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f | 1 | { | f | 1 | { |
2 | "author": "Fang Hongliang", | 2 | "author": "Fang Hongliang", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.1594/PANGAEA.939444", | 5 | "doi": "10.1594/PANGAEA.939444", | ||
6 | "doi_date_published": "2021", | 6 | "doi_date_published": "2021", | ||
7 | "doi_publisher": "", | 7 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 8 | "doi_status": "True", | ||
9 | "groups": [], | 9 | "groups": [], | ||
10 | "id": "c6edc94a-0966-4e75-a784-0d60038badb9", | 10 | "id": "c6edc94a-0966-4e75-a784-0d60038badb9", | ||
11 | "isopen": false, | 11 | "isopen": false, | ||
12 | "license_id": "CC-BY-4.0", | 12 | "license_id": "CC-BY-4.0", | ||
13 | "license_title": "CC-BY-4.0", | 13 | "license_title": "CC-BY-4.0", | ||
14 | "metadata_created": "2023-01-12T13:31:22.398198", | 14 | "metadata_created": "2023-01-12T13:31:22.398198", | ||
t | 15 | "metadata_modified": "2023-08-04T09:32:49.777515", | t | 15 | "metadata_modified": "2023-08-04T09:33:49.667600", |
16 | "name": "png-doi-10-1594-pangaea-939444", | 16 | "name": "png-doi-10-1594-pangaea-939444", | ||
17 | "notes": "Field measured structural variables, particularly | 17 | "notes": "Field measured structural variables, particularly | ||
18 | continuous in-situ data are pivotal for mechanism study and remote | 18 | continuous in-situ data are pivotal for mechanism study and remote | ||
19 | sensing validation. Multiple continuous field measurement campains | 19 | sensing validation. Multiple continuous field measurement campains | ||
20 | were conducted in northeastern China crop fields: Honghe (2012, 2013, | 20 | were conducted in northeastern China crop fields: Honghe (2012, 2013, | ||
21 | 2019) and Hailun (2016) . The Honghe site (47.65\u00b0N, | 21 | 2019) and Hailun (2016) . The Honghe site (47.65\u00b0N, | ||
22 | 133.51\u00b0E) is covered with large homogeneous paddy rice and the | 22 | 133.51\u00b0E) is covered with large homogeneous paddy rice and the | ||
23 | Hailun site (47.41\u00b0N, 126.82\u00b0E) is planted with maize, | 23 | Hailun site (47.41\u00b0N, 126.82\u00b0E) is planted with maize, | ||
24 | sorghum, and soybean. Continuous measurements were made throughout | 24 | sorghum, and soybean. Continuous measurements were made throughout | ||
25 | almost the entire growing season, ranging from day of year (DOY) 160 | 25 | almost the entire growing season, ranging from day of year (DOY) 160 | ||
26 | to 280. For each site, five plots were selected. Typically, four | 26 | to 280. For each site, five plots were selected. Typically, four | ||
27 | elemental sampling units (approximately 15 m*15 m) were sampled for | 27 | elemental sampling units (approximately 15 m*15 m) were sampled for | ||
28 | each plot to reduce random sampling error. Destructive sampling, | 28 | each plot to reduce random sampling error. Destructive sampling, | ||
29 | Digital hemispheric photography (DHP), LAI-2200 canopy analyzer, and | 29 | Digital hemispheric photography (DHP), LAI-2200 canopy analyzer, and | ||
30 | AccuPAR meausrements were carried out in the field measurement | 30 | AccuPAR meausrements were carried out in the field measurement | ||
31 | simultaneously. The green leaf area index (GAI), yellow leaf area | 31 | simultaneously. The green leaf area index (GAI), yellow leaf area | ||
32 | index (YAI), and plant area index (PAI, including the area of leaf, | 32 | index (YAI), and plant area index (PAI, including the area of leaf, | ||
