Data · dataset · 2018
Deprivation pockets through the lens of convolutional neural networks
Listed in DANS Data Station Physical and Technical Sciences
This dataset contains data used for training and validating deep learning models used in the paper: Wang, J., Kuffer, M., Roy, D. and Pfeffer, K., 2019.
Description
Deprivation pockets through the lens of convolutional neural networks. Remote sensing of environment, 234, p.111448.
Deprivation through deep learning Date Submitted: 2020-09-03 Issued: 2017-05-31
Links
Where it is published
- Dataverse dataset page phys-techsciences.datastations.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FDANS-ZBD-HFW7 ↗
landing page · from phys techsciences datastations nl
- DOI doi.org/10.17026/dans-zbd-hfw7 ↗
DOI / persistent id · from phys techsciences datastations nl
Catalogue records · 1
- Dataverse API phys-techsciences.datastations.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FDANS… ↗
metadata API · from phys techsciences datastations nl
Topics
- Stated by source
- Computer and Information Science · Social Sciences
- From keywords
- Computer Science & AI · Earth & Environmental Science · Social Science
- Inferred from text
- Satellite remote sensing 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DANS Data Station Physical and Technical Sciences | doi:10.17026/DANS-ZBD-HFW7 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:computer-and-information-science | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].dataverse_subject:social-sciences | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[modality].local:modality:remote-sensing | enrichment · phys techsciences datastations nl | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| description | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /description |
| publication_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| title | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /name |
| updated_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| version_label | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 |