A dataset of the observations of carbon and water fluxes in the paddy fields of Panjin (2018–2020)

Paddy fields play an important role in the study of agricultural land use and global carbon cycle. As one of the main rice producing areas in Northeast China, Liaohe River Delta provides a good experimental platform for the study of carbon and water cycle in Paddy fields. However, the study of long-...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Qingyu Jia, Rihong Wen, Zhou, Li, Guangsheng Zhou, Yanbing Xie, Wu, Qiong
Format: Dataset
Sprache:chi
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Qingyu Jia
Rihong Wen
Zhou, Li
Guangsheng Zhou
Yanbing Xie
Wu, Qiong
description Paddy fields play an important role in the study of agricultural land use and global carbon cycle. As one of the main rice producing areas in Northeast China, Liaohe River Delta provides a good experimental platform for the study of carbon and water cycle in Paddy fields. However, the study of long-term carbon and water fluxes in the Liaohe River Delta Paddy area is still insufficient, and long-term data monitoring and sorting are urgently needed.This dataset is the flux data of the paddy field ecosystem in the Liaohe River Delta from 2018 to 2020, collected from the Panjin Paddy Field Research Station of the Northeast Ecological and Agrometeorological Field Experimental Base of China Meteorological Administration. Based on the data processing system of the China Flux Observation and Research Network (ChinaFLUX), standardized datasets of water fluxes of ecosystem carbon and key meteorological elements are established, including data files collected at half an hour, day, month and year scales. This dataset is
doi_str_mv 10.57760/sciencedb.06828
format Dataset
fullrecord <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_57760_sciencedb_06828</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_57760_sciencedb_06828</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_57760_sciencedb_068283</originalsourceid><addsrcrecordid>eNqdjr0KwjAUhbM4iLo73lEHa1qx7SqiODq4h9vkFiM1KUn86eY7-IY-ibaID-B04PxwPsbGMY-WWZbyuZeajCRVRDzNk7zP1AoUBvQUwJYQjgS28OSuGLQ1vvUkusIaQKPghoEclNXlTh606eo1KtVAqalSXX2P5vSJJgmP89fjmfCET4esV2LlafTVAePbzWG9m7XXUgcStdNndI2IuehAxQ9UdKCLPyZvJZxPBA</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>A dataset of the observations of carbon and water fluxes in the paddy fields of Panjin (2018–2020)</title><source>DataCite</source><creator>Qingyu Jia ; Rihong Wen ; Zhou, Li ; Guangsheng Zhou ; Yanbing Xie ; Wu, Qiong</creator><creatorcontrib>Qingyu Jia ; Rihong Wen ; Zhou, Li ; Guangsheng Zhou ; Yanbing Xie ; Wu, Qiong</creatorcontrib><description>Paddy fields play an important role in the study of agricultural land use and global carbon cycle. As one of the main rice producing areas in Northeast China, Liaohe River Delta provides a good experimental platform for the study of carbon and water cycle in Paddy fields. However, the study of long-term carbon and water fluxes in the Liaohe River Delta Paddy area is still insufficient, and long-term data monitoring and sorting are urgently needed.This dataset is the flux data of the paddy field ecosystem in the Liaohe River Delta from 2018 to 2020, collected from the Panjin Paddy Field Research Station of the Northeast Ecological and Agrometeorological Field Experimental Base of China Meteorological Administration. Based on the data processing system of the China Flux Observation and Research Network (ChinaFLUX), standardized datasets of water fluxes of ecosystem carbon and key meteorological elements are established, including data files collected at half an hour, day, month and year scales. This dataset is</description><identifier>DOI: 10.57760/sciencedb.06828</identifier><language>chi</language><publisher>Science Data Bank</publisher><subject>Carbon water flux ; Earth science ; Eddy covariance ; Liaohe River Delta ; meteorological observation ; Paddy field</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.57760/sciencedb.06828$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Qingyu Jia</creatorcontrib><creatorcontrib>Rihong Wen</creatorcontrib><creatorcontrib>Zhou, Li</creatorcontrib><creatorcontrib>Guangsheng Zhou</creatorcontrib><creatorcontrib>Yanbing Xie</creatorcontrib><creatorcontrib>Wu, Qiong</creatorcontrib><title>A dataset of the observations of carbon and water fluxes in the paddy fields of Panjin (2018–2020)</title><description>Paddy fields play an important role in the study of agricultural land use and global carbon cycle. As one of the main rice producing areas in Northeast China, Liaohe River Delta provides a good experimental platform for the study of carbon