five

2017 AUV Sentry vehicle-corrected navigation and raw magnetic sensor data, Axial Seamount

收藏
DataCite Commons2024-08-16 更新2025-04-16 收录
下载链接:
https://www.marine-geo.org/doi/10.26022/IEDA/331046
下载链接
链接失效反馈
官方服务:
资源简介:
This data set consists of raw magnetic field measurements and vehicle-corrected navigation for autonomous underwater vehicle (AUV) Sentry dives over Axial Seamount, Juan de Fuca Ridge collected in 2017 during research cruise RR1712 on R/V Roger Revelle. AUV Sentry is operated as part of National Deep Submergence Facility (NDSF) by Woods Hole Oceanographic Institution (WHOI) and is funded by the National Science Foundation (NSF). The AUV Sentry magnetometer is an APS (Applied Physics Systems) model 1540 3-axis fluxgate sensor (https://www.appliedphysics.com/products/magnetometers/). AUV Sentry has three magnetometer sensors, two are located mid-body on the port and starboard side and one is located in the top of the vehicle. These data files contain raw magnetic field data from the 'top' sensor which is also identified as the '02' sensor. Navigation is by USBL. The data files are in ASCII format with the following columns: year, month, day, hour, min, sec, latitude (dec. degrees), longitude (dec. degrees), depth (meters), pressure (decibars), heading (degrees), altitude (meters), mag02x (nT), mag02y (nT), mag02z (nT), optical backscatter sensor OBS (volts), redox potential eh (volts), rate of change of redox potential dehdt (volts/second), oxygen O2 (micromolar), temperature (celsius), conductivity (siemens/meter), sound speed (meters/second), sound velocity profile SVP (meters/second), oxygen reduction potential (volts). The data set was collected under grant OCE17-36882 from the National Science Foundation. The AUV Sentry magnetic data were analyzed and interpreted under a Woods Hole Oceanographic Institution (WHOI) internal research grant to Maurice Tivey and with additional support for Bailey Fluegel by the WHOI Summer Student Fellow program in 2021. The data set is described in Fluegel et al., GRL, 2022.
提供机构:
Interdisciplinary Earth Data Alliance (IEDA)
创建时间:
2022-07-13
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作