33 | stem, and ear) were measured with destructive sampling. The effective | 33 | stem, and ear) were measured with destructive sampling. The effective | ||
34 | leaf area index (LAIeff), leaf area index (LAI), fractional of | 34 | leaf area index (LAIeff), leaf area index (LAI), fractional of | ||
35 | vegetation cover (FCOVER), and clumping index (CI) were derived from | 35 | vegetation cover (FCOVER), and clumping index (CI) were derived from | ||
36 | DHP and LAI-2200. Since DHP and LAI-2200 cannot separate the stem from | 36 | DHP and LAI-2200. Since DHP and LAI-2200 cannot separate the stem from | ||
37 | leaf, the LAI obtained from DHP and LAI-2200 can be regarded as the | 37 | leaf, the LAI obtained from DHP and LAI-2200 can be regarded as the | ||
38 | PAI. The fraction of absorbed photosynthetically active radiation | 38 | PAI. The fraction of absorbed photosynthetically active radiation | ||
39 | (FAPAR) was measured with AccuPAR using the four flux method. | 39 | (FAPAR) was measured with AccuPAR using the four flux method. | ||
40 | High-resolution LAI reference maps of these sites were also produced | 40 | High-resolution LAI reference maps of these sites were also produced | ||
41 | from cloud-free HJ-1 (30 m), Landsat 7 ETM+ (30 m), and Sentinel-2A | 41 | from cloud-free HJ-1 (30 m), Landsat 7 ETM+ (30 m), and Sentinel-2A | ||
42 | MSI (20 m) images. The HJ-1 images were rectified to the Landsat 7 | 42 | MSI (20 m) images. The HJ-1 images were rectified to the Landsat 7 | ||
43 | ETM+ images and were atmospherically corrected and transformed to | 43 | ETM+ images and were atmospherically corrected and transformed to | ||
44 | surface reflectance data. The high-resolution reference LAI was | 44 | surface reflectance data. The high-resolution reference LAI was | ||
45 | derived from surface reflectance using the look-up table approach | 45 | derived from surface reflectance using the look-up table approach | ||
46 | based on the ACRM model simulation. The reference LAI shows high | 46 | based on the ACRM model simulation. The reference LAI shows high | ||
47 | consistency with field LAI (R2=0.85, bias=0.22, and RMSE=0.66). The | 47 | consistency with field LAI (R2=0.85, bias=0.22, and RMSE=0.66). The | ||
48 | reference LAI mean and standard deviation values within an extent of 3 | 48 | reference LAI mean and standard deviation values within an extent of 3 | ||
49 | km * 3 km in each site were extracted and provided in the dataset. The | 49 | km * 3 km in each site were extracted and provided in the dataset. The | ||
50 | dataset is useful for the study of vegetation structural parameters | 50 | dataset is useful for the study of vegetation structural parameters | ||
51 | and the validation of remote sensing products.", | 51 | and the validation of remote sensing products.", | ||
52 | "num_resources": 0, | 52 | "num_resources": 0, | ||
53 | "num_tags": 5, | 53 | "num_tags": 5, | ||
54 | "orcid": "0000-0002-6345-1197", | 54 | "orcid": "0000-0002-6345-1197", | ||
55 | "organization": { | 55 | "organization": { | ||
56 | "approval_status": "approved", | 56 | "approval_status": "approved", | ||
57 | "created": "2023-08-04T09:32:38.098376", | 57 | "created": "2023-08-04T09:32:38.098376", | ||
58 | "description": "PANGAEA (Data Publisher for Earth & Environmental | 58 | "description": "PANGAEA (Data Publisher for Earth & Environmental | ||
59 | Science): The information system PANGAEA is operated as an Open Access | 59 | Science): The information system PANGAEA is operated as an Open Access | ||
