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On September 21, 2021 at 8:05:41 AM UTC, Administrator:
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Updated description of Induced Rockfall Dataset #2 (Chant Sura Experimental Campaign), Flüelapass, Grisons, Switzerland from
The data archive contains site specific geographical data such as DEM and orthophoto as well as the deposition points of manually induced rockfall by releasing differently shaped boulders with 46, 200, 800 and 2670 kg of mass. Additionally available are all the reconstructed data sets for all trajectories with videogrammetry installed comprising StoneNode data streams for rocks equipped with a sensor. The data set consists of: # Resources (individual zip-archives) __ExperimentalRuns __: Archive with all available StoneNode data streams and its respective figure (.mat files) __Input__: Archive containing folders * GNSS: 182 Deposition points of all different weight and shape classes, shape files for release point, cliff and scree line, * UAS: UAS generated pre- and post-experimental digital surface models and orthophoto of the four most important experimental days and * VG_Coord: Reconstruction input: Videogrammetry based coordinate list along side with the corresponding sensor/video times __EOTA__: Point cloud of cubic EOTA(111) and platy EOTA(221) rock as input for RAMMS::ROCKFALL or other suitable rockfall simulation codes incorporating complex shape files. __Output__: Reconstruced trajectory information for all 82 reconstructed trajectories __Video__: available video streams for all runs ## Further information Preceeding publications concering the deployed sensors and the reconstruction methods are found in the subsequent references: A. Caviezel et al., Design and Evaluation of a Low-Power Sensor Device for Induced Rockfall Experiments, IEEE Transactions on Instrumentation and Measurement, 2018, 67, 767-779, http://ieeexplore.ieee.org/document/8122020/ P. Niklaus et al., StoneNode: A low-power sensor device for induced rockfall experiments, 2017 IEEE Sensors Applications Symposium (SAS), 2017, 1-6, http://ieeexplore.ieee.org/document/7894081/ Caviezel, A., Demmel, S. E., Ringenbach, A., Bühler, Y., Lu, G., Christen, M., Dinneen, C. E., Eberhard, L. A., von Rickenbach, D., and Bartelt, P.: Reconstruction of four-dimensional rockfall trajectories using remote sensing and rock-based accelerometers and gyroscopes, Earth Surf. Dynam., 7, 199–210, https://doi.org/10.5194/esurf-7-199-2019, 2019
toThe data archive contains site specific geographical data such as DEM and orthophoto as well as the deposition points of manually induced rockfall by releasing differently shaped boulders with 46, 200, 800 and 2670 kg of mass. Additionally available are all the reconstructed data sets for all trajectories with videogrammetry installed comprising StoneNode data streams for rocks equipped with a sensor. The data set consists of: # Resources (individual zip-archives) __ExperimentalRuns__: Archive with all available StoneNode data streams and its respective figure (.mat files) __Input__: Archive containing folders * GNSS: 182 Deposition points of all different weight and shape classes, shape files for release point, cliff and scree line, * UAS: UAS generated pre- and post-experimental digital surface models and orthophoto of the four most important experimental days and * VG_Coord: Reconstruction input: Videogrammetry based coordinate list along side with the corresponding sensor/video times __EOTA__: Point cloud of cubic EOTA(111) and platy EOTA(221) rock as input for RAMMS::ROCKFALL or other suitable rockfall simulation codes incorporating complex shape files. __Output__: Reconstruced trajectory information for all 82 reconstructed trajectories __Video__: available video streams for all runs ## Further information Preceeding publications concering the deployed sensors and the reconstruction methods are found in the subsequent references: A. Caviezel et al., Design and Evaluation of a Low-Power Sensor