筛选
科学数据
统计数据
共检索到231条 ,权限内显示50条;
Data from: Advancing restoration ecology: a new approach to predict time to recovery
- 负责人：
- DOI：
- doi:10.5061/dryad.vr93sj5
- 摘要：
- ’, species composition as its target. However, we still lack adequate methods for predicting the expected time to compositional recovery in restoration studies. 2. We des
Data from: Moving in groups: how density and unpredictable motion affect predation risk
- 负责人：
- 关键词：
- Aggregation;confusion effect;Visual search;Homo Sapiens;group living;Object tracking;predation risk
- DOI：
- doi:10.5061/dryad.3f863
- 摘要：
- er, drove the confusion effect in our experiment and acted synergistically with the unpredictability of the direction of motion. The experimental paradi
Data from: Impact of ecological redundancy on the performance of machine learning classifiers in vegetation mapping
- 负责人：
- DOI：
- doi:10.5061/dryad.1m8tg17
- 摘要：
- through traditional methods can be expensive and time?consuming, thus, new more efficient approaches are needed. The prediction of vegetati
Data from: How big is it really? Assessing the efficacy of indirect estimates of body size in Asian elephants
- 负责人：
- hsm29@cam.ac.uk
- DOI：
- doi:10.5061/dryad.p9r4k
- 摘要：
- to objective measures. Here, we investigate how well existing estimation equations predict the actual body weight of Asian elephants Elephas maximus, usi
Data from: Multi-decadal time series of remotely sensed vegetation improves prediction of soil carbon in a subtropical grassland
- 负责人：
- DOI：
- doi:10.5061/dryad.266m0
- 摘要：
- Soil carbon sequestration in agroecosystems could play a key role in climate change mitigation but will require accurate predicti
Data from: Predicting function from sequence in a large multifunctional toxin family
- 负责人：
- DOI：
- doi:10.5061/dryad.16pg7
- 摘要：
- ocess, and in-silico tools which allow function to be predicted from sequence information are essential. Toxins are typically members of large multifunctional families
Data from: How to evaluate community predictions without thresholding?
- 负责人：
- DOI：
- doi:10.5061/dryad.8sf7m0ch5
- 摘要：
- models) compared the predictions based on S-SDMs with the expectations from the null models to estimate the improvement in both species ric
Data from: Phenological, but not social, variation associated with climate differences in a eusocial sweat bee, Halictus ligatus, nesti
- 负责人：
- DOI：
- doi:10.5061/dryad.vm11c
- 摘要：
- e earlier studies indicated that queens have difficulty suppressing worker reproduction in larger colonies, we also predicted higher rates of worker
Data from: Predicting effects of water regime changes on waterbirds: insights from staging swans
- 负责人：
- DOI：
- doi:10.5061/dryad.76r58
- 摘要：
- Predicting the environmental impact of a proposed development is notoriously difficult, especially when future conditions fall outside the current
Data from: Assessing the expected response to genomic selection of individuals and families in Eucalyptus breeding with an additive-dominant model
- 负责人：
- DOI：
- doi:10.5061/dryad.ms580
- 摘要：
- . Because generation times are long, traits are complex and costs of DNA genotyping are plummeting, genomic prediction has good perspectives of adopti