60 | library aimed at archiving, publishing and distributing georeferenced | 60 | library aimed at archiving, publishing and distributing georeferenced | ||
61 | data from earth system research. PANGAEA guarantees long-term | 61 | data from earth system research. PANGAEA guarantees long-term | ||
62 | availability (greater than 10 years) of its content. PANGAEA is open | 62 | availability (greater than 10 years) of its content. PANGAEA is open | ||
63 | to any project, institution, or individual scientist to use or to | 63 | to any project, institution, or individual scientist to use or to | ||
64 | archive and publish data. PANGAEA focuses on georeferenced | 64 | archive and publish data. PANGAEA focuses on georeferenced | ||
65 | observational data, experimental data, and models/simulations. | 65 | observational data, experimental data, and models/simulations. | ||
66 | Citability, comprehensive metadata descriptions, interoperability of | 66 | Citability, comprehensive metadata descriptions, interoperability of | ||
67 | data and metadata, a high degree of structural and semantic | 67 | data and metadata, a high degree of structural and semantic | ||
68 | harmonization of the data inventory as well as the commitment of the | 68 | harmonization of the data inventory as well as the commitment of the | ||
69 | hosting institutions ensures FAIRness of archived data.", | 69 | hosting institutions ensures FAIRness of archived data.", | ||
70 | "id": "93da141a-dc26-4ce9-bff3-b2b283505dcc", | 70 | "id": "93da141a-dc26-4ce9-bff3-b2b283505dcc", | ||
71 | "image_url": "pangea-logo.png", | 71 | "image_url": "pangea-logo.png", | ||
72 | "is_organization": true, | 72 | "is_organization": true, | ||
73 | "name": "pangaea", | 73 | "name": "pangaea", | ||
74 | "state": "active", | 74 | "state": "active", | ||
75 | "title": "PANGAEA (Agriculture)", | 75 | "title": "PANGAEA (Agriculture)", | ||
76 | "type": "organization" | 76 | "type": "organization" | ||
77 | }, | 77 | }, | ||
78 | "owner_org": "93da141a-dc26-4ce9-bff3-b2b283505dcc", | 78 | "owner_org": "93da141a-dc26-4ce9-bff3-b2b283505dcc", | ||
79 | "private": false, | 79 | "private": false, | ||
80 | "publication_year": "2021", | 80 | "publication_year": "2021", | ||
81 | "related_identifiers": [ | 81 | "related_identifiers": [ | ||
82 | { | 82 | { | ||
83 | "authors": "Fang Hongliang,Li Wenjuan,Wei Shanshan,Jiang | 83 | "authors": "Fang Hongliang,Li Wenjuan,Wei Shanshan,Jiang | ||
84 | Chongya,Fang Hongliang,Ye Yongchang,Liu Weiwei,Wei Shanshan,Ma Li,Fang | 84 | Chongya,Fang Hongliang,Ye Yongchang,Liu Weiwei,Wei Shanshan,Ma Li,Fang | ||
85 | Hongliang,Zhang Y,Wei Shanshan,Li Wenjuan,Ye Yongchang,Sun Tao,Liu | 85 | Hongliang,Zhang Y,Wei Shanshan,Li Wenjuan,Ye Yongchang,Sun Tao,Liu | ||
86 | Weiwei,Zhang Y,Fang Hongliang,Wang Yaoyao,Li Sijia", | 86 | Weiwei,Zhang Y,Fang Hongliang,Wang Yaoyao,Li Sijia", | ||
87 | "email_authors": | 87 | "email_authors": | ||
88 | n,,,,,,fanghl@lreis.ac.cn,w_yaoyao0707@163.com,lisj.19b@igsnrr.ac.cn", | 88 | n,,,,,,fanghl@lreis.ac.cn,w_yaoyao0707@163.com,lisj.19b@igsnrr.ac.cn", | ||
89 | "identifier": "https://doi.org/10.1016/j.agrformet.2014.08.005", | 89 | "identifier": "https://doi.org/10.1016/j.agrformet.2014.08.005", | ||
90 | "identifier_type": "DOI", | 90 | "identifier_type": "DOI", | ||
91 | "orcid_authors": | 91 | "orcid_authors": | ||
92 | 331-1246,0000-0002-6345-1197,0000-0003-4432-1335,0000-0003-2960-8207", | 92 | 331-1246,0000-0002-6345-1197,0000-0003-4432-1335,0000-0003-2960-8207", | ||
93 | "relation_type": "References", | 93 | "relation_type": "References", | ||
