Hamza, Valiya Mannathal; Silva Dias, Fernando J S; Gomes, Antonio J L; Delgadilho Terceros, Zenón G (2005): Component parts of the World Heat Flow Data Collection [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.804409
Always quote citation above when using data! You can download the citation in several formats below.
Related to:
Hamza, Valiya Mannathal; Silva Dias, Fernando J S; Gomes, Antonio J L; Delgadilho Terceros, Zenón G (2005): Numerical and functional representations of regional heat flow in South America. Physics of The Earth and Planetary Interiors, 152(4), 223-256, https://doi.org/10.1016/j.pepi.2005.04.009
International Heat Flow Commission, I H F C (2012): Global Heat Flow Database. The Global Heat Flow Database of the International Heat Flow Commission (IHFC), University of North Dakota, USA; (data copied, 2012-10), https://ihfc-iugg.org/products/global-heat-flow-database/data
Further details:
Jessop, Alan M; Hobart, Michael A; Sclater, John G (1976): The World Heat Flow Data Collection - 1975. Geological Survey of Canada, Earth Physics Branch, Geothermal Series, 5, 10 pp, hdl:10013/epic.40176.d002
Coverage:
Median Latitude: -11.813805 * Median Longitude: -67.999261 * South-bound Latitude: -23.917000 * West-bound Longitude: -77.000000 * North-bound Latitude: 0.063000 * East-bound Longitude: -56.416700
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Area/locality | Area | Hamza, Valiya Mannathal | |||
| 2 | Sample, optional label/labor no | Lab no | Hamza, Valiya Mannathal | |||
| 3 | LATITUDE | Latitude | Geocode | |||
| 4 | LONGITUDE | Longitude | Geocode | |||
| 5 | Depth, bottom/max | Depth bot | m | Hamza, Valiya Mannathal | Maximum depth | |
| 6 | Temperature gradient | T grad | mK/m | Hamza, Valiya Mannathal | ||
| 7 | Heat flow | HF | mW/m2 | Hamza, Valiya Mannathal | ||
| 8 | Method comment | Method comm | Hamza, Valiya Mannathal |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
355 data points