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  • 1
    Publication Date: 2023-05-12
    Keywords: Area/locality; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Sample, optional label/labor no
    Type: Dataset
    Format: text/tab-separated-values, 240 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; Heat flow; Heat production, average; LATITUDE; LONGITUDE; Method comment; Number; Number of heat production measurements; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Heat flow; Heat production, average; LATITUDE; LONGITUDE; Method comment; Number; Number of heat production measurements; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 52 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2023-05-12
    Keywords: Conductivity, average; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 29 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; Depth, top/min; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 288 data points
    Location Call Number Limitation Availability
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  • 6
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    PANGAEA
    In:  Supplement to: He, Lijuan; Matsubayashi, Osamu; Lei, Xinglin (2006): Methane hydrate accumulation model for the Central Nankai accretionary prism. Marine Geology, 227(3-4), 201-214, https://doi.org/10.1016/j.margeo.2005.09.019
    Publication Date: 2024-01-09
    Description: A two-dimensional transient model of methane hydrate accumulation is designed and applied in the Nankai accretionary prism. Model results show that the formation and distribution of methane hydrate and free gas is related to value of the thermal flux, the fluid flux, the methane flux supplied from below, and methane source within the sediment. The duration of the methane flux is of significant importance. The older the sediments, implying a longer period of methane flux supply from below and within the sediments of the model, the larger the volume percentage of free gas will be. This can explain the occurrence of BSR in a area with lower methane flux observed, but absence of the BSR in the other area with higher methane flux observed. Modeling also predicts that the maximum saturation of methane hydrate is about 1% of the pore space in the area of ODP Site 1178, and the methane hydrate occurrence zone is probably 90–200 m below the sea floor (mbsf), which is supported by both direct and indirect evidence for hydrate. In the area near ODP Site 808, the fault zones having high fluid flow and methane flux may possibly result in methane hydrate formation without BSR occurrence.
    Keywords: 131-808; 190-1178; Age, dated; COMPCORE; Composite Core; DEPTH, sediment/rock; Distance; Event label; Joides Resolution; Latitude of event; Leg131; Leg190; Longitude of event; Methane, flux; Ocean Drilling Program; ODP; Philippine Sea; see reference(s)
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2021-09-01
    Description: This data publication contains the compilation of global heat-flow data by the International Heat Flow Commission (IHFC; http://www.ihfc-iugg.org/) of the International Association of Seismology and Physics of the Earth's Interior (IASPEI). The presented data release 2021 contains data generated between 1939 and 2021 and constitutes an updated and extended version of the 2012 IHFC database release (IHFC 2012; later re-published as PANGAEA release: Global Heat Flow Compilation Group, 2013). The 2021 release contains 74,548 heat-flow data from 1,403 publications. 55% of the reported heat-flow values are from the continental domain (n ~ 40,870), while the remaining 45% are located in the oceanic domain (n ~ 33,678). The data are provided in csv and Excel formats. Compared to earlier compilations, which followed the structure defined by Jessop et al. (1976), the new data release was transformed to the recently redefined structure for reporting and storing heat-flow data in the Global Heat Flow Database (Fuchs et al., 2021). Therefore, the notation and structure of the database was adopted, transforming the database field entries defined after Jessop et al. (1976) to the new field structure. Old code notations are not continued and the dataset was cleaned for entries without reporting any heat-flow value. Although successfully transformed, this release marks an intermediate step as the majority of the newly defined database fields have not been filled yet. Filling these fields, checking the existing entries and assessing the quality of each entry are the aim of the upcoming Global Heat Flow Data Assessment Project, for which this data set provides the basis. Consequently, we kindly ask the user to take notice that the current release still suffers similar problems as previously published compilations in terms of data heterogeneity, documentation and quality.
    Type: Other , NonPeerReviewed
    Format: text
    Format: text
    Format: other
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2022-12-13
    Description: This data publication contains the compilation of global heat-flow data by the International Heat Flow Commission (IHFC; http://www.ihfc-iugg.org/) of the International Association of Seismology and Physics of the Earth's Interior (IASPEI). The presented data release 2021 contains data generated between 1939 and 2021 and constitutes an updated and extended version of the 2012 IHFC database release (IHFC 2012; later re-published as PANGAEA release: Global Heat Flow Compilation Group, 2013). The 2021 release contains 74,548 heat-flow data from 1,403 publications. 55% of the reported heat-flow values are from the continental domain (n ~ 40,870), while the remaining 45% are located in the oceanic domain (n ~ 33,678). The data are provided in csv and Excel formats. Compared to earlier compilations, which followed the structure defined by Jessop et al. (1976), the new data release was transformed to the recently redefined structure for reporting and storing heat-flow data in the Global Heat Flow Database (Fuchs et al., 2021). Therefore, the notation and structure of the database was adopted, transforming the database field entries defined after Jessop et al. (1976) to the new field structure. Old code notations are not continued and the dataset was cleaned for entries without reporting any heat-flow value. Although successfully transformed, this release marks an intermediate step as the majority of the newly defined database fields have not been filled yet. Filling these fields, checking the existing entries and assessing the quality of each entry are the aim of the upcoming Global Heat Flow Data Assessment Project, for which this data set provides the basis. Consequently, we kindly ask the user to take notice that the current release still suffers similar problems as previously published compilations in terms of data heterogeneity, documentation and quality.
    Type: Report , NonPeerReviewed
    Format: text
    Format: text
    Format: other
    Location Call Number Limitation Availability
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  • 9
    Publication Date: 2018-03-24
    Description: With the continuous development of information technology and network technology in China, the Internet has also ushered in the era of large data. In order to obtain the effective acquisition of information in the era of large data, it is necessary to optimize the existing RDF semantic data storage and realize the effective query of various data. This paper discusses the storage optimization of RDF semantic data under large data.
    Print ISSN: 1755-1307
    Electronic ISSN: 1755-1315
    Topics: Geography , Geosciences , Physics
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