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Mcdannell, Mendeley K Data) - One of the best experts on this subject based on the ideXlab platform.
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Apatite fission track, apatite U-Pb, and electron microprobe data from Rae craton, Canada
2021Co-Authors: Mcdannell, Mendeley K Data)Abstract:Data supporting two samples are provided in this repository and files herein contain AFT age and length data, U-Pb apatite data, and electron microprobe (EPMA) data (in oxide weight % and apfu) from the Rae craton, Canadian Shield, Canada. Sample 11JP322B (aka z10907, GSC geochronology lab #, or GeoSep Services (GSS) internal sample number: 334-03) and 14NK-C062 (GSS: 248-15) dated via the LA-ICP-MS apatite fission track method. Files also include age/length grain spatial locations for matching replicate age/length grain EPMA analyses. Refer to http://dx.doi.org/10.17632/wwrkpr9gcx.5 for additional information. Note: sample z10907/11JP322B was dated in two separate aliquots from project 334 and later project 390. The latter project underwent an "age-length pairing" (ALP) procedure where lengths were only measured from grains counted for age. These grains were then probed twice directly, once in/near the laser ablation spot area from AFT analysis, and once on another distal spot on the grain to assess the potential for isotopic zonation. In the length data tab for the ALP sample, the grain # corresponds to (for example) grain 1 with tracks 1 to 5 belonging to that grain, i.e., age grain 1. Therefore each age grain has a corresponding date and N number of tracks directly associated with it. This approach negates the need for grain locations to be recorded. The supplementary data files are Microsoft Excel .xlsx format and contained in a compressed .zip folder with a Directory Structure and contents as follows: Folder “Raw-AFT-UPb” contains the raw LA-ICP-MS apatite fission track age and length data. The raw apatite U-Pb age data, blanks, corrections, etc. are also included in a separate sheet tab for each sample. All AFT samples are referred to by their analytical number, e.g. 334-03 and their sample number z10907 (11JP322B). For all other data in the “EPMA” and “Grain-Locations” folders each grain is referred to by analytical number only, and whether it is an age or length grain. Folder “EPMA” contains the electron microprobe data with the OH estimation included in weight percent oxide or atom per formula unit format. These data can be converted to apfu and their respective rmr0 values determined using either the Carlson et al. (1999) or Ketcham et al. (2007) equations (see main text for details). Folder “Grain-Locations” contains the x,y coordinates for each age and length grain that was probed for each sample. The grains are flagged if they are duplicate measurements, i.e. the EPMA measurement for age grain 1 is also the same measurement for length grain 15. This is determined by distance of 0 to 10 microns (green) and 10 to 50 microns (orange). HeFTy model (Ketcham, 2005) input files with float values for all AFT data, e.g. Ns, A, Pcorr, error, U, Dpar, etc. are also included in the "HeFTyFiles" folder. Interpreted files for multikinetic modeling also provided
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LA-ICP-MS apatite fission track, apatite U-Pb, and electron probe micro-analysis data for the Canadian Shield
2019Co-Authors: Mcdannell, Mendeley K Data)Abstract:LA-ICP-MS apatite fission track age and length data, U-Pb apatite data, and electron microprobe (EPMA) data (in oxide weight %) from the Canadian Shield, Canada. Files also include age/length grain spatial locations for matching duplicate age/length grain EPMA analyses. The supplementary data files are Microsoft Excel .xlsx format and contained in a compressed .zip folder with a Directory Structure and contents as follows: Folder “AFT-UPb” contains the raw LA-ICP-MS apatite fission track age and length data. The raw apatite U-Pb age data, blanks, corrections, etc. are also included in a separate sheet tab for each sample. All AFT samples are referred to by their analytical number, e.g. 248-09 and their sample number 11CXAN017, for all other data in the “EPMA” and “Grain-Locations” folders each grain is referred to by analytical number only, and whether it is an age or length grain. Folder “EPMA” contains the electron microprobe data with the OH estimation included in weight percent oxide format. These data can be converted to apfu and their respective rmr0 values determined using either the Carlson et al. (1999) or Ketcham et al. (2007) equations (see main text for details). Folder “Grain-Locations” contains the x-y coordinates for each age and length grain that was probed for each sample. The grains are flagged if they are duplicate measurements, i.e. the EPMA measurement for age grain 1 is also the same measurement for length grain 15. This is determined by distance of 0 to 10 microns (green) and 10 to 50 microns (orange). The “Correlation-Matrices” folder contains a table of the correlation coefficients for the top 20 elements in each sample for age grain data only, including eU and OH. There are also PDF files for each sample of the matrices at the 0.05 and 0.01 confidence levels
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LA-ICP-MS apatite fission track, apatite U-Pb, and electron probe micro-analysis data for the Canadian Shield
2019Co-Authors: Mcdannell, Mendeley K Data)Abstract:LA-ICP-MS apatite fission track age and length data, U-Pb apatite data, and electron microprobe (EPMA) data (in oxide weight %) from the Canadian Shield, Canada. Files also include age/length grain spatial locations for matching duplicate age/length grain EPMA analyses. The supplementary data files are Microsoft Excel .xlsx format and contained in a compressed .zip folder with a Directory Structure and contents as follows: Folder “AFT-UPb” contains the raw LA-ICP-MS apatite fission track age and length data. The raw apatite U-Pb age data, blanks, corrections, etc. are also included in a separate sheet tab for each sample. All AFT samples are referred to by their analytical number, e.g. 248-09 and their sample number 11CXAN017, for all other data in the “EPMA” and “Grain-Locations” folders each grain is referred to by analytical number only, and whether it is an age or length grain. Folder “EPMA” contains the electron microprobe data with the OH estimation included in weight percent oxide format. These data can be converted to apfu and their respective rmr0 values determined using either the Carlson et al. (1999) or Ketcham et al. (2007) equations (see main text for details). Folder “Grain-Locations” contains the x-y coordinates for each age and length grain that was probed for each sample. The grains are flagged if they are duplicate measurements, i.e. the EPMA measurement for age grain 1 is also the same measurement for length grain 15. This is determined by distance of 0 to 10 microns (green) and 10 to 50 microns (orange). The “Correlation-Matrices” folder contains a table of the correlation coefficients for the top 20 elements in each sample for age grain data only, including eU and OH. There are also PDF files for each sample of the matrices at the 0.05 and 0.01 confidence levels. HeFTy model (Ketcham, 2005) input files with float values for all AFT data, e.g. Ns, A, Pcorr, error, U, Dpar, etc. Additional PDF files explaining the GeoSep AFT+UPb methodology and age calculation
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LA-ICP-MS apatite fission track, apatite U-Pb, and electron probe micro-analysis data for the Canadian Shield
2019Co-Authors: Mcdannell, Mendeley K Data)Abstract:LA-ICP-MS apatite fission track age and length data, U-Pb apatite data, and electron microprobe (EPMA) data (in oxide weight %) from the Canadian Shield, Canada. Files also include age/length grain spatial locations for matching duplicate age/length grain EPMA analyses. The supplementary data files are Microsoft Excel .xlsx format and contained in a compressed .zip folder with a Directory Structure and contents as follows: Folder “AFT-UPb” contains the raw LA-ICP-MS apatite fission track age and length data. The raw apatite U-Pb age data, blanks, corrections, etc. are also included in a separate sheet tab for each sample. All AFT samples are referred to by their analytical number, e.g. 248-09 and their sample number 11CXAN017, for all other data in the “EPMA” and “Grain-Locations” folders each grain is referred to by analytical number only, and whether it is an age or length grain. Folder “EPMA” contains the electron microprobe data with the OH estimation included in weight percent oxide format. These data can be converted to apfu and their respective rmr0 values determined using either the Carlson et al. (1999) or Ketcham et al. (2007) equations (see main text for details). Folder “Grain-Locations” contains the x-y coordinates for each age and length grain that was probed for each sample. The grains are flagged if they are duplicate measurements, i.e. the EPMA measurement for age grain 1 is also the same measurement for length grain 15. This is determined by distance of 0 to 10 microns (green) and 10 to 50 microns (orange). The “Correlation-Matrices” folder contains a table of the correlation coefficients for the top 20 elements in each sample for age grain data only, including eU and OH. There are also PDF files for each sample of the matrices at the 0.05 and 0.01 confidence levels. HeFTy model (Ketcham, 2005) input files with float values for all AFT data, e.g. Ns, A, Pcorr, error, U, Dpar, etc
Anders Malthe-sørenssen - One of the best experts on this subject based on the ideXlab platform.
