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f | 1 | { | f | 1 | { |
2 | "author": "Diekmann, Christopher J.", | 2 | "author": "Diekmann, Christopher J.", | ||
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": "10.35097/495", | 5 | "doi": "10.35097/495", | ||
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 | "extra_authors": [ | 9 | "extra_authors": [ | ||
10 | { | 10 | { | ||
11 | "extra_author": "Schneider, Matthias", | 11 | "extra_author": "Schneider, Matthias", | ||
12 | "orcid": "0000-0001-8452-0035" | 12 | "orcid": "0000-0001-8452-0035" | ||
13 | }, | 13 | }, | ||
14 | { | 14 | { | ||
15 | "extra_author": "Ertl, Benjamin", | 15 | "extra_author": "Ertl, Benjamin", | ||
16 | "orcid": "0000-0003-1431-2243" | 16 | "orcid": "0000-0003-1431-2243" | ||
17 | } | 17 | } | ||
18 | ], | 18 | ], | ||
19 | "groups": [], | 19 | "groups": [], | ||
20 | "id": "75d6367b-f3bc-430c-a933-7911b2026c19", | 20 | "id": "75d6367b-f3bc-430c-a933-7911b2026c19", | ||
21 | "isopen": false, | 21 | "isopen": false, | ||
22 | "license_id": "CC BY 4.0 Attribution", | 22 | "license_id": "CC BY 4.0 Attribution", | ||
23 | "license_title": "CC BY 4.0 Attribution", | 23 | "license_title": "CC BY 4.0 Attribution", | ||
24 | "metadata_created": "2023-01-12T13:30:39.848287", | 24 | "metadata_created": "2023-01-12T13:30:39.848287", | ||
t | 25 | "metadata_modified": "2023-08-04T08:51:25.855184", | t | 25 | "metadata_modified": "2023-08-04T08:52:54.117409", |
26 | "name": "rdr-doi-10-35097-495", | 26 | "name": "rdr-doi-10-35097-495", | ||
27 | "notes": "Abstract: This is a re-gridded Level-3 dataset of the | 27 | "notes": "Abstract: This is a re-gridded Level-3 dataset of the | ||
28 | MUSICA IASI water isotopologue pair product. It is based on the | 28 | MUSICA IASI water isotopologue pair product. It is based on the | ||
29 | Level-2 datasets from the MUSICA IASI full retrieval | 29 | Level-2 datasets from the MUSICA IASI full retrieval | ||
30 | (https://dx.doi.org/10.35097/408) and the a posteriori processed {H2O, | 30 | (https://dx.doi.org/10.35097/408) and the a posteriori processed {H2O, | ||
31 | \u03b4D} pairs (https://dx.doi.org/10.35097/415), which use the | 31 | \u03b4D} pairs (https://dx.doi.org/10.35097/415), which use the | ||
32 | thermal nadir radiances measured by the IASI instrument aboard the | 32 | thermal nadir radiances measured by the IASI instrument aboard the | ||
33 | Metop satellites. This Level-3 dataset consists of quality-filtered | 33 | Metop satellites. This Level-3 dataset consists of quality-filtered | ||
34 | {H2O, \u03b4D} pair data re-gridded on a regular 1\u00b0x1\u00b0 grid | 34 | {H2O, \u03b4D} pair data re-gridded on a regular 1\u00b0x1\u00b0 grid | ||
35 | and interpolated on the fixed atmospheric altitude levels 3.0, 4.2 and | 35 | and interpolated on the fixed atmospheric altitude levels 3.0, 4.2 and | ||
36 | 6.4 km above sea level. It provides H2O and \u03b4D (including their | 36 | 6.4 km above sea level. It provides H2O and \u03b4D (including their | ||
37 | errors) as well as information about the atmospheric temperature and | 37 | errors) as well as information about the atmospheric temperature and | ||
38 | pressure and some metrics documenting the representativeness of the | 38 | pressure and some metrics documenting the representativeness of the | ||
