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opencc-by-4.0May 2020View details →

Constraining properties of the next nearby core-collapse supernova with multi-messenger signals: multi-messenger signals

1D FLASH simulations with STIR, for alpha_lambda = 1.23, 1.25, and 1.27.  Run with SFHo EOS, M1 with 12 energy groups. For more information on these simulations, see Warren, Couch, O'Connor, & Morozova (arXiv:1912.03328) and Couch, Warren, & O'Connor (2020). Includes the multi-messenger data from the STIR simulations.  The filename indicates the turbulent mixing parameter a and progenitor mass m of the simulation.  Columns are time [s], shock radius [cm], explosion energy [ergs], electron neutrino mean energy [MeV], electron neutrino rms energy [MeV], electron neutrino luminosity [10^51 ergs/s], electron antineutrino mean energy [MeV], electron antineutrino rms energy [MeV], electron antineutrino luminosity [10^51 ergs/s], x neutrino mean energy [MeV], x neutrino rms energy [MeV], x neutrino luminosity [10^51 ergs/s], gravitational wave frequency from eigenmode analysis of the protoneutron star structure [Hz].  Note that the x neutrino luminosity is for one neutrino flavor - to get the total mu/tau neutrino and antineutrino luminosities requires multiplying this number by 4. v1.1 - removed unnecessary duplicate files v1.2 - upload failed.  Obsolete. v1.3 - packaging alpha values as separate tar files for easy download.

opencc-by-4.0Aug 2024View details →

Coping with Collapse: Functional Robustness of Coral-Reef Fish Network to Simulated Cascade Extinction

Data set, codes and results related to the article "Coping with Collapse: Functional Robustness of Coral-Reef Fish Network to Simulated Cascade Extinction", accepted in the periodic Global Change Biology. Stored are the full results of site occupancy models fitted to fish data, with coral and turf algae cover as predictor variables (results published in Luza et al. 2022, Scientific Reports), and the results of the present article. The RData also contains site coordinates, and the fish traits used in trait-based analyzes.

opencc-by-4.0Sep 2024View details →

Stellar Mass Black Hole Formation and Multimessenger Signals from Three-dimensional Rotating Core-collapse Supernova Simulations

Gravitational waveforms from <a href="https://ui.adsabs.harvard.edu/abs/2021ApJ...914..140P/abstract">Pan et al. (2021) .</a> They are the 40 solar mass model from Woosley & Heger 2007 with different initial rotational speeds: Model NR: Omega_0 = 0.0 rad/sec Model SR: Omega_0 = 0.5 rad/sec Model FR: Omega_0 = 1.0 rad/sec /* File content */ They are 5 files for each simulation. Files "data_s40_[model]_d3_[Cross/Plus][Equator/Pole].d" are GW strains for different mode of polarization [h_plus or h_cross] and viewing angles [equator or pole]. 1st column is time [s] in postbounce.  2nd column s the GW strain, assuming d=10 kpc.   Files "data_s40_[model]_d3_Idotdot.d" are the second time derivative of the quadruple moments. 1st: postbounce time [s]  2nd: Idd_xx [cgs] 3rd: Idd_xy = Idd_yx [cgs] 4th: Idd_yy = Idd_yy [cgs] 5th: Idd_zx = Idd_zx [cgs] 6th: Idd_zy = Idd_zy [cgs] 7th: Idd_zz = Idd_zz [cgs]

opencc-by-4.0Oct 2024View details →

MEFI Framework for the Big Bang as a Supermassive Collapse

This paper presents a fully balanced mathematical formulation of the Modified Einstein Field Interaction (MEFI) framework, which models the Big Bang as a supermassive collapse rather than a singular explosive event. The MEFI framework introduces four primary forces—repulsive forces, compressive dark fields, magneto electric fields, and quantum fluctuations (Delta Q)—to explain cosmic evolution. By balancing these forces, we derive a stable equation that governs both the collapse and expansion of the universe. The final force equation incorporates frequency resonance to regulate fluctuations, ensuring a harmonious interplay between these forces throughout cosmic evolution.

opencc-by-4.0Nov 2024View details →

Stellar Evolution Models from "Finding the Fuse: Prospects for the Detection and Characterization of Hydrogen-Rich Core-Collapse 5 Supernova Precursor Emission with the LSST"

