dataService

您的位置: 首页 > 数据服务 > 数据列表页

筛选

共检索到1064条 ,权限内显示50条;

Data from: Why less complexity produces better forecasts: an independent data evaluation of kelp habitat models
负责人:
关键词:
coastal ecosystem;Macrocystis pyrifera;forecast skill;Nereocystis luetkeana;Holocene;habitat suitability
DOI:
doi:10.5061/dryad.s22s280
摘要:
vely, the insights from evaluating multiple models with multiple data sets contribute to the holistic assessment of model forecast skill. The conti
Data from: Test collections for EHR-based clinical information retrieval
负责人:
关键词:
Evaluation;Natural Language Processing;information retrieval;test collections;electronic health records;relevance judgment
DOI:
doi:10.5061/dryad.813nj25
摘要:
ons, including a to-be-evaluated document pool using five retrieval models, and human assessment guidelines. We analyzed the relevance judgment results in terms
Data from: Spatially explicit assessment of estuarine fish after Deepwater Horizon oil spill: tradeoffs in complexity and parsimony
负责人:
关键词:
DOI:
doi:10.5061/dryad.4dn80
摘要:
ng it difficult to determine the applicability of realistic models to quantify population-level risks. To evaluate the trade-offs between data demands and increased
Data from: Combining high-throughput phenotyping and genomic information to increase prediction and selection accuracy in wheat breeding
负责人:
Poland, Jesse
关键词:
Crop genetics Genomic selection High throughput phenotyping Wheat breeding Yield prediction modeling
DOI:
doi:10.5061/dryad.7f138
摘要:
and genotyping. Several GS models were evaluated utilizing the 2254 GBS markers along with over 1.1 million phenotypic observations. The physiological measurements
Data from: Distribution modelling of vegetation types based on area?frame survey data
负责人:
关键词:
GIS;logistic regression;Norway;Vegetation mapping;Independent evaluation;land-cover;Ecological Response Model;Environmental layers;Presence-absence data
DOI:
doi:10.5061/dryad.nk3b5k8
摘要:
to independent evaluation dataset. Results: Twenty?one of the 31 models had AUC values higher than 0.8. The highest AUC value (0.989) was obtained for Poor/rich
Data from: How to predict biodiversity in space? An evaluation of modelling approaches in marine ecosystems
负责人:
关键词:
GDM;HMSC;Hill diversity profile;Random Forest;SSDM;?-diversity
DOI:
doi:10.5061/dryad.2fv7mt8
摘要:
h conceptual and technical aspects. There exist many predictive models, and an integrative evaluation can help understand their performance in handling
Data from: Re-evaluating neonatal-age models for ungulates: does model choice affect survival estimates?
负责人:
关键词:
hoof growth;Antilocapra americana;pronghorn;mule deer;survival;white-tailed deer;Odocoileus hemionus;fawns;Odocoileus virginianus
DOI:
doi:10.5061/dryad.515sg
摘要:
-growth equations that have been developed may affect estimates of survival in staggered-entry models. We used known-age newborns to evaluate variation in age
Data from: A local evaluation of the individual state-space to scale up Bayesian spatial capture recapture
负责人:
Milleret, Cyril
关键词:
SCR abundance local evaluation of state space
DOI:
doi:10.5061/dryad.42m96c8
摘要:
burden of large-scale SCR models, we developed an improved formulation of the Bayesian SCR model that uses local evaluation of the individual state-space
Data from: Richards’s equation and nonlinear mixed models applied to avian growth: why use them?
负责人:
关键词:
random effects;Phalacrocorax atriceps;grouped data;females;maximum growth rate;Growth models;nonlinear mixed models;growth data;asymptotic size
DOI:
doi:10.5061/dryad.s448n5d
摘要:
e, we evaluated the usefulness of von Bertalanffy, Gompertz, logistic, U4 and Richards’s equations modeling chick growth in the Imperial Shag
Data from: Multi-perspective predictive modeling for acute kidney injury in general hospital populations using electronic medical records
负责人:
关键词:
predictive modeling;Acute Kidney Injury;Electronic medical record;Prediction;Machine Learning
DOI:
doi:10.5061/dryad.qc90qb4
摘要:
and evaluation strategies were designed to build and evaluate the models. Results: Experimental analysis of the AKI prediction models built from four different

首页上一页12345下一页尾页

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充