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Datasets:
Jay9115
/
Himalaya-data

Tasks:
Time Series Forecasting
Other
Modalities:
Geospatial
Tags:
climate
hydrology
himalaya
remote-sensing
geoscience
License:
Dataset card Data Studio Files
xet
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elevation_m
float32
geometry
unknown
71
[ 1, 1, 0, 0, 0, 175, 91, 122, 217, 198, 169, 82, 64, 139, 11, 65, 181, 181, 138, 66, 64 ]
2,013
[ 1, 1, 0, 0, 0, 153, 33, 139, 176, 158, 171, 82, 64, 139, 11, 65, 181, 181, 138, 66, 64 ]
1,377
[ 1, 1, 0, 0, 0, 131, 231, 155, 135, 118, 173, 82, 64, 139, 11, 65, 181, 181, 138, 66, 64 ]
1,289
[ 1, 1, 0, 0, 0, 197, 149, 105, 2, 239, 167, 82, 64, 253, 22, 57, 252, 4, 135, 66, 64 ]
4,195
[ 1, 1, 0, 0, 0, 175, 91, 122, 217, 198, 169, 82, 64, 253, 22, 57, 252, 4, 135, 66, 64 ]
4,734
[ 1, 1, 0, 0, 0, 153, 33, 139, 176, 158, 171, 82, 64, 253, 22, 57, 252, 4, 135, 66, 64 ]
3,763
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382
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1,031
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155
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1,046
[ 1, 1, 0, 0, 0, 7, 68, 55, 125, 103, 162, 82, 64, 111, 34, 49, 67, 84, 131, 66, 64 ]
2,732
[ 1, 1, 0, 0, 0, 241, 9, 72, 84, 63, 164, 82, 64, 111, 34, 49, 67, 84, 131, 66, 64 ]
3,837
[ 1, 1, 0, 0, 0, 219, 207, 88, 43, 23, 166, 82, 64, 111, 34, 49, 67, 84, 131, 66, 64 ]
4,589
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4,596
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4,431
[ 1, 1, 0, 0, 0, 153, 33, 139, 176, 158, 171, 82, 64, 111, 34, 49, 67, 84, 131, 66, 64 ]
4,912
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2,047
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1,636
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2,901
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4,940
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1,686
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27
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17
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8
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21
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991
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26
[ 1, 1, 0, 0, 0, 34, 70, 168, 248, 243, 202, 82, 64, 111, 34, 49, 67, 84, 131, 66, 64 ]
2,085
[ 1, 1, 0, 0, 0, 95, 44, 244, 32, 8, 155, 82, 64, 225, 45, 41, 138, 163, 127, 66, 64 ]
3,657
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1,050
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105
[ 1, 1, 0, 0, 0, 29, 126, 38, 166, 143, 160, 82, 64, 225, 45, 41, 138, 163, 127, 66, 64 ]
4,128
[ 1, 1, 0, 0, 0, 7, 68, 55, 125, 103, 162, 82, 64, 225, 45, 41, 138, 163, 127, 66, 64 ]
4,948
[ 1, 1, 0, 0, 0, 241, 9, 72, 84, 63, 164, 82, 64, 225, 45, 41, 138, 163, 127, 66, 64 ]
4,827
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5,067
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4,873
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4,434
[ 1, 1, 0, 0, 0, 153, 33, 139, 176, 158, 171, 82, 64, 225, 45, 41, 138, 163, 127, 66, 64 ]
4,832
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5,249
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4,952
[ 1, 1, 0, 0, 0, 86, 115, 189, 53, 38, 177, 82, 64, 225, 45, 41, 138, 163, 127, 66, 64 ]
4,694
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4,584
[ 1, 1, 0, 0, 0, 42, 255, 222, 227, 213, 180, 82, 64, 225, 45, 41, 138, 163, 127, 66, 64 ]
3,255
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28
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147
[ 1, 1, 0, 0, 0, 210, 22, 34, 64, 53, 188, 82, 64, 225, 45, 41, 138, 163, 127, 66, 64 ]
586
[ 1, 1, 0, 0, 0, 188, 220, 50, 23, 13, 190, 82, 64, 225, 45, 41, 138, 163, 127, 66, 64 ]
1,274
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4,099
[ 1, 1, 0, 0, 0, 144, 104, 84, 197, 188, 193, 82, 64, 225, 45, 41, 138, 163, 127, 66, 64 ]
3,550
[ 1, 1, 0, 0, 0, 122, 46, 101, 156, 148, 195, 82, 64, 225, 45, 41, 138, 163, 127, 66, 64 ]
3,589
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4,278
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5,052
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2,045
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246
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1,120
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1,806
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4,544
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4,960
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5,182
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2,799
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2,107
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5,192
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5,254
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5,287
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4,963
[ 1, 1, 0, 0, 0, 175, 91, 122, 217, 198, 169, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
4,957
[ 1, 1, 0, 0, 0, 153, 33, 139, 176, 158, 171, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
4,365
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5,116
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4,737
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4,417
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5,077
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4,812
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1,001
[ 1, 1, 0, 0, 0, 254, 138, 0, 146, 133, 184, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
681
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4,361
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4,897
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4,768
[ 1, 1, 0, 0, 0, 166, 162, 67, 238, 228, 191, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
4,603
[ 1, 1, 0, 0, 0, 144, 104, 84, 197, 188, 193, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
4,785
[ 1, 1, 0, 0, 0, 122, 46, 101, 156, 148, 195, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
5,317
[ 1, 1, 0, 0, 0, 100, 244, 117, 115, 108, 197, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
5,005
[ 1, 1, 0, 0, 0, 78, 186, 134, 74, 68, 199, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
4,848
[ 1, 1, 0, 0, 0, 56, 128, 151, 33, 28, 201, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
4,745
[ 1, 1, 0, 0, 0, 34, 70, 168, 248, 243, 202, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
3,366
[ 1, 1, 0, 0, 0, 12, 12, 185, 207, 203, 204, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
860
[ 1, 1, 0, 0, 0, 246, 209, 201, 166, 163, 206, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
1,452
[ 1, 1, 0, 0, 0, 223, 151, 218, 125, 123, 208, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
2,638
[ 1, 1, 0, 0, 0, 201, 93, 235, 84, 83, 210, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
1,622
[ 1, 1, 0, 0, 0, 179, 35, 252, 43, 43, 212, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
603
[ 1, 1, 0, 0, 0, 157, 233, 12, 3, 3, 214, 82, 64, 82, 57, 33, 209, 242, 123, 66, 64 ]
197
[ 1, 1, 0, 0, 0, 183, 20, 177, 196, 168, 147, 82, 64, 196, 68, 25, 24, 66, 120, 66, 64 ]
3,417
[ 1, 1, 0, 0, 0, 161, 218, 193, 155, 128, 149, 82, 64, 196, 68, 25, 24, 66, 120, 66, 64 ]
5,069
[ 1, 1, 0, 0, 0, 139, 160, 210, 114, 88, 151, 82, 64, 196, 68, 25, 24, 66, 120, 66, 64 ]
4,679
[ 1, 1, 0, 0, 0, 117, 102, 227, 73, 48, 153, 82, 64, 196, 68, 25, 24, 66, 120, 66, 64 ]
4,410
[ 1, 1, 0, 0, 0, 95, 44, 244, 32, 8, 155, 82, 64, 196, 68, 25, 24, 66, 120, 66, 64 ]
4,407
[ 1, 1, 0, 0, 0, 73, 242, 4, 248, 223, 156, 82, 64, 196, 68, 25, 24, 66, 120, 66, 64 ]
4,543
[ 1, 1, 0, 0, 0, 51, 184, 21, 207, 183, 158, 82, 64, 196, 68, 25, 24, 66, 120, 66, 64 ]
5,020
[ 1, 1, 0, 0, 0, 29, 126, 38, 166, 143, 160, 82, 64, 196, 68, 25, 24, 66, 120, 66, 64 ]
5,027
[ 1, 1, 0, 0, 0, 7, 68, 55, 125, 103, 162, 82, 64, 196, 68, 25, 24, 66, 120, 66, 64 ]
5,428
[ 1, 1, 0, 0, 0, 241, 9, 72, 84, 63, 164, 82, 64, 196, 68, 25, 24, 66, 120, 66, 64 ]
End of preview.