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Experimental Directory Structure (Exdir): An Alternative to HDF5 Without Introducing a New File Format.
2018Co-Authors: Svenn-arne Dragly, Milad Hobbi Mobarhan, Mikkel Elle Lepperød, Simen Tennøe, Marianne Fyhn, Torkel Hafting, Anders Malthe-sørenssenAbstract:Natural sciences generate an increasing amount of data in a wide range of formats developed by different research groups and commercial companies. At the same time there is a growing desire to share data along with publications in order to enable reproducible research. Open formats have publicly available specifications which facilitate data sharing and reproducible research. Hierarchical Data Format 5 (HDF5) is a popular open format widely used in neuroscience, often as a foundation for other, more specialized formats. However, drawbacks related to HDF5's complex specification have initiated a discussion for an improved replacement. We propose a novel alternative, the Experimental Directory Structure (Exdir), an open specification for data storage in experimental pipelines which amends drawbacks associated with HDF5 while retaining its advantages. HDF5 stores data and metadata in a hierarchy within a complex binary file which, among other things, is not human-readable, not optimal for version control systems, and lacks support for easy access to raw data from external applications. Exdir, on the other hand, uses file system directories to represent the hierarchy, with metadata stored in human-readable YAML files, datasets stored in binary NumPy files, and raw data stored directly in subdirectories. Furthermore, storing data in multiple files makes it easier to track for version control systems. Exdir is not a file format in itself, but a specification for organizing files in a Directory Structure. Exdir uses the same abstractions as HDF5 and is compatible with the HDF5 Abstract Data Model. Several research groups are already using data stored in a Directory hierarchy as an alternative to HDF5, but no common standard exists. This complicates and limits the opportunity for data sharing and development of common tools for reading, writing, and analyzing data. Exdir facilitates improved data storage, data sharing, reproducible research, and novel insight from interdisciplinary collaboration. With the publication of Exdir, we invite the scientific community to join the development to create an open specification that will serve as many needs as possible and as a foundation for open access to and exchange of data.
Svenn-arne Dragly - One of the best experts on this subject based on the ideXlab platform.
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Experimental Directory Structure (Exdir): An Alternative to HDF5 Without Introducing a New File Format.
2018Co-Authors: Svenn-arne Dragly, Milad Hobbi Mobarhan, Mikkel Elle Lepperød, Simen Tennøe, Marianne Fyhn, Torkel Hafting, Anders Malthe-sørenssenAbstract:Natural sciences generate an increasing amount of data in a wide range of formats developed by different research groups and commercial companies. At the same time there is a growing desire to share data along with publications in order to enable reproducible research. Open formats have publicly available specifications which facilitate data sharing and reproducible research. Hierarchical Data Format 5 (HDF5) is a popular open format widely used in neuroscience, often as a foundation for other, more specialized formats. However, drawbacks related to HDF5's complex specification have initiated a discussion for an improved replacement. We propose a novel alternative, the Experimental Directory Structure (Exdir), an open specification for data storage in experimental pipelines which amends drawbacks associated with HDF5 while retaining its advantages. HDF5 stores data and metadata in a hierarchy within a complex binary file which, among other things, is not human-readable, not optimal for version control systems, and lacks support for easy access to raw data from external applications. Exdir, on the other hand, uses file system directories to represent the hierarchy, with metadata stored in human-readable YAML files, datasets stored in binary NumPy files, and raw data stored directly in subdirectories. Furthermore, storing data in multiple files makes it easier to track for version control systems. Exdir is not a file format in itself, but a specification for organizing files in a Directory Structure. Exdir uses the same abstractions as HDF5 and is compatible with the HDF5 Abstract Data Model. Several research groups are already using data stored in a Directory hierarchy as an alternative to HDF5, but no common standard exists. This complicates and limits the opportunity for data sharing and development of common tools for reading, writing, and analyzing data. Exdir facilitates improved data storage, data sharing, reproducible research, and novel insight from interdisciplinary collaboration. With the publication of Exdir, we invite the scientific community to join the development to create an open specification that will serve as many needs as possible and as a foundation for open access to and exchange of data.
