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1. Second generation of Ames-296K IR line list for "natural" Nitrous Oxide (N2O), denoted ABG-IMRHT, which was computed from Ames-B1b PES refinement (using Benjamin Schröder's ab initio PES, doi:10.1515/zpch-2015-0622) and 2023 dmsG-10K accurately fitted from CCSD(T)/aug-cc-pV(T,Q,5)Z dipoles. In this major upgrade to Ames-296K N2O line list (10.1080/00268976.2023.2232892 and 10.5281/zenodo.7888194), rovibrational energy levels computed from NOSL-296 EH model were adopted to match and replace ~100,000 14N216O levels. More consistent empirical corrections are determined for multiple isotopologues from comparison with RITZ (IAO), MARVEL (ExoMol), HITRAN, and JPL datasets. The ABG-IMRHT line list provides the most reliable and consistent IR intensity predictions and accurate line positions in the range of 0 - 10,000 cm-1. All 12 stable isotopologues are included. 2. Ames-2000K IR line list provides complete, reliable and consistent IR predictions in the 0 - 15,000 cm-1 range. It includes transitions of 12 isotopologues. Their intensities are scaled by corresponding terrestrial "natural" abundances. Ames-2000K is a composite list, including 4 component lists, to achieve better accuracy and reliability needs at both shorter and longer wavelengths: #1. a hot line list of 14N216O, computed on Ames-1 PES and 2023 dmsG-wgt2d, J' 10-34 cm/molecule, size-reduction with 99.9% intensity conservation in cm-1 bins. #3. a hot line list of 14N216O, computed on Ames-B1b PES and 2023 dmsG-10Kcm-1, J'<150, E'<16,000 cm-1, T=1000 / 1500 / 2000 / 3000 K. #4. ABG-IMRHT IR line list at 296 K, J'<150, E'<16,000 cm-1, with best empirical line positions and highly consistent intensity predictions up to 10,000 cm-1. Coverage beyond 10,000 cm-1 is limited to strong lines. 3. List of files: (decompress .xz files first, "xz -dkf -T0 file.xz") IAO_N2O_levels.tar.xz: rovibrational energy levels of 6 N2O isotopologues, as computed using global Effective Hamiltonian (EH) models (by Dr. Sergey Tashkun, IAO). N2O.Ames-B1b.PES.and.Ames-2023.DMS.zip: Ames-B1b PES subroutine & coefficient file, see the note in n2opes2.f90; Ames 2023 dmsG subroutine and coefficients for fits up to 10K/12K/15K/17K/20K/25K cm-1, along with fitting residuals and compared to Ames-1 style (dmsC) coeffs and residuals. The geometry set has ~80 points in each 100 cm-1. n2olist.f90.v1.2: the main Fortran program for Ames-2000K generation, customizable, see the note at its beginning. n2o.partition.1-4000K.iso.1-12.scaled: partition sum for 12 isotopologues, input file required by n2olist.f90, excluding g_nn2o.partition.1-4000K.iso.1-12.scaled.with.degeneracy.txt: same as above, g_n included, see the note inside list.of.n2o.xz.files : list of .xz files to read/regenerate from, under subdir "xz", input file required by n2olist.f90ames.n2o.xx000-yy000.cm-1.xz: compressed data files for Ames-2000K (line list component #1+#2) n2o.iso1-12.levels.Ames-1.dat.xz: energy levels of 12 N2O isotopologues on Ames-1 PES, input file required by n2olist.f90 n2o.446.B1b-PES.levels.xz: energy levels of 14N216O computed on Ames-B1b PES, input file to n2olist.f90 n2o.446.B1b-dmsG10K.1000K-3000K.Eup16K.0-10Kcm-1.compressed.xz: data file for 14N216O hot list on Ames-B1b and dms 2023-G10K (component #3), input file required by n2olist.f90n2o.446.B1b-dmsG10K.1000K-3000K.Eup16K.0-10Kcm-1.dat.xz: independent line list (component #3) n2o.iso1-12.levels.ABG-IMRHT.dat.xz: energy levels in ABG-IMRHT list, with empirical corrections included, input file required by n2olist.f90 n2o.296K.ABG-IMRHT.20240630.dat.xz: Latest Ames-296K line list with empirical energy level corrections (component #4), input file for n2olist.f90n2o.296K.ABG-IMRHT.20240630.dat.with.broadening.xz: same as above, in HITRAN format, including line-broadening parameters ames.n2o.intensity.xz: line count and intensity sum (original, selected, iso #1 and iso #2-12) in each 0.01 cm-1 bins at 296 K, 1000 K, 1500 K, 2000 K, and 3000 K, for reference and statistics, optional input file to n2olist.f90 ames.n2o.sint.reductions.xz: A check-point file during Ames-2000K file generation, for reference only. including # of lines (total & selected), intensity sum (total, iso #1, iso #2-12), and intensity retention ratio in each 0.01 cm-1 bins for total, iso #1, and iso #2-12. 