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MCMLpar: A parallel version of the MCML code in C++
C++ code for Monte Carlo calculation of optical scattering in multi-layer material. Described in RH Streater, A-MR Lieberson, AL Pintar. and ZH Levine, "A parallel version of MCML and an Inverse Monte Carlo Algorithm to Calculate Optical Scattering Parameters," J. Res. NIST, https://doi.org/10.6028/jresnist.122.038. See also the main article RH Streater, A-MR Lieberson, AL Pintar, CC Cooksey, and P Lemaillet, unpublished.
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Optical scattering measurements and simulation data for one-dimensional (1-D) patterned periodic sub-wavelength features
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This data set consists of both measured and simulated optical intensities scattered off periodic line arrays, with simulations based upon an average geometric model for these lines. These data were generated in order to determine the average feature sizes based on optical scattering, which is an inverse problem for which solutions to the forward problem are calculated using electromagnetic simulations after a parameterization of the feature geometry. Here, the array of features measured and modeled is periodic in one-dimension (i.e., a line grating) with a nominal line width of 100 nm placed at 300 nm intervals, or pitch = 300 nm; the short-hand label for the features is "L100P300." The entirety of the modeled data is included, over two thousand simulations that are indexed using a top, middle, and bottom linewidth as floating parameters. Two subsets of these data, featuring differing sampling strategies, are also provided. This data set also contains angle-resolved optical measurements with uncertainties for nine arrays which differ in their dimensions due to lithographic variations using a focus/exposure matrix, as identified in a previous publication (https://doi.org/10.1117/12.777131). We have previously reported line widths determined from these measurements based upon non-linear regression to compare theory to experiment. Machine learning approaches are to be fostered for solving such inverse problems. Data are formatted for direct use in "Model-Based Optical Metrology in R: MoR" software which is also available from data.nist.gov. (https://doi.org/10.18434/T4/1426859). Note: Certain commercial materials are identified in this dataset in order to specify the experimental procedure adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the materials are necessarily the best available for the purpose.
pySCATMECH: A Python interface to the SCATMECH C++ library of polarized light scattering codes
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SCATMECH is a library of object-oriented C++ computer codes originally developed for disseminating models for polarized light scattering from surfaces and aerosols and for diffraction from gratings. The pySCATMECH package has been developed as an interface to the SCATMECH library, simplifying use of the codes and allowing for more rapid development of software for these applications.
Data underlying Optics Letters "Single-modulator, direct frequency comb spectroscopy via serrodyne modulation" DOI: 10.1364/OL.482597
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This is the data underlying Optics Letters publication "Single-modulator, direct frequency comb spectroscopy via serrodyne modulation"
MGN V RADAR SYSTEM DERIVED MIDR COMPRESSED ONCE V1.0
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This data set contains the Magellan Compressed Once Mosaic Image Data Records (C1-MIDRs) which consists of mosaics generated from compressed basic image data records (C-BIDRs). C-BIDRs have been generated by computing 3x3 pixel arithmetic moving averages from the F-BIDRs. Each C1-MIDR is in a sinusoidal equal area projection and has an origin at 0 degrees latitude, with the central meridian defined as the longitude bisecting the mosaic. Each C1-MIDR has 7K lines (aligned with latitudes) and 8K samples, arranged as 56 1K x 1K files on the CD-ROMs. C1-MIDRs, with their 225m pixel widths, are designed to cover the planet at reasonably high resolution and high signal to noise ratio.
Multi-Satellite Lambertian Equivalent Reflectivity (Noon Normalized) 10-Day L3 Global 2.0x5.0deg Lat/Lon Grid V1 (MSLERNNL3d10) at GES DISC
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The Multi-Satellite Lambertian Equivalent Reflectivity (Noon Normalized) 10-Day L3 Global 2.0x5.0deg Lat/Lon Grid data product is derived from multi-satellite Solar Backscatter UltraViolet (SBUV) observations made by the Nimbus-7 SBUV, and NOAA 9, 11, 14, 16, 17, 18 SBUV/2 instruments at 340 nm. The Noon Normalized (NN) data have been corrected to local noon equator crossing time. The NN correction was applied only to data between latitudes 60 degrees north and 60 degrees south due to insufficient diurnal data at higher latitudes. The table below lists the date ranges for each instrument (note A = ascending node, D = descending node): Instrument Start Date End Date ------------------ ---------- ---------- Nimbus-7 SBUV 1978-11-01 1990-06-21 NOAA-9 SBUV/2 (A) 1985-02-02 1991-09-03 NOAA-9 SBUV/2 (D) 1990-04-25 1997-05-31 NOAA-11 SBUV/2 (A) 1988-12-01 1995-03-31 NOAA-11 SBUV/2 (D) 1997-07-15 2001-03-26 NOAA-14 SBUV/2 (A) 1995-02-05 2002-09-11 NOAA-14 SBUV/2 (D) 2002-04-09 2006-09-28 NOAA-16 SBUV/2 (A) 2000-10-03 2009-09-15 NOAA-16 SBUV/2 (D) 2008-04-28 2012-12-31 NOAA-17 SBUV/2 2002-07-10 2012-12-31 NOAA-18 SBUV/2 2005-06-05 2012-12-12 The scene reflectivities of the Earth at blue and ultraviolet (UV) wavelengths (320 nm to 415 nm) are low over most surfaces (except ice and snow), and are almost independent of the seasonal changes in vegetation on land and in the oceans. This makes it ideal for examining changes in radiation reflected back to space from changes in cloud and aerosol amounts, especially as affected by the start of climate change. The MSLERNNL3d10 data are archived in the HDF-EOS5 file format using the Grid model. The product consists of a single data file representing the entire data set containing the noon-normalized reflectivites in a single latitude versus longitude versus time data field array or variable. The data array contains attributes describing the variable, and the file contains metadata stored in the HDFEOS file attribute section.
