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f | 1 | { | f | 1 | { |
2 | "author": "Byrnes Danyka K", | 2 | "author": "Byrnes Danyka K", | ||
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.917583", | 5 | "doi": "10.1594/PANGAEA.917583", | ||
6 | "doi_date_published": "2020", | 6 | "doi_date_published": "2020", | ||
7 | "doi_publisher": "", | 7 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 8 | "doi_status": "True", | ||
9 | "extra_authors": [ | 9 | "extra_authors": [ | ||
10 | { | 10 | { | ||
11 | "extra_author": "Van Meter Kimberly J", | 11 | "extra_author": "Van Meter Kimberly J", | ||
12 | "orcid": "0000-0002-3698-7850" | 12 | "orcid": "0000-0002-3698-7850" | ||
13 | }, | 13 | }, | ||
14 | { | 14 | { | ||
15 | "extra_author": "Basu Nandita B", | 15 | "extra_author": "Basu Nandita B", | ||
16 | "orcid": "0000-0002-8867-8523" | 16 | "orcid": "0000-0002-8867-8523" | ||
17 | } | 17 | } | ||
18 | ], | 18 | ], | ||
19 | "groups": [], | 19 | "groups": [], | ||
20 | "id": "a0545501-8789-4efe-a372-293e27ac3a3d", | 20 | "id": "a0545501-8789-4efe-a372-293e27ac3a3d", | ||
21 | "isopen": false, | 21 | "isopen": false, | ||
22 | "license_id": "CC-BY-4.0", | 22 | "license_id": "CC-BY-4.0", | ||
23 | "license_title": "CC-BY-4.0", | 23 | "license_title": "CC-BY-4.0", | ||
24 | "metadata_created": "2023-01-12T13:31:21.399405", | 24 | "metadata_created": "2023-01-12T13:31:21.399405", | ||
t | 25 | "metadata_modified": "2023-08-04T09:32:47.946217", | t | 25 | "metadata_modified": "2023-08-04T09:33:49.139168", |
26 | "name": "png-doi-10-1594-pangaea-917583", | 26 | "name": "png-doi-10-1594-pangaea-917583", | ||
27 | "notes": "In the present work, we have synthesized agricultural, | 27 | "notes": "In the present work, we have synthesized agricultural, | ||
28 | population, and atmospheric deposition data across the contiguous U.S. | 28 | population, and atmospheric deposition data across the contiguous U.S. | ||
29 | for the period 1930-2017 to develop the Trajectories Nutrient Dataset | 29 | for the period 1930-2017 to develop the Trajectories Nutrient Dataset | ||
30 | for Nitrogen (TREND-nitrogen). The data is provided at U.S. county | 30 | for Nitrogen (TREND-nitrogen). The data is provided at U.S. county | ||
31 | scale at an annual time step, and the following components of the N | 31 | scale at an annual time step, and the following components of the N | ||
32 | mass balance are included: atmospheric N deposition, N fertilizer, | 32 | mass balance are included: atmospheric N deposition, N fertilizer, | ||
33 | biological N fixation, manure N, crop N uptake, human N waste, and the | 33 | biological N fixation, manure N, crop N uptake, human N waste, and the | ||
34 | overall N surplus. The dataset was constructed using information from | 34 | overall N surplus. The dataset was constructed using information from | ||
35 | a variety of sources, including the U.S. Census of Agriculture, the | 35 | a variety of sources, including the U.S. Census of Agriculture, the | ||
36 | National Atmospheric Deposition Program, the United States Geological | 36 | National Atmospheric Deposition Program, the United States Geological | ||