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experimental Directory Structure exdir an alternative to hdf5 without introducing a new file format
2018Co-Authors: Svenn-arne Dragly, Milad Hobbi Mobarhan, Mikkel Elle Lepperød, Simen Tennøe, Marianne Fyhn, Torkel Hafting, Anders MalthesorenssenAbstract:Natural sciences generate an increasing amount of data in a wide range of formats developed by different research groups and commercial companies. At the same time there is a growing desire to share data along with publications in order to enable reproducible research. Open formats have publicly available specifications which facilitate data sharing and reproducible research. Hierarchical Data Format 5 (HDF5) is a popular open format widely used in neuroscience, often as a foundation for other, more specialized formats. However, drawbacks related to HDF59s complex specification have initiated a discussion for an improved replacement. We propose a novel alternative, the Experimental Directory Structure (Exdir), an open standard for data storage in experimental pipelines which amends drawbacks associated with HDF5 while retaining its advantages. HDF5 stores data and metadata in a hierarchy within a complex binary file which, among other things, is not human-readable, not optimal for version control systems, and lacks support for storing raw data. Exdir, one the other hand, uses file system directories to represent the hierarchy, with metadata stored in human-readable YAML files, datasets stored in binary NumPy files, and raw data stored directly in subdirectories. Furthermore, storing data in multiple files makes it easier to track for version control systems. Exdir is not a file format in itself, but a standard for organizing files in a Directory Structure. Exdir uses the same abstractions as HDF5 and is compatible with the HDF5 Abstract Data Model. Several research groups are already using data stored in a Directory hierarchy as an alternative to HDF5, but no common standard exists in the field. This complicates and limits the opportunity for data sharing and development of common tools for reading, writing, and analyzing data. Exdir facilitates improved data storage, data sharing, reproducible research, and novel insight from interdisciplinary collaboration. With the publication of Exdir, we invite the scientific community to join the development to create an open standard that will serve as many needs as possible and that will serve as a foundation for open access to and exchange of data.
Jun Miyazaki - One of the best experts on this subject based on the ideXlab platform.
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cross language information retrieval by domain restriction using web Directory Structure
2008Co-Authors: Fuminori Kimura, Jun Miyazaki, Akira Maeda, Kenji Hatano, Shunsuke UemuraAbstract:In this paper, we propose a cross-language information retrieval (CLIR) method based on estimating for domains of the query using hierarchic Structures of Web directories. To get the most appropriate translation of the queries, we utilize the Web directories written in many different languages as multilingual corpus for disambiguating translation of the query and for estimating the domain of search results using hierarchic Structures of Web directories. From experimental evaluations, we found that there is an advantage in retrieval accuracy using our proposal for disambiguating translation in CLIR system. We found that it is effective to restrict to target fields of the query using lower level merged categories in order to acquire suited translation of the query.
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Dependable configurations and recovery for the Fat-Btree parallel Directory Structure
2006Co-Authors: Jun Miyazaki, Haruo YokotaAbstract:In this paper, we will discuss a highly dependable system configuration method and recovery method for our proposed Fat-Btree Structure, which is a Directory Structure for shared-nothing parallel computers. The goals are to enhance the service of operation during failure, to minimize the probability of data loss, and to enhance availability by combining physiological logging, logical logging, disk mirroring, staggered allocation, etc. Various system configurations formed by the combination of these methods will be quantitatively evaluated in this paper. As a result, it will be shown that a combination of physiological logging and disk mirroring is most appropriate when hardware cost can be ignored, and that a combination of global logical logging and physiological logging is most appropriate when hardware cost is considered. © 2006 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 89(12): 42–58, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.20288
Milad Hobbi Mobarhan - One of the best experts on this subject based on the ideXlab platform.
