{"data":{"id":"10.6084/m9.figshare.8942336.v1","type":"dois","attributes":{"doi":"10.6084/m9.figshare.8942336.v1","prefix":"10.6084","suffix":"m9.figshare.8942336.v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Zheng, Yi","givenName":"Yi","familyName":"Zheng","affiliation":[],"nameIdentifiers":[]},{"name":"Shen, Ruoque","givenName":"Ruoque","familyName":"Shen","affiliation":[],"nameIdentifiers":[]},{"name":"Wang, Yawen","givenName":"Yawen","familyName":"Wang","affiliation":[],"nameIdentifiers":[]},{"name":"Li, Xiangqian","givenName":"Xiangqian","familyName":"Li","affiliation":[],"nameIdentifiers":[]},{"name":"Liu, Shuguang","givenName":"Shuguang","familyName":"Liu","affiliation":[],"nameIdentifiers":[]},{"name":"Liang, Shunlin","givenName":"Shunlin","familyName":"Liang","affiliation":[],"nameIdentifiers":[]},{"name":"Chen, Jing M.","givenName":"Jing M.","familyName":"Chen","affiliation":[],"nameIdentifiers":[]},{"name":"Ju, Weimin","givenName":"Weimin","familyName":"Ju","affiliation":[],"nameIdentifiers":[]},{"name":"Zhang, Li","givenName":"Li","familyName":"Zhang","affiliation":[],"nameIdentifiers":[]},{"name":"Yuan, Wenping","givenName":"Wenping","familyName":"Yuan","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Improved estimate of global gross primary production for reproducing its long-term variation, 1982-2017"}],"publisher":"figshare","container":{},"publicationYear":2019,"subjects":[{"subject":"50301 Carbon Sequestration Science","schemeUri":"http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E","subjectScheme":"FOR"},{"subject":"FOS: Agriculture, forestry and fisheries","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","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":"Environmental Science"}],"contributors":[],"dates":[{"date":"2019-07-19","dateType":"Created"},{"date":"2020-09-13","dateType":"Updated"},{"date":"2019","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsPreviousVersionOf","relatedIdentifier":"10.6084/m9.figshare.8942336","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["9498912037 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":"This dataset provides 8-day global gross primary production (GPP) at 0.05° latitude by 0.05° longitude for 1982-2017. (1) Model description and performance The GPP dataset was generated by the revised EC-LUE model by integrating the regulations of several major environmental variables: atmospheric CO2 concentration, radiation components (i.e., direct and diffuse radiations), and atmospheric vapor pressure deficit (VPD). The revised EC-LUE performed well in simulating the spatial, seasonal, and interannual variations in global GPP. Particularly, it has a unique superiority in reproducing the interannual variations in GPP at both site level and global scales. (2) Dataset information Each .zip file contains all the 8-day GPP of a year at daily value. To obtain the summation of each 8-day (or 5-day or 6-day) period, please multiply the GPP value by corresponding days (8 for the first 45 values, and 5 or 6 for the last value). Data format: HDF Spatial extent: 90S-90N 180W-180E Fill value: 65535 Scale factor: 0.01 Unit: g C m\u003csup\u003e-2\u003c/sup\u003e day\u003csup\u003e-1\u003c/sup\u003e Any questions about the GPP dataset can be corresponded to yuanwpcn@126.com (Wenping Yuan).","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0iVVRGLTgiPz4KPHJlc291cmNlIHhtbG5zPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCIgeG1sbnM6eHNpPSJodHRwOi8vd3d3LnczLm9yZy8yMDAxL1hNTFNjaGVtYS1pbnN0YW5jZSIgeHNpOnNjaGVtYUxvY2F0aW9uPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCBodHRwOi8vc2NoZW1hLmRhdGFjaXRlLm9yZy9tZXRhL2tlcm5lbC00LjEvbWV0YWRhdGEueHNkIj4KICA8aWRlbnRpZmllciBpZGVudGlmaWVyVHlwZT0iRE9JIj4xMC42MDg0L005LkZJR1NIQVJFLjg5NDIzMzYuVjE8L2lkZW50aWZpZXI+CiAgPGNyZWF0b3JzPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5ZaSBaaGVuZzwvY3JlYXRvck5hbWU+CiAgICAgIDxnaXZlbk5hbWU+WWk8L2dpdmVuTmFtZT4KICAgICAgPGZhbWlseU5hbWU+Wmhlbmc8L2ZhbWlseU5hbWU+CiAgICA8L2NyZWF0b3I+CiAgICA8Y3JlYXRvcj4KICAgICAgPGNyZWF0b3JOYW1lPlJ1b3F1ZSBTaGVuPC9jcmVhdG9yTmFtZT4KICAgICAgPGdpdmVuTmFtZT5SdW9xdWU8L2dpdmVuTmFtZT4KICAgICAgPGZhbWlseU5hbWU+U2hlbjwvZmFtaWx5TmFtZT4KICAgIDwvY3JlYXRvcj4KICAgIDxjcmVhdG9yPgogICAgICA8Y3JlYXRvck5hbWU+WWF3ZW4gV2FuZzwvY3JlYXRvck5hbWU+CiAgICAgIDxnaXZlbk5hbWU+WWF3ZW48L2dpdmVuTmFtZT4KICAgICAgPGZhbWlseU5hbWU+V2FuZzwvZmFtaWx5TmFtZT4KICAgIDwvY3JlYXRvcj4KICAgIDxjcmVhdG9yPgogICAgICA8Y3JlYXRvck5hbWU+WGlhbmdxaWFuIExpPC9jcmVhdG9yTmFtZT4KICAgICAgPGdpdmVuTmFtZT5YaWFuZ3FpYW48L2dpdmVuTmFtZT4KICAgICAgPGZhbWlseU5hbWU+TGk8L2ZhbWlseU5hbWU+CiAgICA8L2NyZWF0b3I+CiAgICA8Y3JlYXRvcj4KICAgICAgPGNyZWF0b3JOYW1lPlNodWd1YW5nIExpdTwvY3JlYXRvck5hbWU+CiAgICAgIDxnaXZlbk5hbWU+U2h1Z3Vhbmc8L2dpdmVuTmFtZT4KICAgICAgPGZhbWlseU5hbWU+TGl1PC9mYW1pbHlOYW1lPgogICAgPC9jcmVhdG9yPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5TaHVubGluIExpYW5nPC9jcmVhdG9yTmFtZT4KICAgICAgPGdpdmVuTmFtZT5TaHVubGluPC9naXZlbk5hbWU+CiAgICAgIDxmYW1pbHlOYW1lPkxpYW5nPC9mYW1pbHlOYW1lPgogICAgPC9jcmVhdG9yPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5KaW5nIE0uIENoZW48L2NyZWF0b3JOYW1lPgogICAgICA8Z2l2ZW5OYW1lPkppbmcgTS48L2dpdmVuTmFtZT4KICAgICAgPGZhbWlseU5hbWU+Q2hlbjwvZmFtaWx5TmFtZT4KICAgIDwvY3JlYXRvcj4KICAgIDxjcmVhdG9yPgogICAgICA8Y3JlYXRvck5hbWU+V2VpbWluIEp1PC9jcmVhdG9yTmFtZT4KICAgICAgPGdpdmVuTmFtZT5XZWltaW48L2dpdmVuTmFtZT4KICAgICAgPGZhbWlseU5hbWU+SnU8L2ZhbWlseU5hbWU+CiAgICA8L2NyZWF0b3I+CiAgICA8Y3JlYXRvcj4KICAgICAgPGNyZWF0b3JOYW1lPkxpIFpoYW5nPC9jcmVhdG9yTmFtZT4KICAgICAgPGdpdmVuTmFtZT5MaTwvZ2l2ZW5OYW1lPgogICAgICA8ZmFtaWx5TmFtZT5aaGFuZzwvZmFtaWx5TmFtZT4KICAgIDwvY3JlYXRvcj4KICAgIDxjcmVhdG9yPgogICAgICA8Y3JlYXRvck5hbWU+V2VucGluZyBZdWFuPC9jcmVhdG9yTmFtZT4KICAgICAgPGdpdmVuTmFtZT5XZW5waW5nPC9naXZlbk5hbWU+CiAgICAgIDxmYW1pbHlOYW1lPll1YW48L2ZhbWlseU5hbWU+CiAgICA8L2NyZWF0b3I+CiAgPC9jcmVhdG9ycz4KICA8dGl0bGVzPgogICAgPHRpdGxlPkltcHJvdmVkIGVzdGltYXRlIG9mIGdsb2JhbCBncm9zcyBwcmltYXJ5IHByb2R1Y3Rpb24gZm9yIHJlcHJvZHVjaW5nIGl0cyBsb25nLXRlcm0gdmFyaWF0aW9uLCAxOTgyLTIwMTc8L3RpdGxlPgogIDwvdGl0bGVzPgogIDxkZXNjcmlwdGlvbnM+CiAgICA8ZGVzY3JpcHRpb24gZGVzY3JpcHRpb25UeXBlPSJBYnN0cmFjdCI+Jmx0O3AmZ3Q7VGhpcyBkYXRhc2V0IHByb3ZpZGVzIDgtZGF5IGdsb2JhbCBncm9zcwpwcmltYXJ5IHByb2R1Y3Rpb24gKEdQUCkgYXQgMC4wNcKwIGxhdGl0dWRlIGJ5IDAuMDXCsCBsb25naXR1ZGUgZm9yIDE5ODItMjAxNy4mbHQ7L3AmZ3Q7CgombHQ7cCZndDsgJmx0Oy9wJmd0OwoKJmx0O3AmZ3Q7KDEpICAgCk1vZGVsIGRlc2NyaXB0aW9uIGFuZApwZXJmb3JtYW5jZSZsdDsvcCZndDsKCiZsdDtwJmd0O1RoZSBHUFAgZGF0YXNldCB3YXMgZ2VuZXJhdGVkIGJ5IHRoZQpyZXZpc2VkIEVDLUxVRSBtb2RlbCBieSBpbnRlZ3JhdGluZyB0aGUgcmVndWxhdGlvbnMgb2Ygc2V2ZXJhbCBtYWpvcgplbnZpcm9ubWVudGFsIHZhcmlhYmxlczogYXRtb3NwaGVyaWMgQ08yIGNvbmNlbnRyYXRpb24sIHJhZGlhdGlvbiBjb21wb25lbnRzCihpLmUuLCBkaXJlY3QgYW5kIGRpZmZ1c2UgcmFkaWF0aW9ucyksIGFuZCBhdG1vc3BoZXJpYyB2YXBvciBwcmVzc3VyZSBkZWZpY2l0CihWUEQpLiBUaGUgcmV2aXNlZCBFQy1MVUUgcGVyZm9ybWVkIHdlbGwgaW4gc2ltdWxhdGluZyB0aGUgc3BhdGlhbCwgc2Vhc29uYWwsCmFuZCBpbnRlcmFubnVhbCB2YXJpYXRpb25zIGluIGdsb2JhbCBHUFAuIFBhcnRpY3VsYXJseSwgaXQgaGFzIGEgdW5pcXVlCnN1cGVyaW9yaXR5IGluIHJlcHJvZHVjaW5nIHRoZSBpbnRlcmFubnVhbCB2YXJpYXRpb25zIGluIEdQUCBhdCBib3RoIHNpdGUgbGV2ZWwKYW5kIGdsb2JhbCBzY2FsZXMuJmx0Oy9wJmd0OwoKJmx0O3AmZ3Q7ICZsdDsvcCZndDsKCiZsdDtwJmd0OygyKSAgIApEYXRhc2V0IGluZm9ybWF0aW9uJmx0Oy9wJmd0OwoKJmx0O3AmZ3Q7RWFjaCAuemlwIGZpbGUgY29udGFpbnMgYWxsIHRoZSA4LWRheSBHUFAgb2YKYSB5ZWFyIGF0IGRhaWx5IHZhbHVlLiBUbyBvYnRhaW4gdGhlIHN1bW1hdGlvbiBvZiBlYWNoIDgtZGF5IChvciA1LWRheSBvcgo2LWRheSkgcGVyaW9kLCBwbGVhc2UgbXVsdGlwbHkgdGhlIEdQUCB2YWx1ZSBieSBjb3JyZXNwb25kaW5nIGRheXMgKDggZm9yIHRoZQpmaXJzdCA0NSB2YWx1ZXMsIGFuZCA1IG9yIDYgZm9yIHRoZSBsYXN0IHZhbHVlKS4mbHQ7L3AmZ3Q7CgombHQ7cCZndDsgJmx0Oy9wJmd0OwoKJmx0O3AmZ3Q7RGF0YSBmb3JtYXQ6IEhERiZsdDsvcCZndDsKCiZsdDtwJmd0O1NwYXRpYWwgZXh0ZW50OiA5MFMtOTBOICAgMTgwVy0xODBFJmx0Oy9wJmd0OwoKJmx0O3AmZ3Q7RmlsbCB2YWx1ZTogNjU1MzUmbHQ7L3AmZ3Q7CgombHQ7cCZndDtTY2FsZSBmYWN0b3I6IDAuMDEmbHQ7L3AmZ3Q7CgombHQ7cCZndDtVbml0OiBnIEMgbSZsdDtzdXAmZ3Q7LTImbHQ7L3N1cCZndDsgZGF5Jmx0O3N1cCZndDstMSZsdDsvc3VwJmd0OyZsdDsvcCZndDsKCiZsdDtwJmd0OyAmbHQ7L3AmZ3Q7CgombHQ7cCZndDtBbnkgcXVlc3Rpb25zIGFib3V0IHRoZSBHUFAgZGF0YXNldCBjYW4gYmUKY29ycmVzcG9uZGVkIHRvIHl1YW53cGNuQDEyNi5jb20gKFdlbnBpbmcgWXVhbikuJmx0Oy9wJmd0OzwvZGVzY3JpcHRpb24+CiAgPC9kZXNjcmlwdGlvbnM+CiAgPHN1YmplY3RzPgogICAgPHN1YmplY3Qgc2NoZW1lVVJJPSJodHRwOi8vd3d3LmFicy5nb3YuYXUvYXVzc3RhdHMvYWJzQC5uc2YvMC82QkI0MjdBQjk2OTZDMjI1Q0EyNTc0MTgwMDA0NDYzRSIgc3ViamVjdFNjaGVtZ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