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Predictive maintenance, quality control, supply chain, industrial sensors, factory automation
1,034 datasets
Sarah B. Browning engineered Escherichia coli to display elastin-like polypeptides (ELPs), creating self-assembling living materials. The dataset, last updated on 2026-05-28, likely contains experimental results from tuning ELP polarity to generate assemblies from micrometer to centimeter scales. It includes data on controllable flocculation, filtration time reduction by more than 3-fold, and maintained ethanol production in small-scale fermentation.
A noise and vibration impact assessment report for a road upgrade project in New South Wales, Australia. The document is published by the NSW Government on data.gov.au and is licensed under OGL-CA-2.0. It was last updated on June 26, 2026.
IoT sensor locations and types deployed by the City of Casey. The data includes pedestrian movement sensors across various sites within the municipality. It is provided in multiple geospatial and tabular formats, including SHP, GEOJSON, KML, CSV, JSON, and XLS.
A working paper appendix from an environmental impact statement for the M1 Pacific Motorway extension to Raymond Terrace in New South Wales, Australia. The document is published by the NSW Government on data_gov_au and is scheduled for an update in 2026. It likely contains technical analysis and data related to noise and vibration impacts of the proposed road project.
A PDF report from the NSW Government, last updated 2026-06-26, likely contains an environmental impact assessment for a highway upgrade project in Medlow Bath. The document focuses on noise and vibration impacts, as indicated by its title. It is published under the OGL-CA-2.0 license on the data_gov_au platform.
A PDF report titled 'Kamay Ferry Wharves: environmental impact statement : appendix O - surface noise and vibration impact assessment report' published by the NSW Government on data_gov_au. The document likely contains an assessment of noise and vibration impacts associated with ferry wharf infrastructure. It was last updated on 2026-06-26.
Data associated with the paper 'Self-Assembly of Fractal Liquid Crystal Colloids' by Nikita V. Solodkov from the University of Leeds. The dataset includes experimental measurements and numerical simulations used to construct a specific figure in the publication. The data likely contains measurements of primary and characteristic orbit capacities.
A government media release from 2009 discussing the creation of 100 jobs in a new logistics hub in Western Sydney. The document is published by the NSW Government on data.gov.au under an open license. The content likely details the economic announcement and related policy context.
NSW Government environmental impact statement for the M1 Pacific Motorway extension to Raymond Terrace. The document is a working paper focusing on noise and vibration assessments, published on data_gov_au. The file format is PDF.
An appendix to the Review of Environmental Factors for the Henry Lawson Drive upgrade, stage 1A. The document likely contains an assessment of noise and vibration impacts associated with the road construction project. It is published by the NSW Government on data_gov_au under an OGL-CA-2.0 license.
NASA's dataset provides experimental data from an accelerated aging test on a set of identical electrolytic capacitors subjected to electrical overstress. The data forms the basis for developing a Kalman-filter-based algorithm to predict the component's remaining useful life. This case study supports a model-driven prognostics methodology for these critical, low-reliability electrical components.
Jinshuai Zhang's dataset contains monthly data from January 2015 to December 2025 used to analyze feed cost shocks and profitability pressure in China's hog supply chain. The data underpins a nonlinear autoregressive distributed lag (NARDL) model examining relationships between feed costs, piglet prices, and downstream hog-sector outcomes. The dataset was last updated on 2026-05-14.
Monthly data from January 2015 to December 2025 examines the relationship between feed costs, piglet prices, and producer margins in China's hog industry. The dataset supports a nonlinear autoregressive distributed lag (NARDL) model analysis to assess profitability pressure and price dynamics. It was authored by Jinshuai Zhang and last updated in May 2026.
Monthly data from January 2015 to December 2025 underpins a nonlinear autoregressive distributed lag (NARDL) analysis of China's hog supply chain. Author Jinshuai Zhang uses this data to examine the link between feed cost shocks, hog prices, and producer profitability pressure. The findings highlight piglet prices as having a larger long-run association with hog prices than direct feed cost shocks.
Monthly data from January 2015 to December 2025 examines feed cost shocks and profitability pressure in China's hog supply chain. The dataset supports a nonlinear autoregressive distributed lag (NARDL) model analysis of hog prices, piglet prices, and producer margins. It was authored by Jinshuai Zhang and last updated on 2026-05-14.
Monthly data from January 2015 to December 2025 examines the relationship between feed costs, piglet prices, and downstream outcomes in China's hog sector. The dataset, authored by Jinshuai Zhang and last updated in May 2026, supports a nonlinear autoregressive distributed lag (NARDL) analysis to assess profitability pressure and price dynamics. It is shared under a CC-BY-4.0 license on figshare.
China's hog supply chain is analyzed using monthly data from January 2015 to December 2025. The dataset likely contains time-series variables for feed costs, piglet prices, hog prices, and producer margins. It was authored by Jinshuai Zhang and last updated on 2026-05-14.
Table 7_Feed cost shocks and profitability pressure in China’s hog supply chain contains monthly data from January 2015 to December 2025, used for nonlinear autoregressive distributed lag (NARDL) analysis. The dataset, authored by Jinshuai Zhang and shared under a CC-BY-4.0 license, examines the relationship between feed costs, piglet prices, and downstream hog-sector outcomes. It was last updated on figshare in May 2026.
China's hog supply chain is analyzed using monthly data from January 2015 to December 2025. The dataset supports a nonlinear autoregressive distributed lag (NARDL) model examining links between feed costs, piglet prices, and producer margins. It was created by Jinshuai Zhang and last updated in May 2026.
China's hog supply chain is analyzed using monthly data from January 2015 to December 2025. The dataset supports a nonlinear autoregressive distributed lag (NARDL) model examining links between feed cost shocks, piglet prices, and producer profitability. It was authored by Jinshuai Zhang and last updated in May 2026.