Data from: A comprehensive analysis of autocorrelation and bias in home range estimation

负责人：

Noonan, Michael J.

关键词：

GPS

DOI：

doi:10.5061/dryad.v5051j2

摘要：

on to objectively quantify estimator performance, and the recently introduced effective sample size for home range area estimation ($\hat{N}_\mathrm{area

Data from: Time-dependent speciation and extinction from phylogenies: a least squares approach

负责人：

关键词：

extinction;Agamidae;extinction;Birth-death;phylogeny;Catarrhinae;diversification;speciation;Birth-death;speciation

DOI：

doi:10.5061/dryad.7891

摘要：

on previous published works, I derive maximum likelihood estimators. Some limitations of the likelihood approach are described, and a fitting procedure based

Data from: Monitoring insect pollinators and flower visitation: the effectiveness and feasibility of different survey methods

负责人：

关键词：

pollinator

DOI：

doi:10.5061/dryad.31f7ph7

摘要：

s) influence estimates of pollinator abundance and diversity. 2. We compared two common methods for sampling wild pollinating insects (solitary bees, bumblebees

Data from: Limits to species richness in terrestrial communities

负责人：

Alroy, John

关键词：

biotic interactions global biodiversity local-regional comparisons patch occupancy models species richness squares estimator

DOI：

doi:10.5061/dryad.8f8g581

摘要：

, then the relationship should be curvilinear even in a log-log space. Local data pertaining to trees and 10 groups of animals are analyzed to test this hypothesis. Mos

Data from: Vis/NIR reflectance spectroscopy for hybrid rice variety identification and chlorophyll content evaluation for different

负责人：

关键词：

nitrogen fertilizer level;PLS;chlorophyll content;SVM;vis\/NIR reflectance spectroscopy

DOI：

doi:10.5061/dryad.p8pq7fq

摘要：

for estimating chlorophyll content of rice leaves from plants subject to different nitrogen levels, and a coefficient of determination (R2) of 97.8% and a rati

Data from: A novel nonparametric measure of explained variation for survival data with an easy graphical interpretation

负责人：

关键词：

novel measure;survival data;explained variation;nonparametric;test of significance

DOI：

doi:10.5061/dryad.5c6bq

摘要：

linear regression analysis we develop a novel measure for categorical covariates which is based only on the Kaplan-Meier estimator. Hence, the novel measure is a completely