Links to Machine Learning Datasets


Showing from 7515 datasets
#Dataset NameDataset LinkDescription
1CES 2020, Team Module of University of Massachusetts, Boston (UMB)https://doi.org/10.7910/DVN/EVECPE is dataverse contains the data and supporting documents for the CES 2020 Team Module of the University of Massachusetts, Boston. This project was supported by the National Science Foundation, Grant Number SES-194886
2CES 2020, Team Module of University of Massachusetts (UMA)https://doi.org/10.7910/DVN/LOWMSF is dataverse contains the data and supporting documents for the CES 2020 Team Module of the University of Massachusetts. This project was supported by the National Science Foundation, Grant Number SES-194886
3CES 2020, Team Module of University of Illinois (UIL)https://doi.org/10.7910/DVN/Q96KER is dataverse contains the data and supporting documents for the CES 2020 Team Module of the University of Illinois. This project was supported by the National Science Foundation, Grant Number SES-194886
4FORTE Optical / RF Coincidence Datahttps://doi.org/10.7910/DVN/AXWRQS A-UR 22-20054. Data to accompany the publication ""FORTE Measurements of Global Optical Lightning Waveforms and Implications for Optical Lightning Detection"
5Dataset: Blue Food policy objectives: an analysis of opportunities and trade-offshttps://doi.org/10.7910/DVN/ILA0XI he paper ""Blue Food policy objectives: an analysis of opportunities and trade-offs"" integrates the findings of an initiative to assess the multiple roles of blue foods in food systems worldwide (https://www.bluefood.earth/) and translates them into four policy objectives aimed at realizing the contributions of aquatic foods to more nutritious, just, resilient and environmentally sustainable food systems. This dataset contains the variables used to assess conditions (at the level of nations) when blue food policy objectives are likely to be relevant. The R code used for Boolean analysis is available here: https://github.com/emmywas/BFA_Policy_analysi
6Replication Data for: JDhttps://doi.org/10.7910/DVN/MVHJTL e datasets contains the data of light absorption and chemical composition and EEM analysi
7Replication Data for: Patronage and Presidential Coalition Formationhttps://doi.org/10.7910/DVN/XPQCSQ his repository contains the data and code necessary to replicate the results in the paper ""Patronage and Presidential Coalition Formation"" accepted in Political Research Quarterly
8Replication Data for: LRO WAC image (100 m/pixel), Lunar Prospector Gamma Ray Spectrometer Th abundance map (2 degrees/pixel), and the global mare basalt lithologic map with ~0.5 wt % rock abundance (128 ppd, between 70degN/S)https://doi.org/10.7910/DVN/4AR0UR plication Data for: LRO WAC image (100 m/pixel), Lunar Prospector Gamma Ray Spectrometer Th abundance map (2 degrees/pixel), and the global mare basalt lithologic map with ~0.5 wt % rock abundance (128 ppd, between 70degN/
9hsscomms-04843https://doi.org/10.7910/DVN/CKBBB5 is file included datasets that supported this stud
10Making the bourgeoisie? Values, voice, and state-provided homeownershiphttps://doi.org/10.7910/DVN/VWWAHK at are the effects of state-provided homeownership on political values and voice? Homeownership is expected to lead to more conservative attitudes and more political engagement. At the same time, the receipt of government benefits should increase claim-making and support for redistribution. We employ two original surveys of 3,000 participants of lotteries used to select beneficiaries for the Minha Casa, Minha Vida housing program in Rio de Janeiro, Brazil, to determine which prediction prevails. We compare winners and non-winners at two points in the program and find that recent lottery winners -- those who have not yet moved -- report more conservative values. Early lottery winners, in contrast, are not more conservative but are more politically active than non-winners. Exploratory analysis and qualitative interviews indicate that winners' negative experiences of the program's administration, and not necessarily with the housing unit provided, generate this resul

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