37 | Survey, and the U.S. Census Bureau. Gap-filling and data-fusion | 37 | Survey, and the U.S. Census Bureau. Gap-filling and data-fusion | ||
38 | techniques were utilized to provide annual-scale coverage and to | 38 | techniques were utilized to provide annual-scale coverage and to | ||
39 | harmonize data obtained from disparate sources over different time | 39 | harmonize data obtained from disparate sources over different time | ||
40 | periods and varying spatial scales. The dataset will facilitate | 40 | periods and varying spatial scales. The dataset will facilitate | ||
41 | investigations of spatial and temporal changes in anthropogenic N | 41 | investigations of spatial and temporal changes in anthropogenic N | ||
42 | dynamics at multiple scales across the U.S. in the context of | 42 | dynamics at multiple scales across the U.S. in the context of | ||
43 | historical changes in population, land use, and management.", | 43 | historical changes in population, land use, and management.", | ||
44 | "num_resources": 0, | 44 | "num_resources": 0, | ||
45 | "num_tags": 9, | 45 | "num_tags": 9, | ||
46 | "orcid": "0000-0002-5607-0687", | 46 | "orcid": "0000-0002-5607-0687", | ||
47 | "organization": { | 47 | "organization": { | ||
48 | "approval_status": "approved", | 48 | "approval_status": "approved", | ||
49 | "created": "2023-08-04T09:32:38.098376", | 49 | "created": "2023-08-04T09:32:38.098376", | ||
50 | "description": "PANGAEA (Data Publisher for Earth & Environmental | 50 | "description": "PANGAEA (Data Publisher for Earth & Environmental | ||
51 | Science): The information system PANGAEA is operated as an Open Access | 51 | Science): The information system PANGAEA is operated as an Open Access | ||
52 | library aimed at archiving, publishing and distributing georeferenced | 52 | library aimed at archiving, publishing and distributing georeferenced | ||
53 | data from earth system research. PANGAEA guarantees long-term | 53 | data from earth system research. PANGAEA guarantees long-term | ||
54 | availability (greater than 10 years) of its content. PANGAEA is open | 54 | availability (greater than 10 years) of its content. PANGAEA is open | ||
55 | to any project, institution, or individual scientist to use or to | 55 | to any project, institution, or individual scientist to use or to | ||
56 | archive and publish data. PANGAEA focuses on georeferenced | 56 | archive and publish data. PANGAEA focuses on georeferenced | ||
57 | observational data, experimental data, and models/simulations. | 57 | observational data, experimental data, and models/simulations. | ||
58 | Citability, comprehensive metadata descriptions, interoperability of | 58 | Citability, comprehensive metadata descriptions, interoperability of | ||
59 | data and metadata, a high degree of structural and semantic | 59 | data and metadata, a high degree of structural and semantic | ||
60 | harmonization of the data inventory as well as the commitment of the | 60 | harmonization of the data inventory as well as the commitment of the | ||
61 | hosting institutions ensures FAIRness of archived data.", | 61 | hosting institutions ensures FAIRness of archived data.", | ||
