The "Enslaved People in the African American National Biography, 1508-1865" dataset builds on the complete print and online collection of the African American National Biography (AANB), edited by Henry Louis Gates, Jr. and Evelyn Brooks Higginbotham. The full collection contains over 6,000 biographical entries of named historical individuals, including 1,304 for subjects born before 1865 and the abolition of slavery in the United States. In making a subset of biographical entries from the multivolume work, the goal was to extract life details from those biographies into an easy-to-view database form that details whether a subject was enslaved for some or all of their lives and to provide the main biographical details of each subject for contextual analysis and comparison. 52 fields covering location data; gender; names, alternate names and suffixes; dates and places of birth and death; and up to 8 occupations were included. We also added 13 unique fields that provide biographical details on each subject: Free born in North America; Free before 13th Amendment; Ever Enslaved; How was freedom attained; Other/uncertain status; African born; Parent information; Runaways and rebels; Education/literacy; Religion; Slave narrative or memoir author; Notes; and Images.

This study uses historical records from 36 archives in the United States to analyze 8,437 enslaved people's sale and/or appraisal prices from 1797 to 1865.

This study uses historical records from 36 archives in the United States to analyze 8,437 enslaved people’s sale and/or appraisal prices from 1797 to 1865. Demographic information, including name, year, age/age group, gender, state, and trade/skill notations were recorded when applicable. By calculating average appraisal and sale values across cross-sections of gender (male or female) and age group (0-10 years old, 11-22 years old, 23-39 years old, and 40+ years old), a total of sixteen major comparative prices were analyzed (app/male/0-10; app/female/0-10; sale/male/0-10; sale/female/0-10; app/male/11-22; app/female/11-22; sale/male/11-22; sale/female/11-22; app/male/23-39; app/female/23-39; sale/male/23-39; sale/female/23-39; app/male/40+; app/female/40+; sale/male/40+; sale/female/40+). Scholars have the opportunity to use this data set to understand how enslaved people were valued and appraised. The demographic data included will be useful to those who want to explore various aspects of the history of slavery and enslaved people.

The Natchez Database of Free People of Color (NDFPC) contains data about Natchez, Mississippi’s free Black community during the Spanish era (1779-1795) and after the United States acquired it in 1796 until 1865. It records the name of every free black individual who surfaced in the author’s research; diligent attention was paid to entering values like gender, age, race, property ownership, occupation, literacy, experiences of violence, among many others (53 in total) in the dataset. The companion to the NDFPC is the Natchez Index of Free Individuals and Families of Color, which is an approximately 500-page text document that archives transcriptions of records on the 1,018 free Black individuals who lived or stayed in Natchez during those years. It is organized alphabetically by surname when known or by first name. Digitization of the dataset and index will facilitate research by descendants engaged in genealogical research and other scholars of enslaved and free people of color.

This open-access geospatial dataset (downloadable in csv or shapefile format) contains a total of 11 environmental indicators calculated for 1865 U.S. prisons. This consists of all active state- and federally-operated prisons according to the Homeland Infrastructure Foundation-Level Data (HIFLD), last updated June 2022. This dataset includes both raw values and percentiles for each indicator. Percentiles denote a way to rank prisons among each other, where the number represents the percentage of prisons that are equal to or have a lower ranking than that prison. Higher percentile values indicate higher vulnerability to that specific environmental burden compared to all the other prisons. Full descriptions of how each indicator was calculated and the datasets used can be found here: https://github.com/GeospatialCentroid/NASA-prison-EJ/blob/main/doc/indicator_metadata.md.

From these raw indicator values and percentiles, we also developed three individual component scores to summarize similar indicators, and to then create a single vulnerability index (methods based on other EJ screening tools such as Colorado Enviroscreen, CalEnviroScreen and EPA’s EJ Screen). The three component scores include climate vulnerability, environmental exposures and environmental effects. Climate vulnerability factors reflect climate change risks that have been associated with health impacts and includes flood risk, wildfire risk, heat exposure and canopy cover indicators. Environmental exposures reflect variables of different types of pollution people may come into contact with (but not a real-time exposure to pollution) and includes ozone, particulate matter (PM 2.5), traffic proximity and pesticide use. Environmental effects indicators are based on the proximity of toxic chemical facilities and includes proximity to risk management plan (RMP) facilities, National Priority List (NPL)/Superfund facilities, and hazardous waste facilities. Component scores were calculated by taking the geometric mean of the indicator percentiles. Using the geometric mean was most appropriate for our dataset since many values may be related (e.g., canopy cover and temperature are known to be correlated).

To calculate a final, standardized vulnerability score to compare overall environmental burdens at prisons across the U.S., we took the average of each component score and then converted those values to a percentile rank. While this index only compares environmental burdens among prisons and is not comparable to non-prison sites/communities, it will be able to heighten awareness of prisons most vulnerable to negative environmental impacts at county, state and national scales. As an open-access dataset it also provides new opportunities for other researchers, journalists, activists, government officials and others to further analyze the data for their needs and make comparisons between prisons and other communities. This is made even easier as we produced the methodology for this project as an open-source code base so that others can apply the code to calculate individual indicators for any spatial boundaries of interest. The codebase can be found on GitHub (https://github.com/GeospatialCentroid/NASA-prison-EJ) and is also published via Zenodo (https://zenodo.org/record/8306856).

This dataset contains bank transaction and dividend records for the Freedman’s Savings and Trust Bank, which operated between 1865 and 1874 in the United States and served primarily newly freed, formerly enslaved people. The branch locations ranged from New York to Shreveport and from St. Louis to Jacksonville. The data consists of two parts: a random sampling of about 500 passbooks, which contain transaction data, and a record of all dividend repayments to account holders following the dissolution of the bank. The latter dataset contains over 40,000 observations. The result is a robust picture of ending account balances and deposit/withdraw activity for the Freedman’s Savings and Trust Bank.

The CUMV Fish Collection was established shortly after the founding of the university in 1865. Many of our earliest specimens were collected by well-known researchers such as David Starr Jordan, Carl Eigenmann, Charles Frederick Hartt and Seth Meek. By 1935, the collection contained only 3,000 lots, but during the following 35 years, Edward Raney and his students built the finest collection of eastern North American freshwater fishes in existence today. In Collette and Lachner's (1976) report on fish collections in the United States and Canada, the CUMV Fish Collection ranked thirteenth among all collections and fourth among National Resource Centers in North America. Although there is worldwide representation of both marine and freshwater species, the bulk of the collection is strongly representative of freshwater fishes from eastern North America and has formed the basis for numerous systematic works on the North American fish fauna. Much of the material is in large geographic series, and many sites have been sampled repeatedly through extended periods of time. Some specimens are from the original New York State Biological Survey (1926–1939). Many of our collections are from the highly industrialized Northeast and Middle Atlantic states and thus document earlier faunas in habitats now greatly altered, and we have repeated samples through time from many of these localities. The primary activities for the last several years has been collection building efforts directed toward African freshwater fishes.