39 | horizontally re-gridded data. The Level-3 data are provided globally | 39 | horizontally re-gridded data. The Level-3 data are provided globally | ||
40 | and twice daily (morning and evening overpass times) and currently | 40 | and twice daily (morning and evening overpass times) and currently | ||
41 | comprise the full period between October 2014 and December 2020 | 41 | comprise the full period between October 2014 and December 2020 | ||
42 | (leading to a data volume of about 22GB). Depending on available | 42 | (leading to a data volume of about 22GB). Depending on available | ||
43 | resources, this dataset will be updated to current measurements (for | 43 | resources, this dataset will be updated to current measurements (for | ||
44 | data availability updates please refer to the MUSICA IASI data web | 44 | data availability updates please refer to the MUSICA IASI data web | ||
45 | page https://www.imk-asf.kit.edu/english/musica-iasi-h2oiso-v2.php). | 45 | page https://www.imk-asf.kit.edu/english/musica-iasi-h2oiso-v2.php). | ||
46 | Details on this dataset are summarized in the file \"ReadMe.pdf\". ", | 46 | Details on this dataset are summarized in the file \"ReadMe.pdf\". ", | ||
47 | "num_resources": 0, | 47 | "num_resources": 0, | ||
48 | "num_tags": 11, | 48 | "num_tags": 11, | ||
49 | "orcid": "0000-0002-8961-5241", | 49 | "orcid": "0000-0002-8961-5241", | ||
50 | "organization": { | 50 | "organization": { | ||
51 | "approval_status": "approved", | 51 | "approval_status": "approved", | ||
52 | "created": "2023-01-12T13:30:23.238233", | 52 | "created": "2023-01-12T13:30:23.238233", | ||
53 | "description": "RADAR (Research Data Repository) is a | 53 | "description": "RADAR (Research Data Repository) is a | ||
54 | cross-disciplinary repository for archiving and publishing research | 54 | cross-disciplinary repository for archiving and publishing research | ||
55 | data from completed scientific studies and projects. The focus is on | 55 | data from completed scientific studies and projects. The focus is on | ||
56 | research data from subjects that do not yet have their own | 56 | research data from subjects that do not yet have their own | ||
57 | discipline-specific infrastructures for research data management. ", | 57 | discipline-specific infrastructures for research data management. ", | ||
58 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 58 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
59 | "image_url": "radar-logo.svg", | 59 | "image_url": "radar-logo.svg", | ||
60 | "is_organization": true, | 60 | "is_organization": true, | ||
61 | "name": "radar", | 61 | "name": "radar", | ||
62 | "state": "active", | 62 | "state": "active", | ||
63 | "title": "RADAR", | 63 | "title": "RADAR", | ||
64 | "type": "organization" | 64 | "type": "organization" | ||
65 | }, | 65 | }, | ||
66 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 66 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
67 | "private": false, | 67 | "private": false, | ||
68 | "production_year": "2021", | 68 | "production_year": "2021", | ||
69 | "publication_year": "2021", | 69 | "publication_year": "2021", | ||
70 | "publishers": [ | 70 | "publishers": [ | ||
71 | { | 71 | { | ||
72 | "publisher": "Institute of Meteorology and Climate Research, | 72 | "publisher": "Institute of Meteorology and Climate Research, | ||
73 | Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe | 73 | Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe | ||
74 | Institute of Technology (KIT)" | 74 | Institute of Technology (KIT)" | ||
75 | } | 75 | } | ||
76 | ], | 76 | ], | ||
77 | "relationships_as_object": [], | 77 | "relationships_as_object": [], | ||
78 | "relationships_as_subject": [], | 78 | "relationships_as_subject": [], | ||
79 | "repository_name": "RADAR (Research Data Repository)", | 79 | "repository_name": "RADAR (Research Data Repository)", | ||
80 | "resources": [], | 80 | "resources": [], | ||
81 | "services_used_list": "", | 81 | "services_used_list": "", | ||
82 | "source_metadata_created": "2021", | 82 | "source_metadata_created": "2021", | ||
83 | "source_metadata_modified": "", | 83 | "source_metadata_modified": "", | ||
84 | "state": "active", | 84 | "state": "active", | ||
85 | "subject_areas": [ | 85 | "subject_areas": [ | ||
86 | { | 86 | { | ||
87 | "subject_area_additional": "", | 87 | "subject_area_additional": "", | ||
88 | "subject_area_name": "Geological Science" | 88 | "subject_area_name": "Geological Science" | ||
89 | }, | 89 | }, | ||
90 | { | 90 | { | ||
91 | "subject_area_additional": "Atmosphere", | 91 | "subject_area_additional": "Atmosphere", | ||
92 | "subject_area_name": "Other" | 92 | "subject_area_name": "Other" | ||
93 | } | 93 | } | ||
94 | ], | 94 | ], | ||
95 | "tags": [ | 95 | "tags": [ | ||
96 | { | 96 | { | ||
97 | "display_name": "Atmospheric Composition", | 97 | "display_name": "Atmospheric Composition", | ||
98 | "id": "4f65ce36-9db7-415b-b5ab-4abdc0163823", | 98 | "id": "4f65ce36-9db7-415b-b5ab-4abdc0163823", | ||
99 | "name": "Atmospheric Composition", | 99 | "name": "Atmospheric Composition", | ||
100 | "state": "active", | 100 | "state": "active", | ||
101 | "vocabulary_id": null | 101 | "vocabulary_id": null | ||
102 | }, | 102 | }, | ||
103 | { | 103 | { | ||
104 | "display_name": "H2O", | 104 | "display_name": "H2O", | ||
105 | "id": "16083e47-bb7c-4694-b288-1546a9d67035", | 105 | "id": "16083e47-bb7c-4694-b288-1546a9d67035", | ||
106 | "name": "H2O", | 106 | "name": "H2O", | ||
107 | "state": "active", | 107 | "state": "active", | ||
108 | "vocabulary_id": null | 108 | "vocabulary_id": null | ||
109 | }, | 109 | }, | ||
110 | { | 110 | { | ||
111 | "display_name": "HDO", | 111 | "display_name": "HDO", | ||
112 | "id": "4727dfe5-9d8d-47d3-8625-cc4064f28d57", | 112 | "id": "4727dfe5-9d8d-47d3-8625-cc4064f28d57", | ||
113 | "name": "HDO", | 113 | "name": "HDO", | ||
114 | "state": "active", | 114 | "state": "active", | ||
115 | "vocabulary_id": null | 115 | "vocabulary_id": null | ||
116 | }, | 116 | }, | ||
117 | { | 117 | { | ||
118 | "display_name": "IASI", | 118 | "display_name": "IASI", | ||
119 | "id": "06ab87d9-dfe0-4a09-88a6-d77ac88eb479", | 119 | "id": "06ab87d9-dfe0-4a09-88a6-d77ac88eb479", | ||
120 | "name": "IASI", | 120 | "name": "IASI", | ||
121 | "state": "active", | 121 | "state": "active", | ||
122 | "vocabulary_id": null | 122 | "vocabulary_id": null | ||
123 | }, | 123 | }, | ||
124 | { | 124 | { | ||
125 | "display_name": "MUSICA", | 125 | "display_name": "MUSICA", | ||
126 | "id": "fc0218e7-38cd-4e2e-ad93-90e676938466", | 126 | "id": "fc0218e7-38cd-4e2e-ad93-90e676938466", | ||
127 | "name": "MUSICA", | 127 | "name": "MUSICA", | ||
128 | "state": "active", | 128 | "state": "active", | ||
129 | "vocabulary_id": null | 129 | "vocabulary_id": null | ||
130 | }, | 130 | }, | ||
131 | { | 131 | { | ||
132 | "display_name": "Metop", | 132 | "display_name": "Metop", | ||
133 | "id": "7a7b5a5b-f9e1-47a7-9a04-7b9f9557c810", | 133 | "id": "7a7b5a5b-f9e1-47a7-9a04-7b9f9557c810", | ||
134 | "name": "Metop", | 134 | "name": "Metop", | ||
135 | "state": "active", | 135 | "state": "active", | ||
136 | "vocabulary_id": null | 136 | "vocabulary_id": null | ||
137 | }, | 137 | }, | ||
138 | { | 138 | { | ||
139 | "display_name": "Regular 1x1 Horizontal Grid", | 139 | "display_name": "Regular 1x1 Horizontal Grid", | ||
140 | "id": "f2231f6f-46c2-4efd-abab-c65613db4222", | 140 | "id": "f2231f6f-46c2-4efd-abab-c65613db4222", | ||
141 | "name": "Regular 1x1 Horizontal Grid", | 141 | "name": "Regular 1x1 Horizontal Grid", | ||
142 | "state": "active", | 142 | "state": "active", | ||
143 | "vocabulary_id": null | 143 | "vocabulary_id": null | ||
144 | }, | 144 | }, | ||
145 | { | 145 | { | ||
146 | "display_name": "Remote Sensing", | 146 | "display_name": "Remote Sensing", | ||
147 | "id": "d5087db2-baa3-4aa5-bf19-a75154d99f42", | 147 | "id": "d5087db2-baa3-4aa5-bf19-a75154d99f42", | ||
148 | "name": "Remote Sensing", | 148 | "name": "Remote Sensing", | ||
149 | "state": "active", | 149 | "state": "active", | ||
150 | "vocabulary_id": null | 150 | "vocabulary_id": null | ||
151 | }, | 151 | }, | ||
152 | { | 152 | { | ||
153 | "display_name": "Satellite", | 153 | "display_name": "Satellite", | ||
154 | "id": "e10ee7fa-9b56-4094-a0f4-9d834b4f2bf8", | 154 | "id": "e10ee7fa-9b56-4094-a0f4-9d834b4f2bf8", | ||
155 | "name": "Satellite", | 155 | "name": "Satellite", | ||
156 | "state": "active", | 156 | "state": "active", | ||
157 | "vocabulary_id": null | 157 | "vocabulary_id": null | ||
158 | }, | 158 | }, | ||
159 | { | 159 | { | ||
160 | "display_name": "Water Vapour", | 160 | "display_name": "Water Vapour", | ||
161 | "id": "9945c0b4-8fe7-4086-875a-87d7725753ae", | 161 | "id": "9945c0b4-8fe7-4086-875a-87d7725753ae", | ||
162 | "name": "Water Vapour", | 162 | "name": "Water Vapour", | ||
163 | "state": "active", | 163 | "state": "active", | ||
164 | "vocabulary_id": null | 164 | "vocabulary_id": null | ||
165 | }, | 165 | }, | ||
166 | { | 166 | { | ||
167 | "display_name": "Water Vapour Isotopologues", | 167 | "display_name": "Water Vapour Isotopologues", | ||
168 | "id": "097cebd9-d765-479e-a5f3-0c984cd35c3a", | 168 | "id": "097cebd9-d765-479e-a5f3-0c984cd35c3a", | ||
169 | "name": "Water Vapour Isotopologues", | 169 | "name": "Water Vapour Isotopologues", | ||
170 | "state": "active", | 170 | "state": "active", | ||
171 | "vocabulary_id": null | 171 | "vocabulary_id": null | ||
172 | } | 172 | } | ||
173 | ], | 173 | ], | ||
174 | "title": "Regular 1\u00b0x1\u00b0 re-gridded musica iasi water | 174 | "title": "Regular 1\u00b0x1\u00b0 re-gridded musica iasi water | ||
175 | isotopologue pair dataset (a posteriori processing version 2)", | 175 | isotopologue pair dataset (a posteriori processing version 2)", | ||
176 | "type": "vdataset", | 176 | "type": "vdataset", | ||
177 | "url": "https://doi.org/10.35097/495" | 177 | "url": "https://doi.org/10.35097/495" | ||
178 | } | 178 | } |