five

Data of pyrolysis and combustion of sugarcane residual biomass over Rh-Pt/CeO2-SiO2 catalyst by TG, TG-FTIR and, TG-MS|催化剂数据集|热降解动力学数据集

收藏
Mendeley Data2024-03-27 更新2024-06-26 收录
催化剂
热降解动力学
下载链接:
https://data.mendeley.com/datasets/gkysct9wjz
下载链接
链接失效反馈
资源简介:
The presented data correspond to the study of thermal degradation kinetics during pyrolysis (N2) and combustion (Synthetic air) under catalytic and non-catalytic conditions of sugarcane residual biomass over Rh-Pt/CeO2-SiO2 catalyst, at different heating rates 5, 10 and 20 °C/min. For that, TG, TG-FTIR and TG-MS were carry out In order to correlate thermal effects with information about released products distribution. The kinetic parameters were found by model fitting methods using the Euler method. In the folders you will find all the data obtained for each of the used techniques. In the folder called "TG and Kinetics Data" there is an excel workbook called "Fitting method and kinetic parameters" it contains the experimental data obtained through TGA and the calculated data from the proposed degradation models. Finally, the worksheet "kinetic parameters" contains the kinetic parameters found from the presented data. The folder called "TG-FTIR" have four excel workbooks which contain the data obtained by TGA-FTIR for each of the studied atmospheres, pyrolysis, combustion and, each one under catalytic conditions for sugarcane residual biomass. Within each of the files, the TG data and the FTIR data for the spectras obtained in the wavenumberrange between 400 and 4000 cm-1. The given data allowed to study the products distribution obtained in the thermal degradation of the sugarcane residual biomass and relate the results with the degradation temperatures. The folder called "TG-MS" have four excel workbooks which contain the data obtained by TG-MS for each of the studied atmospheres, pyrolysis, combustion and each one under catalytic conditions. Within each of the files are the TG data and the data of the ions followed. The results presented are suplementary information for the obtained results in the TG-FTIR analyzes wich allowed to propose kinetic models that describe the thermal degradation of residual biomass.
创建时间:
2024-01-23
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4098个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

LFW

人脸数据集;LFW数据集共有13233张人脸图像,每张图像均给出对应的人名,共有5749人,且绝大部分人仅有一张图片。每张图片的尺寸为250X250,绝大部分为彩色图像,但也存在少许黑白人脸图片。 URL: http://vis-www.cs.umass.edu/lfw/index.html#download

AI_Studio 收录

MedDialog

MedDialog数据集(中文)包含了医生和患者之间的对话(中文)。它有110万个对话和400万个话语。数据还在不断增长,会有更多的对话加入。原始对话来自好大夫网。

github 收录

RadDet

RadDet是一个包含11种雷达类别的数据集,包括6种新的低概率干扰(LPI)多相码(P1, P2, P3, P4, Px, Zadoff-Chu)和一种新的宽带调频连续波(FMCW)。数据集覆盖500 MHz频段,包含40,000个雷达帧,分为训练集、验证集和测试集。数据集在两种不同的雷达环境中提供:稀疏数据集(RadDet-1T)和密集数据集(RadDet-9T)。

github 收录

CMNEE(Chinese Military News Event Extraction dataset)

CMNEE(Chinese Military News Event Extraction dataset)是国防科技大学、东南大学和清华大学联合构建的一个大规模的、基于文档标注的开源中文军事新闻事件抽取数据集。该数据集包含17,000份文档和29,223个事件,所有事件均基于预定义的军事领域模式人工标注,包括8种事件类型和11种论元角色。数据集构建遵循两阶段多轮次标注策略,首先通过权威网站获取军事新闻文本并预处理,然后依据触发词字典进行预标注,经领域专家审核后形成事件模式。随后,通过人工分批、迭代标注并持续修正,直至满足既定质量标准。CMNEE作为首个专注于军事领域文档级事件抽取的数据集,对推动相关研究具有显著意义。

github 收录

Obstacle-dataset OD

该数据集用于十五种障碍物检测,包含VOC格式和YOLO训练的.txt文件,数据集中的图像来自VOC数据集、COCO数据集、TT100K数据集以及作者团队实地收集的图片。

github 收录