These data consist of all runs from the Modules for Experiments in Stellar Astrophysics (MESA; Paxton et al. 2011, 2013, 2015, 2018, 2019) code, used to construct radius priors for modeling supernova precursor emission in <a href="https://arxiv.org/abs/2408.13314">Finding the Fuse: Prospects for the Detection and Characterization of Hydrogen-Rich Core-Collapse 5 Supernova Precursor Emission with the LSST</a> (Gagliano+2024, submitted).  The contents of the data files are detailed in the file ReadmeMESA.txt. Additional detail concerning the simulations can be found in Section 2.2 of the linked publication.

opencc-by-4.0Oct 2021View details →

Emission line models for the lowest mass core-collapse supernovae - I. Case study of a 9 M⊙ one-dimensional neutrino-driven explosion

Model spectra of the 9 Msun iron-core model, and the pure H toy model, 200-600d. Distance 10 Mpc assumed.

opencc-by-4.0Mar 2023View details →

Data from: Is a community state reachable, and why?, and Coexistence and collapse: an experimental investigation of the persistent communities of a protist species pool

Deterministic models have difficulties to take into account stochasticity during community assembly. As a tool to circumvent this problem, we present a qualitative discreteevent model, where consequences of interspecific interactions are described as rules. This model provides a map of all possible future dynamics for a given system, which allows to exhaustively describe the possible pathways during an assembly process. Such a description does not rely on species traits details and is insensitive to stochastic effects. This allows to show that subsets of species are sometimes impossible to reach starting from larger sets of species, and therefore to question the reachability of community states during the system’s dynamics. Applying the model to an experimental dataset studying the collapse of protist communities, we obtain a very good theory-experiment agreement. We finally discuss what the notion of reachability can bring to community assembly.

opencc-by-4.0Jun 2023View details →

Core-Collapse Supernova

Collection of certified trajectories, covering a wide range of core-collapse supernova nucleosynthesis conditions. Every trajectory comes with the selected initial abundances and other key information, such as the reference of the publication, the stellar region from where it was extracted, the mass of the progenitor star and its metallicity.

Raw D and 18O isotope data for a core from the center and moat of the BBC collapse scar: Bonanza Creek Experimental Forest Flood Plains

This data set contains D and 18O data for a core from the center and moat (0 and 6 m) of the BBC collapse scar. Two well-preserved cores from the center of the bog was collected in March 2003 with a gasoline-powered permafrost corer. Cores were stored frozen and sampled using a radial saw. The core was sampled every two cm for macrofossil, diatom analysis and chemistry. Oxygen isotope ratios in aquatic cellulose has been shown to be a reliable tracer of lakewater isotope ratios (Sauer et al., 2001). I predicted that ?D and ?18O signatures in Sphagnum leaves would respond to enrichment and depletion in the bog water over time, providing an independent line of evidence for diatom-inferred hydrologic change. All isotope samples were processed by the Alaska Stable Isotope Facility using a Thermo Finnigan TC EA and Deltaplus XL mass spectrometer (Thermo Electron Corporation, Bremen, Germany) in continuous flow mode. Data were reported relative to standard mean ocean water (SMOW). Instrument precision was 1.2 ? SE for ?D and 0.3 ? SE for ?18O. I separated Sphagnum leaves from the bog and moat cores, and ran whole organic matter samples for ?D and ?18O stable isotopes. To determine the correlation between ?D and ?18O stable isotopes in peat leaves and bog water, I analyzed samples of Sphagnum and adjacent surface water. I collected surface water samples without headspace and refrigerated at 4 ?C until sample analysis. Snow samples were kept frozen until analysis. I refrigerated surface sample Sphagnum leaves from branches directly below the capitulum after harvest until analysis for ?D and ?18O stable isotopes. I identified Sphagnum samples to species. This data set was collected to relate ?D and ?18O to fires, changes in succession, changes in hydrology, and diatom assemblages.

