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IBEX High Energy Neutral Atom Imager (Hi) Data Release 16, not Compton-Getting corrected, Survival Probability corrected, Antiram direction, West Longitude Ecliptic Maps, Level H3 (H3), annually averaged Data
* 1: The Interstellar Boundary Explorer (IBEX) has operated in space since 2008 updating our knowledge of the outer heliosphere and its interaction with the local interstellar medium. Start-time: 2008-12-25. There are currently 16 releases of IBEX-HI and/or IBEX-LO data covering 2009-2019.* 2: This data set is from the Release 16 (1 year-cadence) IBEX-Hi map data for the years 2009-2019 in the form of antiram-directional ENA (hydrogen) fluxes with no Compton-Getting correction (nocg) of flux spectra for spacecraft motion and correction for ENA survival probability (sp) between 1 and 100 AU.* 3. The data consist of all-sky maps in Solar Ecliptic Longitude (east and west) and Latitude angles for ENA (hydrogen) fluxes from IBEX-Hi energy bands 2-6 in numerical data form. Energy channels 2-6 have FWHM ranges of 0.52-0.95, 0.84-1.55, 1.36-2.50, 1.99-3.75, 3.13-6.00 keV, respectively. The corresponding center-point energies are 0.71, 1.11, 1.74, 2.73, and 4.29 keV. Details of the data and enabled science from Release 10 are given in the following journal publication:* 4: McComas, D. J., et al. (2017), Seven Years of Imaging the Global Heliosphere with IBEX, Astrophys. J. Supp. Ser., 229(2), 41 (32 pp.),* 5: http://doi.org/10.3847/1538-4365/aa66d8* 6. The following codes are used to define dataset types:- cg = Compton-Getting corrections have been applied to the data to account for the speed of the spacecraft relative to the direction of arrival of the ENAs.- nocg = no Compton-Getting corrections- sp = survival probability corrections have been applied to the data to account for the loss of ENAs due to radiation pressure, photoionization and ionization via charge exchange with solar wind protons as they stream through the heliosphere. This correction scales the data out from IBEX at 1 AU to ~100 AU. In the original data this mode is denoted as Tabular.- noSP - no survival probability corrections have been applied to the data.- omni = data from all directions.- ram = data was collected when the spacecraft was ramming into the incoming ENAs.- antiram = data was collected when the spacecraft was moving away from the incoming ENAs.* 7. The following list associates Release 16 map numbers (1-22) with mission year (1-9), orbits (11-471b), and dates (12/25/2008-12/26/2019):- Map 1: Map2009A, year 1, orbits 11-34, dates 12/25/2008-06/25/2009- Map 2: Map2009B, year 1, orbits 35-58, dates 06/25/2009-12/25/2009- Map 3: Map2010A, year 2, orbits 59-82, dates 12/25/2009-06/26/2010- Map 4: Map2010B, year 2, orbits 83-106, dates 06/26/2010-12/26/2010- Map 5: Map2011A, year 3, orbits 107-130a, dates 12/26/2010-06/25/2011- Map 6: Map2011B, year 3, orbits 130b-150a, dates 06/25/2011-12/24/2011- Map 7: Map2012A, year 4, orbits 150b-170a, dates 12/24/2011-06/22/2012- Map 8: Map2012B, year 4, orbits 170b-190b, dates 06/22/2012-12/26/2012- Map 9: Map2013A, year 5, orbits 191a-210b, dates 12/26/2012-06/26/2013- Map 10: Map2013B, year 5, orbits 211a-230b, dates 06/26/2013-12/26/2013- Map 11: Map2014A, year 6, orbits 231a-250b, dates 12/26/2013-06/26/2014- Map 12: Map2014B, year 6, orbits 251a-270b, dates 06/26/2014-12/24/2014- Map 13: Map2015A, year 7, orbits 271a-290b, dates 12/24/2014-06/24/2015- Map 14: Map2015B, year 7, orbits 291a-310b, dates 06/24/2015-12/23/2015- Map 15: Map2016A, year 8, orbits 311a-330b, dates 12/24/2015-06/23/2016- Map 16: Map2016B, year 8, orbits 331a-351a, dates 06/24/2016-12/26/2016- Map 17: Map2017A, year 9, orbits 351b-371a, dates 12/26/2016-06/24/2017- Map 18: Map2017B, year 9, orbits 371b-391a, dates 06/25/2017-12/25/2017- Map 19: Map2018A, year 10, orbits 391b-411b, dates 12/25/2017-06/28/2018- Map 20: Map2018B, year 10, orbits 412a-431b, dates 06/29/2018-12/26/2018- Map 21: Map2019A, year 11, orbits 432a-451b, dates 12/27/2018-06/27/2019- Map 22: Map2019B, year 11, orbits 452a-471b, dates 06/28/2019-12/26/2019* 8: This particular data set, denoted in the original ascii files as hvset_tabular_antiram_N for N=2009-2019, includes pixel map data from antiram direction (antiram-directional), no CG, SP, 1 year cadence.
