Data · dataset · 2024
Daily-scale meteorological dataset of forest ecosystems at Baotianman Station (2017–2022)
Listed in ScienceDB
Meteorological data is important basic information that representing climate change or variation, and thus crucial for studying water and carbon cycles, biodiversity and the predicting ecosystem evolution.
Description
Baotianman Forest Ecosystem National Observation and Research Station is located in the transition zone from the northern subtropical zone to the warm temperate zone in China, which is a unique geographic location.
The ecological station was built in 1993, officially approved by the former State Forestry Administration in 2005, and selected as a national field scientific observation and research station in 2021, which is one of the Chinese Forest Ecosystem Research Network (CFERN) and the National Positioning Research Station for Field Scientific Observations (NPSO). This study is based on the "Methods for Collating Observational Data on Atmospheric Environmental Elements", which is a compilation of meteorological data.
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This dataset includes daily scale data of basic atmospheric elements at Baotianman Ecological Station from 2017 to 2022, including temperature, relative humidity, barometric pressure, wind speed, wind direction, precipitation, soil temperature (daily average temperature of 10, 20, 30, 40, and 50 cm soil), soil humidity (daily average humidity of 10, 20, 30, 40, and 50 cm soil), etc. It provides basic information for various researches of the forest ecosystems in the context of global change.
It provides basic information for various studies on forest ecosystems in the context of global change.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.ecodb.00205 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Forestry sciences 71%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.ecodb.00205 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3007 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |