15 datasets found
  1. d

    SAS-3 Y-Axis Pointed Obs Log

    • catalog.data.gov
    • s.cnmilf.com
    Updated Aug 22, 2025
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    High Energy Astrophysics Science Archive Research Center (2025). SAS-3 Y-Axis Pointed Obs Log [Dataset]. https://catalog.data.gov/dataset/sas-3-y-axis-pointed-obs-log
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    Dataset updated
    Aug 22, 2025
    Dataset provided by
    High Energy Astrophysics Science Archive Research Center
    Description

    This database is the Third Small Astronomy Satellite (SAS-3) Y-Axis Pointed Observation Log. It identifies possible pointed observations of celestial X-ray sources which were performed with the y-axis detectors of the SAS-3 X-Ray Observatory. This log was compiled (by R. Kelley, P. Goetz and L. Petro) from notes made at the time of the observations and it is expected that it is neither complete nor fully accurate. Possible errors in the log are (i) the misclassification of an observation as a pointed observation when it was either a spinning or dither observation and (ii) inaccuracy of the dates and times of the start and end of an observation. In addition, as described in the HEASARC_Updates section, the HEASARC added some additional information when creating this database. Further information about the SAS-3 detectors and their fields of view can be found at: http://heasarc.gsfc.nasa.gov/docs/sas3/sas3_about.html Disclaimer: The HEASARC is aware of certain inconsistencies between the Start_date, End_date, and Duration fields for a number of rows in this database table. They appear to be errors present in the original table. Except for one entry where the HEASARC corrected an error where there was a near-certainty which parameter was incorrect (as noted in the 'HEASARC_Updates' section of this documentation), these inconsistencies have been left as they were in the original table. This database table was released by the HEASARC in June 2000, based on the SAS-3 Y-Axis pointed Observation Log (available from the NSSDC as dataset ID 75-037A-02B), together with some additional information provided by the HEASARC itself. This is a service provided by NASA HEASARC .

  2. g

    SAS-3 Y-Axis Pointed Obs Log | gimi9.com

    • gimi9.com
    Updated Feb 1, 2001
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    (2001). SAS-3 Y-Axis Pointed Obs Log | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_sas-3-y-axis-pointed-obs-log/
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    Dataset updated
    Feb 1, 2001
    Description

    This database is the Third Small Astronomy Satellite (SAS-3) Y-Axis Pointed Observation Log. It identifies possible pointed observations of celestial X-ray sources which were performed with the y-axis detectors of the SAS-3 X-Ray Observatory. This log was compiled (by R. Kelley, P. Goetz and L. Petro) from notes made at the time of the observations and it is expected that it is neither complete nor fully accurate. Possible errors in the log are (i) the misclassification of an observation as a pointed observation when it was either a spinning or dither observation and (ii) inaccuracy of the dates and times of the start and end of an observation. In addition, as described in the HEASARC_Updates section, the HEASARC added some additional information when creating this database. Further information about the SAS-3 detectors and their fields of view can be found at: http://heasarc.gsfc.nasa.gov/docs/sas3/sas3_about.html Disclaimer: The HEASARC is aware of certain inconsistencies between the Start_date, End_date, and Duration fields for a number of rows in this database table. They appear to be errors present in the original table. Except for one entry where the HEASARC corrected an error where there was a near-certainty which parameter was incorrect (as noted in the 'HEASARC_Updates' section of this documentation), these inconsistencies have been left as they were in the original table. This database table was released by the HEASARC in June 2000, based on the SAS-3 Y-Axis pointed Observation Log (available from the NSSDC as dataset ID 75-037A-02B), together with some additional information provided by the HEASARC itself. This is a service provided by NASA HEASARC .

