Time factors of differentially preserved wood in two calcitic concretions in Pennsylvanian black shale from Indiana / Bertram G. Woodland -- and Catherine K. Richardson --.

v.33:no.10(1975)

Benjamin Wood, AB, 1797

This folder contains an original (20.5 x 12 in.), a typewritten copy (14.75 x 8.5 in.), and a photostat copy (21.5 x 13.75 in.) of the diploma of Benjamin Wood.

Certificate of the sale of Cyrus' freight of wood, 1793 September 9

Accounting records related to the wood brought by the sloop between May and September 1793 on three slips of paper bound with thread. The last page contains a certification signed by William Winthrop on September 9, 1793 of the sale of wood in Charlestown.

Biological lectures delivered at the Marine Biological Laboratory of Wood's Holl [sic].

1899

Biological lectures delivered at the Marine Biological Laboratory of Wood's Holl [sic].

1896-1897

Biological lectures delivered at the Marine Biological Laboratory of Wood's Holl [sic].

1893

Biological lectures delivered at the Marine Biological Laboratory of Wood's Holl [sic].

1898

Biological lectures delivered at the Marine Biological Laboratory of Wood's Holl [sic].

1894

A software tool for accurate assessment of costs and CO2 emissions in wood transport using OpenStreetMap©

Costs and environmental impacts are key elements in forest logistics and they must be integrated in forest decision-making. The evaluation of transportation fuel costs and carbon emissions depend on spatial and non-spatial data but in many cases the former type of data are dicult to obtain. On the other hand, the availability of software tools to evaluate transportation fuel consumption as well as costs and emissions of carbon dioxide is limited. We developed a software tool that combines two empirically validated models of truck transportation using Digital Elevation Model (DEM) data and an open spatial data tool, specically OpenStreetMap©. The tool generates tabular data and spatial outputs (maps) with information regarding fuel consumption, cost and CO2 emissions for four types of trucks. It also generates maps of the distribution of transport performance indicators (relation between beeline and real road distances). These outputs can be easily included in forest decision-making support systems. Finally, in this work we applied the tool in a particular case of forest logistics in north-eastern Portugal