IBEX High Energy Neutral Atom Imager (ENA-Hi) Data Release 10, not Compton-Getting corrected, Survival Probability corrected, Omnidirectional, West Longitude Ecliptic Maps, Level H3 (H3), 7 year average Data
The IBEX ENA-Hi and IBEX ENA-Lo data sets are from Release 10 of all-sky map data for the first seven years, 2009-2015, in the form of omni direction Hydrogen, H, energetic neutral atom fluxes with no Compton-Getting corrections for spacecraft motion and with corrections for ENA survival probability between 1 and 100 AU. All-sky maps have been compiled for the whole 7 yr time interval. The Interstellar Boundary Explorer, IBEX, has operated in space since 2008 updating our knowledge of the outer heliosphere and its interaction with the local interstellar medium. Start-time: 2008-12-25. There are currently 14 releases of IBEX ENA-Hi and/or IBEX ENA-Lo data covering 2009-2017. The data consist of all-sky maps in Solar Ecliptic Longitude, east and west, and Latitude angles for Energetic Neutral Atom, ENA, Hydrogen fluxes from either IBEX ENA-Hi from energy band 2 through energy band 6, see the first table below, or from IBEX ENA-Lo from energy band 5 through energy band 8, see the second table below. Details of the data and enabled science from Release 10 are given in the following journal publications that describe the 7-yr data results and the IBEX-Hi and IBEX-Lo Instruments: McComas, D.J., et al. (2017), Seven Years of Imaging the Global Heliosphere with IBEX, Astrophys. J. Supp. Ser., 229(2), 41 (32 pp.), http://doi.org/10.3847/1538-4365/aa66d8 Funnsten, H.O., et al. (2009), The Interstellar Boundary Explorer High Energy (IBEX-Hi) Neutral Atom Imager, Space Sci. Rev., 146, 75-103, https://doi.org/10.1007/s11214-009-9504-y Fuselier, S.A., et al. (2009), The IBEX-Lo Sensor, Space Sci. Rev., 146, 117-147, https://doi.org/10.1007/s11214-009-9495-8 The IBEX ENA-Hi band/channel center energies and full width half maximum, FWHM, energy ranges are listed in a table below: +-----------------------------------------------------+ Energy Band Center Energy Energy Range ----------------------------------------------------- Channel 2 ~0.71 keV 0.52 keV to 0.95 keV Channel 3 ~1.11 keV 0.84 keV to 1.55 keV Channel 4 ~1.74 keV 1.36 keV to 2.50 keV Channel 5 ~2.73 keV 1.99 keV to 3.75 keV Channel 6 ~4.29 keV 3.13 keV to 6.00 keV +-----------------------------------------------------+ The IBEX ENA-Lo band/channel center energies are listed in a table below: +-----------------------------+ Energy Band Center Energy ----------------------------- Channel 1 0.015 keV Channel 2 0.029 keV Channel 3 0.055 keV Channel 4 0.110 keV Channel 5 0.209 keV Channel 6 0.439 keV Channel 7 0.872 keV Channel 8 1.821 keV +-----------------------------+ This particular IBEX-Hi CDF data product was constructed from the original ascii files named using the pattern hvset_tabular_yearN for N=1,14, includes pixel map data from the omni direction, with no corrections, nocg, for the Compton-Getting effect corrections, sp, for ENA survival probability between 1 AU and 100 AU, and a map compilation cadence equal to seven year. In all, there are 12 IBEX ENA-Hi and IBEX ENA-Lo Release 10 CDF data products resulting from the existing combinations of options for ENA-Hi and ENA-Lo, two Compton-Getting correction settings by two survival probability settings by three directional settings: antiram, ram, omni. The table below defines how the file naming pattern is constructed for each data product. Note that "ibex_h3_ena_hi_r10" is the file naming pattern root for all ten of these IBEX ENA-Hi CDF data products while "ibex_h3_ena_lo_r10" is the file naming pattern root for the two of these IBEX ENA-Lo CDF data products. The asterisk symbols in the last column of the table shows the line corresponding to this CDF data product within the expanded file naming pattern schema. +---------------------------------------------------------------------------------------------------+ C-G Corr. SP Corr. Dir. Acronym ENA Hi/Lo File Naming Pattern for 7 yr Skymaps --------------------------------------------------------------------------------------------------- cg