  3. d

    SAS-2 Map Product Catalog

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    Updated Jul 11, 2025
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    High Energy Astrophysics Science Archive Research Center (2025). SAS-2 Map Product Catalog [Dataset]. https://catalog.data.gov/dataset/sas-2-map-product-catalog
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    Dataset updated
    Jul 11, 2025
    Dataset provided by
    High Energy Astrophysics Science Archive Research Center
    Description

    This database is a collection of maps created from the 28 SAS-2 observation files. The original observation files can be accessed within BROWSE by changing to the SAS2RAW database. For each of the SAS-2 observation files, the analysis package FADMAP was run and the resulting maps, plus GIF images created from these maps, were collected into this database. Each map is a 60 x 60 pixel FITS format image with 1 degree pixels. The user may reconstruct any of these maps within the captive account by running FADMAP from the command line after extracting a file from within the SAS2RAW database. The parameters used for selecting data for these product map files are embedded keywords in the FITS maps themselves. These parameters are set in FADMAP, and for the maps in this database are set as 'wide open' as possible. That is, except for selecting on each of 3 energy ranges, all other FADMAP parameters were set using broad criteria. To find more information about how to run FADMAP on the raw event's file, the user can access help files within the SAS2RAW database or can use the 'fhelp' facility from the command line to gain information about FADMAP. This is a service provided by NASA HEASARC .

  4. g

    SAS-2 Map Product Catalog | gimi9.com

    • gimi9.com
    Updated Jun 25, 2025
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    (2025). SAS-2 Map Product Catalog | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_sas-2-map-product-catalog/
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    Dataset updated
    Jun 25, 2025
    Description

    This database is a collection of maps created from the 28 SAS-2 observation files. The original observation files can be accessed within BROWSE by changing to the SAS2RAW database. For each of the SAS-2 observation files, the analysis package FADMAP was run and the resulting maps, plus GIF images created from these maps, were collected into this database. Each map is a 60 x 60 pixel FITS format image with 1 degree pixels. The user may reconstruct any of these maps within the captive account by running FADMAP from the command line after extracting a file from within the SAS2RAW database. The parameters used for selecting data for these product map files are embedded keywords in the FITS maps themselves. These parameters are set in FADMAP, and for the maps in this database are set as 'wide open' as possible. That is, except for selecting on each of 3 energy ranges, all other FADMAP parameters were set using broad criteria. To find more information about how to run FADMAP on the raw event's file, the user can access help files within the SAS2RAW database or can use the 'fhelp' facility from the command line to gain information about FADMAP. This is a service provided by NASA HEASARC .

  5. c

    SAS-2 Photon Events Catalog

    • s.cnmilf.com
    • catalog.data.gov
    Updated Aug 22, 2025
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    High Energy Astrophysics Science Archive Research Center (2025). SAS-2 Photon Events Catalog [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/sas-2-photon-events-catalog
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    Dataset updated
    Aug 22, 2025
    Dataset provided by
    High Energy Astrophysics Science Archive Research Center
    Description

    The SAS2RAW database is a log of the 28 SAS-2 observation intervals and contains target names, sky coordinates start times and other information for all 13056 photons detected by SAS-2. The original data came from 2 sources. The photon information was obtained from the Event Encyclopedia, and the exposures were derived from the original "Orbit Attitude Live Time" (OALT) tapes stored at NASA/GSFC. These data sets were combined into FITS format images at HEASARC. The images were formed by making the center pixel of a 512 x 512 pixel image correspond to the RA and DEC given in the event file. Each photon's RA and DEC was converted to a relative pixel in the image. This was done by using Aitoff projections. All the raw data from the original SAS-2 binary data files are now stored in 28 FITS files. These images can be accessed and plotted using XIMAGE and other columns of the FITS file extensions can be plotted with the FTOOL FPLOT. This is a service provided by NASA HEASARC .

