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The increasing global coverage of high resolution/large-scale digital elevation data has allowed the study of geomorphological form to receive renewed attention by providing accessible datasets for the characterisation and quantification of land surfaces.
More specifically, the method extracts metrics of urban form and socio-economics from openly accessible datasets.
Relying on pre-existing collections, publically accessible datasets and tools, this working framework is exportable to other regions plagued by incomplete conservation data.
It is very difficult to find other large-scale, publicly accessible datasets with a similarly wide and diverse set of features.
Both features of urban form and information on the socio-economic levels of their communities were extracted from openly accessible datasets.
Having chosen the spatial unit at which to perform our analysis, we then needed access to openly accessible datasets from which to compute the metrics of urban form and socio-economics.
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Extensive simulation is done on an openly accessible dataset containing five different mental tasks.
The result is the first clean, accessible dataset of cities, their locations, and their populations over time, going as far back as 3700 B.C.
Our analysis has resulted in a freely accessible dataset of putative genomic regulatory regions with specific similarity in structure to histone promoters, which we believe is worth exploring further.
Specimen data including age class, sex, collecting locality, museum number and images, as well as COI sequence data are available BOLD database: http://boldsystems.org, under the publically accessible dataset: DS-JACANA [ http://dx.doi.org/10.5883/DS-JACANA].
In September 2004, the ILSI Health and Environmental Sciences Institute HESI Technical Committeeee on the Application of Genomics in Mechanism Based Risk Assessment initiated a plan to populate a publicly accessible dataset of control animal microarray data to serve as a resource for analysis of baseline fluctuations in gene expression due to biological or technical factors.
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