62 | "id": "93da141a-dc26-4ce9-bff3-b2b283505dcc", | 62 | "id": "93da141a-dc26-4ce9-bff3-b2b283505dcc", | ||
63 | "image_url": "pangea-logo.png", | 63 | "image_url": "pangea-logo.png", | ||
64 | "is_organization": true, | 64 | "is_organization": true, | ||
65 | "name": "pangaea", | 65 | "name": "pangaea", | ||
66 | "state": "active", | 66 | "state": "active", | ||
67 | "title": "PANGAEA (Agriculture)", | 67 | "title": "PANGAEA (Agriculture)", | ||
68 | "type": "organization" | 68 | "type": "organization" | ||
69 | }, | 69 | }, | ||
70 | "owner_org": "93da141a-dc26-4ce9-bff3-b2b283505dcc", | 70 | "owner_org": "93da141a-dc26-4ce9-bff3-b2b283505dcc", | ||
71 | "private": false, | 71 | "private": false, | ||
72 | "publication_year": "2020", | 72 | "publication_year": "2020", | ||
73 | "related_identifiers": [ | 73 | "related_identifiers": [ | ||
74 | { | 74 | { | ||
75 | "authors": "Byrnes Danyka K,Van Meter Kimberly J,Basu Nandita | 75 | "authors": "Byrnes Danyka K,Van Meter Kimberly J,Basu Nandita | ||
76 | B,Byrnes Danyka K,Van Meter Kimberly J,Basu Nandita B", | 76 | B,Byrnes Danyka K,Van Meter Kimberly J,Basu Nandita B", | ||
77 | "email_authors": | 77 | "email_authors": | ||
78 | "dkbyrnes@uwaterloo.ca,,,dkbyrnes@uwaterloo.ca,,", | 78 | "dkbyrnes@uwaterloo.ca,,,dkbyrnes@uwaterloo.ca,,", | ||
79 | "identifier": "https://doi.org/10.1029/2020GB006626", | 79 | "identifier": "https://doi.org/10.1029/2020GB006626", | ||
80 | "identifier_type": "DOI", | 80 | "identifier_type": "DOI", | ||
81 | "orcid_authors": | 81 | "orcid_authors": | ||
82 | 867-8523,0000-0002-5607-0687,0000-0002-3698-7850,0000-0002-8867-8523", | 82 | 867-8523,0000-0002-5607-0687,0000-0002-3698-7850,0000-0002-8867-8523", | ||
83 | "relation_type": "References", | 83 | "relation_type": "References", | ||
84 | "source": "Global Biogeochemical Cycles", | 84 | "source": "Global Biogeochemical Cycles", | ||
85 | "title": "Long\u2010term shifts in U.S. nitrogen sources and | 85 | "title": "Long\u2010term shifts in U.S. nitrogen sources and | ||
86 | sinks revealed by the new TREND\u2010nitrogen dataset | 86 | sinks revealed by the new TREND\u2010nitrogen dataset | ||
87 | (1930\u20102017)", | 87 | (1930\u20102017)", | ||
88 | "year": "2020" | 88 | "year": "2020" | ||
89 | }, | 89 | }, | ||
90 | { | 90 | { | ||
91 | "authors": "Byrnes Danyka K,Van Meter Kimberly J,Basu Nandita | 91 | "authors": "Byrnes Danyka K,Van Meter Kimberly J,Basu Nandita | ||
92 | B,Byrnes Danyka K,Van Meter Kimberly J,Basu Nandita B", | 92 | B,Byrnes Danyka K,Van Meter Kimberly J,Basu Nandita B", | ||
93 | "email_authors": | 93 | "email_authors": | ||
94 | "dkbyrnes@uwaterloo.ca,,,dkbyrnes@uwaterloo.ca,,", | 94 | "dkbyrnes@uwaterloo.ca,,,dkbyrnes@uwaterloo.ca,,", | ||
95 | "identifier": "https://doi.org/10.6084/m9.figshare.20915989.v1", | 95 | "identifier": "https://doi.org/10.6084/m9.figshare.20915989.v1", | ||
96 | "identifier_type": "DOI", | 96 | "identifier_type": "DOI", | ||
97 | "orcid_authors": | 97 | "orcid_authors": | ||
98 | 867-8523,0000-0002-5607-0687,0000-0002-3698-7850,0000-0002-8867-8523", | 98 | 867-8523,0000-0002-5607-0687,0000-0002-3698-7850,0000-0002-8867-8523", | ||
99 | "relation_type": "References", | 99 | "relation_type": "References", | ||
