five

Data from: Elevated CO2 induces substantial and persistent declines in forage quality irrespective of warming in mixedgrass prairie|生态学数据集|农业科学数据集

收藏
DataONE2017-12-18 更新2024-06-26 收录
生态学
农业科学
下载链接:
https://search.dataone.org/view/null
下载链接
链接失效反馈
资源简介:
Increasing atmospheric [CO2] and temperature are expected to affect the productivity, species composition, biogeochemistry, and therefore the quantity and quality of forage available to herbivores in rangeland ecosystems. Both elevated CO2 (eCO2) and warming affect plant tissue chemistry through multiple direct and indirect pathways, such that the cumulative outcomes of these effects are difficult to predict. Here, we report on a 7-year study examining effects of CO2 enrichment (to 600 ppm) and infrared warming (+1.5°C day/3°C night) under realistic field conditions on forage quality and quantity in a semiarid, mixed-grass prairie. For the 3 dominant forage grasses, warming effects on in vitro dry matter digestibility (IVDMD) and tissue [N] were detected only in certain years, varied from negative to positive, and were relatively minor. In contrast, eCO2 substantially reduced IVDMD (2 most abundant grasses) and [N] (all 3 dominant grass species) in most years, except the two wettest years. Furthermore, eCO2 reduced IVDMD and [N] independent of warming effects. Reduced IVDMD with eCO2 was related both to reduced [N] and increased acid detergent fiber (ADF) content of grass tissues. For the 6 most abundant forage species (representing 96% of total forage production), combined warming+eCO2 increased forage production by 38% and reduced forage [N] by 13% relative to ambient climate. Although the absolute magnitude of the decline in IVDMD and [N] due to combined warming+eCO2 may seem small (e.g. from 63.3 to 61.1% IVDMD and 1.25 to 1.04% [N] for Pascopyrum smithii), such shifts could have substantial consequences for the rate at which ruminants gain weight during the primary growing season in the largest remaining rangeland ecosystem in North America. With forage production increases, declining forage quality could potentially be mitigated by adaptively increasing stocking rates, and through management such as prescribed burning, fertilization at low rates, and legume interseeding to enhance forage quality.
创建时间:
2017-12-18
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  4099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

Figshare

Figshare是一个在线数据共享平台,允许研究人员上传和共享各种类型的研究成果,包括数据集、论文、图像、视频等。它旨在促进科学研究的开放性和可重复性。

figshare.com 收录

MMOral

MMOral是一个针对全景X光片解读的大规模多模态指令数据集和基准。它包括20,563张带有1.3百万条指令跟随实例的注释图像,涵盖了多种任务类型,如属性提取、报告生成、视觉问答和基于图像的对话。此外,我们还提出了MMOral-Bench,这是一个涵盖牙科五个关键诊断维度的综合评估套件。我们评估了64个LVLMs在MMOral-Bench上的表现,发现即使是表现最好的模型GPT-4o,也只能达到41.45%的准确率,这揭示了当前模型在这一领域的显著局限性。为了促进该特定领域的发展,我们还提出了OralGPT,它使用我们精心策划的MMOral指令数据集对Qwen2.5-VL-7B进行监督微调。值得注意的是,一个SFT周期就为LVLMs带来了显著的性能提升,例如,OralGPT表现出24.73%的改进。MMOral和OralGPT都具有作为智能牙科关键基础的巨大潜力,并使牙科领域中的多模态AI系统更具临床意义。数据集、模型、基准和评估套件可在上述网址获取。

arXiv 收录

CE-CSL

CE-CSL数据集是由哈尔滨工程大学智能科学与工程学院创建的中文连续手语数据集,旨在解决现有数据集在复杂环境下的局限性。该数据集包含5,988个从日常生活场景中收集的连续手语视频片段,涵盖超过70种不同的复杂背景,确保了数据集的代表性和泛化能力。数据集的创建过程严格遵循实际应用导向,通过收集大量真实场景下的手语视频材料,覆盖了广泛的情境变化和环境复杂性。CE-CSL数据集主要应用于连续手语识别领域,旨在提高手语识别技术在复杂环境中的准确性和效率,促进聋人与听人社区之间的无障碍沟通。

arXiv 收录

学生课堂行为数据集 (SCB-dataset3)

学生课堂行为数据集(SCB-dataset3)由成都东软学院创建,包含5686张图像和45578个标签,重点关注六种行为:举手、阅读、写作、使用手机、低头和趴桌。数据集覆盖从幼儿园到大学的不同场景,通过YOLOv5、YOLOv7和YOLOv8算法评估,平均精度达到80.3%。该数据集旨在为学生行为检测研究提供坚实基础,解决教育领域中学生行为数据集的缺乏问题。

arXiv 收录

ICLR Peer Review and Rebuttal Process Dataset

该数据集包含从ICLR 2024和2025年收集的同行评审和反驳过程数据,数据来自OpenReview平台,包括评审者ID、初始评分和反驳后评分。评审者评分变化被追踪,使用追踪分数指标来评估评审者连续性,分数≤1表示有效使用,≥2需双重检查。数据许可证为CC BY 4.0。

github 收录