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1 to 10 of 13 Results
University of Richmond School of Law Dataverse(University of Richmond School of Law)
Nov 16, 2022
Jun 1, 2022 - Harvard Dataverse
Cotropia, Christopher; Schwartz, David, 2022, "Abandoned U.S. Published Patent Applications (Jan. 1, 2000 to July 1, 2017)", https://doi.org/10.7910/DVN/Q4Q32F, Harvard Dataverse, V1, UNF:6:MIZJVVEKa8zlCJnQ8/tpWg== [fileUNF]
U.S. Published Patent Applications from January 1, 2000 to July 1, 2017 that were "truly" abandoned, identified by Christopher Cotropia and David Schwartz. "Truly" abandoned, coding methodology, and analysis available in Christopher Cotropia and David Schwartz, "The Hidden Value of Abandoned Applications to the Patent System", 61 Boston College L....
Jun 1, 2022 - Harvard Dataverse
Cotropia, Christopher; Kesan, Jay; Schwartz, David, 2022, "2012 and 2010 Patent Holder and Litigation Dataset", https://doi.org/10.7910/DVN/NCSV27, Harvard Dataverse, V1, UNF:6:Xx+U88oQiof6V/Csgu/uNg== [fileUNF]
U.S. patent holder litigants from calendar years 2010 and 2012 identified by entity type. Authors personally hand-coded data, and the data was first analyzed in Christopher Cotropia, Jay Kesan, and David Schwartz, "Unpacking Patent Assertion Entities (PAEs)", 99 Minn. L. Rev. 649 (2014). Article details coding methodology and scheme.
Apr 4, 2022 - Boston Area Research Initiative's Boston Data Portal
Nelson, Robert; Winling, LaDale; Marciano, Richard; Connolly, N.D.B., 2022, "Redlining in Boston", https://doi.org/10.7910/DVN/WXZ1XK, Harvard Dataverse, V1, UNF:6:X+Wfu6+NElBG9UKkB7G4tw== [fileUNF]
Between 1935 and 1940 the federal government’s Home Owners’ Loan Corporation (HOLC) classified the neighborhoods of 239 cities according to their perceived investment risk. This practice has since been referred to as “redlining,” as the neighborhoods classified as being the highest risk for investment were often colored red on the resultant maps. T...
Mar 8, 2022 - Harvard Dataverse
Reygadas, Yunuen, 2022, "Annual forest cover conditions across the Southwestern Amazon, 2003-2021", https://doi.org/10.7910/DVN/ZONVWJ, Harvard Dataverse, V2
A Landsat-based machine learning algorithm (Reygadas et al. 2021, Environmental Research Communications) adapted from Wang et al. (2019, Remote Sensing of Environment) to the Southwestern Amazon was used to map intact forest, degradation, and deforestation in this region on a yearly basis during the 2003-2021 period. Degradation is defined as a lon...
Jan 15, 2022 - Spatial Inequalities in African Political Economy
Lukalo, Fibian; Boone, Catherine; Browne, Kimberley; Joireman, Sandra, 2022, "Kenya Settlement Schemes Data Project", https://doi.org/10.7910/DVN/1KC6OB, Harvard Dataverse, V1
This research project is conducted in partnership between Dr. Fibian Lukalo of Kenya’s National Land Commission, Prof. Catherine Boone of the London School of Economics (funded by UK Economic and Social Research Council Grant # ES/R005753/1 'Spatial Dynamics in African Political Economy' and Kenya NACOSTI Research Permits # NACOSTI/P/16/48539/13282...
Jan 15, 2022 - Harvard Dataverse
Boone, Catherine, 2022, "Lukalo, Boone, and Joireman. Mapping Settlement Schemes in Kenya. Nairobi: NLC, 2019", https://doi.org/10.7910/DVN/YSTBKU, Harvard Dataverse, V1
Fibian Lukalo, Catherine Boone, and Sandra Joireman. Mapping Settlement Schemes in Kenya. Nairobi: National Commission, 2019. ISBN 978-9966-1928-5-1. This is an approximately 70 page booklet that presents maps and some descriptive statistics pertaining to all Kenyan settlement schemes since 1962 for which we were able to obtain Survey of Kenya maps...
Jul 12, 2021 - Harvard Dataverse
Chen, Dan; Li, Yong; Wu, Jiebing, 2021, "Replication Data for: Policy Stringency, Political Conditions, and Public Performances of Pandemic Control: an international comparison", https://doi.org/10.7910/DVN/VM8GQ0, Harvard Dataverse, V1, UNF:6:UdwI17XPFIPm8/n+ej5tIw== [fileUNF]
replication data
Jul 29, 2020 - Harvard Dataverse
Tatum, Nathan, 2020, "2020 Virginia House of Delegates Demographics and Voting Behavior Dataset", https://doi.org/10.7910/DVN/BCMNAB, Harvard Dataverse, V1
The dataset contains the information collected on delegate demographics and voting behavior for all 100 members of the 2020 Virginia House of Delegates. Information is sectioned by columns. The first section lists the delegates by name and district. Following that is the section on delegate demographics, with information on political affiliation, g...
Oct 2, 2019 - Harvard Dataverse
Spera, Stephanie, 2019, "Large-Scale Mechanized Agricultural Crop Types across Mato Grosso, Goias, and Matopiba, Brazil", https://doi.org/10.7910/DVN/ZFHCTI, Harvard Dataverse, V1
Moderate Resolution Imaging Spectroradiometer (MODIS) was used to map annual large-scale mechanized agriculture across Mato Grosso, Tocantins, Goiás, Maranhão, western Bahia, and southern Piauí. All MODIS (MOD13Q1) Enhanced Vegetation Index (EVI), day of year (DOY), and VI Quality 16‐day, 250 m resolution data composited between August 2002 and Jul...
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