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Data from: Large, climate-sensitive soil carbon stocks mapped with pedology-informed machine learning in the North Pac
负责人:
关键词:
Anthropocene;soil carbon;pedology;Random Forest;Machine Learning;Holocene;temperate rainforest
DOI:
doi:10.5061/dryad.5jf6j1r
摘要:
ng soil classification data to guide gap-filling and machine learning approaches used to explore spatial controls on SOC and predict regional stocks. Precipitation
Commodity Production Statistics, 1958-1979;;Archival Version
负责人:
关键词:
DOI:
doi:10.3886/icpsr07894
摘要:
, manufacture of bakery products, spinning and weaving, manufacture of machinery, and manufacture of musical instruments. The data are collected in two files: Par
Data from: Geographic patterns of song variation reveal timing of song acquisition in a wild avian population
负责人:
关键词:
Notiomystis cincta;bioacoustic;Dispersal;song geographic variation;song acquisition;Machine Learning;bird song;Holocene
DOI:
doi:10.5061/dryad.53hm6
摘要:
of micro-geographic song variation in a wild passerine population. Machine learning song analysis methods allow us to overcome perceptual bias
Wheat Trade and Wheat Prices in France, 1486-1913;;Archival Version
负责人:
关键词:
DOI:
doi:10.3886/icpsr09777
摘要:
ket Wheat Prices in Toulouse, 1486-1913;;These data are stored in a machine-readable tabular format with blanks used to separate elements within the tables
Data from: Accurate inference of tree topologies from multiple sequence alignments using deep learning
负责人:
关键词:
Supervised Machine Learning;convolutional neuronal network;phylogenetics
DOI:
doi:10.5061/dryad.ct2895s
摘要:
allenges remain, these findings suggest that deep learning approaches such as ours have the potential to produce more accurate phylogenetic inferences.
Data from: Pain intensity recognition rates via biopotential feature patterns with support vector machines
负责人:
关键词:
Holy Grail;BioVid Heat Pain Database;Biopotential Feature List
DOI:
doi:10.5061/dryad.2b09s
摘要:
reliability and validity or are very time-consuming. In contrast, biopotentials can be automatically analyzed with machine learning algorithms to provide a surrogate mea
Data from: Phylogeography and support vector machine classification of colour variation in panther chameleons
负责人:
关键词:
Support Vector Machine classification;supervised learning;phylogeography;panther chameleon;colour patterns;Furcifer pardalis
DOI:
doi:10.5061/dryad.74b7h
摘要:
ng a supervised multiclass support vector machine approach on five anatomical components, we identify patterns in 3D colour space that efficiently predict
Data from: Risk-aware multi-armed bandit problem with application to portfolio selection
负责人:
关键词:
graph theory;portfolio selection;multi-armed bandit
DOI:
doi:10.5061/dryad.h628h
摘要:
Sequential portfolio selection has attracted increasing interests in the machine learning and quantitative finance communities in recent year
Data from: Deep neural networks for accurate predictions of crystal stability
负责人:
关键词:
Garnet;Perovskite;Materials Science;Crystal Stability;Machine Learning
DOI:
doi:10.5061/dryad.760r5b6
摘要:
y can be achieved using a binary encoding scheme, addressing a critical gap in the extension of machine-learning models from fixed stoichiometry crystals to infini
Data from: An experimental study of the putative mechanism of a synthetic autonomous rotary DNA nanomotor
负责人:
关键词:
strand displacement;rotary motor;molecular machine;DNA nanotechnology
DOI:
doi:10.5061/dryad.sj179
摘要:
ke other examples of rotary DNA machines, the device described here is designed to be capable of autonomous operation after it is triggered

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