遇见数据集

Raw Data Matrix: Seasonal Wind Flux and Gravitational Variation

收藏
Zenodo2026-07-04 更新2026-08-01 收录
官方服务:

资源简介:

README: Seasonal Wind Flux and Gravitational Variation Dataset Companion documentation for open-access repository mapping planetary boundary layer velocity fields against localized gravitational anomalies. 1. Dataset Overview & Legal Notice This README file provides detailed documentation, provenance data, and structural specifications for the raw data matrix accompanying the published conference paper outlined below. This dataset represents long-term empirical evaluations tracking localized surface dynamics within a tropical station framework. CRITICAL LEGAL NOTICE: This dataset is distributed openly under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Users are legally permitted to distribute, remix, adapt, and build upon this material in any medium or format, subject to MANDATORY attribution. Failure to formally cite this dataset and its parent publication in any derivative academic works, institutional briefs, or computational models constitutes a direct violation of copyright terms. 2. Mandatory Citation Formats A. Primary Dataset Citation Adiaha, M. S., Chude, V. O., Oku, E. E., Nwaka, G. I., Abimbola, O. J., Rajendra, I. K., & Abam, P. O. (2026). Raw Data Matrix: Seasonal Wind Flux and Gravitational Variation (1.0.0) [Data set]. 48th Annual Conference of the Soil Science Society of Nigeria (SSSN 2024), Abuja, Nigeria. Zenodo. https://doi.org/10.5281/zenodo.21196220 B. Parent Conference Publication Citation Adiaha, M. S., V. O. Chude, E. E. Oku, G. I. Nwaka, O. J. Abimbola, I. K. Rajendra and P. O. Abam (2025). Mathematical Exploration of Earth Gravitational Field Impact on Seasonal Wind Flux in a Tropical Region. In: Adeboye, M. K. A., O. J. Jayeoba, M. Bello, N. Abdu (eds.). Soil Health and Climate Smart Agriculture (CSA) for Resilient Food Security Systems. Proceedings of the 48th Annual Conference of the Soil Science Society of Nigeria, Abuja, Nigeria. HAL ID: hal-05667808. 3. File Inventory & Specifications The dataset is comprised of a single, highly curated tabular matrix designed for verification and algorithmic modeling. The properties are as follows: · File Name: Wind Speed and Gravitational Variation.xlsx · Format: Microsoft Excel Spreadsheet (.xlsx) · Data Type: Time-series annual averages tracking planetary boundary layer velocity against localized absolute gravity variation fields. 4. Structural Data Dictionary & Sample Matrix The fields contained within the spreadsheet are structured as follows: Year Average Wind Speed (m/s) Gravitational Variation (mGal) 2010 5.3 9.8 2011 5.1 9.7 2012 5.4 9.9 2013 5.2 9.6 2014 5.3 9.8 2015 5.5 9.7 2016 5.6 9.6 2017 5.4 9.8 2018 5.5 9.9 2019 5.3 9.8 2020 5.2 9.7 5. Technical Parameters & Experimental Provenance · Average Wind Speed (m/s): Represents continuous integrated observations capturing boundary layer velocity vectors over a localized sub-tropical tracking station. Data points represent annualized aggregate modes. · Gravitational Variation (mGal): Expressed in milligals (1 mGal = 10^-5 m/s^2), reflecting temporal micro-gravitational field shifts adjusted for structural tidal corrections, elevation baseline constants, and latitude anomalies. 6. Institutional Contact & Integrity Metadata For enquiries related to the structural physics equations, data processing algorithms, or replication protocols, please address correspondence to: Dr. Monday Sunday AdiahaLead Principal Researcher / Academic PolymathFederal Capital Territory, Abuja, Nigeria.Institutional Focus: Space and Atmospheric Physics, Soil Physics, Theoretical Geohydrology, and Atmospheric Fluid Dynamics.

提供机构:
Zenodo
创建时间:
2026-07-04
二维码
社区交流群
二维码
科研交流群
商业服务