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Dataset Slaves in Bucks County, Pennsylvania(2024) Wright, Robert E.The Bucks County Register of Slaves includes the name, occupation, and township of enslavers as well as the name, gender, and age of persons enslaved in Bucks County, Pennsylvania, in the late eighteenth and early nineteenth centuries. Manumission dates, racial status, and other notes are also noted for some of the slaves. This dataset is a part of the Magazine of American Datasets (MEAD). To view more of the collection, visit https://repository.upenn.edu/exhibits/orgunit/mead.Dataset Holland Land Company Deed Tables(2024-04-01) Krischer, Elana; Nattrass, Christopher; Rockwell, Sara; Ryan, JacobThis dataset is a transcription of the Deed Tables from the Holland Land Company Deed Books held at the New York State Archives. The Holland Land Company was a consortium of Dutch Bankers who purchased the preemption right to lands west of the Genesee River in New York from land speculator Robert Morris. The Holland Land Company then extinguished Seneca title to much of the land at the 1797 Treaty of Big Tree, surveyed townships and Seneca reservations between 1798 and 1800, and then sold the land to settlers beginning in 1802. The deeds listed in these tables include land sales between 1802 and 1833. Fields include names of purchasers, month of purchase, day of purchase, year of purchase, township, range, number of acres sold, and purchase money. The original records include the number of the deed that links the purchases to corresponding records as well as the individual lot number within each township and range. This data was left out of our transcription. Corresponding digitized maps of the Holland Land Purchase can be found at the New York State Archives website. https://www.archives.nysed.gov/ This dataset is a part of the Magazine of American Datasets (MEAD). To view more of the collection, visit https://repository.upenn.edu/exhibits/orgunit/mead.Dataset Extreme sea level at different global warming levelsTebaldi, ClaudiaTebaldi, C., Ranasinghe, R., Vousdoukas, M. et al. Extreme sea levels at different global warming levels. Nat. Clim. Chang. 11, 746–751 (2021). https://doi.org/10.1038/s41558-021-01127-1 (as shown in Fig. 1 b,d,f and Fig. 2 top panel for 7,283 locations). Global warming levels reached by 2100 causing a present-day 100-year extreme sea level event to become at least an annual event (for central value and low and upper bounds), and extended mean value of the difference between current 100-yr and the 1-yr events. The numbers from 1 to 9 along the 3rd, 4th and 5th columns correspond to the warming levels in the legend of Figure 1: 1.5, 2, 2+, 3, 4, 5, none (The + sign associated with 2 and 5 °C indicates projections that include SEJ-derived estimates of ice-sheet contribution to RSLC.) See also the data in an interactive way at the Perry World House Global Climate Security AtlasDataset Return period (years) in future (2071–2100) for discharge corresponding to a 30-year flood in the past (1971–2000), for CMIP6 under the ssp585 scenarioHirabayashi, YukikoHirabayashi, Y., Tanoue, M., Sasaki, O. et al. Global exposure to flooding from the new CMIP6 climate model projections. Sci Rep 11, 3740 (2021). https://doi.org/10.1038/s41598-021-83279-w (Fig. 1) Projected change in river flood frequency under the ssp585 climate change scenario. Multi-model median return period (years) in future (2071–2100) for discharge corresponding to a 100-year flood in the past (1971–2000), for CMIP6 under the ssp585 (SSP5-RCP8.5) scenario. See also data in an interactive way at the Perry World House Global Climate Security Atlas https://global.upenn.edu/perryworldhouse/global-climate-security-atlasDataset Return period (years) in future (2071–2100) for discharge corresponding to a 10-year flood in the past (1971–2000), for CMIP6 under the ssp585 scenarioHirabayashi, YukikoHirabayashi, Y., Tanoue, M., Sasaki, O. et al. Global exposure to flooding from the new CMIP6 climate model projections. Sci Rep 11, 3740 (2021). https://doi.org/10.1038/s41598-021-83279-w (Fig. 1) Projected change in river flood frequency under the ssp585 climate change scenario. Multi-model median return period (years) in future (2071–2100) for discharge corresponding to a 100-year flood in the past (1971–2000), for CMIP6 under the ssp585 (SSP5-RCP8.5) scenario. See also data in an interactive way at the Perry World House Global Climate Security Atlas https://global.upenn.edu/perryworldhouse/global-climate-security-atlas