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Excel spreadsheet containing, in separate sheets, the underlying numerical...
- plos.figshare.com
xlsxUpdated Aug 28, 2024
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EmailClick to copy linkLink copiedCiteYicheng Tao; Fan Feng; Xin Luo; Conrad V. Reihsmann; Alexander L. Hopkirk; Jean-Philippe Cartailler; Marcela Brissova; Stephen C. J. Parker; Diane C. Saunders; Jie Liu (2024). Excel spreadsheet containing, in separate sheets, the underlying numerical values for generating Fig 2A, 2B, 2C, 3A, 3B, 3C, 3D, 4A, 4B, 4C, 4D, 5A, and 5B. [Dataset]. http://doi.org/10.1371/journal.pcbi.1012344.s001xlsxAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pcbi.1012344.s001Dataset updatedAug 28, 2024Dataset provided byPLOS Computational BiologyAuthorsYicheng Tao; Fan Feng; Xin Luo; Conrad V. Reihsmann; Alexander L. Hopkirk; Jean-Philippe Cartailler; Marcela Brissova; Stephen C. J. Parker; Diane C. Saunders; Jie LiuLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionExcel spreadsheet containing, in separate sheets, the underlying numerical values for generating Fig 2A, 2B, 2C, 3A, 3B, 3C, 3D, 4A, 4B, 4C, 4D, 5A, and 5B.
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Pressure Cycle Extraction and smoothing for 600 cycles, Motoring pressure...
- data.mendeley.com
Updated Aug 29, 2019ShareFacebookTwitterEmailClick to copy linkLink copiedCiteChinmaya Mishra (2019). Pressure Cycle Extraction and smoothing for 600 cycles, Motoring pressure curve modelling [Dataset]. http://doi.org/10.17632/zbvxn7dpc7.1Unique identifierhttps://doi.org/10.17632/zbvxn7dpc7.1Dataset updatedAug 29, 2019AuthorsChinmaya MishraLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescription- LabView data (P1 to P5 excel sheets) containing time series, piezo-sensor data and encoder data for continuously acquired 125 random cycles each.
- Pressure extraction and smoothing routine for 600 cycles in MATLAB.
- Statistical extraction of the pressure events routine in MATLAB.
- Database for 600 cycles.
- Motoring pressure model routine in MATLAB and its comparison with experimental pressure routine.
- ReadMe text file.
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Replication Data for: Extremely low amphibian roadkill probability on busy...
- dataverse.nl
type/x-r-syntax, xlsm +2Updated Jan 19, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMichaël A. Eijkelkamp; Mirjam J. Borger; Mirjam J. Borger; Ruben Kluit; Jan Komdeur; Michaël A. Eijkelkamp; Ruben Kluit; Jan Komdeur (2023). Replication Data for: Extremely low amphibian roadkill probability on busy bicycle paths [Dataset]. http://doi.org/10.34894/KYY0OXxlsm(247948), xlsx(12629), type/x-r-syntax(14308), zip(33900), xlsx(15735)Available download formatsUnique identifierhttps://doi.org/10.34894/KYY0OXDataset updatedJan 19, 2023Dataset provided byDataverseNLAuthorsMichaël A. Eijkelkamp; Mirjam J. Borger; Mirjam J. Borger; Ruben Kluit; Jan Komdeur; Michaël A. Eijkelkamp; Ruben Kluit; Jan KomdeurLicenseCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automaticallyDescriptionThe repository contains three Excel data files and one R-script to analyze the data and to produce the figures, and a zip file containing all files used to make Supplementary Figure 1 with QGIS.
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Excel spreadsheet containing, in separate sheets, the underlying numerical...
- plos.figshare.com
xlsxUpdated Jan 9, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteRoddy M. Grieves (2024). Excel spreadsheet containing, in separate sheets, the underlying numerical data and statistical analysis for Fig panels 9A-9F, 10A-10D, 11A–11B, S5B, S6B, S7C–S7D, S8C–S8D, S10 and S11. [Dataset]. http://doi.org/10.1371/journal.pcbi.1011763.s012xlsxAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pcbi.1011763.s012Dataset updatedJan 9, 2024Dataset provided byPLOS Computational BiologyAuthorsRoddy M. GrievesLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionExcel spreadsheet containing, in separate sheets, the underlying numerical data and statistical analysis for Fig panels 9A-9F, 10A-10D, 11A–11B, S5B, S6B, S7C–S7D, S8C–S8D, S10 and S11.
Data from: Channels of Interstate Risk Sharing, United States, 1963-2000
- icpsr.umich.edu
Updated Jun 18, 2018+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteAsdrubali, Pierfederico; Sorensen, Bent; Yosha, Oved (2018). Channels of Interstate Risk Sharing, United States, 1963-2000 [Dataset]. http://doi.org/10.3886/ICPSR25541.v1Unique identifierhttps://doi.org/10.3886/ICPSR25541.v1Dataset updatedJun 18, 2018Dataset provided byInter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/AuthorsAsdrubali, Pierfederico; Sorensen, Bent; Yosha, OvedLicensehttps://www.icpsr.umich.edu/web/ICPSR/studies/25541/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/25541/terms
Time period covered1963 - 2000Area coveredUnited StatesDescriptionThis study developed a framework for quantifying the amount of risk sharing among states in the United States, and constructed data that allowed researchers to decompose the cross-sectional variance in gross state product into levels of smoothing capital markets, federal government, and credit market smoothing. The collection contains 67 Excel data files, that were grouped into 17 datasets based on the organizational ordering schematic provided by the principal investigator, including: Dataset 1 - State Personal Income: n=1,938, 51 variables Dataset 2 - Federal Taxes and Contributions: n=17,948, 424 variables Dataset 3 - State Population: n=1,887, 51 variables Dataset 4 - State and Local Personal Taxes: n=11,526, 306 variables Dataset 5 - Interests on State and Local Funds: n=7,609, 205 variables Dataset 6 - Transfers: n=5,814, 153 variables Dataset 7 - Non Federal State Income: n=1,887, 51 variables Dataset 8 - Federal Grants: n=1,938, 51 variables Dataset 9 - Federal Transfers to Individuals: n=27,415, 766 variables Dataset 10 - Federal Personal Taxes: n=1,938, 51 variables Dataset 11 - State Government Expenditure: n=1,887, 51 variables Dataset 12 - Disposable State Income: n=1,836, 51 variables Dataset 13 - State Consumption: n=5,508, 153 variables Dataset 14 - State and Local Transfers: n=1,836, 51 variables Dataset 15 - Gross State Product: n=1,910, 52 variables Dataset 16 - Retail Sales: n=3,774, 102 variables Dataset 17 - Personal Consumption Expenditures: n=38, 2 variables
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Designed Microsoft Excel form which was used to develop the questionnaire on...
- figshare.com
xlsxUpdated Aug 13, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCitePaul Twene; Bismark Sarfo; Alfred A. E. Yawson; John Ekow Otoo; Annette Asraku (2024). Designed Microsoft Excel form which was used to develop the questionnaire on the ODK. [Dataset]. http://doi.org/10.1371/journal.pone.0295473.s002xlsxAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0295473.s002Dataset updatedAug 13, 2024Dataset provided byPLOS ONEAuthorsPaul Twene; Bismark Sarfo; Alfred A. E. Yawson; John Ekow Otoo; Annette AsrakuLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionDesigned Microsoft Excel form which was used to develop the questionnaire on the ODK.
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FacebookTwitterEmailExcel spreadsheet containing, in separate sheets, the underlying numerical values for generating Fig 2A, 2B, 2C, 3A, 3B, 3C, 3D, 4A, 4B, 4C, 4D, 5A, and 5B.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Excel spreadsheet containing, in separate sheets, the underlying numerical values for generating Fig 2A, 2B, 2C, 3A, 3B, 3C, 3D, 4A, 4B, 4C, 4D, 5A, and 5B.