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Hamza, Valiya Mannathal; Eston, S M (1983): Component parts of the World Heat Flow Data Collection [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.809751

Always quote citation above when using data! You can download the citation in several formats below.

Published: 1983 (exact date unknown)DOI registered: 2013-05-03

RIS CitationBibTeX Citation Copy Citation Share 21 1 4

Related to:
Hamza, Valiya Mannathal; Eston, S M (1983): Assessment of geothermal resources of Brazil - 1981. Zbl. Geol. palaeont. Teil I, H 1/2, 128-155
Source:
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: -21.404548 * Median Longitude: -49.502659 * South-bound Latitude: -27.950000 * West-bound Longitude: -52.866700 * North-bound Latitude: -9.783300 * East-bound Longitude: -36.133300
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Area/localityAreaHamza, Valiya Mannathal
Sample, optional label/labor noLab noHamza, Valiya Mannathal
LATITUDELatitudeGeocode
LONGITUDELongitudeGeocode
Depth, bottom/maxDepth botmHamza, Valiya Mannathal
Heat flowHFmW/m2Hamza, Valiya Mannathal
NumberNoHamza, Valiya MannathalNumber of individual sites
Method commentMethod commHamza, Valiya Mannathal
Size:
198 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Area

Lab no

Latitude

Longitude
 
Depth bot [m]
 
HF [mW/m2]
 
No

Method comm
BrazilAlagoas-9.7833-36.1333599BHT
BrazilAmadeu Amarl-22.3000-50.0000119364BHT
BrazilAmadeu Amarl-22.3000-50.0000248862BHT
BrazilAmadeu Amarl-22.3000-50.0000295756BHT
BrazilBariri-22.0667-48.7333651
BrazilBarretos-20.5333-48.5667491
BrazilBatatais-20.9000-47.5833301
BrazilBauru-22.3167-49.06671041
BrazilCassia de Conqueiros-21.2833-47.1667431
BrazilCatanduva-21.1333-48.9667581
BrazilDourados-22.1167-48.1500401
BrazilFernandopolis-20.2833-50.2500561
BrazilItapolis-21.2667-48.8167561
BrazilItapolis-21.6000-48.8167491
BrazilJau-22.3000-48.5500361
BrazilLins-21.6667-49.7333631
BrazilMonte Alto-21.2667-48.5000641
BrazilNovo Horizonte-21.3167-49.2167581
BrazilNovo Horizonte-21.4833-49.2167431
BrazilOlimpia-20.7500-48.9167461
BrazilParaguaco Paulista-22.4167-50.5667531
BrazilParana Rio Apore-18.9000-52.4000865118BHT
BrazilParana Rio Apore-18.9000-52.4000217350BHT
BrazilParana Rio Apore-18.9000-52.4000347646BHT
BrazilParanapanema-23.4000-48.800077678BHT
BrazilParanapanema-23.4000-48.8000167964BHT
BrazilPiratininga-22.4000-49.2000149471BHT
BrazilPiratininga-22.4000-49.2000210464BHT
BrazilPresidente Prudente-22.1333-51.40001471
BrazilPresidente Prudente-22.1333-51.4000681
BrazilRonda Alta-27.9500-52.8667150456BHT
BrazilRonda Alta-27.9500-52.8667341845BHT
BrazilSao Jose do Rio Preto-20.8167-49.3833571
BrazilSergipe-10.7500-37.16675911
BrazilTaciba-22.4000-51.4000151963BHT
BrazilTaciba-22.4000-51.4000299857BHT
BrazilTaciba-22.4000-51.4000186954BHT
BrazilTaciba-22.4000-51.4000351452BHT
BrazilTaciba-22.4000-51.4000478351BHT
BrazilTaciba-22.4000-51.4000460049BHT
BrazilTaciba-22.4000-51.4000469648BHT
BrazilTaciba-22.4000-51.4000495144BHT
BrazilTres Lagoas-20.7667-51.7167561
BrazilVotuporanga-20.4167-49.9667511BHT