- home
- Advanced Search
Advanced search in Research outcomes
Filters
Clear AllRural Digital Europe Research data Closed Access ZENODO
Filters
Clear AllRural Digital Europe Research data Closed Access ZENODO
Loading
- research data . 2022Closed Access EnglishAuthors:Silvia Maria Alfieri;Persistent IdentifiersPublisher: ZenodoProject: EC | OPERANDUM (776848)
Surface features are produced as a result of internal deformation of active landslides, and are continuously created and destroyed by the movement. The detailed mapping of the evolution of bare ground patches and vegetation cover pattern over time provides useful insigh...
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome. - research data . 2022Closed AccessAuthors:Alfieri, Silvia Maria;Persistent IdentifiersPublisher: ZenodoProject: EC | OPERANDUM (776848)
In order to reduce the risk posed by flooding, areas of woody vegetation have been removed along the riverbank of Elbe river in order to expedite the inflow and outflow of water from the main channel, and thus contribute to flattening the peak hydrographic response. Mai...
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome. - research data . 2021Closed Access EnglishAuthors:Jing Wei; Zhanqing Li;Persistent IdentifiersPublisher: Zenodo
ChinaHighPM10 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from the big data (e.g., ground-based measurements, satellite remote...
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome. - research data . 2021Closed AccessAuthors:Wei, Jing; Li, Zhanqing;Persistent IdentifiersPublisher: Zenodo
ChinaHighPM2.5 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from the big data (e.g., ground-based measurements, satellite remot...
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome. - research data . 2021Closed AccessAuthors:Jing Wei; Zhanqing Li;Persistent IdentifiersPublisher: Zenodo
ChinaHighPM1 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data (e.g., ground-based measurements, satellite remote sens...
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome. - research data . 2021Closed AccessAuthors:Jing Wei; Zhanqing Li;Persistent IdentifiersPublisher: Zenodo
ChinaHighSO2 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data (e.g., ground-based measurements, satellite remote sens...
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome. - research data . 2021Closed AccessAuthors:Jing Wei; Zhanqing Li;Persistent IdentifiersPublisher: Zenodo
ChinaHighPM2.5 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data (e.g., ground-based measurements, satellite remote se...
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome. - research data . 2021Closed AccessAuthors:Jing Wei; Zhanqing Li;Persistent IdentifiersPublisher: Zenodo
ChinaHighPM10 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data (e.g., ground-based measurements, satellite remote sen...
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome. - research data . 2021Closed AccessAuthors:Jing Wei; Zhanqing Li;Persistent IdentifiersPublisher: Zenodo
ChinaHighPM10 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from the big data (e.g., ground-based measurements, satellite remote...
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome. - research data . 2021Closed AccessAuthors:Jing Wei; Zhanqing Li;Persistent IdentifiersPublisher: Zenodo
ChinaHighNO2 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data (e.g., ground-based measurements, satellite remote sens...
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome.