This Initiative aims to support sustainable and inclusive transformation of food, land and water systems by bridging the gender and urban-rural digital divide, improving equitable access to and quality of available information and systems, and strengthening local capabilities to best make use of the potential of digital technologies.
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Unknown - 1000.0 MB - MD5: 8cc0226b3ec4d43bcc4a2af736bb1eb4
Elevation Data files have been split into 1 to 6.
Jan 10, 2024
R.C.J. Koen; F.J.K Koen, 2023, "Aquatic macroinvertebrate image dataset", https://doi.org/10.7910/DVN/1QQPJ5, Harvard Dataverse, V3
Dataset contains approximately one thousand images of each of the thirteen mini stream assessment scoring system (miniSASS) aquatic macroinvertebrate groups. The dataset comprises approximately thirteen thousand photos.
7Z Archive - 1.9 GB - MD5: 030452a2612043ecd4cf8e76a57d0091
7Z Archive - 2.0 GB - MD5: 9af34dcff326a8f9b160e1b9a2d0c71f
7Z Archive - 1.9 GB - MD5: f1d18773ca36fc8782f71d7226c8e594
7Z Archive - 2.0 GB - MD5: 579d75ea25b66d1681e3d6c56417ddef
7Z Archive - 1.9 GB - MD5: 309b4219b4235d7b7c4c6525829a4b98
7Z Archive - 710.5 MB - MD5: ed7209469c26b858a0e5140faf06ca81
7Z Archive - 1.2 GB - MD5: 25c93a1615363865f26183f858837e45
7Z Archive - 1.9 GB - MD5: 5664e921667e542b6c13d8701f98e67f
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