Recreating the specific colicin NRa-LPS interaction in a model bacterial outer membrane
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该数据集包含440个声音样本,由21只属于两个品种(缅因州库恩猫和欧洲短毛猫)的猫在三种不同情境下发出的喵声组成。这些情境包括刷毛、在陌生环境中隔离和等待食物。每个声音文件都遵循特定的命名约定,包含猫的唯一ID、品种、性别、猫主人的唯一ID、录音场次和发声计数。此外,还有一个额外的zip文件,包含被排除的录音(非喵声)和未剪辑的连续发声序列。
huggingface 收录
Yield of strawberry crops under different irrigation levels and biofertilizer doses
ABSTRACT Strawberry is produced and appreciated in different regions of the world, due to its productive and commercial characteristics. Biofertilizer is an organic fertilizer that is easy to prepare and effective to nourish plants. The objective of this work was to assess the effect of different irrigation levels and anaerobically fermented bovine biofertilizer doses, on biomass accumulation and strawberry crop yield. The experiment was carried out in the experimental area of the UFC, in Fortaleza, Ceará, Brazil, from August to December 2012, under a screened environment. The experimental design was randomized blocks designed into subdivided plots, in which irrigation levels were applied via drip irrigation (equivalent to 33.3, 66.6, 100, 133.3 and 166.6% of the evaporation measured in the Class A tank - ECA), corresponding to the plots. The four doses of bovine biofertilizer (125, 250, 375 and 500 mL plant-1 week-1) were the subplots, with four replications. The assessed parameters were: biomass (root, shoot and total dry matter), fruit diameter, fruit length, number of fruits per plant, average fruit mass and yield. The biofertilizer and irrigation increased strawberry shoot biomass and total biomass. The interaction between irrigation and bovine biofertilizer raised the root matter to 3.7 g. The biofertilizer was nutritionally efficient for the strawberry regarding number of fruit, fruit diameter and yield. Irrigation increased strawberry length and average mass.
DataCite Commons 收录
钢城区施工许可数据信息
钢城区施工许可数据信息
山东公共数据开放网 收录
市政署对外服务行政手续项目列表
市政署对外服务行政手续项目列表。
澳门特别行政区政府数据开放平台 收录
CUB-200-2011 (Caltech-UCSD Birds-200-2011)
Caltech-UCSD Birds-200-2011 (CUB-200-2011) 数据集是用于细粒度视觉分类任务的最广泛使用的数据集。它包含属于鸟类的 200 个子类别的 11,788 张图像,其中 5,994 张用于训练,5,794 张用于测试。每个图像都有详细的注释:1 个子类别标签、15 个部分位置、312 个二进制属性和 1 个边界框。文本信息来自 Reed 等人。他们通过收集细粒度的自然语言描述来扩展 CUB-200-2011 数据集。为每个图像收集十个单句描述。自然语言描述是通过 Amazon Mechanical Turk (AMT) 平台收集的,要求至少 10 个单词,没有任何子类别和动作信息。
OpenDataLab 收录