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Experimental Directory Structure (Exdir): An Alternative to HDF5 Without Introducing a New File Format.
2018Co-Authors: Svenn-arne Dragly, Milad Hobbi Mobarhan, Mikkel Elle Lepperød, Simen Tennøe, Marianne Fyhn, Torkel Hafting, Anders Malthe-sørenssenAbstract:Natural sciences generate an increasing amount of data in a wide range of formats developed by different research groups and commercial companies. At the same time there is a growing desire to share data along with publications in order to enable reproducible research. Open formats have publicly available specifications which facilitate data sharing and reproducible research. Hierarchical Data Format 5 (HDF5) is a popular open format widely used in neuroscience, often as a foundation for other, more specialized formats. However, drawbacks related to HDF5's complex specification have initiated a discussion for an improved replacement. We propose a novel alternative, the Experimental Directory Structure (Exdir), an open specification for data storage in experimental pipelines which amends drawbacks associated with HDF5 while retaining its advantages. HDF5 stores data and metadata in a hierarchy within a complex binary file which, among other things, is not human-readable, not optimal for version control systems, and lacks support for easy access to raw data from external applications. Exdir, on the other hand, uses file system directories to represent the hierarchy, with metadata stored in human-readable YAML files, datasets stored in binary NumPy files, and raw data stored directly in subdirectories. Furthermore, storing data in multiple files makes it easier to track for version control systems. Exdir is not a file format in itself, but a specification for organizing files in a Directory Structure. Exdir uses the same abstractions as HDF5 and is compatible with the HDF5 Abstract Data Model. Several research groups are already using data stored in a Directory hierarchy as an alternative to HDF5, but no common standard exists. This complicates and limits the opportunity for data sharing and development of common tools for reading, writing, and analyzing data. Exdir facilitates improved data storage, data sharing, reproducible research, and novel insight from interdisciplinary collaboration. With the publication of Exdir, we invite the scientific community to join the development to create an open specification that will serve as many needs as possible and as a foundation for open access to and exchange of data.
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experimental Directory Structure exdir an alternative to hdf5 without introducing a new file format
2018Co-Authors: Svenn-arne Dragly, Milad Hobbi Mobarhan, Mikkel Elle Lepperød, Simen Tennøe, Marianne Fyhn, Torkel Hafting, Anders MalthesorenssenAbstract:Natural sciences generate an increasing amount of data in a wide range of formats developed by different research groups and commercial companies. At the same time there is a growing desire to share data along with publications in order to enable reproducible research. Open formats have publicly available specifications which facilitate data sharing and reproducible research. Hierarchical Data Format 5 (HDF5) is a popular open format widely used in neuroscience, often as a foundation for other, more specialized formats. However, drawbacks related to HDF59s complex specification have initiated a discussion for an improved replacement. We propose a novel alternative, the Experimental Directory Structure (Exdir), an open standard for data storage in experimental pipelines which amends drawbacks associated with HDF5 while retaining its advantages. HDF5 stores data and metadata in a hierarchy within a complex binary file which, among other things, is not human-readable, not optimal for version control systems, and lacks support for storing raw data. Exdir, one the other hand, uses file system directories to represent the hierarchy, with metadata stored in human-readable YAML files, datasets stored in binary NumPy files, and raw data stored directly in subdirectories. Furthermore, storing data in multiple files makes it easier to track for version control systems. Exdir is not a file format in itself, but a standard for organizing files in a Directory Structure. Exdir uses the same abstractions as HDF5 and is compatible with the HDF5 Abstract Data Model. Several research groups are already using data stored in a Directory hierarchy as an alternative to HDF5, but no common standard exists in the field. This complicates and limits the opportunity for data sharing and development of common tools for reading, writing, and analyzing data. Exdir facilitates improved data storage, data sharing, reproducible research, and novel insight from interdisciplinary collaboration. With the publication of Exdir, we invite the scientific community to join the development to create an open standard that will serve as many needs as possible and that will serve as a foundation for open access to and exchange of data.