4. List of 12 isotopologues, abundances adopted, and number of lines in ABG-IMRHT and Ames-2000K line list, # ISO abundance # lines in ABG-IMRHT # lines in Ames-2000K 1 446 0.990333 938331 3036959442 2 456 3.64093E-3 249625 97778612 3 546 3.64093E-3 272042 118317988 4 448 1.98582E-3 249777 87989897 5 447 3.69280E-4 155967 39876689 6 556 1.33858E-5 59685 7122846 7 458 7.30080E-6 59675 5160884 8 548 7.30080E-6 54824 4584544 9 457 1.35765E-6 33252 2231685 10 547 1.35765E-6 30486 1934750 11 558 2.68412E-8 9132 281373 12 557 4.99134E-9 4432 120804 Total 1.00000069 2117228 3402359514 5. This project is funded by NASA Grant 18-APRA18-0013 through NASA/SETI Institute Co-operative Agreement 80NSSC20K1358. Resources supporting this work were provided by the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center.

the data of the SSCE article . Please use matlab2021b to use the data and code.

This unique data product provides daily storm surge projections for various Japanese coasts from 2015 to 2100 in a probabilistic manner (i.e., five distinct percentiles). The projections are derived using statistical downscaling with Bayesian Quantile Regression, incorporating atmospheric covariates from ten advanced Global Climate Models. Additionally, data for a historical baseline period (1981-2014) are also included for reference. The regression models were previously developed using ERA5 re-analysis data and high-quality tide gauge observations. These storm surge data can be useful to both practitioners and researchers interested in future coastal flood risk assessments for Japan.

1H and 13C nuclear magnetic resonance spectra were recorded on a Bruker Avance III 400 or Magritek Spinsolve 60 spectrometer at 293 K. Chemical shifts are reported as δ in parts per million (ppm) and referenced to the chemical shift of the residual solvent resonances (CDCl3: 1H: δ = 7.26 ppm, 13C: δ = 77.16 ppm). Polymer molecular weight and dispersity were determined using a Malvern Viscotek GPCmax size exclusion chromatograph instrument fitted with a Viscotek TDA 305 detector unit equipped with refractive index and light scattering detectors. Samples were dissolved in tetrahydrofuran at a concentration of approximately 1 mg mL-1 and eluted through a guard column and two Agilent PLGel 5 µm mixed C columns (300 x 7.5 mm) at a flow rate of 1 ml.min-1; the elution pathlength was heated to 30 °C for the duration. Molecular weights were calibrated against known poly(methyl acrylate) standards. Differential scanning calorimetry was conducted using a TA Instruments Discovery 2500. Samples were analysed in non-hermetic aluminium pans and compared against an empty reference pan of the same type. Loaded sample masses were between 3 and 10 mg. Samples were subjected to two complete heat/cool cycles from -50 °C to 150 °C (-85 °C to 150 °C for lower Tg samples) and both heating and cooling rates were set at 10 °C min-1. UV/Vis transmittance and absorption spectra were measured with a PerkinElmer Lambda 750 spectrophotometer. Transmittance spectra of films were measured using wavelength scan with a resolution of 1 nm at a scan speed of 267 nm/min and a slit width of 2 nm. Samples were directly mounted to the sample holder. Solution spectroscopy was carried out on solutions in THF in quartz SUPRASIL® cuvettes (10 mm pathlength). Absorption spectra of luminophore solutions were taken using a wavelength scan with a resolution of 0.5 nm at a scan speed of 141.20 