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Significant clusters identified during hourly aggregations using Latent Diric...
Significant clusters identified during hourly aggregations using Latent Dirichlet Allocation and their associated topics. -
r37980778c78--5d9813dd8f2a830a24ff2d41dc3b5362
*** p<.001, ** p<.01, * p<.05, + p<.1 (two-tailed tests); CCAHS, 2001–03. -
Descriptive data on sports participation and distances (in kilometers) to the...
Note: numbers may not add to the full sample sizes due to missing values. -
r37980778c78--fcc34a9785651e539b81f01883403aba
Area and proportion of the US for sub-group level of the National Land Use dataset 2010. -
Identified hourly cluster attributes derived via space-time scan statistics.
Identified hourly cluster attributes derived via space-time scan statistics. -
r37980778c78--0b3e81e0450666d1d68644c4de745b06
The relationship between urbanization and economic growth has been perplexing. In this paper, we identify the pattern of global change and the correlation of urbanization and... -
r37980778c78--05da8a4846107f621fc99c3285911b81
Column headers: Position on NCBI36/hg18 of region showing evidence for selection; Size in Kb of the genomic region; nSNP |iHS|>4 indicates the number of SNPs with an absolute... -
Mean genomic inbreeding coefficients (F<sub>RoH</sub> %) using 0.5 and 5 Mb m...
* p-value smaller than 0.05 when comparing each linguistic macro-area to peninsular Italy. -
A comparison of the National Land Use database (2010) against the National La...
A comparison of the National Land Use database (2010) against the National Land Cover Dataset (2006) for built-up uses. -
r37980778c78--c40afb2e46a18ba33df7eafb8d262da2
Statistics from Spearman’s correlation tests on the timing of commute, with data drawn from Figure 4. -
r37980778c78--ac99ed0baf76e68e7f3e517f8b2e62a7
1Previous studies refer to the presence of P. porcus in this area [1], [43] although it has been suggested that it should be P. larvatus at the edge of its range [62]. It is not...