Device for Induced Rockfall Experiments, IEEE Transactions on Instrumentation and Measurement, 2018, 67, 767-779, http://ieeexplore.ieee.org/document/8122020/ P. Niklaus et al., StoneNode: A low-power sensor device for induced rockfall experiments, 2017 IEEE Sensors Applications Symposium (SAS), 2017, 1-6, http://ieeexplore.ieee.org/document/7894081/ Caviezel, A., Demmel, S. E., Ringenbach, A., Bühler, Y., Lu, G., Christen, M., Dinneen, C. E., Eberhard, L. A., von Rickenbach, D., and Bartelt, P.: Reconstruction of four-dimensional rockfall trajectories using remote sensing and rock-based accelerometers and gyroscopes, Earth Surf. Dynam., 7, 199–210, https://doi.org/10.5194/esurf-7-199-2019, 2019
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2 | "author": "[{\"affiliation\": \"WSL Institute for Snow and Avalanche | 2 | "author": "[{\"affiliation\": \"WSL Institute for Snow and Avalanche | ||
3 | Research SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 3 | Research SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
4 | \"data_credit\": [\"collection\", \"validation\", \"curation\", | 4 | \"data_credit\": [\"collection\", \"validation\", \"curation\", | ||
5 | \"software\", \"publication\", \"supervision\"], \"email\": | 5 | \"software\", \"publication\", \"supervision\"], \"email\": | ||
6 | \"caviezel@slf.ch\", \"given_name\": \"Andrin\", \"identifier\": | 6 | \"caviezel@slf.ch\", \"given_name\": \"Andrin\", \"identifier\": | ||
7 | \"0000-0001-6249-4913\", \"name\": \"Caviezel\"}, {\"affiliation\": | 7 | \"0000-0001-6249-4913\", \"name\": \"Caviezel\"}, {\"affiliation\": | ||
8 | \"WSL Institute for Snow and Avalanche Research SLF\", | 8 | \"WSL Institute for Snow and Avalanche Research SLF\", | ||
9 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | 9 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | ||
10 | [\"collection\", \"validation\"], \"email\": \"sophia@wyssen.com\", | 10 | [\"collection\", \"validation\"], \"email\": \"sophia@wyssen.com\", | ||
11 | \"given_name\": \"Sophia\", \"identifier\": \"\", \"name\": | 11 | \"given_name\": \"Sophia\", \"identifier\": \"\", \"name\": | ||
12 | \"Demmel\"}, {\"affiliation\": \"WSL Institute for Snow and Avalanche | 12 | \"Demmel\"}, {\"affiliation\": \"WSL Institute for Snow and Avalanche | ||
13 | Research SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 13 | Research SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
14 | \"data_credit\": \"collection\", \"email\": \"buehler@slf.ch\", | 14 | \"data_credit\": \"collection\", \"email\": \"buehler@slf.ch\", | ||
15 | \"given_name\": \"Yves\", \"identifier\": \"\", \"name\": | 15 | \"given_name\": \"Yves\", \"identifier\": \"\", \"name\": | ||
16 | \"B\\u00fchler\"}, {\"affiliation\": \"WSL Institute for Snow and | 16 | \"B\\u00fchler\"}, {\"affiliation\": \"WSL Institute for Snow and | ||
17 | Avalanche Research SLF\", \"affiliation_02\": \"\", | 17 | Avalanche Research SLF\", \"affiliation_02\": \"\", | ||
18 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 18 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
19 | \"validation\", \"publication\"], \"email\": \"ringenbach@slf.ch\", | 19 | \"validation\", \"publication\"], \"email\": \"ringenbach@slf.ch\", | ||
20 | \"given_name\": \"Adrian\", \"identifier\": \"\", \"name\": | 20 | \"given_name\": \"Adrian\", \"identifier\": \"\", \"name\": | ||
21 | \"Ringenbach\"}, {\"affiliation\": \"WSL Institute for Snow and | 21 | \"Ringenbach\"}, {\"affiliation\": \"WSL Institute for Snow and | ||
22 | Avalanche Research SLF\", \"affiliation_02\": \"\", | 22 | Avalanche Research SLF\", \"affiliation_02\": \"\", | ||
23 | \"affiliation_03\": \"\", \"data_credit\": \"collection\", \"email\": | 23 | \"affiliation_03\": \"\", \"data_credit\": \"collection\", \"email\": | ||
24 | \"christen@slf.ch\", \"given_name\": \"Marc\", \"identifier\": \"\", | 24 | \"christen@slf.ch\", \"given_name\": \"Marc\", \"identifier\": \"\", | ||
