{"data":{"id":"10.6084/m9.figshare.7633598.v1","type":"dois","attributes":{"doi":"10.6084/m9.figshare.7633598.v1","prefix":"10.6084","suffix":"m9.figshare.7633598.v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Cueva, Alejandro","nameType":"Personal","givenName":"Alejandro","familyName":"Cueva","affiliation":[],"nameIdentifiers":[]},{"name":"Bullock, Stephen H.","nameType":"Personal","givenName":"Stephen H.","familyName":"Bullock","affiliation":[],"nameIdentifiers":[]},{"name":"López-Reyes, Eulogio","nameType":"Personal","givenName":"Eulogio","familyName":"López-Reyes","affiliation":[],"nameIdentifiers":[]},{"name":"Méndez-Alonzo, Rodrigo","nameType":"Personal","givenName":"Rodrigo","familyName":"Méndez-Alonzo","affiliation":[],"nameIdentifiers":[]},{"name":"Vargas, Rodrigo","nameType":"Personal","givenName":"Rodrigo","familyName":"Vargas","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Phenocam data from El Mogor, Baja California, Mexico, 2016"}],"publisher":"figshare","container":{},"publicationYear":2019,"subjects":[{"subject":"50301 Carbon Sequestration Science","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":"FOS: Agriculture, forestry and fisheries","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"50102 Ecosystem Function","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":"Environmental Science"}],"contributors":[],"dates":[{"date":"2019-03-08","dateType":"Created"},{"date":"2019-03-08","dateType":"Updated"},{"date":"2019","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsIdenticalTo","relatedIdentifier":"10.6084/m9.figshare.7633598","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["2333483 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 daily observations of greenness index (I\u003csub\u003eg\u003c/sub\u003e), from three wildlife cameras (M-550, Moultrie) for the year of 2016, at the study site of El Mogor, Baja California, Mexico (32.03017 N, 116.604219, 406 m asl). Vegetation at El Mogor is a mixture of chaparral and less-sclerophyllous species, including \u003ci\u003eOrnithostaphylos oppositifolia\u003c/i\u003e, \u003ci\u003eEriogonum fasciculatum\u003c/i\u003e, \u003ci\u003eAdenostoma fasciculatum\u003c/i\u003e, \u003ci\u003eXylococcus bicolor\u003c/i\u003e and \u003ci\u003eMalosma laurina\u003c/i\u003e. The study site was burned in 1988 and has been recovering since then. El Mogor is a MexFlux site (MX-EMg; https://ameriflux.lbl.gov/sites/siteinfo/MX-EMg), equiped with an eddy covariance tower. The cameras were static, oriented in parallel with the soil surface, facing north, at ~1.5 m aboveground. Each camera works with eight AA-batteries, and are equipped with 16 GB SD-memory cards. Each camera took photographs in 30-minute intervals between 4:00 and 19:30 PST in a daily manner, but I\u003csub\u003eg\u003c/sub\u003e was estimated using only photographs taken between 11:00 and 15:00 PST. Resolution of the photographs is 2304x1728 pixels. The image analysis included the definition of the region of the interest (ROI). From each pixel within the ROIs, the digital signature of the intensity of red, green, and blue were extracted and averaged on a per-day basis. Each digital signature has values of 0 to 255. To analyze the photographs, we used the Matlab-based PhenoCam GUI software, available from the PhenoCam Network (https://phenocam.sr.unh.edu/webcam/tools/). The greenness index is estimated as [I\u003csub\u003eg\u003c/sub\u003e = Green/(Red + Green + Blue)].\u003cbr\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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