nosp antiram ENA Hi ibex_h3_ena_hi_r10_cg_nosp_antiram_7yr cg sp antiram ENA Hi ibex_h3_ena_hi_r10_cg_sp_antiram_7yr nocg nosp antiram ENA Hi ibex_h3_ena_hi_r10_nocg_nosp_antiram_7yr nocg sp antiram ENA Hi ibex_h3_ena_hi_r10_nocg_sp_antiram_7yr --------------------------------------------------------------------------------------------------- cg nosp ram ENA Hi ibex_h3_ena_hi_r10_cg_nosp_ram_7yr cg sp ram ENA Hi ibex_h3_ena_hi_r10_cg_sp_ram_7yr --------------------------------------------------------------------------------------------------- cg nosp omni ENA Hi ibex_h3_ena_hi_r10_cg_nosp_omni_7yr cg sp omni ENA Hi ibex_h3_ena_hi_r10_cg_sp_omni_7yr nocg nosp omni ENA Hi ibex_h3_ena_hi_r10_nocg_nosp_omni_7yr nocg sp omni ENA Hi ibex_h3_ena_hi_r10_nocg_sp_omni_7yr
IBEX High Energy Neutral Atom Imager (Hi) Data Release 04, Compton-Getting corrected, Survival Probability corrected, Antiram direction, West Longitude Ecliptic Maps, Level H3 (H3), annually averaged Data
* 1: The Interstellar Boundary Explorer (IBEX) has operated in space since 2008 updating our knowledge of the outer heliosphere and its interaction with the local interstellar medium. Start-time: 2008-12-25. There are currently 16 releases of IBEX-HI and/or IBEX-LO data covering 2009-2019.* 2: This data set is from the Release 4 (1 year-cadence) IBEX-Hi map data for the years 2009-2012 in the form of antiram-directional ENA (hydrogen) fluxes with Compton-Getting correction (cg) of flux spectra for spacecraft motion and correction for ENA survival probability (sp) between 1 and 100 AU.* 3. The data consist of all-sky maps in Solar Ecliptic Longitude (east and west) and Latitude angles for ENA (hydrogen) fluxes from IBEX-Hi energy bands 2-6 in numerical data form. Energy channels 2-6 have FWHM ranges of 0.52-0.95, 0.84-1.55, 1.36-2.50, 1.99-3.75, 3.13-6.00 keV, respectively. The corresponding center-point energies are 0.71, 1.11, 1.74, 2.73, and 4.29 keV. Details of the data and enabled science from Release 10 are given in the following journal publication:* 4: McComas, D. J., et al. (2017), Seven Years of Imaging the Global Heliosphere with IBEX, Astrophys. J. Supp. Ser., 229(2), 41 (32 pp.),* 5: http://doi.org/10.3847/1538-4365/aa66d8* 6. The following codes are used to define dataset types:- cg = Compton-Getting corrections have been applied to the data to account for the speed of the spacecraft relative to the direction of arrival of the ENAs.- nocg = no Compton-Getting corrections- sp = survival probability corrections have been applied to the data to account for the loss of ENAs due to radiation pressure, photoionization and ionization via charge exchange with solar wind protons as they stream through the heliosphere. This correction scales the data out from IBEX at 1 AU to ~100 AU. In the original data this mode is denoted as Tabular.- noSP - no survival probability corrections have been applied to the data.- omni = data from all directions.- ram = data was collected when the spacecraft was ramming into the incoming ENAs.- antiram = data was collected when the spacecraft was moving away from the incoming ENAs.* 7. The following list associates Release 16 map numbers (1-22) with mission year (1-9), orbits (11-471b), and dates (12/25/2008-12/26/2019):- Map 1: Map2009A, year 1, orbits 11-34, dates 12/25/2008-06/25/2009- Map 2: Map2009B, year 1, orbits 35-58, dates 06/25/2009-12/25/2009- Map 3: Map2010A, year 2, orbits 59-82, dates 12/25/2009-06/26/2010- Map 4: Map2010B, year 2, orbits 83-106, dates 06/26/2010-12/26/2010- Map 5: Map2011A, year 3, orbits 107-130a, dates 12/26/2010-06/25/2011- Map 6: Map2011B, year 3, orbits 130b-150a, dates 06/25/2011-12/24/2011- Map 7: Map2012A, year 4, orbits 150b-170a, dates 12/24/2011-06/22/2012- Map 8: Map2012B, year 4, orbits 170b-190b, dates 06/22/2012-12/26/2012- Map 9: Map2013A, year 5, orbits 191a-210b, dates 12/26/2012-06/26/2013- Map 10: Map2013B, year 5, orbits 211a-230b, dates 06/26/2013-12/26/2013- Map 11: Map2014A, year 6, orbits 231a-250b, dates 12/26/2013-06/26/2014- Map 12: Map2014B, year 6, orbits 251a-270b, dates 06/26/2014-12/24/2014- Map 13: Map2015A, year 