Due to the multi-path propagation and extreme sensitivity to minor changes in the propagation medium, the coda waves open new fascinating possibilities in non-destructive evaluation and acoustic imaging. However, their noise-like structure and high spurious sensitivity for ambient conditions (temperature, humidity, and others) make it challenging to perform localized inspection in the overall coda wave evolution.

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We have developed this dataset for the Bangla image caption. Here, we have recorded  500 images with one caption of each. Basically the lifestyle, festivals are mainly focused in this dataset. We have accomplished rice/harvest festivals, snake charming, palanquin, merry-go-round, slum, blacksmith, potter, fisherman, tat shilpo, jamdani, shutki chash, date juice, hal chash, tokai, pohela falgun, gaye holud, etc.

   

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This is data  and code for the  Junction link in the roundabout.

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The files here support the analysis presented in the paper in IEEE Transactions on Geoscience and Remote Sensing, "Snow Property Inversion from Remote Sensing (SPIReS): A Generalized Multispectral Unmixing Approach with Examples from MODIS and Landsat 8 OLI" Spectral mixture analysis has a history in mapping snow, especially where mixed pixels prevail. Using multiple spectral bands rather than band ratios or band indices, retrievals of snow properties that affect its albedo lead to more accurate estimates than widely used age-based models of albedo evolution.

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These HDF5 files contain snow cover over the Sierra Nevada USA from water year 2001-2019 using the Snow Property Inversion from Remote Sensing (SPIRES) approach. Each file covers one water year (October through September). They are stored with block compression so individual days can be read without reading the whole file. The method is described by E.H. Bair, T. Stillinger, and J. Dozier, "Snow Property Inversion from Remote Sensing (SPIReS): A generalized multispectral unmixing approach with examples from MODIS and Landsat 8 OLI," IEEE Trans. Geosci. Remote Sens., 2020 (manuscript number TGRS-2020-02003). Source code is at https://github.com/edwardbair/SPIRES The projection is the Albers equaconic (also called the California Teale projection) with WGS84 datum and 500 m square pixels. The standard meridian for the projection is 120 W; the standard parallels are 34 N and 40.5 N; False Northing is -40,000,000. The h5 files can be read with several software packages. We use MATLAB. They contain: MATLAB date numbers, ISO dates in format YYYYDDD, geographic information, spacetime cubes of snow fraction, raw (unadjusted) snow fraction, grain size (um), and dust (ppmw). The spacetime cubes have a slice for each day, begin on October 1 and end on September 30.

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