25 | \"name\": \"Christen\"}, {\"affiliation\": \"WSL Institute for Snow | 25 | \"name\": \"Christen\"}, {\"affiliation\": \"WSL Institute for Snow | ||
26 | and Avalanche Research SLF\", \"affiliation_02\": \"\", | 26 | and Avalanche Research SLF\", \"affiliation_02\": \"\", | ||
27 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 27 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
28 | \"publication\", \"supervision\"], \"email\": \"bartelt@slf.ch\", | 28 | \"publication\", \"supervision\"], \"email\": \"bartelt@slf.ch\", | ||
29 | \"given_name\": \"Perry\", \"identifier\": \"\", \"name\": | 29 | \"given_name\": \"Perry\", \"identifier\": \"\", \"name\": | ||
30 | \"Bartelt\"}]", | 30 | \"Bartelt\"}]", | ||
31 | "author_email": null, | 31 | "author_email": null, | ||
32 | "creator_user_id": "e4badad3-369f-401e-8582-a22277078505", | 32 | "creator_user_id": "e4badad3-369f-401e-8582-a22277078505", | ||
33 | "date": "[{\"date\": \"2017-06-14\", \"date_type\": \"created\", | 33 | "date": "[{\"date\": \"2017-06-14\", \"date_type\": \"created\", | ||
34 | \"end_date\": \"2020-10-31\"}]", | 34 | \"end_date\": \"2020-10-31\"}]", | ||
35 | "doi": "10.16904/envidat.174", | 35 | "doi": "10.16904/envidat.174", | ||
36 | "extras": [ | 36 | "extras": [ | ||
37 | { | 37 | { | ||
38 | "key": "dora_link", | 38 | "key": "dora_link", | ||
39 | "value": "" | 39 | "value": "" | ||
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41 | ], | 41 | ], | ||
42 | "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL | 42 | "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL | ||
43 | Institute for Snow and Avalanche Research SLF\", \"institution_url\": | 43 | Institute for Snow and Avalanche Research SLF\", \"institution_url\": | ||
44 | \"\"}]", | 44 | \"\"}]", | ||
45 | "groups": [], | 45 | "groups": [], | ||
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48 | "language": "en", | 48 | "language": "en", | ||
49 | "license_id": "wsl-data", | 49 | "license_id": "wsl-data", | ||
50 | "license_title": "WSL Data Policy", | 50 | "license_title": "WSL Data Policy", | ||
51 | "license_url": | 51 | "license_url": | ||
52 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | 52 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | ||
53 | "maintainer": "{\"affiliation\": \"WSL Institute for Snow and | 53 | "maintainer": "{\"affiliation\": \"WSL Institute for Snow and | ||
54 | Avalanche Research SLF\", \"email\": \"caviezel@slf.ch\", | 54 | Avalanche Research SLF\", \"email\": \"caviezel@slf.ch\", | ||
55 | \"given_name\": \"Andrin\", \"identifier\": \"0000-0001-6249-4913\", | 55 | \"given_name\": \"Andrin\", \"identifier\": \"0000-0001-6249-4913\", | ||
56 | \"name\": \"Caviezel\"}", | 56 | \"name\": \"Caviezel\"}", | ||
57 | "maintainer_email": null, | 57 | "maintainer_email": null, | ||
58 | "metadata_created": "2019-11-19T13:18:06.145158", | 58 | "metadata_created": "2019-11-19T13:18:06.145158", | ||
n | 59 | "metadata_modified": "2021-09-21T08:04:38.271575", | n | 59 | "metadata_modified": "2021-09-21T08:05:41.756843", |
60 | "name": "induced-rockfall-dataset-chant-sura", | 60 | "name": "induced-rockfall-dataset-chant-sura", | ||
61 | "notes": "The data archive contains site specific geographical data | 61 | "notes": "The data archive contains site specific geographical data | ||
62 | such as DEM and orthophoto as well as the deposition points of | 62 | such as DEM and orthophoto as well as the deposition points of | ||
63 | manually induced rockfall by releasing differently shaped boulders | 63 | manually induced rockfall by releasing differently shaped boulders | ||
64 | with 46, 200, 800 and 2670 kg of mass. \r\n\r\nAdditionally available | 64 | with 46, 200, 800 and 2670 kg of mass. \r\n\r\nAdditionally available | ||
65 | are all the reconstructed data sets for all trajectories with | 65 | are all the reconstructed data sets for all trajectories with | ||
66 | videogrammetry installed comprising StoneNode data streams for rocks | 66 | videogrammetry installed comprising StoneNode data streams for rocks | ||
