Data · dataset · 2024
Statistical Analysis of Hydrological Series of Inputs from the Llano Bridge, Santander
Listed in Teesside University Research Data Repository
Description
The statistical analysis of the hydrological series corresponding to the contributions of the Puente del Llano, located in the department of Santander, is presented as a structured project in a PDF format that includes key bibliographic references to guide the statistical analysis process and the elaboration of a detailed report. This analysis is complemented with a database in Excel format, which contains historical hydrological records obtained from the Puente del Llano watershed.
From these data, specific studies are performed such as the analysis of the annual historical series, identification and characterization of historical droughts, data normalization, statistical modeling, among other approaches. This comprehensive approach allows understanding hydrological patterns and generating predictive models that contribute to the sustainable management of water resources in the region.
Links
Where it is published
- DOI doi.org/10.17632/zcshv9rvzg.1 ↗
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
- Climate · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Social Science
- Inferred from text
- Hydrology 74%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/zcshv9rvzg.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:3707 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[subject].local:topic:climate | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Climate'] |
| 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 |