Changes
On October 10, 2023 at 6:12:22 PM UTC, Administrator:
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Updated description of resource readme.txt in A grain-size driven transition in the deformation mechanism in slow snow compression to
README file gives an overview of the organization of the data
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Changed value of field
resource_size
of resource readme.txt to{"size_value":"","size_units":""}
(previously{"size_value":"","size_units":"kb"}
) in A grain-size driven transition in the deformation mechanism in slow snow compression
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3 | Lawinenforschung SLF\", \"affiliation_02\": \"\", \"affiliation_03\": | 3 | Lawinenforschung SLF\", \"affiliation_02\": \"\", \"affiliation_03\": | ||
4 | \"\", \"email\": \"sundu.kavitha@slf.ch\", \"given_name\": | 4 | \"\", \"email\": \"sundu.kavitha@slf.ch\", \"given_name\": | ||
5 | \"Kavitha\", \"identifier\": \"0000-0002-0445-8591\", \"name\": | 5 | \"Kavitha\", \"identifier\": \"0000-0002-0445-8591\", \"name\": | ||
6 | \"Sundu\"}, {\"affiliation\": \"WSL Institute for Snow and Avalanche | 6 | \"Sundu\"}, {\"affiliation\": \"WSL Institute for Snow and Avalanche | ||
7 | Research SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 7 | Research SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
8 | \"email\": \"rafael.ottersberg@unibe.ch\", \"given_name\": \"Rafael\", | 8 | \"email\": \"rafael.ottersberg@unibe.ch\", \"given_name\": \"Rafael\", | ||
9 | \"identifier\": \"\", \"name\": \"Ottersberg\"}, {\"affiliation\": | 9 | \"identifier\": \"\", \"name\": \"Ottersberg\"}, {\"affiliation\": | ||
10 | \"WSL Institute for Snow and Avalanche Research SLF\", | 10 | \"WSL Institute for Snow and Avalanche Research SLF\", | ||
11 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"email\": | 11 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"email\": | ||
12 | \"jaggi@slf.ch\", \"given_name\": \"Matthias\", \"identifier\": \"\", | 12 | \"jaggi@slf.ch\", \"given_name\": \"Matthias\", \"identifier\": \"\", | ||
13 | \"name\": \"Jaggi\"}, {\"affiliation\": \"WSL Institute for Snow and | 13 | \"name\": \"Jaggi\"}, {\"affiliation\": \"WSL Institute for Snow and | ||
14 | Avalanche Research SLF\", \"affiliation_02\": \"\", | 14 | Avalanche Research SLF\", \"affiliation_02\": \"\", | ||
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22 | "doi": "10.16904/envidat.436", | 22 | "doi": "10.16904/envidat.436", | ||
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32 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | 32 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | ||
33 | "maintainer": "{\"affiliation\": \"WSL Institute for Snow and | 33 | "maintainer": "{\"affiliation\": \"WSL Institute for Snow and | ||
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n | 39 | "metadata_modified": "2023-10-10T18:11:24.920008", | n | 39 | "metadata_modified": "2023-10-10T18:12:22.212220", |
40 | "name": "slow-snow-compression", | 40 | "name": "slow-snow-compression", | ||
41 | "notes": "We conducted consecutive loading-relaxation experiments at | 41 | "notes": "We conducted consecutive loading-relaxation experiments at | ||
42 | low strain rates to study the viscoplastic behavior of the intact ice | 42 | low strain rates to study the viscoplastic behavior of the intact ice | ||
43 | matrix in snow. The experiments were conducted using a | 43 | matrix in snow. The experiments were conducted using a | ||
44 | micro-compression stage within the X-ray tomography scanner in the SLF | 44 | micro-compression stage within the X-ray tomography scanner in the SLF | ||
45 | cold laboratory. \r\n\r\nNext, to evaluate the experiments, a novel, | 45 | cold laboratory. \r\n\r\nNext, to evaluate the experiments, a novel, | ||
46 | implicit solution of a transient scalar model was developed to | 46 | implicit solution of a transient scalar model was developed to | ||
47 | estimate the stress exponent and time scales in the effective creep | 47 | estimate the stress exponent and time scales in the effective creep | ||
48 | relation (Glen's law). The result reveals that, for the first time, a | 48 | relation (Glen's law). The result reveals that, for the first time, a | ||
49 | transition in the exponent in Glen's law depends on geometrical grain | 49 | transition in the exponent in Glen's law depends on geometrical grain | ||
50 | size. A cross-over of stress exponent $n=1.9$ for fine grains to | 50 | size. A cross-over of stress exponent $n=1.9$ for fine grains to | ||
51 | $n=4.4$ for coarse grains is interpreted as a transition from grain | 51 | $n=4.4$ for coarse grains is interpreted as a transition from grain | ||
52 | boundary sliding to dislocation creep. \r\n\r\n\r\nThe dataset | 52 | boundary sliding to dislocation creep. \r\n\r\n\r\nThe dataset | ||
53 | includes compression force data from 11 experiments and corresponding | 53 | includes compression force data from 11 experiments and corresponding | ||
54 | 3D image data from tomography scans.\r\n", | 54 | 3D image data from tomography scans.\r\n", | ||
55 | "num_resources": 3, | 55 | "num_resources": 3, | ||
56 | "num_tags": 5, | 56 | "num_tags": 5, | ||
57 | "organization": { | 57 | "organization": { | ||
58 | "approval_status": "approved", | 58 | "approval_status": "approved", | ||
59 | "created": "2018-11-15T15:27:32.106204", | 59 | "created": "2018-11-15T15:27:32.106204", | ||
60 | "description": "The core topic of the team \"Snow Physics\" is | 60 | "description": "The core topic of the team \"Snow Physics\" is | ||
61 | structure and property of snow and firn at different scales. Our most | 61 | structure and property of snow and firn at different scales. Our most | ||
62 | important tools in the cold laboratory are micro-computed tomography | 62 | important tools in the cold laboratory are micro-computed tomography | ||
63 | (micro-CT), nature-identical snow production, and our in-house | 63 | (micro-CT), nature-identical snow production, and our in-house | ||
64 | designed snow-breeders.\r\n\r\nBased on the three-dimensional | 64 | designed snow-breeders.\r\n\r\nBased on the three-dimensional | ||
65 | representation of snow, we can now calculate fundamental structural | 65 | representation of snow, we can now calculate fundamental structural | ||
66 | parameters as density variations at a spatial resolution of a few | 66 | parameters as density variations at a spatial resolution of a few | ||
67 | millimeters, e.g. revealing the finely layered structure of weak | 67 | millimeters, e.g. revealing the finely layered structure of weak | ||
68 | layers or of polar firn. In addition, the readily available data are | 68 | layers or of polar firn. In addition, the readily available data are | ||
69 | used to calculate the correlation function in all 3D, which enables a | 69 | used to calculate the correlation function in all 3D, which enables a | ||
70 | deeper understanding of the interactions between structure and | 70 | deeper understanding of the interactions between structure and | ||
71 | functional properties, e.g. for microwaves.\r\n\r\nIn addition, we are | 71 | functional properties, e.g. for microwaves.\r\n\r\nIn addition, we are | ||
72 | able to use the exact microstructure of snow for numerical | 72 | able to use the exact microstructure of snow for numerical | ||
73 | simulations. Our own or adapted codes allow to calculate thermal | 73 | simulations. Our own or adapted codes allow to calculate thermal | ||
74 | conductivity, mechanical properties, and optical properties. Direct | 74 | conductivity, mechanical properties, and optical properties. Direct | ||
75 | numerical simulation proves to be a highly valuable tool to understand | 75 | numerical simulation proves to be a highly valuable tool to understand | ||
76 | the complexity of snow.\r\n\r\nOur micro-CT is equipped with the | 76 | the complexity of snow.\r\n\r\nOur micro-CT is equipped with the | ||
77 | ability to perform time-lapse tomography using so called | 77 | ability to perform time-lapse tomography using so called | ||
78 | snow-breeders. The snow breeder made the first in-situ time-lapse | 78 | snow-breeders. The snow breeder made the first in-situ time-lapse | ||
79 | movie of metamorphosing snow under a temperature gradient | 79 | movie of metamorphosing snow under a temperature gradient | ||
80 | possible.\r\n\r\nOur developments don't stop at the microstructure. | 80 | possible.\r\n\r\nOur developments don't stop at the microstructure. | ||
81 | The quantification of snow properties at the larger scale of a snow | 81 | The quantification of snow properties at the larger scale of a snow | ||
82 | profile or on a field requires new techniques to link the micro- to | 82 | profile or on a field requires new techniques to link the micro- to | ||
83 | the macro-scale. For this purpose we developed the SnowMicroPen, a | 83 | the macro-scale. For this purpose we developed the SnowMicroPen, a | ||
84 | high-resolution penetrometer, which is able to discern different snow | 84 | high-resolution penetrometer, which is able to discern different snow | ||
85 | types using signal processing. Near-infrared photography has become a | 85 | types using signal processing. Near-infrared photography has become a | ||
86 | standard tool to quantify spatial variation of the specific surface | 86 | standard tool to quantify spatial variation of the specific surface | ||
87 | area, and, concurrently, the equivalent optical grain size. Currently, | 87 | area, and, concurrently, the equivalent optical grain size. Currently, | ||
88 | we are developing new optical techniques which try to measure density | 88 | we are developing new optical techniques which try to measure density | ||
89 | and specific surface area at the same time.", | 89 | and specific surface area at the same time.", | ||
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93 | "is_organization": true, | 93 | "is_organization": true, | ||
94 | "name": "snow-physics", | 94 | "name": "snow-physics", | ||
95 | "state": "active", | 95 | "state": "active", | ||
96 | "title": "Snow Physics", | 96 | "title": "Snow Physics", | ||
97 | "type": "organization" | 97 | "type": "organization" | ||
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101 | "publication": "{\"publication_year\": \"2023\", \"publisher\": | 101 | "publication": "{\"publication_year\": \"2023\", \"publisher\": | ||
102 | \"EnviDat\"}", | 102 | \"EnviDat\"}", | ||
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233 | "name": "X-RAY TOMOGRAPHY", | 234 | "name": "X-RAY TOMOGRAPHY", | ||
234 | "state": "active", | 235 | "state": "active", | ||
235 | "vocabulary_id": null | 236 | "vocabulary_id": null | ||
236 | } | 237 | } | ||
237 | ], | 238 | ], | ||
238 | "title": "A grain-size driven transition in the deformation | 239 | "title": "A grain-size driven transition in the deformation | ||
239 | mechanism in slow snow compression", | 240 | mechanism in slow snow compression", | ||
240 | "type": "dataset", | 241 | "type": "dataset", | ||
241 | "url": null, | 242 | "url": null, | ||
242 | "version": "1.0" | 243 | "version": "1.0" | ||
243 | } | 244 | } |