  6. g

    SAS-2 Photon Events Catalog | gimi9.com

    • gimi9.com
    Updated Feb 1, 2001
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    (2001). SAS-2 Photon Events Catalog | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_sas-2-photon-events-catalog/
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    Dataset updated
    Feb 1, 2001
    Description

    The SAS2RAW database is a log of the 28 SAS-2 observation intervals and contains target names, sky coordinates start times and other information for all 13056 photons detected by SAS-2. The original data came from 2 sources. The photon information was obtained from the Event Encyclopedia, and the exposures were derived from the original "Orbit Attitude Live Time" (OALT) tapes stored at NASA/GSFC. These data sets were combined into FITS format images at HEASARC. The images were formed by making the center pixel of a 512 x 512 pixel image correspond to the RA and DEC given in the event file. Each photon's RA and DEC was converted to a relative pixel in the image. This was done by using Aitoff projections. All the raw data from the original SAS-2 binary data files are now stored in 28 FITS files. These images can be accessed and plotted using XIMAGE and other columns of the FITS file extensions can be plotted with the FTOOL FPLOT. This is a service provided by NASA HEASARC .

  7. u

    SAS-2 Gamma-Ray Observations

    • vizier.cds.unistra.fr
    Updated Aug 2, 2004
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    CDS (2004). SAS-2 Gamma-Ray Observations [Dataset]. https://vizier.cds.unistra.fr/viz-bin/VizieR?-source=IX/9
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    Dataset updated
    Aug 2, 2004
    Dataset provided by
    CDS
    Description

    VizieR Online Data Catalog: SAS-2 Gamma-Ray Observations(Fichtel C.E.+, 1990)

  8. u

    DOHGS Merged Data Files containing all C-130 Observations

    • data.ucar.edu
    ascii
    Updated Aug 1, 2025
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    Louisa Emmons (2025). DOHGS Merged Data Files containing all C-130 Observations [Dataset]. http://doi.org/10.26023/RXWQ-5ZA7-BN09
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    asciiAvailable download formats
    Dataset updated
    Aug 1, 2025
    Authors
    Louisa Emmons
    Time period covered
    Jun 1, 2013 - Jul 15, 2013
    Area covered
    Description

    This dataset consists of DOHGS merged data from the 19 research flights with the C-130 over the Southeast U.S. between June 1 and July 15, 2013, as part of the Southeast Atmosphere Study (SAS). Merged data files have been created, combining all observations on the C-130 to a common time base for each flight. Version R5 (created Jan 21, 2015) of the merges includes all data available as of Jan 12. Start and stop times taken from the DOHGS file, midtime calculated from them. Averaging and missing value treatment as in 1-min merge.

  9. f

    Appendix C. Use of SAS proc Mixed.

    • wiley.figshare.com
    html
    Updated Jun 1, 2023
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    John P. Buonaccorsi; John Staudenmayer (2023). Appendix C. Use of SAS proc Mixed. [Dataset]. http://doi.org/10.6084/m9.figshare.3566670.v1
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    htmlAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Wiley
    Authors
    John P. Buonaccorsi; John Staudenmayer
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Use of SAS proc Mixed.

  10. f

    Data from: Adjusting the Scott-Knott cluster analyses for unbalanced designs...

    • scielo.figshare.com
    png
    Updated Jun 4, 2023
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    Thiago Vincenzi Conrado; Daniel Furtado Ferreira; Carlos Alberto Scapim; Wilson Roberto Maluf (2023). Adjusting the Scott-Knott cluster analyses for unbalanced designs [Dataset]. http://doi.org/10.6084/m9.figshare.14328636.v1
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    pngAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    SciELO journals
    Authors
    Thiago Vincenzi Conrado; Daniel Furtado Ferreira; Carlos Alberto Scapim; Wilson Roberto Maluf
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract The Scott-Knott cluster analysis is an alternative approach to mean comparisons with high power and no subset overlapping. It is well suited for the statistical challenges in agronomy associated with testing new cultivars, crop treatments, or methods. The original Scott-Knott test was developed to be used under balanced designs; therefore, the loss of a single plot can significantly increase the rate of type I error. In order to avoid type I error inflation from missing plots, we propose an adjustment that maintains power similar to the original test while adding error protection. The proposed adjustment was validated from more than 40 million simulated experiments following the Monte Carlo method. The results indicate a minimal loss of power with a satisfactory type I error control, while keeping the features of the original procedure. A user-friendly SAS macro is provided for this analysis.

