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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
6,246 datasets
A PDF document presents in vitro results for a novel ferritin-derived nanomedicine platform named The-05. The platform is designed to encapsulate and deliver KRASG12C inhibitors and degraders, activated by tumor microenvironment enzymes MMP-2 and MMP-9. The study, authored by Annalisa Pia Abbinantefina and shared on figshare in March 2026, provides proof-of-concept data for enhanced drug delivery in KRAS-mutated cancer cell models.
A PDF document describes a novel ferritin-derived nanomedicine platform, The-05, designed for tumor microenvironment-activated delivery of KRASG12C inhibitors and degraders. The study provides in vitro proof-of-concept for delivering Adagrasib and the PROTAC degrader LC-2 to KRAS-mutated non-small cell lung cancer and pancreatic ductal adenocarcinoma cellular models. The dataset was authored by Annalisa Pia Abbinantefina and last updated on March 17, 2026.
A 22.0 MB dataset from a 2026 study by Ruihua Xin on the TRIM28-MAVS axis in antiviral immunity. The data supports findings that TRIM28 promotes K48-linked ubiquitination of MAVS to suppress RIG-I signaling. It includes results from confocal microscopy, co-immunoprecipitation, and in-cell ubiquitination assays.
13.4 MB of experimental data from a study on TRIM28's role in suppressing antiviral immune responses. The dataset includes results from TRIM28 overexpression, knockdown, and domain deletion assays, as well as protein interaction and ubiquitination analyses. Author Ruihua Xin published the findings on figshare in March 2026.
This dataset contains experimental results from a study on the TRIM28 protein's role in antiviral innate immunity. The research includes data from TRIM28 overexpression and knockdown systems, protein interaction assays, and in vivo validation using an AAV-mediated lung-specific model. It examines CRM1-dependent nuclear export of TRIM28 and its promotion of K48-linked ubiquitination on MAVS to suppress RIG-I signaling.
21.6 MB of experimental data from a study on the TRIM28-MAVS axis in antiviral immunity. The dataset includes results from overexpression, knockdown, and ubiquitination assays, authored by Ruihua Xin and shared under a CC BY 4.0 license. Specific row and column counts are not provided.
119.9 KB Excel file contains experimental results from a study on TRIM28's role in suppressing antiviral immunity. The dataset includes measurements from TRIM28 knockdown/overexpression systems, protein interaction assays, and ubiquitination site analysis on MAVS. Author Ruihua Xin published the data in 2026 under a CC BY 4.0 license.
Public Health – Seattle & King County provides data on lead concentrations in consumer products collected from community testing events, in-home investigations, and research purchases. Two testing methods, X-ray fluorescence screening and laboratory analysis, are used to measure lead in items ranging from cookware to cosmetics. Results are reported in parts per million (ppm) and can be compared to regulatory limits.
A tabular dataset of 16,384 grid cells representing a 2D pathfinding problem with obstacles and uniform speed. It serves as a benchmark for the Optical Neuromorphic Eikonal Solver, which demonstrates significant speedups over CPU Dijkstra. The dataset was created by Francisco Angulo de Lafuente and is licensed under CC BY 4.0.
OpticalNeuromorphicEikonal_medium_256 is a 256x256 grid pathfinding benchmark dataset containing 65,536 cells. It was created by Francisco Angulo de Lafuente to evaluate GPU-accelerated navigation algorithms. The dataset simulates a 2D environment with a 20% obstacle density and uniform speed field.
261,121 grid cells represent a 2D pathfinding problem with 30% obstacle density, created by Francisco Angulo de Lafuente. The dataset is designed to benchmark GPU-accelerated navigation algorithms, specifically the Optical Neuromorphic Eikonal Solver, which achieves a 135x average speedup over CPU Dijkstra. It includes columns for coordinates, obstacles, speed fields, and source/target points.
A 65,536-cell grid dataset for benchmarking GPU-accelerated navigation algorithms. It was created by Francisco Angulo de Lafuente to evaluate the Optical Neuromorphic Eikonal Solver, which reportedly achieves a 135x average speedup over CPU Dijkstra. The dataset models a 2D pathfinding problem with 20% obstacle density and a gradient speed field.
Greater Shepparton City Council provides geospatial data on municipal drain pits. The dataset includes multiple file formats like SHP and GEOJSON for integration with GIS software. It was published by the Greater Shepparton City Council and was last updated in April 2026.
Greater Shepparton City Council drain pits are documented in this geospatial dataset. The data is provided by the Greater Shepparton City Council and was last updated in April 2026. The council notes the data may not be definitive or error-free.
Greater Shepparton City Council provides geospatial data on both council and privately owned parking bays. The dataset includes parking zone boundaries and is available in multiple GIS formats. It was last updated in April 2026.
Greater Shepparton City Council provides geospatial data on parking zones within its jurisdiction. The dataset includes both council-owned and privately owned parking bays. It was last updated in April 2026.
Greater Shepparton City Council provides a geospatial dataset of kerb locations within its jurisdiction. The dataset was last updated in April 2026 and is published under a Creative Commons Attribution 4.0 license. The council notes the data may not be definitive or error-free.
Greater Shepparton City Council provides geospatial data on kerb infrastructure within its jurisdiction. The dataset is published under a Creative Commons license and was last updated in April 2026. It is available in multiple geospatial formats including GeoJSON, SHP, and WFS.
Greater Shepparton City Council provides geospatial data delineating roadside conservation zones. The dataset includes multiple file formats like GEOJSON, SHP, and WMS for mapping and analysis. It was last updated in April 2026 by the local council authority.
Greater Shepparton City Council provides geospatial data on roadside conservation zones within its jurisdiction. The dataset includes vector data available in multiple formats including GeoJSON, SHP, and WFS. It was last updated in April 2026 by the Greater Shepparton City Council.