94 | "source": "Agricultural and Forest Meteorology", | 94 | "source": "Agricultural and Forest Meteorology", | ||
95 | "title": "Seasonal variation of leaf area index (LAI) over paddy | 95 | "title": "Seasonal variation of leaf area index (LAI) over paddy | ||
96 | rice fields in NE China: Intercomparison of destructive sampling, | 96 | rice fields in NE China: Intercomparison of destructive sampling, | ||
97 | LAI-2200, digital hemispherical photography (DHP), and AccuPAR | 97 | LAI-2200, digital hemispherical photography (DHP), and AccuPAR | ||
98 | methods", | 98 | methods", | ||
99 | "year": "2014" | 99 | "year": "2014" | ||
100 | }, | 100 | }, | ||
101 | { | 101 | { | ||
102 | "authors": "Fang Hongliang,Li Wenjuan,Wei Shanshan,Jiang | 102 | "authors": "Fang Hongliang,Li Wenjuan,Wei Shanshan,Jiang | ||
103 | Chongya,Fang Hongliang,Ye Yongchang,Liu Weiwei,Wei Shanshan,Ma Li,Fang | 103 | Chongya,Fang Hongliang,Ye Yongchang,Liu Weiwei,Wei Shanshan,Ma Li,Fang | ||
104 | Hongliang,Zhang Y,Wei Shanshan,Li Wenjuan,Ye Yongchang,Sun Tao,Liu | 104 | Hongliang,Zhang Y,Wei Shanshan,Li Wenjuan,Ye Yongchang,Sun Tao,Liu | ||
105 | Weiwei,Zhang Y,Fang Hongliang,Wang Yaoyao,Li Sijia", | 105 | Weiwei,Zhang Y,Fang Hongliang,Wang Yaoyao,Li Sijia", | ||
106 | "email_authors": | 106 | "email_authors": | ||
107 | n,,,,,,fanghl@lreis.ac.cn,w_yaoyao0707@163.com,lisj.19b@igsnrr.ac.cn", | 107 | n,,,,,,fanghl@lreis.ac.cn,w_yaoyao0707@163.com,lisj.19b@igsnrr.ac.cn", | ||
108 | "identifier": "https://doi.org/10.1016/j.agrformet.2018.02.003", | 108 | "identifier": "https://doi.org/10.1016/j.agrformet.2018.02.003", | ||
109 | "identifier_type": "DOI", | 109 | "identifier_type": "DOI", | ||
110 | "orcid_authors": | 110 | "orcid_authors": | ||
111 | 331-1246,0000-0002-6345-1197,0000-0003-4432-1335,0000-0003-2960-8207", | 111 | 331-1246,0000-0002-6345-1197,0000-0003-4432-1335,0000-0003-2960-8207", | ||
112 | "relation_type": "References", | 112 | "relation_type": "References", | ||
113 | "source": "Agricultural and Forest Meteorology", | 113 | "source": "Agricultural and Forest Meteorology", | ||
114 | "title": "Continuous estimation of canopy leaf area index (LAI) | 114 | "title": "Continuous estimation of canopy leaf area index (LAI) | ||
115 | and clumping index over broadleaf crop fields: An investigation of the | 115 | and clumping index over broadleaf crop fields: An investigation of the | ||
116 | PASTIS-57 instrument and smartphone applications", | 116 | PASTIS-57 instrument and smartphone applications", | ||
117 | "year": "2018" | 117 | "year": "2018" | ||
118 | }, | 118 | }, | ||
119 | { | 119 | { | ||
120 | "authors": "Fang Hongliang,Li Wenjuan,Wei Shanshan,Jiang | 120 | "authors": "Fang Hongliang,Li Wenjuan,Wei Shanshan,Jiang | ||
121 | Chongya,Fang Hongliang,Ye Yongchang,Liu Weiwei,Wei Shanshan,Ma Li,Fang | 121 | Chongya,Fang Hongliang,Ye Yongchang,Liu Weiwei,Wei Shanshan,Ma Li,Fang | ||
122 | Hongliang,Zhang Y,Wei Shanshan,Li Wenjuan,Ye Yongchang,Sun Tao,Liu | 122 | Hongliang,Zhang Y,Wei Shanshan,Li Wenjuan,Ye Yongchang,Sun Tao,Liu | ||
123 | Weiwei,Zhang Y,Fang Hongliang,Wang Yaoyao,Li Sijia", | 123 | Weiwei,Zhang Y,Fang Hongliang,Wang Yaoyao,Li Sijia", | ||
124 | "email_authors": | 124 | "email_authors": | ||
125 | n,,,,,,fanghl@lreis.ac.cn,w_yaoyao0707@163.com,lisj.19b@igsnrr.ac.cn", | 125 | n,,,,,,fanghl@lreis.ac.cn,w_yaoyao0707@163.com,lisj.19b@igsnrr.ac.cn", | ||
126 | "identifier": "https://doi.org/10.1016/j.rse.2019.111377", | 126 | "identifier": "https://doi.org/10.1016/j.rse.2019.111377", | ||
127 | "identifier_type": "DOI", | 127 | "identifier_type": "DOI", | ||
128 | "orcid_authors": | 128 | "orcid_authors": | ||
129 | 331-1246,0000-0002-6345-1197,0000-0003-4432-1335,0000-0003-2960-8207", | 129 | 331-1246,0000-0002-6345-1197,0000-0003-4432-1335,0000-0003-2960-8207", | ||
130 | "relation_type": "References", | 130 | "relation_type": "References", | ||
131 | "source": "Remote Sensing of Environment", | 131 | "source": "Remote Sensing of Environment", | ||
132 | "title": "Validation of global moderate resolution leaf area | 132 | "title": "Validation of global moderate resolution leaf area | ||
133 | index (LAI) products over croplands in northeastern China", | 133 | index (LAI) products over croplands in northeastern China", | ||
134 | "year": "2019" | 134 | "year": "2019" | ||
135 | }, | 135 | }, | ||
136 | { | 136 | { | ||
137 | "authors": "Fang Hongliang,Li Wenjuan,Wei Shanshan,Jiang | 137 | "authors": "Fang Hongliang,Li Wenjuan,Wei Shanshan,Jiang | ||
138 | Chongya,Fang Hongliang,Ye Yongchang,Liu Weiwei,Wei Shanshan,Ma Li,Fang | 138 | Chongya,Fang Hongliang,Ye Yongchang,Liu Weiwei,Wei Shanshan,Ma Li,Fang | ||
139 | Hongliang,Zhang Y,Wei Shanshan,Li Wenjuan,Ye Yongchang,Sun Tao,Liu | 139 | Hongliang,Zhang Y,Wei Shanshan,Li Wenjuan,Ye Yongchang,Sun Tao,Liu | ||
140 | Weiwei,Zhang Y,Fang Hongliang,Wang Yaoyao,Li Sijia", | 140 | Weiwei,Zhang Y,Fang Hongliang,Wang Yaoyao,Li Sijia", | ||
141 | "email_authors": | 141 | "email_authors": | ||
142 | n,,,,,,fanghl@lreis.ac.cn,w_yaoyao0707@163.com,lisj.19b@igsnrr.ac.cn", | 142 | n,,,,,,fanghl@lreis.ac.cn,w_yaoyao0707@163.com,lisj.19b@igsnrr.ac.cn", | ||
143 | "identifier": "https://doi.org/10.1016/j.agrformet.2021.108535", | 143 | "identifier": "https://doi.org/10.1016/j.agrformet.2021.108535", | ||
144 | "identifier_type": "DOI", | 144 | "identifier_type": "DOI", | ||
145 | "orcid_authors": | 145 | "orcid_authors": | ||
146 | 331-1246,0000-0002-6345-1197,0000-0003-4432-1335,0000-0003-2960-8207", | 146 | 331-1246,0000-0002-6345-1197,0000-0003-4432-1335,0000-0003-2960-8207", | ||
147 | "relation_type": "References", | 147 | "relation_type": "References", | ||
148 | "source": "Agricultural and Forest Meteorology", | 148 | "source": "Agricultural and Forest Meteorology", | ||
149 | "title": "Variation of intra-daily instantaneous FAPAR estimated | 149 | "title": "Variation of intra-daily instantaneous FAPAR estimated | ||
150 | from the geostationary Himawari-8 AHI data", | 150 | from the geostationary Himawari-8 AHI data", | ||
151 | "year": "2021" | 151 | "year": "2021" | ||
152 | } | 152 | } | ||
153 | ], | 153 | ], | ||
154 | "relationships_as_object": [], | 154 | "relationships_as_object": [], | ||
155 | "relationships_as_subject": [], | 155 | "relationships_as_subject": [], | ||
156 | "repository_name": "PANGAEA (Data Publisher for Earth & | 156 | "repository_name": "PANGAEA (Data Publisher for Earth & | ||
157 | Environmental Science)", | 157 | Environmental Science)", | ||
158 | "resource_type": "", | 158 | "resource_type": "", | ||
159 | "resources": [], | 159 | "resources": [], | ||
160 | "services_used_list": "", | 160 | "services_used_list": "", | ||
161 | "source_metadata_created": "2021", | 161 | "source_metadata_created": "2021", | ||
162 | "source_metadata_modified": "", | 162 | "source_metadata_modified": "", | ||
163 | "state": "active", | 163 | "state": "active", | ||
164 | "subject_areas": [ | 164 | "subject_areas": [ | ||
165 | { | 165 | { | ||
166 | "subject_area_additional": "", | 166 | "subject_area_additional": "", | ||
