基于聚电解质的无线无漂移离子电子传感器用于正畸传感(Science Advances图2-4源数据)

包含两名受试者14天正畸载荷(压力和扭矩)的传感器时间序列数据,用于验证无线无漂移离子电子传感器的性能。

Song, JiaSong, Jia
Figshare
2025-02-07 更新
浏览 14
时间序列iontronic electrolytedrift-freehigh Q factor
Polyelectrolyte-based wireless and drift-free iontronic sensors for orthodontic sensing (Source data for Fig. 2-4 of SCIENCE ADVANCES adu6086)

基本信息

模态
时间序列
大小
0.012701637 GB
许可
CC BY 4.0
创建/更新时间
2025-02-07
版本
v3

资源简介

基于聚电解质的无线无漂移离子电子传感器用于正畸传感(Science Advances图2-4源数据)

【数据集背景】

本数据集源站标题为《Polyelectrolyte-based wireless and drift-free iontronic sensors for orthodontic sensing (Source data for Fig. 2-5 of SCIENCE ADVANCES adu6086)》。项目资助方:National Natural Science Foundation of China: T2225017。源站首次发布:2025-02-07。

【数据内容】

源站原始描述:The real-time monitoring of health conditions of humans is a long-lasting topic, but there are two major challenges. First, many biomedical applications accept only implanted sensors. Second, tissue-like soft sensors often suffer from viscoelasticity-induced signal drift, causing inaccurate measurements. Here, we report a wireless and drift-free sensory system enabled by a low-creep polyelectrolyte elastomer. The system consists of ionotropic pressure sensors incorporating LC oscillators, exhibi…

【数据结构与技术规格】

文件数 5 个,合计 12.70 MB。FIG-2.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,1.08 MB。FIG-4.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,539.90 KB。数据集 DOI:10.6084/m9.figshare.28365911.v3。

【主题与分类】

源站学科分类:Other health sciences not elsewhere classified、Other physical sciences not elsewhere classified。主题标签:iontronic electrolyte、drift-free、high Q factor。

【适用方向】

时序数据适用于疾病进展预测、生理信号监测与事件发生的时序建模。

【获取与许可】

源站页面:https://figshare.com/articles/dataset/Polyelectrolyte-based_wireless_and_drift-free_iontronic_sensors_for_orthodontic_sensing/28365911

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Song, Jia (2025). Polyelectrolyte-based wireless and drift-free iontronic sensors for orthodontic sensing (Source data for Fig. 2-5 of SCIENCE ADVANCES adu6086). figshare. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

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有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "FIG-2.xlsx" "https://ndownloader.figshare.com/files/52192679"
curl -L -o "FIG-3.xlsx" "https://ndownloader.figshare.com/files/52193015"
curl -L -o "FIG-4.xlsx" "https://ndownloader.figshare.com/files/52192685"
curl -L -o "FIG-5.xlsx" "https://ndownloader.figshare.com/files/52192688"
curl -L -o "README.txt" "https://ndownloader.figshare.com/files/52193018"

文件清单

  • FIG-2.xlsx(1.08 MB)
  • FIG-3.xlsx(11.06 MB)
  • FIG-4.xlsx(539.90 KB)
  • FIG-5.xlsx(17.29 KB)
  • README.txt(3.19 KB)

文件总体积 12.70 MB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

The real-time monitoring of health conditions of humans is a long-lasting topic, but there are two major challenges. First, many biomedical applications accept only implanted sensors. Second, tissue-like soft sensors often suffer from viscoelasticity-induced signal drift, causing inaccurate measurements. Here, we report a wireless and drift-free sensory system enabled by a low-creep polyelectrolyte elastomer. The system consists of ionotropic pressure sensors incorporating LC oscillators, exhibiting a combined low drift ratio, high Q-factor, high robustness to interferences, and wide-range measurement, superior to other capacitive sensors using regular dielectrics or ionogels. We have recorded 14-day orthodontic loads of two subjects using the system, showing pressure decreasing from 300 to 50 kPa and torque from 12.5 to 0.5 N·mm. The wireless, drift-free sensory system may be extended to other implants for long-term and accurate sensing.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.28365911.v3(source: https://figshare.com/articles/dataset/Polyelectrolyte-based_wireless_and_drift-free_iontronic_sensors_for_orthodontic_sensing/28365911)。

数据缺失?

依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

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