100 | "source": "figshare", | 100 | "source": "figshare", | ||
101 | "title": "Trajectories Nutrient Dataset for Nitrogen | 101 | "title": "Trajectories Nutrient Dataset for Nitrogen | ||
102 | (TREND-Nitrogen)", | 102 | (TREND-Nitrogen)", | ||
103 | "year": "2022" | 103 | "year": "2022" | ||
104 | } | 104 | } | ||
105 | ], | 105 | ], | ||
106 | "relationships_as_object": [], | 106 | "relationships_as_object": [], | ||
107 | "relationships_as_subject": [], | 107 | "relationships_as_subject": [], | ||
108 | "repository_name": "PANGAEA (Data Publisher for Earth & | 108 | "repository_name": "PANGAEA (Data Publisher for Earth & | ||
109 | Environmental Science)", | 109 | Environmental Science)", | ||
110 | "resource_type": "", | 110 | "resource_type": "", | ||
111 | "resources": [], | 111 | "resources": [], | ||
112 | "services_used_list": "", | 112 | "services_used_list": "", | ||
113 | "source_metadata_created": "2020", | 113 | "source_metadata_created": "2020", | ||
114 | "source_metadata_modified": "", | 114 | "source_metadata_modified": "", | ||
115 | "state": "active", | 115 | "state": "active", | ||
116 | "subject_areas": [ | 116 | "subject_areas": [ | ||
117 | { | 117 | { | ||
118 | "subject_area_additional": "", | 118 | "subject_area_additional": "", | ||
119 | "subject_area_name": "Agriculture" | 119 | "subject_area_name": "Agriculture" | ||
120 | }, | 120 | }, | ||
121 | { | 121 | { | ||
122 | "subject_area_additional": "", | 122 | "subject_area_additional": "", | ||
123 | "subject_area_name": "Atmosphere" | 123 | "subject_area_name": "Atmosphere" | ||
124 | }, | 124 | }, | ||
125 | { | 125 | { | ||
126 | "subject_area_additional": "", | 126 | "subject_area_additional": "", | ||
127 | "subject_area_name": "Ecology" | 127 | "subject_area_name": "Ecology" | ||
128 | }, | 128 | }, | ||
129 | { | 129 | { | ||
130 | "subject_area_additional": "", | 130 | "subject_area_additional": "", | ||
131 | "subject_area_name": "Lithosphere" | 131 | "subject_area_name": "Lithosphere" | ||
132 | } | 132 | } | ||
133 | ], | 133 | ], | ||
134 | "tags": [ | 134 | "tags": [ | ||
135 | { | 135 | { | ||
136 | "display_name": "Agriculture", | 136 | "display_name": "Agriculture", | ||
137 | "id": "3e9a2d9e-c88a-493a-9d94-c62939ce7d6f", | 137 | "id": "3e9a2d9e-c88a-493a-9d94-c62939ce7d6f", | ||
138 | "name": "Agriculture", | 138 | "name": "Agriculture", | ||
139 | "state": "active", | 139 | "state": "active", | ||
140 | "vocabulary_id": null | 140 | "vocabulary_id": null | ||
141 | }, | 141 | }, | ||
142 | { | 142 | { | ||
143 | "display_name": "atmospheric deposition", | 143 | "display_name": "atmospheric deposition", | ||
144 | "id": "040aa3dd-5c9d-4a87-99a6-98c725aeb883", | 144 | "id": "040aa3dd-5c9d-4a87-99a6-98c725aeb883", | ||
145 | "name": "atmospheric deposition", | 145 | "name": "atmospheric deposition", | ||
146 | "state": "active", | 146 | "state": "active", | ||
147 | "vocabulary_id": null | 147 | "vocabulary_id": null | ||
148 | }, | 148 | }, | ||
149 | { | 149 | { | ||
150 | "display_name": "biological nitrogen fixation", | 150 | "display_name": "biological nitrogen fixation", | ||
