U.S. Korean War Casualties from the U.S National Archives.

Vietnam Conflict Casualties from the National Archives.

Participants were 122 individuals from a fire department. The total number of employees at the fire department were 184 people. Participants were at all levels of the organization. The data includes both cultural measures from O'Reilly, Chapman, and Caldwell (1991) and a network analysis where participants were asked to identify up to five individuals they prefer to turn to for work related advice. Participants were given the full list of values from the O'Reilly et al (1991) paper and asked to identify the most import two values, then the most important four values, etc. Just as the sorting methodology in the paper went through. However, the survey was administered online. For the network analysis, the data includes both a betweenness measure and a centrality measure (ndegree). The data was collected 1/15/2014-3/15/2014.

The data includes location and type of wetlands and deep water habitats in the United States. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act. Source from: ArcGIS.

The data includes average percent of possible sunshine by month. Source from: NOAA.

The Consumer Price Index (CPI) for food is a component of the all-items CPI. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only. ERS's monthly update is usually released on the 25th of the month; however, if the 25th falls on a weekend or a holiday, the monthly update will be published on either the 23rd or 24th. This report provides a detailed outline of ERS's forecasting methodology, along with measures to test the precision of the estimates (May 2015). At ERS, work on the CPI for food consists of several activities. ERS reports the current index level for food, examines changes in the CPI for food, and constructs forecasts of the CPI for food for the next 12-18 months. Forecasting the CPI for food has become increasingly important due to the changing structure of food and agricultural economies and the important signals the forecasts provide to farmers, processors, wholesalers, consumers, and policymakers. As a natural extension of ERS's work with the CPI for food, ERS also analyzes and models forecasts for the Producer Price Index (PPI). The PPI is similar to the CPI in that it measures price changes over time; however, instead of measuring changes in retail prices, the PPI measures the average change in prices paid to domestic producers for their output. The PPI collects data for nearly every industry in the goods-producing sector of the economy. Changes in farm-level and wholesale-level PPIs are of particular interest in forecasting food CPIs. cpi

The dataset contains the name, principal manager title, and website for over 8000 independent financial management firms. Also included is the contact email addresses for 1,805 principal managers. The data was collected by first identifying investment firms through the Independent Adviser Registration Depository (IARD) and then web search and manual data entry to collect contact emails. The list represents IARD registered investment advisors as of Jan 2017.

The dataset contains the names, title, and webpages for the over 700 independent financial advisors that started business in 2017. The principal manager's email address is available for 397 of the companies. The data was collected using the Independent Adviser Registration Depository (IARD) and then manual web search and data entry ofr email addresses.

Every year, Stack Overflow conducts a massive survey of people on the site, covering all sorts of information like programming languages, salary, code style and various other information. This year, they amassed more than 64,000 responses fielded from 213 countries. Data The data is made up of two files: 1. survey_results_public.csv - CSV file with main survey results, one respondent per row and one column per answer 2. survey_results_schema.csv - CSV file with survey schema, i.e., the questions that correspond to each column name m Acknowledgements Data is directly taken from StackOverflow and licensed under the ODbL license.

Contact information for over 10,000 window tinting and blinds companies in the US. Company name, phone number, and address for each tinting company. Dataset contains tinting firms specializing in the auto industry as well. Data was collected through web search and manual entry from September to October 2017.  Comperable contact list would cost over $500 on most lead generation services.    

Contact information for over 20,000 restaurants across the US. All restaurants from the NAICS code 72251: Restaurants and Other Eating Places. This includes all set down, fast casual, fast food, and ethnic restaurants.  List includes name, address, phone number, website, contact email address, and a brief description.  Data was collected from a combination of web scrapping and manual data entry. Similar lists cost over $1500 from lead generation and business data companies.

Detailed list of over 15,000 auto repair and parts companies in the US. Dataset includes company name, category/sub-category, address, email, and website.  Data collected from web scrapping with supplemental manual data entry. Great contact list for lead generation: we used the dataset for a MailChimp email campaign and had a 4.3% response rate. Great list for mailers or phone campaigns as well.