  11. e

    XMM-OM Serendipitous Source Survey Catalogue (XMM-SUSS6.0) - Dataset -...

    • b2find.eudat.eu
    Updated Jul 24, 2025
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    (2025). XMM-OM Serendipitous Source Survey Catalogue (XMM-SUSS6.0) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/f376f3ce-cc9e-5254-b99d-a50bb155dc78
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    Dataset updated
    Jul 24, 2025
    Description

    SUSS6.0 is a new 2023 release of the XMM OM Serendipitous Ultraviolet Source Survey catalogue. The catalogue was compiled for the Optical Monitor instrument on board the ESA XMM Newton observatory. This version, the 6th release of the catalogue, spans the period of observations from XMM-Newton revolution 34 (February 2000) to revolution 4207 (Novemver 2022). A detailed description of the Catalogue can be found at https://www.ucl.ac.uk/mssl/research-projects/2018/dec/xmm-newton. A refereed paper on the first version can be found in Page M.J. et al. (2012MNRAS.426..903P). In addition to covering a larger observation period, this sixth release reflects a change in philosophy with regard to the origin of the incorporated data. In previous releases, the data were generated via a bespoke processing of the OM Observation Data Files (ODFs) while in this new release, we have been guided by the XMM user community and we have sought to harmonize the contents of the catalogue with those of the OM data in the XMM-Newton Science Archive (XSA), which derive from the standard XMM-Newton pipeline processing system. While the bespoke processing and pipeline systems are fundamentally very similar, they are not identical and the differences lead to some differences in the output. All data have been fully processed at the European Space Astronomy Centre (ESAC, Madrid, Spain) using the XMM-Newton pipeline processing system (PPS) that invokes the XMM Science Analysis Software (SAS) - the vast majority of observations having been processed using SAS versions 18 and 19. The number of observations (OBSIDs) included in the catalogue is 12057. The total number of entries (detections) in this release is 9,920,390. They correspond to 6,659,554 unique sources, of which 1,225,117 have multiple entries in the source table, corresponding to different observations. The Catalogue is a FITS file consisting of two tables (please note that users wishing to use the TOPCAT tool to manipulate the catalogue, need to select the table format option, "FITS" to load the catalogue). The first table (SRCLIST) contains the source detections, with positional and photometric data (count rate, magnitude and flux) and quality flags for each measurement.

  12. f

    Generalized linear mixed model (GLIMMIX module in SAS 9.1; exponential error...

    • figshare.com
    xls
    Updated May 31, 2023
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    Michael Griesser; Qi Ma; Simone Webber; Katharine Bowgen; David J. T. Sumpter (2023). Generalized linear mixed model (GLIMMIX module in SAS 9.1; exponential error function; Type III Tests of Fixed Effects) showing the effect of independent model terms on House sparrow group sizes (n = 6067 groups) in 36 locations. [Dataset]. http://doi.org/10.1371/journal.pone.0023438.t002
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michael Griesser; Qi Ma; Simone Webber; Katharine Bowgen; David J. T. Sumpter
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The effect of non-significant terms was estimated by adding them individually in to the final model. Minute of scan was nested within site and date and added as random factor into the model to control for the effect of repeated observations within a given site.a =  Place: air, ground, hedge, tree, house and wires, foodb =  Activity: fight, fly, forage, perchc =  Temperature in degree Cd =  Food spillage: locations without food spillage (i.e. maize, chicken food, grains, manure, hay), minor food spillage, medium degree of food spillage in several places, large degree of food spillage in the whole locatione =  Disturbance occurred during sampling (i.e. passing by car, human)f =  Number of different crops, animal foods stored at the siteg = Number of different stock in each site (i.e. horses, cows, sheep, pigs, chicken)h =  Distance to next location in mI =  Weather during the observation: foggy, strong wind or rain, normal weather (i.e. no fog, strong wind or rain).

