# Dataset `kaal:entity:dataset` **Status.** derived This node is assembled mechanically from the 9 claims that carry the concept tag `dataset`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself. ## Every claim under this term 9 claims across 8 works, 2015 to 2023. **2015** - [2629451-009](https://wulfkaal.github.io/claims/2629451-009) [empirical/evidenced] -- The study's hand-selected dataset covers all institutions that executed N/DPAs from 1993 to 2015, a population of 330 agreements, of which 94 involved publicly traded firms usable for stock price tests. > Our hand-selected dataset comprises all institutions that executed N/DPAs from 1993 to 2015 (N=330) and are publicly traded (N=94). Wulf A. Kaal, Timothy Lacine, Stock Price Response to Non- and Deferred Prosecution Agreements (2015). SSRN: https://ssrn.com/abstract=2629451 **2016** - [2740477-006](https://wulfkaal.github.io/claims/2740477-006) [empirical/evidenced] -- The empirical base for the argument is a PitchBook dataset covering 77,508 completed United States venture capital deals involving 37,298 companies across all venture capital stages from 2005 to 2015. > To illustrate venture capital's ability to identify innovation trends, we use a PitchBook Data, Inc. dataset on venture capital deals in the United States with 77,508 deals involving 37,298 companies from 2005 to 2015. Wulf A. Kaal, Erik P.M. Vermeulen, Venture Capital as Dynamic Regulation of Disruptive Innovation (2016). SSRN: https://ssrn.com/abstract=2740477 - [2808132-038](https://wulfkaal.github.io/claims/2808132-038) [empirical/evidenced] -- The study's evidence base is a PitchBook dataset of 77,508 United States venture capital deals involving 37,298 companies from 2005 through 2015, covering all venture capital deals and all venture capital stages. > innovation trends, we use a PitchBook Data, Inc. dataset on venture capital deals in the United States. The dataset comprises 77,508 deals involving 37,298 companies from 2005 through 2015. It includes all VC deals and all VC stages. Wulf A. Kaal, Erik P.M. Vermeulen, How to Regulate Disruptive Innovation - From Facts to Data (2016). SSRN: https://ssrn.com/abstract=2808132 **2017** - [2959730-003](https://wulfkaal.github.io/claims/2959730-003) [empirical/evidenced] -- Using a hand coded dataset of 98 private investment fund advisers that use blockchain technology in their strategy or internal operations, the article shows that advisers using the new technology are able to charge overall lower fees. > Using a dataset of private investment fund advisers that utilize blockchain technology in their investment strategy or internal operations (N=[98]), this article shows that the fund advisers who use the new technology are able to charge overall lower fees. Wulf A. Kaal, Blockchain Applications and Fee Structure Developments in Private Investment Funds (2017). SSRN: https://ssrn.com/abstract=2959730 - [2998033-037](https://wulfkaal.github.io/claims/2998033-037) [empirical/evidenced] -- In the study's dataset the clear majority of private investment funds using blockchain technology are engaged in venture capital rather than hedge fund or private equity strategies. > Figure 3 shows that the clear majority of private investment funds in the dataset is engaged in venture capital. Wulf A. Kaal, Blockchain Innovation for Private Investment Funds (2017). SSRN: https://ssrn.com/abstract=2998033 **2018** - [3249860-015](https://wulfkaal.github.io/claims/3249860-015) [empirical/evidenced] -- Because tokens move in and out of the top 100 daily, the study limits its time series dataset to all available data on the top 100 cryptocurrencies until April 2018, selecting coins by market capitalization before April 2018. > Accordingly, the author limited the time series dataset to all available data on the top 100 cryptocurrencies until April 2018. The author chose cryptocurrencies for inclusion in the dataset based on the market capitalization of the respective coins before April 2018. Wulf A. Kaal, Crypto Economics - The Top 100 Token Models Compared (2018). SSRN: https://ssrn.com/abstract=3249860 **2020** - [3709041-029](https://wulfkaal.github.io/claims/3709041-029) [empirical/evidenced] *(failure mode)* -- In a proprietary dataset of thirty three blockchain for good projects, the projects proliferated between 2013 and 2017 and peaked in 2017, and many of them did not launch successfully or perished over time. > Figure 1 shows that blockchain for good projects proliferated between 2013-17 and peaked in 2017. Many of the projects in the dataset did not launch successfully or perished over time. Kaal, Blockchain Technology for Good (2020). SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3709041 - [3709041-031](https://wulfkaal.github.io/claims/3709041-031) [empirical/evidenced] -- In the author's dataset, the overwhelming majority of blockchain for good projects cluster in healthcare, exchanges, environmental protection, and charities. > The data suggest that the overwhelming majority of projects in the blockchain for good context are in healthcare, exchanges and in the environmental protection sectors, as well as charities. Kaal, Blockchain Technology for Good (2020). SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3709041 **2023** - [4529715-001](https://wulfkaal.github.io/claims/4529715-001) [empirical/evidenced] -- The paper's empirical basis is a dataset of DAOs selected by the assets held in their treasuries, drawn from across different industries. > The paper provides a dataset (N=[65]) analysis for the DAOs in the dataset selected by assets in DAO treasury across different industries. Wulf A. Kaal, Josh Bykowski, Decentralized Autonomous Organizations (DAO) – A Market Meta Analysis (2023). SSRN: https://ssrn.com/abstract=4529715 ## Verify Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust. curl -s https://wulfkaal.github.io/entities/dataset.md | sha256sum **Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.