Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan: Section 6

Name: Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environmen...
Creator: usaid-gov
Published: 2018-11-12T06:41:52

In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the sixth spreadsheet of six in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan.

Columns

Name	Socrata field name	Column name in `sgr mount`	Data type
1002.29	_1002_29	_1002_29	Number
987.11	_987_11	_987_11	Number
957.97	_957_97	_957_97	Number
999.73	_999_73	_999_73	Number
959.15	_959_15	_959_15	Number
1011.93	_1011_93	_1011_93	Number
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1024.56	_1024_56	_1024_56	Number
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963.26	_963_26	_963_26	Number
989.13	_989_13	_989_13	Number
1007.97	_1007_97	_1007_97	Number
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1010.8	_1010_8	_1010_8	Number
992	_992	_992	Number
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970	_970	_970	Number
951.77	_951_77	_951_77	Number
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962.09	_962_09	_962_09	Number
956.2	_956_2	_956_2	Number
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953.24	_953_24	_953_24	Number
998.87	_998_87	_998_87	Number
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955.31	_955_31	_955_31	Number
994.58	_994_58	_994_58	Number
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965.32	_965_32	_965_32	Number
973.79	_973_79	_973_79	Number
1017.56	_1017_56	_1017_56	Number
998.01	_998_01	_998_01	Number
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1018.68	_1018_68	_1018_68	Number
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1013.34	_1013_34	_1013_34	Number
1023.17	_1023_17	_1023_17	Number
970.87	_970_87	_970_87	Number
1025.96	_1025_96	_1025_96	Number
963.85	_963_85	_963_85	Number
963.56	_963_56	_963_56	Number
1017.28	_1017_28	_1017_28	Number
1009.38	_1009_38	_1009_38	Number
979.6	_979_6	_979_6	Number
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1012.21	_1012_21	_1012_21	Number
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979.02	_979_02	_979_02	Number
1026.79	_1026_79	_1026_79	Number
954.13	_954_13	_954_13	Number
1000.58	_1000_58	_1000_58	Number
952.36	_952_36	_952_36	Number
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960.32	_960_32	_960_32	Number
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954.43	_954_43	_954_43	Number
1022.61	_1022_61	_1022_61	Number
967.07	_967_07	_967_07	Number
964.14	_964_14	_964_14	Number
1018.12	_1018_12	_1018_12	Number
985.67	_985_67	_985_67	Number
1027.35	_1027_35	_1027_35	Number
996.87	_996_87	_996_87	Number
1012.78	_1012_78	_1012_78	Number
981.63	_981_63	_981_63	Number
961.5	_961_5	_961_5	Number
1027.07	_1027_07	_1027_07	Number
949.99	_949_99	_949_99	Number
1007.12	_1007_12	_1007_12	Number
969.41	_969_41	_969_41	Number
1023.45	_1023_45	_1023_45	Number
990.57	_990_57	_990_57	Number
968.83	_968_83	_968_83	Number
957.08	_957_08	_957_08	Number
950.88	_950_88	_950_88	Number
994.01	_994_01	_994_01	Number
956.49	_956_49	_956_49	Number
1006.27	_1006_27	_1006_27	Number
965.61	_965_61	_965_61	Number
999.44	_999_44	_999_44	Number
978.73	_978_73	_978_73	Number
992.29	_992_29	_992_29	Number
964.73	_964_73	_964_73	Number
972.91	_972_91	_972_91	Number
967.37	_967_37	_967_37	Number
998.3	_998_3	_998_3	Number
1010.52	_1010_52	_1010_52	Number
973.21	_973_21	_973_21	Number
1005.99	_1005_99	_1005_99	Number
952.06	_952_06	_952_06	Number
953.84	_953_84	_953_84	Number
972.62	_972_62	_972_62	Number
958.56	_958_56	_958_56	Number
950.58	_950_58	_950_58	Number
978.44	_978_44	_978_44	Number
1014.18	_1014_18	_1014_18	Number
976.12	_976_12	_976_12	Number
1003.71	_1003_71	_1003_71	Number
975.53	_975_53	_975_53	Number
1011.65	_1011_65	_1011_65	Number
988.55	_988_55	_988_55	Number
970.29	_970_29	_970_29	Number
975.82	_975_82	_975_82	Number
971.75	_971_75	_971_75	Number
959.44	_959_44	_959_44	Number
992.58	_992_58	_992_58	Number
1019.25	_1019_25	_1019_25	Number
993.72	_993_72	_993_72	Number
983.36	_983_36	_983_36	Number
project	project	project	Text
1009.1	_1009_1	_1009_1	Number
1025.4	_1025_4	_1025_4	Number
995.73	_995_73	_995_73	Number
1004.28	_1004_28	_1004_28	Number
1004.57	_1004_57	_1004_57	Number
978.15	_978_15	_978_15	Number
1026.24	_1026_24	_1026_24	Number
960.91	_960_91	_960_91	Number
1000.3	_1000_3	_1000_3	Number
1013.06	_1013_06	_1013_06	Number
1019.81	_1019_81	_1019_81	Number
984.23	_984_23	_984_23	Number
1009.67	_1009_67	_1009_67	Number
1006.84	_1006_84	_1006_84	Number
1015.87	_1015_87	_1015_87	Number
1020.65	_1020_65	_1020_65	Number
1005.42	_1005_42	_1005_42	Number
982.2	_982_2	_982_2	Number
1014.47	_1014_47	_1014_47	Number
972.33	_972_33	_972_33	Number
1017.84	_1017_84	_1017_84	Number
958.26	_958_26	_958_26	Number
1008.25	_1008_25	_1008_25	Number
996.01	_996_01	_996_01	Number
964.44	_964_44	_964_44	Number
997.44	_997_44	_997_44	Number
988.26	_988_26	_988_26	Number
989.7	_989_7	_989_7	Number
974.37	_974_37	_974_37	Number
1015.03	_1015_03	_1015_03	Number
1002.86	_1002_86	_1002_86	Number
954.72	_954_72	_954_72	Number
1002.01	_1002_01	_1002_01	Number
1009.95	_1009_95	_1009_95	Number
976.7	_976_7	_976_7	Number
1021.21	_1021_21	_1021_21	Number
989.99	_989_99	_989_99	Number
1004.85	_1004_85	_1004_85	Number
967.95	_967_95	_967_95	Number
983.65	_983_65	_983_65	Number
1020.93	_1020_93	_1020_93	Number
966.49	_966_49	_966_49	Number
957.38	_957_38	_957_38	Number
1000.01	_1000_01	_1000_01	Number
974.08	_974_08	_974_08	Number
1021.77	_1021_77	_1021_77	Number
998.59	_998_59	_998_59	Number
1007.69	_1007_69	_1007_69	Number
959.74	_959_74	_959_74	Number
974.95	_974_95	_974_95	Number
966.78	_966_78	_966_78	Number
953.54	_953_54	_953_54	Number
1016.44	_1016_44	_1016_44	Number
1027.63	_1027_63	_1027_63	Number
967.66	_967_66	_967_66	Number
981.34	_981_34	_981_34	Number
971.46	_971_46	_971_46	Number
1019.53	_1019_53	_1019_53	Number
979.31	_979_31	_979_31	Number
1011.08	_1011_08	_1011_08	Number
997.73	_997_73	_997_73	Number
956.79	_956_79	_956_79	Number
962.97	_962_97	_962_97	Number
960.62	_960_62	_960_62	Number
1008.82	_1008_82	_1008_82	Number
955.02	_955_02	_955_02	Number
1002.58	_1002_58	_1002_58	Number
1004	_1004	_1004	Number
960.03	_960_03	_960_03	Number
966.19	_966_19	_966_19	Number
991.71	_991_71	_991_71	Number
952.95	_952_95	_952_95	Number
996.59	_996_59	_996_59	Number
990.85	_990_85	_990_85	Number
983.94	_983_94	_983_94	Number
973.5	_973_5	_973_5	Number
1026.52	_1026_52	_1026_52	Number
1024	_1024	_1024	Number
1005.7	_1005_7	_1005_7	Number
1022.05	_1022_05	_1022_05	Number
996.3	_996_3	_996_3	Number
1011.36	_1011_36	_1011_36	Number
962.68	_962_68	_962_68	Number
958.85	_958_85	_958_85	Number
1020.37	_1020_37	_1020_37	Number
1016.16	_1016_16	_1016_16	Number
993.44	_993_44	_993_44	Number
1007.4	_1007_4	_1007_4	Number
990.28	_990_28	_990_28	Number
995.15	_995_15	_995_15	Number
962.38	_962_38	_962_38	Number
997.16	_997_16	_997_16	Number
991.43	_991_43	_991_43	Number
957.67	_957_67	_957_67	Number
993.15	_993_15	_993_15	Number
955.61	_955_61	_955_61	Number
980.18	_980_18	_980_18	Number
949.69	_949_69	_949_69	Number
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950.28	_950_28	_950_28	Number
986.82	_986_82	_986_82	Number
1023.72	_1023_72	_1023_72	Number
992.86	_992_86	_992_86	Number
1001.15	_1001_15	_1001_15	Number
987.4	_987_4	_987_4	Number
1024.84	_1024_84	_1024_84	Number
1003.14	_1003_14	_1003_14	Number
994.87	_994_87	_994_87	Number
971.16	_971_16	_971_16	Number
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980.47	_980_47	_980_47	Number
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961.79	_961_79	_961_79	Number
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1021.49	_1021_49	_1021_49	Number
1001.44	_1001_44	_1001_44	Number
1013.62	_1013_62	_1013_62	Number
989.42	_989_42	_989_42	Number
994.3	_994_3	_994_3	Number
1027.91	_1027_91	_1027_91	Number
961.21	_961_21	_961_21	Number
981.92	_981_92	_981_92	Number
995.44	_995_44	_995_44	Number
1016.72	_1016_72	_1016_72	Number
972.04	_972_04	_972_04	Number

Upstream Metadata

Common CoreLanguageen-USpublisherUSAIDBureau Code184:15Last Update2017-07-15Program Code184:029Access Level CommentUnder the terms of an agreement with USAID, a partner owns data it collects. Under the authority of the license partners grant to USAID, USAID posts the data with a CC-BY license providing attribution to the partner.

Embargo RequestEmbargo Requested?no

Research FieldsInformed consent obtained?Not specifiedIs this Federally funded research?yesDoes this dataset contain information on human subjects?no

Data Asset ProfileCountriesMexicoIs CertifiedtrueIs ClassifiednoUSAID InitiativeFeed the FutureGender DisaggregationNot specifiedProgram Cycle ComponentNot specifiedIndividual Dataset AuthorUS Borlaug Fellows in Global Food SecuritySustainable Development GoalNot specified

Submission ProfileAward NumberBFS-G-11-00002COR/AOR NameClara CohenCOR/AOR Emailccohen@usaid.govSubmitter Work Emailjonluetchens@gmail.comAward Completion DateNot specifiedOperating Unit of OriginBureau for Food SecurityUSAID Alternate Contact NameKaren DucaUSAID Alternate Contact Emailkduca@usaid.govSubmitting Organization DUNS NumberNot specified

Proposed Access LevelProposed Access LevelPublic

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Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environmen...

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USAID Data Services - Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan: Section 6

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Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan: Section 6

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Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan: Section 6

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