  13. f

    Appendix B. An annotated SAS program for calculating parameter estimates for...

    • wiley.figshare.com
    html
    Updated Jun 1, 2023
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    Brian Dennis; José Miguel Ponciano; Subhash R. Lele; Mark L. Taper; David F. Staples (2023). Appendix B. An annotated SAS program for calculating parameter estimates for the Gompertz state-space model, along with annotated output. [Dataset]. http://doi.org/10.6084/m9.figshare.3565572.v1
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    htmlAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Wiley
    Authors
    Brian Dennis; José Miguel Ponciano; Subhash R. Lele; Mark L. Taper; David F. Staples
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    An annotated SAS program for calculating parameter estimates for the Gompertz state-space model, along with annotated output.

  14. f

    Summary of SAS Proc Traj results for three groups based on mouse alcohol...

    • plos.figshare.com
    xls
    Updated Apr 11, 2025
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    Nathan Yu; Derek Gordon; Hong Zou; Yingying Chen; Lei Yu (2025). Summary of SAS Proc Traj results for three groups based on mouse alcohol consumption data. [Dataset]. http://doi.org/10.1371/journal.pone.0321506.t002
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    xlsAvailable download formats
    Dataset updated
    Apr 11, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Nathan Yu; Derek Gordon; Hong Zou; Yingying Chen; Lei Yu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary of SAS Proc Traj results for three groups based on mouse alcohol consumption data.

  15. f

    Number and percentage of observations classified into breeds.

    • plos.figshare.com
    xls
    Updated Dec 3, 2024
    + more versions
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    Amine Mustefa; Mulata Hayelom; Awoke Melak (2024). Number and percentage of observations classified into breeds. [Dataset]. http://doi.org/10.1371/journal.pone.0313190.t007
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    xlsAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Amine Mustefa; Mulata Hayelom; Awoke Melak
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Number and percentage of observations classified into breeds.

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    Learn how you can add new datasets to our index.

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High Energy Astrophysics Science Archive Research Center (2025). SAS-3 Y-Axis Pointed Obs Log [Dataset]. https://catalog.data.gov/dataset/sas-3-y-axis-pointed-obs-log

SAS-3 Y-Axis Pointed Obs Log

Explore at:
Dataset updated
Aug 22, 2025
Dataset provided by
High Energy Astrophysics Science Archive Research Center
Description

This database is the Third Small Astronomy Satellite (SAS-3) Y-Axis Pointed Observation Log. It identifies possible pointed observations of celestial X-ray sources which were performed with the y-axis detectors of the SAS-3 X-Ray Observatory. This log was compiled (by R. Kelley, P. Goetz and L. Petro) from notes made at the time of the observations and it is expected that it is neither complete nor fully accurate. Possible errors in the log are (i) the misclassification of an observation as a pointed observation when it was either a spinning or dither observation and (ii) inaccuracy of the dates and times of the start and end of an observation. In addition, as described in the HEASARC_Updates section, the HEASARC added some additional information when creating this database. Further information about the SAS-3 detectors and their fields of view can be found at: http://heasarc.gsfc.nasa.gov/docs/sas3/sas3_about.html Disclaimer: The HEASARC is aware of certain inconsistencies between the Start_date, End_date, and Duration fields for a number of rows in this database table. They appear to be errors present in the original table. Except for one entry where the HEASARC corrected an error where there was a near-certainty which parameter was incorrect (as noted in the 'HEASARC_Updates' section of this documentation), these inconsistencies have been left as they were in the original table. This database table was released by the HEASARC in June 2000, based on the SAS-3 Y-Axis pointed Observation Log (available from the NSSDC as dataset ID 75-037A-02B), together with some additional information provided by the HEASARC itself. This is a service provided by NASA HEASARC .

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