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Dynamic evolution and scenario simulation of habitat quality under the impact of land-use change in the Huaihe River Economic Belt, China

<p>1. Land-use data</p> <p>Meaning of the value in the layers:<br> 11: Paddy field&nbsp;<br> 12: Dry land<br> 21: Forestland<br> 22: Shrubland<br> 23: Sparse woodland<br> 24: Other woodland<br> 31: High coverage grassland<br> 32: Medium coverage grassland<br> 33: Low coverage grassland<br> 41: River canal<br> 42: Lake<br> 43: Reservoir and pond<br> 44: Permanent glacial snow<br> 45: Coastal mud flat&nbsp;<br> 46: Inland tidal flat<br> 51: Urban land<br> 52: Rural residential land<br> 53: Industrial and traffic land<br> 61: Dene<br> 62: Gobi Desert<br> 63: Saline and alkaline land<br> 64: Marshland<br> 65: Bare land<br> 66: Bare rock<br> 67: Other unused land</p> <p>2. GDP data (Meaning of the value in the layer: yuan/km<sup>2</sup>)</p> <p>3. Population density data (Meaning of the value in the layer: person/km<sup>2</sup>)</p> <p>4. Meteorological data</p> <p>temperature data (unit: ℃)</p> <p>perception data(unit:mm)</p> <p>5.&nbsp;Terrain data including elevation, slope and aspect</p> <p>6. Vector data including railways, highways, national roads, provincial roads and county roads</p>

ShareScore

32/100

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
0