67 | equipped with a sensor. The data set consists of:\r\n\r\n# Resources | 67 | equipped with a sensor. The data set consists of:\r\n\r\n# Resources | ||
t | 68 | (individual zip-archives) \r\n__ExperimentalRuns __: Archive with all | t | 68 | (individual zip-archives) \r\n__ExperimentalRuns__: Archive with all |
69 | available StoneNode data streams and its respective figure (.mat | 69 | available StoneNode data streams and its respective figure (.mat | ||
70 | files)\r\n\r\n__Input__: Archive containing folders \r\n\r\n* GNSS: | 70 | files)\r\n\r\n__Input__: Archive containing folders \r\n\r\n* GNSS: | ||
71 | 182 Deposition points of all different weight and shape classes, shape | 71 | 182 Deposition points of all different weight and shape classes, shape | ||
72 | files for release point, cliff and scree line, \r\n* UAS: UAS | 72 | files for release point, cliff and scree line, \r\n* UAS: UAS | ||
73 | generated pre- and post-experimental digital surface models and | 73 | generated pre- and post-experimental digital surface models and | ||
74 | orthophoto of the four most important experimental days and \r\n* | 74 | orthophoto of the four most important experimental days and \r\n* | ||
75 | VG_Coord: Reconstruction input: Videogrammetry based coordinate list | 75 | VG_Coord: Reconstruction input: Videogrammetry based coordinate list | ||
76 | along side with the corresponding sensor/video times\r\n\r\n__EOTA__: | 76 | along side with the corresponding sensor/video times\r\n\r\n__EOTA__: | ||
77 | Point cloud of cubic EOTA(111) and platy EOTA(221) rock as input for | 77 | Point cloud of cubic EOTA(111) and platy EOTA(221) rock as input for | ||
78 | RAMMS::ROCKFALL or other suitable rockfall simulation codes | 78 | RAMMS::ROCKFALL or other suitable rockfall simulation codes | ||
79 | incorporating complex shape files.\r\n\r\n__Output__: Reconstruced | 79 | incorporating complex shape files.\r\n\r\n__Output__: Reconstruced | ||
80 | trajectory information for all 82 reconstructed | 80 | trajectory information for all 82 reconstructed | ||
81 | trajectories\r\n\r\n__Video__: available video streams for all | 81 | trajectories\r\n\r\n__Video__: available video streams for all | ||
82 | runs\r\n\r\n\r\n## Further information \r\nPreceeding publications | 82 | runs\r\n\r\n\r\n## Further information \r\nPreceeding publications | ||
83 | concering the deployed sensors and the reconstruction methods are | 83 | concering the deployed sensors and the reconstruction methods are | ||
84 | found in the subsequent references:\r\n\r\nA. Caviezel et al., Design | 84 | found in the subsequent references:\r\n\r\nA. Caviezel et al., Design | ||
85 | and Evaluation of a Low-Power Sensor Device for Induced Rockfall | 85 | and Evaluation of a Low-Power Sensor Device for Induced Rockfall | ||
86 | Experiments, IEEE Transactions on Instrumentation and Measurement, | 86 | Experiments, IEEE Transactions on Instrumentation and Measurement, | ||
87 | 2018, 67, 767-779, http://ieeexplore.ieee.org/document/8122020/\r\nP. | 87 | 2018, 67, 767-779, http://ieeexplore.ieee.org/document/8122020/\r\nP. | ||
88 | Niklaus et al., StoneNode: A low-power sensor device for induced | 88 | Niklaus et al., StoneNode: A low-power sensor device for induced | ||
89 | rockfall experiments, 2017 IEEE Sensors Applications Symposium (SAS), | 89 | rockfall experiments, 2017 IEEE Sensors Applications Symposium (SAS), | ||
90 | 2017, 1-6, | 90 | 2017, 1-6, | ||
91 | http://ieeexplore.ieee.org/document/7894081/\r\n\r\nCaviezel, A., | 91 | http://ieeexplore.ieee.org/document/7894081/\r\n\r\nCaviezel, A., | ||
92 | Demmel, S. E., Ringenbach, A., B\u00fchler, Y., Lu, G., Christen, M., | 92 | Demmel, S. E., Ringenbach, A., B\u00fchler, Y., Lu, G., Christen, M., | ||
93 | Dinneen, C. E., Eberhard, L. A., von Rickenbach, D., and Bartelt, P.: | 93 | Dinneen, C. E., Eberhard, L. A., von Rickenbach, D., and Bartelt, P.: | ||
94 | Reconstruction of four-dimensional rockfall trajectories using remote | 94 | Reconstruction of four-dimensional rockfall trajectories using remote | ||
95 | sensing and rock-based accelerometers and gyroscopes, Earth Surf. | 95 | sensing and rock-based accelerometers and gyroscopes, Earth Surf. | ||
96 | Dynam., 7, 199\u2013210, https://doi.org/10.5194/esurf-7-199-2019, | 96 | Dynam., 7, 199\u2013210, https://doi.org/10.5194/esurf-7-199-2019, | ||
97 | 2019", | 97 | 2019", | ||
98 | "num_resources": 5, | 98 | "num_resources": 5, | ||
99 | "num_tags": 9, | 99 | "num_tags": 9, | ||
100 | "organization": { | 100 | "organization": { | ||
101 | "approval_status": "approved", | 101 | "approval_status": "approved", | ||
102 | "created": "2016-05-24T16:15:21.861195", | 102 | "created": "2016-05-24T16:15:21.861195", | ||
103 | "description": "The WSL Institute for Snow and Avalanche Research | 103 | "description": "The WSL Institute for Snow and Avalanche Research | ||
104 | SLF is an interdisciplinary research and service centre located in | 104 | SLF is an interdisciplinary research and service centre located in | ||
105 | Davos Dorf. It forms part of the WSL \u2013 the Swiss Federal | 105 | Davos Dorf. It forms part of the WSL \u2013 the Swiss Federal | ||
106 | Institute for Forest, Snow and Landscape Research \u2013 and thus | 106 | Institute for Forest, Snow and Landscape Research \u2013 and thus | ||
107 | belongs to the domain of the ETH (Swiss Federal Institutes of | 107 | belongs to the domain of the ETH (Swiss Federal Institutes of | ||
108 | Technology). Its scientists conduct research on snow, the atmosphere, | 108 | Technology). Its scientists conduct research on snow, the atmosphere, | ||
109 | natural hazards, permafrost and mountain ecological systems, and | 109 | natural hazards, permafrost and mountain ecological systems, and | ||
110 | develop innovative products that translate their knowledge into | 110 | develop innovative products that translate their knowledge into | ||
111 | practical applications. The SLF seeks to engage in top-level research | 111 | practical applications. The SLF seeks to engage in top-level research | ||
112 | while contributing to the resolution of urgent societal issues, for | 112 | while contributing to the resolution of urgent societal issues, for | ||
113 | example in the fields of natural hazard warning systems and the | 113 | example in the fields of natural hazard warning systems and the | ||
114 | analysis of climate and environmental change. \r\n\r\n__Further | 114 | analysis of climate and environmental change. \r\n\r\n__Further | ||
115 | information__: https://www.slf.ch", | 115 | information__: https://www.slf.ch", | ||
116 | "id": "a17b145f-2191-4c21-aabf-55661d5cb140", | 116 | "id": "a17b145f-2191-4c21-aabf-55661d5cb140", | ||
117 | "image_url": "2016-05-24-141521.837240logoslf.png", | 117 | "image_url": "2016-05-24-141521.837240logoslf.png", | ||
118 | "is_organization": true, | 118 | "is_organization": true, | ||
119 | "name": "slf", | 119 | "name": "slf", | ||
120 | "state": "active", | 120 | "state": "active", | ||
121 | "title": "SLF", | 121 | "title": "SLF", | ||
122 | "type": "organization" | 122 | "type": "organization" | ||
123 | }, | 123 | }, | ||
124 | "owner_org": "a17b145f-2191-4c21-aabf-55661d5cb140", | 124 | "owner_org": "a17b145f-2191-4c21-aabf-55661d5cb140", | ||
125 | "private": false, | 125 | "private": false, | ||
126 | "publication": "{\"publication_year\": \"2020\", \"publisher\": | 126 | "publication": "{\"publication_year\": \"2020\", \"publisher\": | ||
127 | \"EnviDat\"}", | 127 | \"EnviDat\"}", | ||
128 | "publication_state": "published", | 128 | "publication_state": "published", | ||
129 | "related_datasets": "", | 129 | "related_datasets": "", | ||
130 | "related_publications": "", | 130 | "related_publications": "", | ||
131 | "relationships_as_object": [], | 131 | "relationships_as_object": [], | ||
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134 | "resource_type_general": "dataset", | 134 | "resource_type_general": "dataset", | ||
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