{"data":{"id":"10.6084/m9.figshare.1580032","type":"dois","attributes":{"doi":"10.6084/m9.figshare.1580032","prefix":"10.6084","suffix":"m9.figshare.1580032","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Tiwari, Rakesh","nameType":"Personal","givenName":"Rakesh","familyName":"Tiwari","affiliation":[],"nameIdentifiers":[]},{"name":"K. Kritee","affiliation":[],"nameIdentifiers":[]},{"name":"Adhya, Tapan K.","nameType":"Personal","givenName":"Tapan K.","familyName":"Adhya","affiliation":[],"nameIdentifiers":[]},{"name":"Loecke, Terry","nameType":"Personal","givenName":"Terry","familyName":"Loecke","affiliation":[],"nameIdentifiers":[]},{"name":"Rudek, Joe","nameType":"Personal","givenName":"Joe","familyName":"Rudek","affiliation":[],"nameIdentifiers":[]},{"name":"Drishya Nair","affiliation":[],"nameIdentifiers":[]},{"name":"Ahuja, Richie","nameType":"Personal","givenName":"Richie","familyName":"Ahuja","affiliation":[],"nameIdentifiers":[]},{"name":"Balireddygari, Shalini","nameType":"Personal","givenName":"Shalini","familyName":"Balireddygari","affiliation":[],"nameIdentifiers":[]},{"name":"Somashekar Balakrishna","affiliation":[],"nameIdentifiers":[]},{"name":"Ram, Karthik","nameType":"Personal","givenName":"Karthik","familyName":"Ram","affiliation":[],"nameIdentifiers":[]},{"name":"Leelavathi C. Venkataiah","affiliation":[],"nameIdentifiers":[]},{"name":"Obulapathi Dava","affiliation":[],"nameIdentifiers":[]},{"name":"Madasamy, Murugan","nameType":"Personal","givenName":"Murugan","familyName":"Madasamy","affiliation":[],"nameIdentifiers":[]},{"name":"Abhilash Salai","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Sampling guidelines and analytical optimization for direct greenhouse gas emissions from tropical rice and upland cropping systems"}],"publisher":"Taylor \u0026 Francis","container":{},"publicationYear":2015,"subjects":[{"subject":"Space Science"},{"subject":"Cell Biology"},{"subject":"Biotechnology"},{"subject":"59999 Environmental Sciences not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Earth and related environmental sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Earth and related environmental sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"39999 Chemical Sciences not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Chemical sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Chemical sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Ecology"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Biological sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"20199 Astronomical and Space Sciences not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Physical sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Physical sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"69999 Biological Sciences not elsewhere classified","subjectScheme":"FOR"},{"subject":"Inorganic Chemistry"},{"subject":"Plant Biology"}],"contributors":[],"dates":[{"date":"2015-10-20","dateType":"Created"},{"date":"2016-03-15","dateType":"Updated"},{"date":"2015","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1080/17583004.2015.1082233","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["1950995 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"We describe a modified manual closed-chamber approach with detachable lid and vertically stackable chambers for sampling followed by simultaneous analysis of nitrous oxide (N\u003csub\u003e2\u003c/sub\u003eO) and methane (CH\u003csub\u003e4\u003c/sub\u003e) for measuring greenhouse gas flux from rice and upland cropping systems in peninsular India. A meta-analysis of leading internationally/regionally recommended approaches to monitor agricultural GHG emissions is presented to put our sampling choices (e.g., chamber design, sampling intensity, sample storage and analytical corrections) into perspective. Given our set-up, the sample retention capacity of polypropylene syringes and crimped glass vials with grey butyl-rubber septa was ∼6 hours and 10 days, respectively; and temperature correction of N\u003csub\u003e2\u003c/sub\u003eO and CH\u003csub\u003e4\u003c/sub\u003e concentrations was essential but plant volume correction did not affect the flux rates substantially. Optimization of gas flow rates, pre-column sample retention period, oxygen venting and temperature/current were found to reduce run time from \u0026gt;14 to 7 min per sample and enhance sensitivity by 30–40% while improving analytical precision from 15–30% to \u0026lt; 2% relative standard deviation (RSD). We suggest an alternative to the linear interpolation approach of integrating the area under the N\u003csub\u003e2\u003c/sub\u003eO peak because linear interpolation can overestimate the cumulative seasonal N\u003csub\u003e2\u003c/sub\u003eO emissions by 50–100%, especially after fertilization and/or rain events.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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