7, orbits 271a-290b, dates 12/24/2014-06/24/2015- Map 14: Map2015B, year 7, orbits 291a-310b, dates 06/24/2015-12/23/2015- Map 15: Map2016A, year 8, orbits 311a-330b, dates 12/24/2015-06/23/2016- Map 16: Map2016B, year 8, orbits 331a-351a, dates 06/24/2016-12/26/2016- Map 17: Map2017A, year 9, orbits 351b-371a, dates 12/26/2016-06/24/2017- Map 18: Map2017B, year 9, orbits 371b-391a, dates 06/25/2017-12/25/2017- Map 19: Map2018A, year 10, orbits 391b-411b, dates 12/25/2017-06/28/2018- Map 20: Map2018B, year 10, orbits 412a-431b, dates 06/29/2018-12/26/2018- Map 21: Map2019A, year 11, orbits 432a-451b, dates 12/27/2018-06/27/2019- Map 22: Map2019B, year 11, orbits 452a-471b, dates 06/28/2019-12/26/2019* 8: This particular data set, denoted in the original ascii files as hvset_tabular_antiram_yearN_cg for N = 1 - 3, in which N indicates a map number, includes pixel map data from antiram direction (antiram-directional), CG, SP, 1 year cadence.
IBEX High Energy Neutral Atom Imager (Hi) Data Release 04, Compton-Getting corrected, Survival Probability corrected, Ram direction, West Longitude Ecliptic Maps, Level H3 (H3), annually averaged Data
* 1: The Interstellar Boundary Explorer (IBEX) has operated in space since 2008 updating our knowledge of the outer heliosphere and its interaction with the local interstellar medium. Start-time: 2008-12-25. There are currently 16 releases of IBEX-HI and/or IBEX-LO data covering 2009-2019.* 2: This data set is from the Release 4 (1 year-cadence) IBEX-Hi map data for the years 2009-2012 in the form of ram-directional ENA (hydrogen) fluxes with Compton-Getting correction (cg) of flux spectra for spacecraft motion and correction for ENA survival probability (sp) between 1 and 100 AU.* 3. The data consist of all-sky maps in Solar Ecliptic Longitude (east and west) and Latitude angles for ENA (hydrogen) fluxes from IBEX-Hi energy bands 2-6 in numerical data form. Energy channels 2-6 have FWHM ranges of 0.52-0.95, 0.84-1.55, 1.36-2.50, 1.99-3.75, 3.13-6.00 keV, respectively. The corresponding center-point energies are 0.71, 1.11, 1.74, 2.73, and 4.29 keV. Details of the data and enabled science from Release 10 are given in the following journal publication:* 4: McComas, D. J., et al. (2017), Seven Years of Imaging the Global Heliosphere with IBEX, Astrophys. J. Supp. Ser., 229(2), 41 (32 pp.),* 5: http://doi.org/10.3847/1538-4365/aa66d8* 6. The following codes are used to define dataset types:- cg = Compton-Getting corrections have been applied to the data to account for the speed of the spacecraft relative to the direction of arrival of the ENAs.- nocg = no Compton-Getting corrections- sp = survival probability corrections have been applied to the data to account for the loss of ENAs due to radiation pressure, photoionization and ionization via charge exchange with solar wind protons as they stream through the heliosphere. This correction scales the data out from IBEX at 1 AU to ~100 AU. In the original data this mode is denoted as Tabular.- noSP - no survival probability corrections have been applied to the data.- omni = data from all directions.- ram = data was collected when the spacecraft was ramming into the incoming ENAs.- antiram = data was collected when the spacecraft was moving away from the incoming ENAs.* 7. The following list associates Release 16 map numbers (1-22) with mission year (1-9), orbits (11-471b), and dates (12/25/2008-12/26/2019):- Map 1: Map2009A, year 1, orbits 11-34, dates 12/25/2008-06/25/2009- Map 2: Map2009B, year 1, orbits 35-58, dates 06/25/2009-12/25/2009- Map 3: Map2010A, year 2, orbits 59-82, dates 12/25/2009-06/26/2010- Map 4: Map2010B, year 2, orbits 83-106, dates 06/26/2010-12/26/2010- Map 5: Map2011A, year 3, orbits 107-130a, dates 12/26/2010-06/25/2011- Map 6: Map2011B, year 3, orbits 130b-150a, dates 06/25/2011-12/24/2011- Map 7: Map2012A, year 4, orbits 150b-170a, dates 12/24/2011-06/22/2012- Map 8: Map2012B, year 4, orbits 170b-190b, dates 06/22/2012-12/26/2012- Map 9: Map2013A, year 5, orbits 191a-210b, dates 12/26/2012-06/26/2013- Map 10: Map2013B, year 5, orbits 211a-230b, dates 06/26/2013-12/26/2013- Map 11: Map2014A, year 6, orbits 231a-250b, dates 12/26/2013-06/26/2014- Map 12: Map2014B, year 6, orbits 251a-270b, dates 06/26/2014-12/24/2014- Map 13: Map2015A, year 7, orbits 271a-290b, dates 12/24/2014-06/24/2015- Map 14: Map2015B, year 7, orbits 291a-310b, dates 06/24/2015-12/23/2015- Map 15: Map2016A, year 8, orbits 311a-330b, dates 12/24/2015-06/23/2016- Map 16: Map2016B, year 8, orbits 331a-351a, dates 06/24/2016-12/26/2016- Map 17: Map2017A, year 9, orbits 351b-371a, dates 12/26/2016-06/24/2017- Map 18: Map2017B, year 9, orbits 371b-391a, dates 06/25/2017-12/25/2017- Map 19: Map2018A, year 10, orbits 391b-411b, dates 12/25/2017-06/28/2018- Map 20: Map2018B, year 10, orbits 412a-431b, dates 06/29/2018-12/26/2018- Map 21: Map2019A, year 11, orbits 432a-451b, dates 12/27/2018-06/27/2019- Map 22: Map2019B, year 11, orbits 452a-471b, dates 06/28/2019-12/26/2019* 8: This particular data set, denoted in the original ascii files as hvset_tabular_ram_yearN_cg for N = 1 - 3, in which N indicates a map number, includes pixel map data from ram direction (ram-directional), CG, SP, 1 year cadence.
IBEX High Energy Neutral Atom Imager (Hi) Data Release 16, not Compton-Getting corrected, Survival Probability corrected, Omnidirectional, West Longitude Ecliptic Maps, Level H3 (H3), semiannually averaged Data
* 1: The Interstellar Boundary Explorer (IBEX) has operated in space since 2008 updating our knowledge of the outer heliosphere and its interaction with the local interstellar medium. Start-time: 2008-12-25. There are currently 16 releases of IBEX-HI and/or IBEX-LO data covering 2009-2019.* 2: This data set is from the Release 16 (6 months-cadence) IBEX-Hi map data for the years 2009-2019 in the form of omnidirectional ENA (hydrogen) fluxes with no Compton-Getting correction (nocg) of flux spectra for spacecraft motion and correction for ENA survival probability (sp) between 1 and 100 AU.* 3. The data consist of all-sky maps in Solar Ecliptic Longitude (east and west) and Latitude angles for ENA (hydrogen) fluxes from IBEX-Hi energy bands 2-6 in numerical data form. Energy channels 2-6 have FWHM ranges of 0.52-0.95, 0.84-1.55, 1.36-2.50, 1.99-3.75, 3.13-6.00 keV, respectively. The corresponding center-point energies are 0.71, 1.11, 1.74, 2.73, and 4.29 keV. Details of the data and enabled science from Release 10 are given in the following journal publication:* 4: McComas, D. J., et al. (2017), Seven Years of Imaging the Global Heliosphere with IBEX, Astrophys. J. Supp. Ser., 229(2), 41 (32 pp.),* 5: http://doi.org/10.3847/1538-4365/aa66d8* 6. The following codes are used to define dataset types:- cg = Compton-Getting corrections have been applied to the data to account for the speed of the spacecraft relative to the direction of arrival of the ENAs.- nocg = no Compton-Getting corrections- sp = survival probability corrections have been applied to the data to account for the loss of ENAs due to radiation pressure, photoionization and ionization via charge exchange with solar wind protons as they stream through the heliosphere. This correction scales the data out from IBEX at 1 AU to ~100 AU. In the original data this mode is denoted as Tabular.- noSP - no survival probability corrections have been applied to the data.- omni = data from all directions.- ram = data was collected when the spacecraft was ramming into the incoming ENAs.- antiram = data was collected when the spacecraft was moving away from the incoming ENAs.* 7. The following list associates Release 16 map numbers (1-22) with mission year (1-9), orbits (11-471b), and dates (12/25/2008-12/26/2019):- Map 1: Map2009A, year 1, orbits 11-34, dates 12/25/2008-06/25/2009- Map 2: Map2009B, year 1, orbits 35-58, dates 06/25/2009-12/25/2009- Map 3: Map2010A, year 2, orbits 59-82, dates 12/25/2009-06/26/2010- Map 4: Map2010B, year 2, orbits 83-106, dates 06/26/2010-12/26/2010- Map 5: Map2011A, year 3, orbits 107-130a, dates 12/26/2010-06/25/2011- Map 6: Map2011B, year 3, orbits 130b-150a, dates 06/25/2011-12/24/2011- Map 7: Map2012A, year 4, orbits 150b-170a, dates 12/24/2011-06/22/2012- Map 8: Map2012B, year 4, orbits 170b-190b, dates 