nm/min and a slit width of 2 nm. A reference sample of THF in an identical cuvette was used to apply a 100% transmission correction. Steady-state PL spectroscopy was performed on a Fluorolog-3 spectrophotometer (Horiba Jobin Yvon). Solid-state emission spectra were recorded using the front-face configuration. Solution emission spectra were recorded using the right-angle configuration, over 10 averaged scans. The excitation and emission slits were adjusted so that the maximum PL intensity was within the range of linear response of the detector and were kept the same between samples if direct comparison between the emission intensity was required. Emission and excitation spectra were corrected for the wavelength response of the system and the intensity of the lamp profile over the excitation range, respectively, using correction factors supplied by the manufacturer. Photoluminescence quantum yields (ΦPL) were measured using a Quanta-phi integrating sphere (Horiba Jobin Yvon) mounted on the Fluorolog-3 spectrophotometer. The UC emission and phosphorescence spectra, threshold intensity (I_th), UC quantum yield (UC) and lifetime measurements were performed using an FLS1000 time-correlated single photon counting (TCSPC) spectrometer (Edinburgh Instruments Ltd.). The samples were excited with a 532 nm laser (MGL-III-532, 200mW). To determine I_th, the laser power was adjusted using a Thorlabs PM100A Power Meter Console combined with a S120VC Si photodiode power sensor (range: 200-1100 nm) before the measurement, across the 5 to 8000 mW cm-2. The ΦUC was measured with an integrating sphere (SNS125 5-inch sphere, three windows, International Light Technologies). The sample was placed at the center of the sphere using a sample holder. A baffle is placed in front of the observation window, which blocks any scattering and reflection of the laser from the sample surface. The angle of the sample holder is adjustable. The normal direction of the sample holder is 22.5˚ to the excitation beam line, which leads the reflection of the laser to the inner surface of the sphere. The laser power was measured with a photodiode before each ΦUC measurement. Both the emission of the sample (380-500 nm) and scattering of the laser beam (530-534 nm) were measured. A neutral density filter (O.D.=3.0) was placed before the excitation beam for the scattering intensity measurements. Six data sets were collected to calculate the ΦUC of each sample: 1. sample in the path of the beam – “in fluorescence”; 2. sample in scattering; 3. sample facing away from beam – “out of fluorescence”, 4. sample out of scattering; 5. empty sphere fluorescence; 6. empty sphere scattering. Fluorescence decay measurements were performed using the multi-channel scaling (MCS) method on a the FLS1000 TCSPC spectrometer. The emission decay was recorded using a photomultiplier tube (PMT-980) equipped with TCC2 counting electronics. For the upconversion lifetime measurements, a wavelength of 440 nm was selected, and a short-pass filter (cut-off at 500 nm, Thorlabs) was placed in front of the detector. For the phosphorescence lifetimes, a wavelength of 660 nm was selected, and a long-pass filter (cut-off 550 nm, Thorlabs) was used. The instrument response function (IRF) was measured using Ludox® colloidal silica solution (a SiO2 particle suspension solution) and using a neutral density filter (O.D.=3) to attenuate the laser intensity. The pulse repetition rate was adjusted to ensure the full decay was detected within the time window. Data-fitting was carried out by tail fitting to each emission decay trace using a multiexponential decay function within the FAST software package (Edinburgh Instruments Ltd.). The goodness of fit was evaluated using the reduced chi-square statistics (χ2) and the randomness of the residuals. Please also see the readme file for more details on data collection and file organisation.