Himalaya Basin Analytics Datasets

This dataset repository hosts geospatial, hydro-meteorological, and climate datasets for the Himalaya Basin Analytics platform (Jay9115/Himalaya-web-backend).

Repository Structure

  • Full_Shape_ERA5/: High-resolution ERA5 reanalysis hydro-climate variables in partitioned Parquet format.
  • Full_shape_CMIP6/: CMIP6 multi-model climate projection scenarios in partitioned Parquet format.
  • SPHY_Model/: Spatial Processes in HYdrology (SPHY) model outputs including glacier and snow melt contributions.
  • CHIRPS/: Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) high-resolution precipitation records.
  • MOD10A1_Parquet/: MODIS MOD10A1 monthly snow cover and albedo observations in Parquet format.
  • MOD10A1_Monthly_GeoTIFF/: Raw MODIS MOD10A1 monthly snow cover GeoTIFF rasters.
  • Discharge_Geopar/: River discharge network streamflow data in GeoParquet format.
  • DEM/: Himalaya SRTM digital elevation model rasters and spatial reference in GeoParquet format.
  • Research_Ready/: Standardized, quality-controlled research datasets and indicators.
  • Glacier_shp/: GLIMS glacier outlines and boundary polygon features.
  • Outcomes/: Precomputed long-term hotspot metrics, trend indicators, and hydro-climate summary outcomes.
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