Multi-Satellite Lambertian Equivalent Reflectivity (Local Satellite Time) 10-Day L3 Global 2.0x5.0deg Lat/Lon Grid V1 (MSLERLSTL3d10) at GES DISC
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The Multi-Satellite Lambertian Equivalent Reflectivity (Local Satellite Time) 10-Day L3 Global 2.0x5.0deg Lat/Lon Grid data product is derived from multi-satellite Solar Backscatter UltraViolet (SBUV) observations made by the Nimbus-7 SBUV, and NOAA 9, 11, 14, 16, 17, 18 SBUV/2 instruments at 340 nm. The Local Satellite Time (LST) data are uncorrected for the drift of the local equator crossing time of the spacecraft. The table below lists the date ranges for each instrument (note A = ascending node, D = descending node): Instrument Start Date End Date ------------------ ---------- ---------- Nimbus-7 SBUV 1978-11-01 1990-06-21 NOAA-9 SBUV/2 (A) 1985-02-02 1991-09-03 NOAA-9 SBUV/2 (D) 1990-04-25 1997-05-31 NOAA-11 SBUV/2 (A) 1988-12-01 1995-03-31 NOAA-11 SBUV/2 (D) 1997-07-15 2001-03-26 NOAA-14 SBUV/2 (A) 1995-02-05 2002-09-11 NOAA-14 SBUV/2 (D) 2002-04-09 2006-09-28 NOAA-16 SBUV/2 (A) 2000-10-03 2009-09-15 NOAA-16 SBUV/2 (D) 2008-04-28 2012-12-31 NOAA-17 SBUV/2 2002-07-10 2012-12-31 NOAA-18 SBUV/2 2005-06-05 2012-12-12 The scene reflectivities of the Earth at blue and ultraviolet (UV) wavelengths (320 nm to 415 nm) are low over most surfaces (except ice and snow), and are almost independent of the seasonal changes in vegetation on land and in the oceans. This makes it ideal for examining changes in radiation reflected back to space from changes in cloud and aerosol amounts, especially as affected by the start of climate change. The MSLERLSTL3d10 data are archived in the HDF-EOS5 file format using the Grid model. The product consists of a single data file representing the entire data set containing the reflectivity data in a single time versus latitude versus longitude data field array or variable. The data array contains attributes describing the variable, and the file contains metadata stored in the HDFEOS file attribute section.
MISR L2 Geometric Parameters subset for the C-MARE Region V002
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MISR Geometric Parameters containing the geometric parameters which measure the sun and view angles at the reference ellipsoid for the CMARE_2004 theme
Code and data for "Analysis of complex multidimensional optical spectra by linear prediction"
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Python code for analyzing optical 2D spectroscopy data using linear prediction from singular value decomposition. Included as supplemental information with a publication on this topic. Includes scripts and associated data to generate the figures in the paper.
MODIS/Terra Surface Reflectance 8-Day L3 Global 250m SIN Grid V061
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The MOD09Q1 Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 and 2, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Provided along with the 250 meter (m) surface reflectance bands are two quality layers. For each pixel, a value is selected from all the acquisitions within the 8-day composite period. The criteria for the pixel choice include cloud and solar zenith. When several acquisitions meet the criteria the pixel with the minimum channel 3 (blue) value is used. Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Surface Reflectance products. Further details regarding MODIS land product validation for the MOD09 data product is available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD09). Improvements/Changes from Previous Versions * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).
MODIS/Terra Surface Reflectance Daily L2G Global 250m SIN Grid V061
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The MOD09GQ Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter (m) bands 1 and 2, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the 250 m surface reflectance bands are the Quality Assurance (QA) layer and five observation layers. This product is intended to be used in conjunction with the quality and viewing geometry information of the 500 m product (MOD09GA). Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Surface Reflectance products. Further details regarding MODIS land product validation for the MOD09 data product is available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD09). Improvements/Changes from Previous Versions * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).