paper, we examine the use of framed spine and mosaic plots used in two plates of the Statistical Atlas of 1870. We use forensic statistics to recreate the data using available census information, and then use that data to create framed charts using modern plotting methods. We then examine the effectiveness of the framed charts compared to other alternatives with a user study. The data and code for this study are available online.

All BPD data on Open Baltimore is preliminary data and subject to change. The information presented through Open Baltimore represents Part I victim based crime data. The data do not represent statistics submitted to the FBI's Uniform Crime Report (UCR); therefore any comparisons are strictly prohibited. For further clarification of UCR data, please visit http://www.fbi.gov/about-us/cjis/ucr/ucr. Please note that this data is preliminary and subject to change. Prior month data is likely to show changes when it is refreshed on a monthly basis. All data is geocoded to the approximate latitude/longitude location of the incident and excludes those records for which an address could not be geocoded. Any attempt to match the approximate location of the incident to an exact address is strictly prohibited.

These pie charts represent the distribution of biomass quantities (percentually) per municipality in the following categories, berm mower, reed and heath, stem and leaf. The size of the pie chart shows the cumulative amount. This dataset is used in the ‘biomass’ map as part of the research into natural capital in Overijssel.

This dataset includes information for projects that appear on the City of Austin’s Capital Improvement Visualization Information and Communication (CIVIC) Map Viewer, www.austintexas.gov/GIS/civic. These projects, also known as Capital Improvements Program (CIP) projects, implement the construction, replacement, or renovation of city assets that are useful to the community. Data is currently available for most CIP projects funded in full or in part by voter-approved bond programs from 2010 and 2012. The dataset below is subject to change at any time, and does not represent a comprehensive list of capital improvement projects. For more information about the City of Austin’s Capital Improvement Program, please visit www.austintexas.gov/department/civic. The City of Austin has produced CIVIC, a web application to search Capital Improvement Projects, for informational purposes only. The data and information available at this web site is provided "As is", and "As Available" and without any warranties of any kind either express or implied. The City makes no warranty regarding the accuracy or completeness of this site and the information provided. By accessing or using CIVIC, you agree to these terms of use. The City of Austin may change the terms of use at any time at its sole discretion and without notice.”

This dataset contains a selection of six socioeconomic indicators of public health significance and a “hardship index,” by Chicago community area, for the years 2007 – 2011. The indicators are the percent of occupied housing units with more than one person per room (i.e., crowded housing); the percent of households living below the federal poverty level; the percent of persons in the labor force over the age of 16 years that are unemployed; the percent of persons over the age of 25 years without a high school diploma; the percent of the population under 18 or over 64 years of age (i.e., dependency); and per capita income. Indicators for Chicago as a whole are provided in the final row of the table. See the full dataset description for more information at https://data.cityofchicago.org/api/assets/8D10B9D1-CCA3-4E7E-92C7-5125E9AB46E9.

View or export Culver City's checkbook data

All BPD data on Open Baltimore is preliminary data and subject to change. The information presented through Open Baltimore represents Part I victim based crime data. The data do not represent statistics submitted to the FBI's Uniform Crime Report (UCR); therefore any comparisons are strictly prohibited. For further clarification of UCR data, please visit http://www.fbi.gov/about-us/cjis/ucr/ucr. Please note that this data is preliminary and subject to change. Prior month data is likely to show changes when it is refreshed on a monthly basis. All data is geocoded to the approximate latitude/longitude location of the incident and excludes those records for which an address could not be geocoded. Any attempt to match the approximate location of the incident to an exact address is strictly prohibited.

This pie chart displays books per publication date using the aggregation count. The data is filtered where the book publisher is Computational Mathematics. The data is about books.

includes prior years

The Excel spreadsheet contains the quantitative questions (Questions 1, 3 and 4). Each question is analysed in the form of a frequency distribution table and a pie chart.

This pie chart displays books per publication date using the aggregation count. The data is filtered where the book publisher is Pie and Chips Publishing. The data is about books.

This pie chart displays books per publication date using the aggregation count. The data is filtered where the book publisher is P. Catt. The data is about books.

This pie chart displays companies per industry using the aggregation count. The data is filtered where the industry is Diversified Consumer Services. The data is about companies.

This pie chart displays companies per city using the aggregation count. The data is filtered where the sector is Information Technology. The data is about companies.