Deprivation pockets through the lens of convolutional neural networks
| Identifier | |
|---|---|
| DOI | https://doi.org/10.17026/DANS-ZBD-HFW7 |
| Metadata Access | https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/DANS-ZBD-HFW7 |
| Provenance | |
|---|---|
| Creator | J Wang |
| Publisher | DANS Data Station Physical and Technical Sciences |
| Contributor | M Th Koelen; University of Amsterdam |
| Publication Year | 2020 |
| Rights | DANS Licence; info:eu-repo/semantics/restrictedAccess; https://doi.org/10.17026/fp39-0x58 |
| OpenAccess | false |
| Contact | M Th Koelen (Faculty of Geo-Information Science and Earth Observation) |
| Representation | |
|---|---|
| Resource Type | Dataset |
| Format | image/tiff; text/xml; application/octet-stream; application/dbf; application/prj; application/sbn; application/sbx; application/shp; application/shx; application/zip |
| Size | 268438300; 258414812; 312; 27333; 5; 1039; 5592; 24588; 680; 401; 1628; 268; 70844; 608; 1920; 1212; 23324 |
| Version | 1.0 |
| Discipline | Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Geography; Geosciences; Geospheric Sciences; Life Sciences; Natural Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences |
