DCN-368: Answering Private Linear Queries …
Dataset citation “Answering Private Linear Queries Adaptively using the Common Mechanism” available from ScholarSphere at https://scholarsphere.psu.edu/resources/3ba34a49-6cd2-4404-a340-f7ddcb67615e
DCN-367: Differentially Private Hierarchical …
Dataset citation “Differentially Private Hierarchical Count-of-Counts Histograms” available from ScholarShpere at https://scholarsphere.psu.edu/resources/fed5a7ed-388e-454b-b24c-2589c67d3751.
DCN-366: LightDP: Towards Automating…
Dataset citation “LightDP: Towards Automating Differential Privacy Proofs” available from ScholarShpere at https://scholarsphere.psu.edu/resources/38a5f48d-333d-48b6-b738-5f11309e6164.
DCN-365: Optimizing Fitness-For-Use of Differentially…
Dataset citation “Optimizing Fitness-For-Use of Differentially Private Linear Queries” available from ScholarShpere at https://scholarsphere.psu.edu/resources/0f0d57f8-20d6-42f4-8601-f4f823d63bd0.
DCN-331: Code and Data: Agent-Based Model…
Dataset citation “Code and Data: Agent-Based Model of Network Deliberation” was withdrawn from Deep Blue Data.
DCN-397: MLP neural network trained on…
Dataset citation “MLP neural network trained on the QCL [-2, +3] Å dataset” available from Princeton University at https://doi.org/10.34770/e034-4670
DCN-398: Quantum cascade laser…
Dataset citation “Quantum cascade laser transition code” available from Princeton University at https://doi.org/10.34770/z3r2-hg07
DCN-356: Machine-learning Approach to Detecting…
Dataset citation “Machine-learning Approach to Detecting and Analyzing Meteor Echoes (MADAME)” available from Penn State Scholarsphere at https://scholarsphere.psu.edu/resources/d3ae6356-4c9b-48b0-9159-4a1361026d37
DCN-396: Prevalence of Bias against Neurodivergence-Related…
Dataset citation “Prevalence of Bias against Neurodivergence-Related Terms in Artificial Intelligence Language Models” available from Duke University at https://doi.org/10.7924/r4xw4mn8r
DCN-383: Data for “Gaming self-consistent field…”
Dataset citation “Data for “Gaming self-consistent field theory: Generative block polymer phase discovery”” available from the Data Repository for the University of Minnesota at https://doi.org/10.13020/qv23-pp07