Growing Season D and 18O isotope data for a core from the center and moat of the BBC collapse scar: Bonanza Creek Experimental Forest Flood Plains

Average D and 18O isotope data for a core from the center and moat of the BBC collapse scar: Bonanza Creek Experimental Forest Flood Plains

Ground cover and biomass projection photos for the BBC collapse scar

We used digital photographs to project the biomass over the growing season. This data set contains ground cover photos of plots from the center of the BBC collapse scar (0m) into the surrounding fire scar (30m) of the Survey Line Fire (burned in June-July 2001) for the growing seasons of 2003 and 2004. Also included are ground cover photos of plots along the biomass transect used to create the projected biomass data. We calculated the percent cover of vegetation for the biomass and intensively monitored transects from digital photographs. Photographs were rectified to 10,000 x 10,000 pixels and a 20 x 20 grid was applied to the photograph. The percentage of each plant type was estimated in each grid cell. The percent cover was regressed against the measured dry biomass to project biomass for the intensively measured transect. We did not project moss biomass and instead assumed it to be the same for both transects. We projected the change in biomass over the growing season from the change in greenness determined from digital photographs. We chose five dates throughout the growing season with pictures of equal color saturation, focus and aspect. From these we estimated the percent photosynthetic biomass by selecting areas of green on the photograph and calculating the percentage of the total pixels made up by these areas. We estimated curves for the change in % green vegetation for 0, 6 m and the mean of the remaining distances along the transect (12, 18, 24, and 30 m), as these regions of the transect exhibited different patterns of greenness across the growing season of 2004. To estimate photosynthetic biomass over the growing season, we corrected the biomass estimates for the study transect to account for the change in green vegetation associated with growth and senescence

CO2, CH4, and H2O flux data and associated environmental variables for the BBC collapse scar for 2004

This data set contains flux measurements for the transect from the center of the BBC collapse scar (0m) into the surrounding fire scar (30m) of the Survey Line Fire (burned in June-July 2001). We measured CO2, H2O and CH4 fluxes every one to two weeks throughout the growing season of 2004. We measured fluxes at permanent plots established from the center of the bog into the surrounding burn at 0, 6, 12, 18, 24, and 30 m on the east and west side of the transect. Flux measurements on either side of the transect were treated as replicates. CO2 and H2O fluxes were measured using a Li-840 infrared gas analyzer (Licor Inc., Lincoln, NB, USA). The IRGA was calibrated before each trip to the field using a span of 400 ppm and a zero of N2 gas. We logged data every 0.5 seconds for 2 min. To account for measurement variability, we conducted two measurements in succession at each location, after flushing the chamber for accumulated CO2 and H2O. For the flux measurements, we built plexiglass chambers with pipe insulation bases with dimensions of 61 x 61 x 30.5 cm, 61 x 61 x 61 cm, or 61 x 61 x 122 cm. The shorter chambers were used in the collapse portion of the transect. Chambers included fans for air circulation, inlet and outlet ports for CO2 measurements, or just outlet ports for CH4 measurements (Carroll and Crill 1997). We placed chambers directly on the soil surface and used pipe insulation and plastic sheeting to make a solid seal during the measurement. To estimate the volume for each chamber measurement, we measured the distance to the soil surface from a 6 cm grid suspended 30 cm above each plot, the surface area was then used to calculate the chamber volume for each measurement. Dark measurements were used to determine CO2 derived from soil and root respiration (ecosystem respiration) using a two-layer cloth shroud with a reflective surface to exclude solar radiation. To estimate net ecosystem exchange (NEE) of CO2, we conducted chamber measurements of plant and soi

Meteorological data for the BBC collapse scar for 2003 and 2004

This data set contains meteorological measurements for a destructively harvested transect 30 m to the east of the permanent transect from the center of the BBC collapse scar (0 m) into the surrounding fire scar (30 m) of the Survey Line Fire (burned in June-July 2001). At the beginning of the 2003 growing season, we installed several meteorological instruments. We measured temperatures using copper-constantan theromocouples (Omega Engineering Inc., Stamford, CT, USA) at 5, 10 20, and 50 cm depth on the east and west side of the boardwalk at 0, 10 (west side only) 20, and 30 m distance along the transect. We measured air temperature using PVC radiation shields at 30, 60, 120, and 240 cm height above the ground surface. We measured soil moisture using EC-20 ECH2O dielectric aquameter probes (Decagon Devices Inc., Pullman, WA, USA) at 16 points along the transect at 30, 28, 26, 24, 18, 16, 14, and 12 m on the east and west side of the boardwalk at 10 cm depth. To measure rain, we installed a TE 525MM tipping bucket rain gauge (Texas Electronics Inc., Dallas, TX, USA) at 2m on the tower. To measure water level, we installed a Druck21 PDCR 1830-8388 submersible pressure transducer (5 psi range, Druck Inc., New Fairfield, CT, USA) inserted 60 cm below the soil surface, down an 11 cm interior diameter PVC well at 30m along the transect. We measured photosynthetically active radiation with Apogee quantum sensors (Apogee Instruments Inc., Logan, UT, USA) at 30, 60, 120, and 240 cm above the soil surface. To monitor changes in thaw depth, we probed the soil at each visit (every one to two weeks throughout the growing season), every 3 m along both the east and west sides of the transect.

