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Predictive maintenance, quality control, supply chain, industrial sensors, factory automation
826 datasets
Parameter assignment data for closed-loop supply chains, authored by Qing Ma. The dataset is a 5.5 KB Excel file last updated on May 22, 2026. Its specific row count and column details are not provided in the metadata.
Parameter assignments for closed-loop supply chains are provided in a 5.5 KB Excel file. Qing Ma authored this dataset, which was last updated on May 22, 2026. The data is shared under a CC-BY-4.0 license on the figshare platform.
A dataset by Qing Ma on figshare, last updated May 22, 2026. The data, stored in an XLS file, is 5.5 KB in size and focuses on parameter assignment for closed-loop supply chains. Its specific geographic and temporal coverage are not detailed in the provided metadata.
5.5 KB of parameter assignments for closed-loop supply chains, shared by Qing Ma on figshare. The dataset is available under a CC-BY-4.0 license and was last updated on May 22, 2026. Its specific content and row count are not detailed in the provided metadata.
Quantitative indicators of supply chain cyberattacks compiled by Xue Zhang. The dataset is available as an XLS file of 5.5 KB size and was last updated on May 22, 2026.
Fisheries and Oceans Canada provides seasonal climatologies for temperature, salinity, and sigma-t in the Northeast Pacific Ocean. The data was computed from historical CTD, bottle, XBT, and Argo observations spanning 31 years from 1980 to 2010. Calculations were performed across sixty-five subregions and up to fifty-two vertical levels from the surface to 5000m depth.
Nikhil Sudhakaran published vibration run-to-failure data from bearing fatigue testing on an FE8 Test Rig in April 2026. The 74.5 GB dataset contains five tests recorded with a triaxial accelerometer, with data stored in Parquet format. Each file includes timestamps and vibration measurements along the x, y, and z axes.
Payments to Members of the Legislative Assembly in New Brunswick are disclosed for the calendar year ended December 31, 2020 and the fiscal year ended March 31, 2021. The data is published by the Government of New Brunswick and was last updated on April 17, 2026. It likely contains salary, constituency office expenses, car allowances, travel, and other expense details.
Salary and expense disclosures for Members of the Legislative Assembly in New Brunswick. Salary data covers the calendar year ended December 31, 2023, while constituency office expenses, car allowances, travel, and other expenses cover the fiscal year ended March 31, 2024. The dataset is published by the Government of New Brunswick and was last updated in April 2026.
Salary disclosure is based on the calendar year ended December 31, 2024, while disclosure of constituency office expenses, car allowances, travel and other expenses are for the fiscal year ended March 31, 2025. The dataset is published by the Government of New Brunswick under the OGL-CA-2.0 license. It was last updated on April 17, 2026.
Salary, constituency office, car allowance, and travel expense disclosures for Members of the Legislative Assembly in New Brunswick. Salary data covers the calendar year ended December 31, 2021, while expense data covers the fiscal year ended March 31, 2022. The dataset is provided by the Government of New Brunswick and was last updated on April 17, 2026.
New Brunswick's Government discloses payments to Members of the Legislative Assembly. Salary data covers the calendar year ended December 31, 2022, while expenses cover the fiscal year ended March 31, 2023. The dataset is provided by the Government of New Brunswick under an open license.
Disclosures for the fiscal year ended March 31, 2020 cover constituency office expenses, car allowances, travel, and other expenses for Members of the Legislative Assembly. Salary disclosure is based on the calendar year ended December 31, 2019. The data is published by the Government of New Brunswick.
Raw quantitative data supporting a study on how extrinsic matrix metalloproteinases drive epithelial shape change in the Drosophila wing disc. The dataset is hosted on figshare by author Chigusa Hinata and was last updated on May 8, 2026. The data files are in XLSX format and total 161.4 KB.
FNA T2T assembly supplementary files include raw haploid assemblies generated by Hifiasm. The dataset comprises FASTA files for haploid assemblies, a GFA file of raw assembly output, an index file, and a GFF3 file for gene structure annotation. The dataset was authored by lianyu lin and last updated on 2026-05-11.
Annual Information Statements (AIS) lodged by charities registered with the Australian Charities and Not-for-profits Commission (ACNC) for the 2018-19 reporting period. The dataset includes financial and operational information submitted by charities, with data updated weekly by the ACNC.
Sample metadata includes sample names, regions of origin, and quality control information. The dataset is a 13.7 KB XLSX file authored by Anthony M. Bonacolta and last updated on May 18, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Assembly101 is a procedural activity dataset featuring 4321 videos of people assembling and disassembling 101 "take-apart" toy vehicles. Participants worked without fixed instructions, resulting in natural variations in action ordering, mistakes, and corrections. The dataset was created by cvml-nus and includes simultaneous static and egocentric recordings.
Weekly freight data is compiled by a U.S. Department of Transportation interagency working group, led by the Bureau of Transportation Statistics. It covers port operations, freight movement, and transportation labor across four key areas. The dataset includes weekly updates from May 2025, incorporating data from the merged Canadian Pacific Kansas City railroad.
Haiti's annual trade data from 2009 to 2025, compiled from three official Haitian administrative sources. The dataset supports replication of long-run structural analyses, including ARDL-ECM elasticities and vector error correction models. It was created by Claudel Mombeuil and published via Harvard Dataverse in 2026.