Integrated data on the taxon and morpho-specific year-round diet and endozoochorous seed dispersal by the world's largest grouse, the Capercaillie Tetrao urogallus [0.03%]
鸟纲鸡形目黑琴鸡全年食性及其体内种子传播的整合数据
Joanna Czarnecka,Dorota Merta,Janusz Kobielski et al.
Joanna Czarnecka et al.
Recent developments in molecular methods for fecal analysis to assess the food habits (scatology) of herbivores have been controversial in terms of accurately identifying which specific plant parts were consumed and quantifying the amount o...
Helmets Labeling Crops: Kenya Crop Type Dataset Created via Helmet-Mounted Cameras and Deep Learning [0.03%]
头盔标注农作物：通过头盔安装的摄像头和深度学习创建的肯尼亚农作物类型数据集
Catherine Nakalembe,Ivan Zvonkov,Hannah Kerner et al.
Catherine Nakalembe et al.
Accurate, up-to-date agricultural monitoring is essential for assessing food production, particularly in countries like Kenya, where recurring climate extremes, including floods and droughts, exacerbate food insecurity challenges. In region...
Acoustic Emissions from Grey Glacier, Chilean Patagonia: dataset of infrasound measurements [0.03%]
智利巴塔哥尼亚格雷冰川的声发射：次声测量数据集
Claudia Sánchez,Duccio Gheri,Edgardo Casanova et al.
Claudia Sánchez et al.
Calving is a critical process contributing to ice mass loss in tidewater and lake-terminating glaciers, with significant implications for freshwater input, glacier dynamics, and climate change. Infrasound emissions generated by calving even...
Weiwei Zhang,Xianglin Shan,Yilang Liu et al.
Weiwei Zhang et al.
Turbulence widely appears in natural and industrial environments, with its multi-scale structures posing significant challenges for accurate simulation and prediction. Nowadays, turbulence databases play a crucial role in advancing scientif...
Addressing data gaps in sustainability reporting: A benchmark dataset for greenhouse gas emission extraction [0.03%]
解决可持续性报告中的数据缺口：温室气体排放提取基准数据集
Jacob Beck,Anna Steinberg,Andreas Dimmelmeier et al.
Jacob Beck et al.
Reliable company-level greenhouse gas (GHG) emissions data are essential for stakeholders addressing the climate crisis. However, existing datasets are often fragmented, inconsistent, and lack transparent methodologies, making it difficult ...
A benchmark database of ten years of prospective next-day earthquake forecasts in California from the Collaboratory for the Study of Earthquake Predictability [0.03%]
来自地震预测研究协作机构的十年加利福尼亚地区前瞻式隔夜地震预报基准数据库
Francesco Serafini,José A Bayona,Fabio Silva et al.
Francesco Serafini et al.
Short-term seismicity forecasting models are increasingly developed and deployed for Operational Earthquake Forecasting (OEF) by government agencies and research institutions worldwide. To ensure their reliability, these forecasts must be r...
A Resource for Exploring Regional Diversity in the Male Rat Brain Synaptic Proteome [0.03%]
探讨雄性大鼠大脑突触蛋白组区域多样性的资源
Yuran Wang,Yunshan Li,Xiaolin Tian et al.
Yuran Wang et al.
The functional complexity of the mammalian brain is rooted in the diverse protein composition of synapses across distinct regions. To address the need for a detailed molecular understanding of this regional diversity, we generated the first...
A Simulated Comprehensive Photon Flux Shielding Spectra Dataset for Advanced Radiation Safety Assessment [0.03%]
先进的辐射安全评估的综合光子通量屏蔽谱数据集模拟
Junyi Chen,Chenghao Cao,Shaoning Shen et al.
Junyi Chen et al.
Nuclear technology plays a pivotal role in global development, especially as a cornerstone of sustainable innovation. However, nuclear reactions emit high-energy photons and pose significant risks to human health and safety. Accurate radiat...
Ao Li,Mingjie Zhao,Jinlong Zhao et al.
Ao Li et al.
Tetraploid oysters are used to cross with diploids to produce triploid oysters that have become an important part of the oyster aquaculture industry worldwide. Although most tetraploid oysters are artificially induced autotetraploids, allot...
The AUTNES Online Panel Study 2017-2024: A Dataset of Austrian Voter Attitudes and Behavior [0.03%]
奥匈在线小组研究（2017-2024）：奥地利选民态度和行为数据集
Julia Partheymüller,Sylvia Kritzinger,Markus Wagner
Julia Partheymüller
The AUTNES Online Panel Study, a component of the Austrian National Election Study (AUTNES), is a longitudinal survey designed to analyze electoral dynamics in Austria across multiple election cycles, spanning from 2017 to 2024. This multi-...