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1 to 10 of 117 Results

Abandoned U.S. Published Patent Applications (Jan. 1, 2000 to July 1, 2017) 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....
abandoned_published_patent_applications_Cotropia_Schwartz_2020.tab Jun 1, 2022 - Abandoned U.S. Published Patent Applications (Jan. 1, 2000 to July 1, 2017) Tabular Data - 6.4 MB - 1 Variables, 558201 Observations - UNF:6:MIZJVVEKa8zlCJnQ8/tpWg== List of "truly" abandoned U.S. published patent applications filed from Jan. 1, 2000 to July 1, 2017
2012 and 2010 Patent Holder and Litigation Dataset 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.
Cotropia_Kesan_Schwartz_2010_PatentHolderandLitigationDataset_5.28.14.tab Jun 1, 2022 - 2012 and 2010 Patent Holder and Litigation Dataset Tabular Data - 418.6 KB - 11 Variables, 4619 Observations - UNF:6:7IkSo4huGUElkyUHrmbTow== U.S. patent holder litigants from calendar year 2010 identified by entity type.
Cotropia_Kesan_Schwartz_2012_PatentHolderandLitigationDataset_5.28.14.tab Jun 1, 2022 - 2012 and 2010 Patent Holder and Litigation Dataset Tabular Data - 743.5 KB - 10 Variables, 5208 Observations - UNF:6:KhcaSVOfLPPmH8y2blDCmg== U.S. patent holder litigants from calendar year 2012 identified by entity type.
Redlining in Boston 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...
Boston_1938_HOLC.zip Apr 4, 2022 - Redlining in Boston Shapefile as ZIP Archive - 17.3 KB - MD5: 0d84764283b4172907b2ec9b474e28bd DataSpatial Data
Boston_Tracts_2010_HOLC.tab Apr 4, 2022 - Redlining in Boston Tabular Data - 3.1 KB - 3 Variables, 177 Observations - UNF:6:X+Wfu6+NElBG9UKkB7G4tw== Spatial Data
Documentation for Boston Redlining Map.pdf Apr 4, 2022 - Redlining in Boston Adobe PDF - 251.3 KB - MD5: c1cf56e50189d45edf8ec33465bef986 Documentation
Annual forest cover conditions across the Southwestern Amazon, 2003-2021 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...

Abandoned U.S. Published Patent Applications (Jan. 1, 2000 to July 1, 2017)

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....

abandoned_published_patent_applications_Cotropia_Schwartz_2020.tab

Jun 1, 2022 - Abandoned U.S. Published Patent Applications (Jan. 1, 2000 to July 1, 2017)

Tabular Data - 6.4 MB - 1 Variables, 558201 Observations -

List of "truly" abandoned U.S. published patent applications filed from Jan. 1, 2000 to July 1, 2017

2012 and 2010 Patent Holder and Litigation Dataset

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.

Cotropia_Kesan_Schwartz_2010_PatentHolderandLitigationDataset_5.28.14.tab

Jun 1, 2022 - 2012 and 2010 Patent Holder and Litigation Dataset

Tabular Data - 418.6 KB - 11 Variables, 4619 Observations -

U.S. patent holder litigants from calendar year 2010 identified by entity type.

Cotropia_Kesan_Schwartz_2012_PatentHolderandLitigationDataset_5.28.14.tab

Jun 1, 2022 - 2012 and 2010 Patent Holder and Litigation Dataset

Tabular Data - 743.5 KB - 10 Variables, 5208 Observations -

U.S. patent holder litigants from calendar year 2012 identified by entity type.

Redlining in Boston

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...

Boston_1938_HOLC.zip

Apr 4, 2022 - Redlining in Boston

Shapefile as ZIP Archive - 17.3 KB -

DataSpatial Data

Boston_Tracts_2010_HOLC.tab

Apr 4, 2022 - Redlining in Boston

Tabular Data - 3.1 KB - 3 Variables, 177 Observations -

Spatial Data

Documentation for Boston Redlining Map.pdf

Apr 4, 2022 - Redlining in Boston

Adobe PDF - 251.3 KB -

Documentation

Annual forest cover conditions across the Southwestern Amazon, 2003-2021

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...

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