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  • 来自专栏SDNLAB

    OpenDaylight发布第七个版本Nitrogen(氮)

    2017年9月26日,Linux基金会领导下的开源SDN控制器项目OpenDaylight发布了第七个版本Nitrogen(氮),该版本缩短了开发时间,以借此实现OpenDaylight与OPNFV、Open

    1.1K50发布于 2018-03-29
  • 来自专栏机器之心

    震撼,英伟达新模型能打遍几乎所有游戏

    于是,让我们正式介绍主角,来自英伟达的最新开源基础模型 NitroGen。 项目地址: https://nitrogen.minedojo.org 论文地址: https://nitrogen.minedojo.org/assets/documents/nitrogen.pdf 代码链接: https://github.com/MineDojo/NitroGen 预训练模型: https://huggingface.co/nvidia/NitroGen 数据集: https: 总体概览 NitroGen 由三个核心组件构成: 1. NitroGen 500M 模型在不同游戏上的预训练结果 使用 Flow-Matching 的 GR00T 架构,在完整的 NitroGen 数据集上训练了一个 5 亿参数的统一模型。

    21710编辑于 2025-12-31
  • 来自专栏生信小驿站

    R语言之可视化(34)Grouped, stacked and percent stacked barplot

    "poacee" , 3) , rep("banana" , 3) , rep("triticum" , 3) ) condition <- rep(c("normal" , "stress" , "Nitrogen "poacee" , 3) , rep("banana" , 3) , rep("triticum" , 3) ) condition <- rep(c("normal" , "stress" , "Nitrogen "poacee" , 3) , rep("banana" , 3) , rep("triticum" , 3) ) condition <- rep(c("normal" , "stress" , "Nitrogen poacee" , 3) , rep("banana" , 3) , rep("triticum" , 3) ) condition <- rep(c("normal" , "stress" , "Nitrogen "poacee" , 3) , rep("banana" , 3) , rep("triticum" , 3) ) condition <- rep(c("normal" , "stress" , "Nitrogen

    1K20发布于 2021-01-26
  • 来自专栏亚灿网志

    「复试」英语问题

    Nitrification is the process of converting ammonia nitrogen into nitrite nitrogen in an aerobic environment , and then further converting nitrite nitrogen into nitrate nitrogen. Denitrification is the process of converting nitrate nitrogen to nitrogen in an anaerobic environment , and then further converting nitrite nitrogen into nitrate nitrogen. Denitrification is the process of converting nitrate nitrogen to nitrogen in an anaerobic environment

    84510编辑于 2023-05-17
  • 来自专栏机器学习/数据可视化

    plotly-express-10-plotly实现饼图

    sector colors are set in marker.colors. labels values labels = ['Oxygen','Hydrogen','Carbon_Dioxide','Nitrogen darkorange', 'lightgreen'] # 绘图 fig = go.Figure(data=go.Pie(labels=['Oxygen','Hydrogen','Carbon_Dioxide','Nitrogen Donut & Pulling sectors labels = ['Oxygen','Hydrogen','Carbon_Dioxide','Nitrogen'] values = [4500, 2500 labels = ['Oxygen','Hydrogen','Carbon_Dioxide','Nitrogen'] values = [4500, 2500, 1053, 500] # pull is

    2.6K10发布于 2021-03-01
  • 来自专栏育种数据分析之放飞自我

    混合线性模型如何进行多重比较

    5,一个复杂的例子 数据oats > # 一个复杂的例子 > data(oats) > head(oats) Blocks Nitrogen Subplots Variety Wplots yield Victory 2 111 6 1 0.2_cwt 2 Victory 2 130 方差分析的多重比较 > m1 = aov(yield ~ Nitrogen +Blocks, data = oats) > summary(m1) Df Sum Sq Mean Sq F value Pr(>F) Nitrogen cwt 79.38889 c attr(,"class") [1] "group" > LSD为10.64531 asreml的多重比较 > m2 = asreml(yield ~ Nitrogen Oct 15 19:50:38 2019 LogLikelihood Converged LogLikelihood Converged > predict(m2,classify = "Nitrogen

    4.1K40发布于 2019-11-04
  • 来自专栏GEE数据专栏,GEE学习专栏,GEE错误集等专栏

    CARVE是一个由美国国家航空航天局(NASA)资助的项目,旨在研究北极地区的碳储

    Data files File Name Description aerosol_C_N_composition.csv Carbon and nitrogen composition and isotopic Micrograms per cubic meter of air Nitrogen content delta15N Per mil Nitrogen stable isotope raw data Carbon:Nitrogen n/a Total carbon to nitrogen ratio raw data C:N_fire n/a Total carbon to nitrogen ratio after separately subtracting carbon background and nitrogen background and calculating new background content of soil horizon sample C/N n/a Carbon to nitrogen ratio of soil horizon sample mgC/g soil mg