06/22/2012-12/26/2012- Map 9: Map2013A, year 5, orbits 191a-210b, dates 12/26/2012-06/26/2013- Map 10: Map2013B, year 5, orbits 211a-230b, dates 06/26/2013-12/26/2013- Map 11: Map2014A, year 6, orbits 231a-250b, dates 12/26/2013-06/26/2014- Map 12: Map2014B, year 6, orbits 251a-270b, dates 06/26/2014-12/24/2014- Map 13: Map2015A, year 7, orbits 271a-290b, dates 12/24/2014-06/24/2015- Map 14: Map2015B, year 7, orbits 291a-310b, dates 06/24/2015-12/23/2015- Map 15: Map2016A, year 8, orbits 311a-330b, dates 12/24/2015-06/23/2016- Map 16: Map2016B, year 8, orbits 331a-351a, dates 06/24/2016-12/26/2016- Map 17: Map2017A, year 9, orbits 351b-371a, dates 12/26/2016-06/24/2017- Map 18: Map2017B, year 9, orbits 371b-391a, dates 06/25/2017-12/25/2017- Map 19: Map2018A, year 10, orbits 391b-411b, dates 12/25/2017-06/28/2018- Map 20: Map2018B, year 10, orbits 412a-431b, dates 06/29/2018-12/26/2018- Map 21: Map2019A, year 11, orbits 432a-451b, dates 12/27/2018-06/27/2019- Map 22: Map2019B, year 11, orbits 452a-471b, dates 06/28/2019-12/26/2019* 8: This particular data set, denoted in the original ascii files as hvset_tabular_NX for N=2009-2019, which indicates a year data collected, and X = A or B, showing first or second half of the year, includes pixel map data from all directions (omnidirectional), no CG, SP, 6 month cadence.
Dataset related to article "PET/CT-based radiomics of mass-forming intrahepatic cholangiocarcinoma improves prediction of pathology data and survival "
<p>This record contains raw data related to article "PET/CT-based radiomics of mass-forming intrahepatic cholangiocarcinoma improves prediction of pathology data and survival"</p> <p>Abstract</p> <p><strong>Purpose: </strong> Intrahepatic cholangiocarcinoma (IHC) is an aggressive disease with few reliable preoperative biomarkers. This study aims to elucidate if radiomics extracted from preoperative [18F]FDG PET/CT may grant a non-invasive biological characterization of IHC and predict outcome after complete resection of the tumor.</p> <p><strong>Methods: </strong> All patients preoperatively imaged by [18F]FDG PET/CT who underwent hepatectomy for mass-forming IHC in the period 2010-2019 were retrospectively evaluated. On PET images, manual slice-by-slice segmentation of IHC was performed (Tumor-VOI). A 5-mm margin region was semi-automatically generated around the tumor (Margin-VOI). Textural analysis was performed using the LifeX software. Analyzed outcomes included tumor grading (G3 vs. G1-2), microvascular invasion (MVI), overall survival (OS), and progression-free survival (PFS). The performances of the combined clinical-radiomic models were compared with those of standard clinical models.</p> <p><strong>Results: </strong> Overall, 74 patients (40 females, median age 68 years) were included. Considering tumor grading and MVI, the models combining the clinical data and radiomics of the Tumor-VOI had better performances than the clinical ones (AUC = 0.78 vs. 0.72 for grading; 0.87 vs. 0.78 for MVI). The inclusion into the models of radiomics of the Margin-VOI further improved the prediction of grading (AUC = 0.83), but not of MVI. Considering OS and PFS, the models including the preoperative clinical data and radiomics of the Tumor-VOI and Margin-VOI had better performances than the pure clinical ones (C-index = 0.81 vs. 0.76 for OS; 0.81 vs. 0.72 for PFS) and similar to the models including the pathology and postoperative data (C-index = 0.81 for OS; 0.79 for PFS). No model retained the standard SUV measures.</p> <p><strong>Conclusion: </strong> The PET-based radiomics of IHC can predict pathology data and allow a reliable preoperative evaluation of prognosis. The radiomics of both the tumoral and peritumoral areas had clinical relevance. The combined clinical-radiomic models outperformed the pure preoperative clinical ones and achieved performances non-inferior to the postoperative models.</p>
Expression data comparing osimertinib-resistant H1975 and PC-9 cells, and cells that survive after treatment of those cells with a PAI-1 inhibitor
GEO Series GSE216149. Homo sapiens. 12 samples. Type: Expression profiling by array.
