Skip to main content
zenodoopen

Nepal Uber H3 level 6 database

<p>Database for characterization of sub national units for Nepal using Uber H3 level 6 hexagons. Data includes crop, livestock, population a well as climate data. H3 hexagons have unique identifiers that can be used to sum or average underlying data covered by area. As compared to square pixels, hexagons are better to fully cover a countries area. The lower the level used the better the fit.</p> <p>Data sources used:</p> <p>Livestock: FAO GLW (Cattle, Goats, Sheep, Chicken, Buffaloes) year 2015</p> <p>Population Meta for Good 2018</p> <p>Crops: IFPRI SPAM 2010 (</p> <p>Climate: Worldclim 2.1</p> <p>Elevation: SRTM CSI CGIAR</p> <table> <tbody> <tr> <td>buffalo2015</td> <td>&nbsp;</td> <td>Buffaloes</td> </tr> <tr> <td>cattle2015</td> <td>&nbsp;</td> <td>Cattle</td> </tr> <tr> <td>chicken2015</td> <td>&nbsp;</td> <td>Chicken</td> </tr> <tr> <td>sheep2015</td> <td>&nbsp;</td> <td>Sheep</td> </tr> <tr> <td>goats2015</td> <td>&nbsp;</td> <td>Goats</td> </tr> <tr> <td>hareabana</td> <td>&nbsp;</td> <td>banana area ha</td> </tr> <tr> <td>hareabanaplnt</td> <td>&nbsp;</td> <td>banana plantan area ha</td> </tr> <tr> <td>hareabarl</td> <td>&nbsp;</td> <td>barley area ha</td> </tr> <tr> <td>hareabean</td> <td>&nbsp;</td> <td>bean area ha</td> </tr> <tr> <td>hareachic</td> <td>&nbsp;</td> <td>chickpea area ha</td> </tr> <tr> <td>hareafoodcrp</td> <td>&nbsp;</td> <td>foodcrops area ha</td> </tr> <tr> <td>harealent</td> <td>&nbsp;</td> <td>lentil area ha</td> </tr> <tr> <td>hareamaiz</td> <td>&nbsp;</td> <td>maize area ha</td> </tr> <tr> <td>hareaocer</td> <td>&nbsp;</td> <td>other cereals area ha</td> </tr> <tr> <td>hareaopul</td> <td>&nbsp;</td> <td>other pulses area ha</td> </tr> <tr> <td>hareaorts</td> <td>&nbsp;</td> <td>other roots and tubers area ha</td> </tr> <tr> <td>hareapige</td> <td>&nbsp;</td> <td>pigeonpea area ha</td> </tr> <tr> <td>hareapota</td> <td>&nbsp;</td> <td>potato area ha</td> </tr> <tr> <td>harearice</td> <td>&nbsp;</td> <td>rice area ha</td> </tr> <tr> <td>hareasmil</td> <td>&nbsp;</td> <td>millet area ha</td> </tr> <tr> <td>hareasoyb</td> <td>&nbsp;</td> <td>soybean area ha</td> </tr> <tr> <td>hareawhea</td> <td>&nbsp;</td> <td>wheat area ha</td> </tr> <tr> <td>precann</td> <td>&nbsp;</td> <td>annual rainfall</td> </tr> <tr> <td>tmax_ann</td> <td>&nbsp;</td> <td>longterm annual tmax (1970-2000)</td> </tr> <tr> <td>tmin_ann</td> <td>&nbsp;</td> <td>longterm annual tmin (1970-2000)</td> </tr> <tr> <td>world250meter</td> <td>&nbsp;</td> <td>Elevation m a.b.s.l.</td> </tr> </tbody> </table> <p>Caveats:</p> <p>Hexagon size can be smaller than actual pixel size like SPAM, values can be lower or higher depending on location and pixel below. Use as indicator of importance not absolute value.</p> <p>&nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4