    21800编辑于 2025-02-17
  • 来自专栏GEE数据专栏,GEE学习专栏,GEE错误集等专栏

    Google Earth Engine(GEE)——土壤网格250m v2.0

    clay Proportion of clay particles (< 0.002 mm) in the fine earth fraction g/kg 10 g/100g (%) clay_mean nitrogen Total nitrogen (N) cg/kg 100 g/kg nitrogen_mean phh2o Soil pH pHx10 10 pH phh2o_mean sand Proportion soilgrids-isric/sand_mean"); var isric_silt = ee.Image("projects/soilgrids-isric/silt_mean"); var isric_nitrogen = ee.Image("projects/soilgrids-isric/nitrogen_mean"); var isric_phh20 = ee.Image("projects/soilgrids-isric

    1.1K10编辑于 2024-02-02
  • 来自专栏二猫の家

    使用Python实现Hassink方程来反演土壤碳氮比

    计算土壤中有机碳的稳定状态 def soil_carbon_stability(pH, organic_matter, temperature, humidity): # 计算经验公式 carbon_nitrogen_ratio_empirical = empirical_formula(pH, organic_matter) # 计算理论公式 carbon_nitrogen_ratio_theoretical = theoretical_formula (temperature, humidity) # 返回两个公式的平均值 return (carbon_nitrogen_ratio_empirical + carbon_nitrogen_ratio_theoretical = empirical_formula(pH, organic_matter) # 计算理论公式 carbon_nitrogen_ratio_theoretical = theoretical_formula (temperature, humidity) # 返回两个公式的平均值 return (carbon_nitrogen_ratio_empirical + carbon_nitrogen_ratio_theoretical

    36510编辑于 2022-12-09
  • 来自专栏GEE数据专栏,GEE学习专栏,GEE错误集等专栏

    Google Earth Engine ——2001-2017年非洲土壤在 0-20 厘米和 20-50 厘米的土壤深度处可提取的总氮数据,预测平均值和标准偏差

    Total nitrogen at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. ") Resolution 30 meters Bands Table Name Description Min Max Units mean_0_20 Nitrogen, total, predicted mean at 0-20 cm depth 3 246 g/kg mean_20_50 Nitrogen, total, predicted mean at 20-50 cm depth 0 254 g/kg stdev_0_20 Nitrogen, total, standard deviation at 0-20 cm depth 1 124 g/kg stdev_20_50 Nitrogen, "); Map.addLayer( raw.select(0).sldStyle(mean_0_20), {}, "Nitrogen, total, mean visualization

    25610编辑于 2024-02-02
  • 生菜缺乏症缺钙镁氮磷钾检测数据集VOC+YOLO格式2978张6类别

    注意yolo格式类别顺序不和这个对应,而以labels文件夹classes.txt为准):["Calcium Deficiency","Healthy","Magnesium Deficiency","Nitrogen Deficiency"] 每个类别标注的框数: Calcium Deficiency 框数 = 8133 Healthy 框数 = 8083 Magnesium Deficiency 框数 = 5784 Nitrogen

    11500编辑于 2025-07-17
  • 来自专栏机器学习AI算法工程

    R语言实现混合模型

    library(MASS) data(oats) names(oats) = c('block', 'variety', 'nitrogen', 'yield') head(oats) block variety nitrogen yield 1 I Victory 0.0cwt 111 2 I Victory 0.2cwt 130 3 代码如下: library(lme4) library(nlme)m1.nlme = lme(yield ~ variety*nitrogen,random = ~ 1|block/mainplot,data library(lme4)m1.lme4 = lmer(yield ~ variety*nitrogen + (1|block/mainplot),data = oats)summary(m1.lme4 20020.5 6673.5 3 45 37.686 2.458e-12 *** variety:nitrogen 321.8 53.6 6

    4.8K70发布于 2018-03-14
  • 来自专栏GEE数据专栏,GEE学习专栏,GEE错误集等专栏

    BDSNP Module——用于改善CMAQ模型中土壤氮氧化物(NO)排放估计的模块

    ) with options of enhancement in terms of 'new' soil biome (NLCD40 for 2006) and dynamic fertilizer nitrogen Hudman et al. (2012) cldproc_acm.F and vdiffacm2.F Two source code files for obtaining total mass of nitrogen for CCTM_V5g_Linux2_x86_64ifort_SOILFERT12US2.CONUS.nc Variable Description Units FERTDAY(001-366) Nitrogen *** km y Synthesized coordinate from YORIG YCELL *** km * 366 variables give the daily fertilizer nitrogen Data variables for SOILFERT_EPIC_Potter_2011MMDD.nc Variable Description Units T1_EPIC Fertilizer nitrogen