The General Transcription Factor TAF7 is Essential for Embryonic Development but Not Essential for the Survival or Differentiation of Mature T Cells (T cell data)
GEO Series GSE34795. Mus musculus. 2 samples. Type: Expression profiling by array.
Data set from Mazzaccaro D, Modafferi A, Malacrida G, Nano G. Assessment of long-term survival and stroke after carotid endarterectomy and carotid stenting in patients older than 80 years. J Vasc Surg. 2019 Aug;70(2):522-529. doi: 10.1016/j.jvs.2018.10.121. Epub 2019 Mar 2. PMID: 30837178.
<p>Data set from Mazzaccaro D, Modafferi A, Malacrida G, Nano G. Assessment of long-term survival and stroke after carotid endarterectomy and carotid stenting in patients older than 80 years. J Vasc Surg. 2019 Aug;70(2):522-529. doi: 10.1016/j.jvs.2018.10.121. Epub 2019 Mar 2. PMID: 30837178.</p> <p> </p> <p>This is the abstract:</p> <p><strong>Objective: </strong> The objective of this study was to analyze preoperative risk factors affecting long-term survival and the occurrence of stroke in patients older than 80 years undergoing either carotid endarterectomy (CEA) or carotid artery stenting (CAS) for carotid stenosis.</p> <p><strong>Methods: </strong> Data of all consecutive patients treated from January 1999 to December 2017 were retrospectively reviewed and outcomes analyzed. Kaplan-Meier analysis was used to estimate long-term survival and the risk of stroke for both groups. Cox proportional hazards analysis was used to assess the relative risk of all-cause mortality and long-term stroke for patients in the presence of selected comorbidities, including preoperative symptoms, coronary artery disease, chronic renal failure, atrial fibrillation (AF), hypertension, diabetes mellitus, and dyslipidemia. A P value <.05 was considered statistically significant.</p> <p><strong>Results: </strong> A total of 473 patients older than 80 years (298 men [63%]) underwent either CEA (n = 178) or CAS. At 30 days, one patient died in the CEA group of unrelated causes; no deaths were recorded after CAS (0.6% vs 0%; P = .18). At 5 years, survival was 67.6% ± 4.9% after CEA and 90.2% ± 2.3% after CAS (P < .0001). The main cause of death after CEA and CAS was a neoplasm. Estimated freedom from any stroke at 5 years was 97.3% ± 0.5% after CEA and 93.2% ± 1.2% after CAS (P = .07). The presence of preoperative AF significantly affected long-term mortality after CAS (hazard ratio [HR], 1.56; 95% confidence interval [CI], 1.34-1.98; P = .04) as well as being classified as American Society of Anesthesiologists class 3 at evaluation of the preoperative anesthesiology risk. The presence of preoperative AF was the only factor that significantly affected the occurrence of long-term stroke after both CAS (HR, 2.28; 95% CI, 1.86-5.63; P = .001) and CEA (HR, 3.45; 95% CI, 2.29-8.19; P = .005).</p> <p><strong>Conclusions: </strong> Both CEA and CAS showed low 30-day mortality and any-stroke rates in patients older than 80 years. In the long term, survival was significantly better after CAS; however, deaths after CEA and CAS were mainly unrelated to the procedure. No significant differences were recorded in the occurrence of any stroke in the long term. The presence of preoperative AF significantly affected long-term survival after CAS as well as being classified as American Society of Anesthesiologists class 3 at evaluation of the preoperative anesthesiology risk. The presence of preoperative AF also significantly affected long-term risk of stroke after both CAS and CEA.</p> <p> </p>
[old/mistake] Data used in the GRL paper titled "Climatology of Tropical Cyclone Seed Frequency and Survival Rate in Tropical Cyclones"
<p>Data used in the GRL paper titled "Climatology of Tropical Cyclone Seed Frequency and Survival Rate in Tropical Cyclones" by Ikehata and Satoh</p> <p>Please download and decompress the zip file. We describe details of this dataset in "readme.txt".</p>
Raw data of the publication: Does moderate hyperkalemia influence survival in HF? Insights from the MECKI score data (Int J Cardiol . 2023 Jan 15;371:273-277. doi: 10.1016/j.ijcard.2022.09.030. Epub 2022 Sep 15)
