官方服务：
资源简介：
Engineering by enrollment status, sex, race or ethnicity, and citizenship
应用场景：
创建时间：
2019-03-07
相关数据集
cxrbon16/temp_10_analyzed_fixed
--- dataset_info: features: - name: question dtype: string - name: ground_truth dtype: float64 - name: generated_answers list: string - name: num_correct_answers dtype: int64
Hugging Face2026-03-21 更新100
Additional file 1 of Spatio-temporal changes in racial segregation and diversity in large US cities from 1990 to 2020: a visual data analysis
The file Supplementary material is a MS Excel spreadsheet that contains the values of segregation and diversity metrics calculated for 61 cities based on US census block and tract level data for 1990,
Figshare2024-08-13 更新90
Model building results for the Generalized Additive Mixed Models (GAMM) and Generalized Linear Mixed Models (GLMM) relating species richness and environmental predictors in the Uruguayan coast.
Main models obtained from the modelling process are expressed in R language. Numbers presented in the model expression refer to the degrees of freedom used in smooth terms (s). The respective Akaike's
NIAID Data Ecosystem30
Weights of dimensions of academic quality assurance and ABET accreditation, and deviation from full consistency DFC (χ).
Weights of dimensions of academic quality assurance and ABET accreditation, and deviation from full consistency DFC (χ).
NIAID Data Ecosystem100
Beta Diversity in a Highly Heterogeneous Area: Disentangling Species and Taxonomic Dissimilarity for Terrestrial Vertebrates
Quantifying differences in species composition among communities provides important information related to the distribution, conservation and management of biodiversity, especially when two components
NIAID Data Ecosystem70
