Draw & Doodle Simulation
包含电子舞曲音乐节医疗应急手绘模拟案例及参与者反馈评分文本数据。

基本信息
资源简介
Draw & Doodle Simulation
【一句话概览】
本数据集是 figshare 公开的文本数据集,收录 2 个文件、合计 1.05 MB,主题涵盖 Simulation、low-fidelity、drawing,可用于医学自然语言处理(实体识别、信息抽取等),CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Draw & Doodle Simulation: A colorful strategy to prepare medical teams for electronic dance music festival emergencies》。配套论文《Draw & Doodle Simulation: A colorful strategy to prepare medical teams for electronic dance music festival emergencies》发表于 Medical Teacher(2024),DOI:10.1080/0142159X.2024.2372083。项目资助方:Not applicable.。源站首次发布:2024-07-01。
【数据内容】
源站原始描述:Electronic dance music (EDM) festivals – crowded, loud, low-resource environments – pose unique challenges to event medical teams. Simulation can prepare teams to manage clinical presentations in this unconventional context. Without access to simulation infrastructure, a low-technological, low-fidelity simulation modality is warranted. Draw & Doodle Simulation (D&D SIM) is a low-fidelity simulation where patients are hand-drawn (i.e. on paper, whiteboard, or digitally) instead of utilizing manik…
【数据结构与技术规格】
文件数 2 个,合计 1.05 MB。cmte-2024-0813-File003.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,891.17 KB。cmte-2024-0813-File004.pdf:application/pdf,153.84 KB。数据集 DOI:10.6084/m9.figshare.26134862.v1。
【主题与分类】
源站学科分类:Medicine、Sociology、Immunology、Biological Sciences not elsewhere classified、Information Systems not elsewhere classified、Computational Biology。主题标签:Simulation、low-fidelity、drawing。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://tandf.figshare.com/articles/dataset/Draw_Doodle_Simulation_A_colorful_strategy_to_prepare_medical_teams_for_electronic_dance_music_festival_emergencies/26134862
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Draw & Doodle Simulation: A colorful strategy to prepare medical teams for electronic dance music festival emergencies. Taylor & Francis. Seto, Anthony; Hass, Connor; Krane, Ella; Montgomery, Liam; Lam, David; McCue, Michael
【使用注意】
· 源站最后修改于 2025-01-21,引用时请注意版本时效。
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。
免登录有偿下载
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)
- 源站标题:Draw & Doodle Simulation: A colorful strategy to prepare medical teams for electronic dance music festival emergencies
- DOI:10.6084/m9.figshare.26134862.v1
- 发布日期:2024-07-01
- 文件数:2 个
- 文件总体积:1.05 MB
- 源站页面:https://tandf.figshare.com/articles/dataset/Draw_Doodle_Simulation_A_colorful_strategy_to_prepare_medical_teams_for_electronic_dance_music_festival_emergencies/26134862
命令行下载
curl -L -o "cmte-2024-0813-File003.docx" "https://ndownloader.figshare.com/files/47340005"
curl -L -o "cmte-2024-0813-File004.pdf" "https://ndownloader.figshare.com/files/47340008"
文件清单
cmte-2024-0813-File003.docx(891.17 KB)cmte-2024-0813-File004.pdf(153.84 KB)
文件总体积 1.05 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
Electronic dance music (EDM) festivals – crowded, loud, low-resource environments – pose unique challenges to event medical teams. Simulation can prepare teams to manage clinical presentations in this unconventional context. Without access to simulation infrastructure, a low-technological, low-fidelity simulation modality is warranted.
Draw & Doodle Simulation (D&D SIM) is a low-fidelity simulation where patients are hand-drawn (i.e. on paper, whiteboard, or digitally) instead of utilizing manikins or live actors. Facilitators draw all patient findings, while participants doodle any possible interventions.
Two D&D SIM cases (serotonin toxicity and refractory anaphylaxis) were piloted in classrooms. Participants included paramedics, medical students, lifeguards, and first aiders. Facilitators conducted simulations using chart paper, with each participant doodling contributions using differently colored markers.
Participants responded positively, rating the serotonin toxicity case 4.31/5 (n = 13) and refractory anaphylaxis case 4.53/5 (n = 15). Participants appreciated the ‘low-stakes’, useful ‘visual’ representation of progress, ‘fun and [interactivity]’, and appropriate ‘[realism]’ of D&D SIM. However, D&D SIM was perceived as ‘less life threatening’, would not be appropriate for physical skills (e.g. CPR), required everyone to be ‘oriented in the same direction to see the drawing’, and the chart paper risked becoming cluttered.
Next steps include writing new cases, implementing D&D SIM in other teaching contexts, exploring its use in digital platforms, and studying its effectiveness against higher-fidelity simulation.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.26134862.v1(source: https://tandf.figshare.com/articles/dataset/Draw_Doodle_Simulation_A_colorful_strategy_to_prepare_medical_teams_for_electronic_dance_music_festival_emergencies/26134862)。
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