MapPool是一个包含7500万张地图和文本描述的数据集，源自CommonPool数据集，该数据集包含来自互联网的120亿个文本-图像对。图像通过视觉变压器编码，并通过支持向量机分类为地图和非地图。该方法优于之前的模型，验证准确率达到98.5%。MapPool数据集可能有助于训练数据密集型架构，以建立专门用于地图的视觉和语言基础模型。数据集的分析和嵌入空间的探索为未来的工作提供了巨大的潜力。

Hugging Face2024-09-02 更新850

Supplement 1. R computer code for estimating the population growth rate of aphids and parasitism rates from three years of field data (Eq. 1, Fig. 1), and MATLAB computer code for fitting the data from the long-term cage experiments (Eqs. 2–9, Fig. 3) using a nonlinear state-space model.

生态学

数据分析

File List MeisnerFieldDataAnalyses.R (MD5: cf3a7f68ff13dd1e356bba4bb7caa8b3) MeisnerFieldData.txt (MD5: 0bac717c21a5f770cf86a101f9b0824b) MeisnerLongtermCageFitting.m (MD5: 0e3913d8176549296eeee49ffa9

DataCite Commons2020-09-03 更新60

Wet bulk density (GRAPE) of Hole 93-603

地质学

数据分析

This dataset is about: Wet bulk density (GRAPE) of Hole 93-603.

DataONE2025-11-08 更新50

Appendix B. Univariate models.

多变量模型

数据分析

Univariate models.

DataCite Commons2020-09-04 更新70

Replication Data for: \"Estimating Spatial Preferences from Votes and Text\"

空间偏好

数据分析

This folder contains the scripts and data necessary to implement Sparse Factor Analysis (SFA) as outline in Kim, Londregan, and Ratkovic (2018). The README file contains all relevant information.

DataONE2018-01-04 更新50