Soil data for cores from a transect from the center of the BBC collapse scar into the surrounding burn

This data set contains soil data for cores from a transect from the center of the BBC collapse scar (0 m) into the surrounding burn (30 m). Thirty-five cores were collected soil cores along the transect in March 2003. We drilled cores using a gasoline powered, permafrost corer while soils were frozen. Two to four cores were drilled every 3 m along the transect, yielding a total of 35 cores. We stored cores frozen and cut sample sections using a radial saw. Cores were sampled at the interfaces between different soil layers. We classified soils using the Canadian Soil Classification system (Soil Classification Working Group 1998) identifying fibric, mesic, and humic organic horizions and the A and C mineral horizons. Nine cores were sampled only to the mineral boundary. We measured bulk density, %C and %N for all soil samples. The pH of sample was determined using litmus paper. We oven-dried at 50 - 65 degC and ground all samples before analysis. We analyzed samples for %C and %N using a Carlo Erba EA1108 CHNS analyzer (CE Instruments, Milan, Italy) and a COSTECH ECS 4010 CHNS-O analyzer (Costech Analytical Technologies Inc., Valencia, CA,USA). Sample standard errors were +/- 0.01% for nitrogen, +/- 0.45% for carbon. To indicate fire events in the surrounding ecosystem, charcoal layers in the cores were quantified. We estimated charcoal by emptying dried samples of a known volume and depth (on mean 4.5 cm3) over a 10 cm x 10 cm grid and counting macroscopic charcoal fragments (greater than 0.05 mm in diameter) in each cm grid cell.

Tree ring width data for trees adjacent to the BBC collapse scar

This data set contains ring width data for trees adjacent to the BBC collapse scar. We used dendrochronology to link paleoecological data with modern observations of the response of this system to fire. Tree ring analysis provides a record of the response of the black spruce trees to changing climate and ongoing thermokarst, allowing for speculation about the response of this landscape to future climate change. We harvested twenty-one fire-killed tree cross-sections from the margin of the collapse and in the surrounding burn in the growing season of 2004. We measured ring width (sliding stage, Velmex Inc., Bloomfield, NY, USA, resolution: 0.001mm) for two radial transects of the tree cross-sections. To remove the age-related variation in growth rate, we crossdated trees with Cofecha and standardized ring-widths with the program ARSTAN (Richard Holmes, Laboratory of Tree Ring Research, University of Arizona). We recorded the presence of compression-wood for each tree ring, an indicator of leaning which is interpreted to be related to frost-heaving and permafrost collapse (Camill and Clark, 1998). This data set includes temperature and precipitation data from a composite of climate data from the University Experiment Station (1906-1947) and Fairbanks International Airport (1948-2000) (Wilmking et al., 2004).

Active Layer Depth Data for the BBC collapse scar for 2003 and 2004

This data set contains active layer depth measurements (cm) for a transect from the center of the BBC collapse scar (0 m) into the surrounding fire scar (30 m) of the Survey Line Fire (burned in June-July 2001). Data were collected using a 120m (and during 2004 a 205.5 m) permafrost probe at every visit to the site in 2003 and 2004. Three permafrost depth measurements were made within a 25cm radius at every point along the transect (0, 3, 6, 9, 12, 15, 18, 21, 24, 27, and 30 m on the east and west sides of the boardwalk and at 33 m on the west side only). This data set was collected to monitor the increase in active layer throughout the growing season to relate this to measured fluxes of CO2 and CH4 emissions from soils along the same transect. The data set was also used to monitor permafrost collapse at the margins of the BBC collapse scar.