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1. Bathymetry: Elbow Lake

Queen's University Biological Station (QUBS). Elbow Lake is situated on approximately 400 hectares of mixed forest and wetland. Its maximum depth is approximately 10 m. As its name implies, it ... Scholars Portal Dataverse.
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2. Bathymetry: Lake Opinicon

Queen's University Biological Station. Lake Opinicon is bordered by QUBS Point, Sugarbush Island, the Bonwill Tract and the Cape-Sauriol Environmental Studies Area (Concession 14, Lots 1... Scholars Portal Dataverse.
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3. Bathymetry: Lindsay Lake

Queen's University Biological Station (QUBS). Lindsay Lake is located on the Pangman Tract (Concession 15, Lots 11-13 of South Frontenac Township, Frontenac County). Mean depth = 4.4 m; maximum... Scholars Portal Dataverse.
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4. Bathymetry: Poole Lake

Queen's University Biological Station (QUBS). Poole Lake is located on the Pangman Tract (Concession 14, Lots 11-12; Concession 15, Lots 11-12 of South Frontenac Township, Frontenac County). Me... Scholars Portal Dataverse.
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5. Bathymetry: Round Lake (1 of 2)

Queen's University Biological Station (QUBS). Round Lake is located on the Pangman Tract (Concession 15, Lots 9-10 of South Frontenac Township, Frontenac County). Mean depth = 12.6; maximum dep... Scholars Portal Dataverse.
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6. Bathymetry: Round Lake (2 of 2)

Queen's University Biological Station (QUBS). Round Lake is located on the Pangman Tract (Concession 15, Lots 9-10 of South Frontenac Township, Frontenac County). Mean depth = 12.6; maximum dep... Scholars Portal Dataverse.
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7. Bathymetry: Warner Lake (1 of 2)

Queen's University Biological Station (QUBS). Warner Lake is located on the Pangman Tract (Concession 14, Lots 12-14 of South Frontenac Township, Frontenac County). Mean depth = 2.9 m; maximum ... Scholars Portal Dataverse.
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8. Bathymetry: Warner Lake (2 of 2)

Queen's University Biological Station (QUBS). Warner Lake is located on the Pangman Tract (Concession 14, Lots 12-14 of South Frontenac Township, Frontenac County). Mean depth = 2.9 m; maximum ... Scholars Portal Dataverse.
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9. Don Valley Historical Mapping Project (15 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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10. Don Valley Historical Mapping Project (16 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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11. Don Valley Historical Mapping Project (17 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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12. Don Valley Historical Mapping Project (18 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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13. Don Valley Historical Mapping Project (19 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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14. Don Valley Historical Mapping Project (20 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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15. Don Valley Historical Mapping Project (21 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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16. Don Valley Historical Mapping Project (29 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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17. Don Valley Historical Mapping Project (37 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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18. Don Valley Historical Mapping Project (38 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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19. Don Valley Historical Mapping Project (39 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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20. Don Valley Historical Mapping Project (40 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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21. Don Valley Historical Mapping Project (41 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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22. Don Valley Historical Mapping Project (42 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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23. Don Valley Historical Mapping Project (43 of 43)

2008. Fortin, Marcel and Jennifer Bonnell. Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials... Scholars Portal Dataverse.
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24. NWT ice patch study (1 of 2)

Thomas D. Andrews, Brian Moorman, Glen MacKay, and Leon Andrew. Twenty-eight alpine ice patches were identified using a combination of remote sensing techniques, archaeological site survey methods, and tradition... Scholars Portal Dataverse.
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25. Vancouver's Old Streams, 1880-1920 (2 of 3)

Lesack, Paul and Proctor, Sharon J. Paths of streams in Vancouver from 1880-1920 and the original shoreline of Vancouver, BC, Canada. Data in ESRI shapefile format and Google Earth KM... Scholars Portal Dataverse.