    16110编辑于 2025-02-18
  • 来自专栏亚灿网志

    Professional English for Water Supply and Drainage(01)

    What is the definition of Nitrogen? And how to measure it? Organic nitrogen is determined analytically using the Kjeldahl method(凯式法). Total kjeldahl nitrogen is determined in the same manner as organic nitrogen, except that the ammonia Role: For Nitrogen Control, ion Exchange is used to remove Nitrogen from the waste stream. How to remove nitrogen and phosphorus? Type of stabilization pond.

    1.1K40编辑于 2023-05-17
  • 图像分割数据集植物图像叶片健康状态分割数据集labelme格式180张3类别

    (不包含mask文件,仅仅包含jpg图片和对应的json文件) 图片数量(jpg文件个数):180 标注数量(json文件个数):180 标注类别数:3 标注类别名称:["Healthy","nitrogen deficiency","Potassium Deficiency"] 每个类别标注的框数: Healthy count = 69 nitrogen deficiency count = 95

    16300编辑于 2025-07-22
  • 来自专栏全栈程序员必看

    r语言 固定效应模型_r语言coef函数

    library(MASS) data(oats) names(oats) = c('block', 'variety', 'nitrogen', 'yield') 3、nlme包 用这个包很简单,y-变量写在左边 代码如下: library(nlme) m1.nlme = lme(yield ~ variety*nitrogen, random = ~ 1|block/mainplot 3 45 37.68561 <.0001 variety:nitrogen 6 45 0.30282 0.9322 如果假设认为这些调查对象是同质的 library(lme4) m1.lme4 = lmer(yield ~ variety*nitrogen + (1|block/mainplot), data 代码如下: library(asreml) m1.asreml = asreml(yield ~ variety*nitrogen, random = ~ block

    6.4K30编辑于 2022-11-17
  • 来自专栏素质云笔记

    R语言︱线性混合模型理论与案例探究(固定效应&随机效应)

    library(MASS) data(oats) names(oats) = c('block', 'variety', 'nitrogen', 'yield') 3、nlme包 用这个包很简单,y-变量写在左边 代码如下: library(nlme) m1.nlme = lme(yield ~ variety*nitrogen, random = ~ 1|block/ 3 45 37.68561 <.0001 variety:nitrogen 6 45 0.30282 0.9322 如果假设认为这些调查对象是同质的 library(lme4) m1.lme4 = lmer(yield ~ variety*nitrogen + (1|block/mainplot), data 代码如下: library(asreml) m1.asreml = asreml(yield ~ variety*nitrogen, random = ~ block

    21.8K76发布于 2019-05-26
  • 来自专栏SDNLAB

    OpenDaylight碳版本如何增强稳定性、安全性和网络可编程性?

    为每个项目添加Apache Karaf 4.X功能是希望在OpenDaylight下一个版本Nitrogen版本中使用新的容器,此外Carbon版本还增强了测试功能,以确保功能导入所有适当的运行时包,从而提高 这一基础有助于社区的开发者在Nitrogen版本开发周期中执行Karaf升级。 这些基础工作将能够促进在下一个版本Nitrogen中实现Karaf升级,服务激活大大稳定且能够更好地进行测试,以确保更加一致和友好的运营经验。

    1.2K60发布于 2018-03-29
  • 来自专栏亚灿网志

    给排水专业词汇—C部分

    地下渗漏:underground percolation 单螺旋式曝气装置:single spiral aerator 地下渗滤系统:subsurface infiltration system 氮:nitrogen 地下水:groundwater 氮循环:nitrogen cycle 人工湿地系统:artificial( constructed) wetland 蛋白质:protein 再生水回流地下水质标准:water

    70410编辑于 2023-05-17
  • 来自专栏GEE数据专栏,GEE学习专栏,GEE错误集等专栏

    GEE 错误:导出到谷歌云盘中出现的错误Error: Image to render must have 1 or 3 bands, but found 30. (Error code: 3)

    // Visualization parameters for specified aerosol band. var visParams = { bands: ['total_column_nitrogen_dioxide_surface Map.addLayer(hour00, visParams, 'Total Column Nitrogen Dioxide Surface', true, 0.8); Map.centerObject

    66710编辑于 2024-02-02
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