151 | "id": "d271525a-61e2-424e-a087-e3a6febd7c43", | 151 | "id": "d271525a-61e2-424e-a087-e3a6febd7c43", | ||
152 | "name": "biological nitrogen fixation", | 152 | "name": "biological nitrogen fixation", | ||
153 | "state": "active", | 153 | "state": "active", | ||
154 | "vocabulary_id": null | 154 | "vocabulary_id": null | ||
155 | }, | 155 | }, | ||
156 | { | 156 | { | ||
157 | "display_name": "fertilizer", | 157 | "display_name": "fertilizer", | ||
158 | "id": "2996ad58-b5fb-4916-9d47-f207db1007a4", | 158 | "id": "2996ad58-b5fb-4916-9d47-f207db1007a4", | ||
159 | "name": "fertilizer", | 159 | "name": "fertilizer", | ||
160 | "state": "active", | 160 | "state": "active", | ||
161 | "vocabulary_id": null | 161 | "vocabulary_id": null | ||
162 | }, | 162 | }, | ||
163 | { | 163 | { | ||
164 | "display_name": "human", | 164 | "display_name": "human", | ||
165 | "id": "a72cbbc4-9d12-4dfe-9b50-4d2744ab68bf", | 165 | "id": "a72cbbc4-9d12-4dfe-9b50-4d2744ab68bf", | ||
166 | "name": "human", | 166 | "name": "human", | ||
167 | "state": "active", | 167 | "state": "active", | ||
168 | "vocabulary_id": null | 168 | "vocabulary_id": null | ||
169 | }, | 169 | }, | ||
170 | { | 170 | { | ||
171 | "display_name": "legacy N", | 171 | "display_name": "legacy N", | ||
172 | "id": "10a7700b-fcf5-4358-b581-d8d9df4bec43", | 172 | "id": "10a7700b-fcf5-4358-b581-d8d9df4bec43", | ||
173 | "name": "legacy N", | 173 | "name": "legacy N", | ||
174 | "state": "active", | 174 | "state": "active", | ||
175 | "vocabulary_id": null | 175 | "vocabulary_id": null | ||
176 | }, | 176 | }, | ||
177 | { | 177 | { | ||
178 | "display_name": "manure", | 178 | "display_name": "manure", | ||
179 | "id": "adc8d7fd-1e90-4124-b69f-8436a9af6e3f", | 179 | "id": "adc8d7fd-1e90-4124-b69f-8436a9af6e3f", | ||
180 | "name": "manure", | 180 | "name": "manure", | ||
181 | "state": "active", | 181 | "state": "active", | ||
182 | "vocabulary_id": null | 182 | "vocabulary_id": null | ||
183 | }, | 183 | }, | ||
184 | { | 184 | { | ||
185 | "display_name": "nitrogen", | 185 | "display_name": "nitrogen", | ||
186 | "id": "ac23d67c-d14a-43f3-be2e-ffe5a1973288", | 186 | "id": "ac23d67c-d14a-43f3-be2e-ffe5a1973288", | ||
187 | "name": "nitrogen", | 187 | "name": "nitrogen", | ||
188 | "state": "active", | 188 | "state": "active", | ||
189 | "vocabulary_id": null | 189 | "vocabulary_id": null | ||
190 | }, | 190 | }, | ||
191 | { | 191 | { | ||
192 | "display_name": "nitrogen surplus", | 192 | "display_name": "nitrogen surplus", | ||
193 | "id": "d5e7f399-e10a-4c3e-890c-c6903ae07a70", | 193 | "id": "d5e7f399-e10a-4c3e-890c-c6903ae07a70", | ||
194 | "name": "nitrogen surplus", | 194 | "name": "nitrogen surplus", | ||
195 | "state": "active", | 195 | "state": "active", | ||
196 | "vocabulary_id": null | 196 | "vocabulary_id": null | ||
197 | } | 197 | } | ||
198 | ], | 198 | ], | ||
199 | "title": "Trajectories Nutrient Dataset for Nitrogen | 199 | "title": "Trajectories Nutrient Dataset for Nitrogen | ||
200 | (TREND-nitrogen)", | 200 | (TREND-nitrogen)", | ||
201 | "type": "vdataset", | 201 | "type": "vdataset", | ||
202 | "url": "https://doi.org/10.1594/PANGAEA.917583" | 202 | "url": "https://doi.org/10.1594/PANGAEA.917583" | ||
203 | } | 203 | } |