<p><strong>Background: </strong>The prognostic role of moderate hyperkalemia in reduced ejection fraction (HFrEF) patients is still controversial. Despite this, it affects the use of renin-angiotensin-aldosterone system inhibitors (RAASi) with therapy down-titration or discontinuation.</p> <p><strong>Objectives: </strong>Aim of the study was to assess the prognostic impact of moderate hyperkalemia in chronic HFrEF optimally treated patients.</p> <p><strong>Methods and results: </strong>We retrospectively analyzed MECKI (Metabolic Exercise test data combined with Cardiac and Kidney Indexes) database, with median follow-up of 4.2 [IQR 1.9-7.5] years. Data on K<sup>+</sup> levels were available in 7087 cases. Patients with K<sup>+</sup> plasma level ≥ 5.6 mEq/L and < 4 mEq/L were excluded. Remaining patients were categorized into normal >4 and < 5 mEq/L (n = 4826, 68%) and moderately high ≥5.0 and ≤ 5.5 mEq/L (n = 496, 7%) K<sup>+</sup>. Then patients were matched by propensity score in 484 couplets of patients. MECKI score value was 7% [IQR 3.1-14.1%] and 7.3% [IQR 3.4-15%] (p = 0.678) in patients with normal and moderately high K<sup>+</sup> values while cardiovascular mortality events at two years follow-up were 41 (4.2%) and 33 (3.4%) (p = 0.333) in each group respectively.</p> <p><strong>Conclusions: </strong>Moderate hyperkalemia does not influence patients' outcome in a large cohort of ambulatory HFrEF patients.</p>
Data and R code from: Survival analysis of wildlife cameras exposed to theft
<p>Data set an R code used to reproduce the analysis presented in Cardona et al. "Survival analysis of wildlife cameras exposed to theft".</p>
Data and codes for "Enhancing reef restoration effectiveness: Supplying microbial photosymbionts during coral larval settlement increases post-settlement survival"
<p>This dataset contains data, codes, and photographs underlying the coral recruit survival monitoring, amplicon sequencing, and statistical analysis of the research article "Enhancing reef restoration effectiveness: Supplying microbial photosymbionts during coral larval settlement increases post-settlement survival”. Sequencing data are deposited on NCBI under BioProject ID PRJNA609820.</p>
qPCR raw data - Effect of pressure and temperature on survivability and proliferation of microorganisms in bentonite
<p>Quantitative PCR (qPCR) raw data includes numeric source data that corresponds to the figure 2 (pressure experiment) and figure 6 (temperature experiment) in the research article “Effect of pressure and temperature on survivability and proliferation of microorganisms in bentonite”. The data demonstrates the relative quantification calculation of microbial abundance in the pressurized (10, 12 and 15 MPa)/heated ( 60, 70, 80, 90°C) samples and their respective non-template controls (con) based on total microbial biomass detection using universal primers U16SRT-F (5′-ACTCCTACGGGAGGCAGCAGT-3′) and U16SRT-R (5′ ATTACCGCGGCTGCTGGC-3′) to target all bacteria encoding the V3 region of the 16S rRNA gene. The magnitude of the relative difference in microbial abundance was calculated using the ΔΔCq calculation method, using the formula RQ = PCR effectivity <sup>(-ΔCq)</sup>. The PCR effectivity of the marker used was estimated beforehand as the mean slope of the Cq curves constructed by serial dilution of DNA templates from five internal environmental standards. The resulting Cq values were normalized by the sample weight used for DNA extraction prior to calculation. Using the ΔΔCq calculation method, we then related the Cq value of each sample to the mean Cq value of zero-point samples for each treatment. Each sample was run in duplicate, with the resulting differences between duplicate Cq values always below 0.5 (values of 0.5 represent a maximum 1.5-fold change in relative quantity in the duplicate sample). Mean values of duplicate samples, together with their standard deviation, are shown for each sample type and sampling time for data visualization. The raw data also includes values for additional control samples and primer efficiency calculation.</p>
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