and water cycle in Paddy fields. However, the study of long-term carbon and water fluxes in the Liaohe River Delta Paddy area is still insufficient, and long-term data monitoring and sorting are urgently needed.This dataset is the flux data of the paddy field ecosystem in the Liaohe River Delta from 2018 to 2020, collected from the Panjin Paddy Field Research Station of the Northeast Ecological and Agrometeorological Field Experimental Base of China Meteorological Administration. Based on the data processing system of the China Flux Observation and Research Network (ChinaFLUX), standardized datasets of water fluxes of ecosystem carbon and key meteorological elements are established, including data files collected at half an hour, day, month and year scales. This dataset is</description><subject>Carbon water flux</subject><subject>Earth science</subject><subject>Eddy covariance</subject><subject>Liaohe River Delta</subject><subject>meteorological observation</subject><subject>Paddy field</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2022</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqdjr0KwjAUhbM4iLo73lEHa1qx7SqiODq4h9vkFiM1KUn86eY7-IY-ibaID-B04PxwPsbGMY-WWZbyuZeajCRVRDzNk7zP1AoUBvQUwJYQjgS28OSuGLQ1vvUkusIaQKPghoEclNXlTh606eo1KtVAqalSXX2P5vSJJgmP89fjmfCET4esV2LlafTVAePbzWG9m7XXUgcStdNndI2IuehAxQ9UdKCLPyZvJZxPBA</recordid><startdate>20221204</startdate><enddate>20221204</enddate><creator>Qingyu Jia</creator><creator>Rihong Wen</creator><creator>Zhou, Li</creator><creator>Guangsheng Zhou</creator><creator>Yanbing Xie</creator><creator>Wu, Qiong</creator><general>Science Data Bank</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20221204</creationdate><title>A dataset of the observations of carbon and water fluxes in the paddy fields of Panjin (2018–2020)</title><author>Qingyu Jia ; Rihong Wen ; Zhou, Li ; Guangsheng Zhou ; Yanbing Xie ; Wu, Qiong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_57760_sciencedb_068283</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>chi</language><creationdate>2022</creationdate><topic>Carbon water flux</topic><topic>Earth science</topic><topic>Eddy covariance</topic><topic>Liaohe River Delta</topic><topic>meteorological observation</topic><topic>Paddy field</topic><toplevel>online_resources</toplevel><creatorcontrib>Qingyu Jia</creatorcontrib><creatorcontrib>Rihong Wen</creatorcontrib><creatorcontrib>Zhou, Li</creatorcontrib><creatorcontrib>Guangsheng Zhou</creatorcontrib><creatorcontrib>Yanbing Xie</creatorcontrib><creatorcontrib>Wu, Qiong</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Qingyu Jia</au><au>Rihong Wen</au><au>Zhou, Li</au><au>Guangsheng Zhou</au><au>Yanbing Xie</au><au>Wu, Qiong</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>A dataset of the observations of carbon and water fluxes in the paddy fields of Panjin (2018–2020)</title><date>2022-12-04</date><risdate>2022</risdate><abstract>Paddy fields play an important role in the study of agricultural land use and global carbon cycle. As one of the main rice producing areas in Northeast China, Liaohe River Delta provides a good experimental platform for the study of carbon and water cycle in Paddy fields. However, the study of long-term carbon and water fluxes in the Liaohe River Delta Paddy area is still insufficient, and long-term data monitoring and sorting are urgently needed.This dataset is the flux data of the paddy field ecosystem in the Liaohe River Delta from 2018 to 2020, collected from the Panjin Paddy Field Research Station of the Northeast Ecological and Agrometeorological Field Experimental Base of China Meteorological Administration. Based on the data processing system of the China Flux Observation and Research Network (ChinaFLUX), standardized datasets of water fluxes of ecosystem carbon and key meteorological elements are established, including data files collected at half an hour, day, month and year scales. This dataset is</abstract><pub>Science Data Bank</pub><doi>10.57760/sciencedb.06828</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.57760/sciencedb.06828
ispartof
issn
language chi
recordid cdi_datacite_primary_10_57760_sciencedb_06828
source DataCite
subjects Carbon water flux
Earth science
Eddy covariance
Liaohe River Delta
meteorological observation
Paddy field
title A dataset of the observations of carbon and water fluxes in the paddy fields of Panjin (2018–2020)
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T14%3A30%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Qingyu%20Jia&rft.date=2022-12-04&rft_id=info:doi/10.57760/sciencedb.06828&rft_dat=%3Cdatacite_PQ8%3E10_57760_sciencedb_06828%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true