167 | "subject_area_name": "Agriculture" | 167 | "subject_area_name": "Agriculture" | ||
168 | }, | 168 | }, | ||
169 | { | 169 | { | ||
170 | "subject_area_additional": "", | 170 | "subject_area_additional": "", | ||
171 | "subject_area_name": "Atmosphere" | 171 | "subject_area_name": "Atmosphere" | ||
172 | }, | 172 | }, | ||
173 | { | 173 | { | ||
174 | "subject_area_additional": "", | 174 | "subject_area_additional": "", | ||
175 | "subject_area_name": "Ecology" | 175 | "subject_area_name": "Ecology" | ||
176 | } | 176 | } | ||
177 | ], | 177 | ], | ||
178 | "tags": [ | 178 | "tags": [ | ||
179 | { | 179 | { | ||
180 | "display_name": "China crops", | 180 | "display_name": "China crops", | ||
181 | "id": "5871b7eb-676e-4d24-9e63-43a835bf77d4", | 181 | "id": "5871b7eb-676e-4d24-9e63-43a835bf77d4", | ||
182 | "name": "China crops", | 182 | "name": "China crops", | ||
183 | "state": "active", | 183 | "state": "active", | ||
184 | "vocabulary_id": null | 184 | "vocabulary_id": null | ||
185 | }, | 185 | }, | ||
186 | { | 186 | { | ||
187 | "display_name": "clumping indexCI", | 187 | "display_name": "clumping indexCI", | ||
188 | "id": "7320545e-71a5-4b73-89de-f1a5ab8913c7", | 188 | "id": "7320545e-71a5-4b73-89de-f1a5ab8913c7", | ||
189 | "name": "clumping indexCI", | 189 | "name": "clumping indexCI", | ||
190 | "state": "active", | 190 | "state": "active", | ||
191 | "vocabulary_id": null | 191 | "vocabulary_id": null | ||
192 | }, | 192 | }, | ||
193 | { | 193 | { | ||
194 | "display_name": "fraction of absorbed photosynthetically active | 194 | "display_name": "fraction of absorbed photosynthetically active | ||
195 | radiation FAPAR", | 195 | radiation FAPAR", | ||
196 | "id": "ce70b0d7-b301-4e26-899d-920a06fa4748", | 196 | "id": "ce70b0d7-b301-4e26-899d-920a06fa4748", | ||
197 | "name": "fraction of absorbed photosynthetically active | 197 | "name": "fraction of absorbed photosynthetically active | ||
198 | radiation FAPAR", | 198 | radiation FAPAR", | ||
199 | "state": "active", | 199 | "state": "active", | ||
200 | "vocabulary_id": null | 200 | "vocabulary_id": null | ||
201 | }, | 201 | }, | ||
202 | { | 202 | { | ||
203 | "display_name": "fractional of vegetation cover FCOVER", | 203 | "display_name": "fractional of vegetation cover FCOVER", | ||
204 | "id": "2ef5688a-f49b-46cc-8837-4d8f9fbee42d", | 204 | "id": "2ef5688a-f49b-46cc-8837-4d8f9fbee42d", | ||
205 | "name": "fractional of vegetation cover FCOVER", | 205 | "name": "fractional of vegetation cover FCOVER", | ||
206 | "state": "active", | 206 | "state": "active", | ||
207 | "vocabulary_id": null | 207 | "vocabulary_id": null | ||
208 | }, | 208 | }, | ||
209 | { | 209 | { | ||
210 | "display_name": "leaf area indexLAI", | 210 | "display_name": "leaf area indexLAI", | ||
211 | "id": "0a0f6774-d7ea-4e88-ab8f-9fe23c0bbaa1", | 211 | "id": "0a0f6774-d7ea-4e88-ab8f-9fe23c0bbaa1", | ||
212 | "name": "leaf area indexLAI", | 212 | "name": "leaf area indexLAI", | ||
213 | "state": "active", | 213 | "state": "active", | ||
214 | "vocabulary_id": null | 214 | "vocabulary_id": null | ||
215 | } | 215 | } | ||
216 | ], | 216 | ], | ||
217 | "title": "Vegetation structural field measurement data for | 217 | "title": "Vegetation structural field measurement data for | ||
218 | Northeastern China Crops (NECC)", | 218 | Northeastern China Crops (NECC)", | ||
219 | "type": "vdataset", | 219 | "type": "vdataset", | ||
220 | "url": "https://doi.org/10.1594/PANGAEA.939444" | 220 | "url": "https://doi.org/10.1594/PANGAEA.939444" | ||
221 | } | 221 | } |