Data · dataset · 2021
Time Series Data for Monthly Respiratory Diseases Deaths in 61 Countries from 2000 to 2016
Listed in Teesside University Research Data Repository
This data file is prepared to show the step-by-step data preparation for the paper entitled "A New Ensemble Learning Strategy for Panel Time-Series Forecasting with Applications to Tracking Respiratory Disease Excess Mortality during the COVID-19 pandemic" by Afshin Ashofteh, Jorge M. Bravo, and Mercedes Ayuso.
Description
The outputs are available in folders. For detailed information, please refer to the paper.
Links
Where it is published
- DOI doi.org/10.17632/gjj68bmv8d.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science
- Inferred from text
- Disease 75%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/gjj68bmv8d.2 | 6 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |