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f | 1 | { | f | 1 | { |
2 | "author": "Huber, Julian", | 2 | "author": "Huber, Julian", | ||
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": "10.35097/1191", | 5 | "doi": "10.35097/1191", | ||
6 | "doi_date_published": "2023", | 6 | "doi_date_published": "2023", | ||
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": "H\u00f6ffer, Jan", | 11 | "extra_author": "H\u00f6ffer, Jan", | ||
12 | "orcid": "" | 12 | "orcid": "" | ||
13 | }, | 13 | }, | ||
14 | { | 14 | { | ||
15 | "extra_author": "Thumm, Jakob", | 15 | "extra_author": "Thumm, Jakob", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Weinhardt, Christof", | 19 | "extra_author": "Weinhardt, Christof", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | } | 21 | } | ||
22 | ], | 22 | ], | ||
23 | "groups": [], | 23 | "groups": [], | ||
24 | "id": "ac20b803-09ea-4901-b532-c715ef8b2168", | 24 | "id": "ac20b803-09ea-4901-b532-c715ef8b2168", | ||
25 | "isopen": false, | 25 | "isopen": false, | ||
26 | "license_id": "CC BY 4.0 Attribution", | 26 | "license_id": "CC BY 4.0 Attribution", | ||
27 | "license_title": "CC BY 4.0 Attribution", | 27 | "license_title": "CC BY 4.0 Attribution", | ||
28 | "metadata_created": "2023-08-04T08:50:15.232491", | 28 | "metadata_created": "2023-08-04T08:50:15.232491", | ||
t | 29 | "metadata_modified": "2023-08-04T08:51:49.856304", | t | 29 | "metadata_modified": "2023-08-04T08:53:20.812252", |
30 | "name": "rdr-doi-10-35097-1191", | 30 | "name": "rdr-doi-10-35097-1191", | ||
31 | "notes": "Abstract: The data set covers mobility diaries in 6.465 | 31 | "notes": "Abstract: The data set covers mobility diaries in 6.465 | ||
32 | German car users for one week. This data set is based on the work of | 32 | German car users for one week. This data set is based on the work of | ||
33 | [1]. The car users noted their mobility behavior in for a whole week. | 33 | [1]. The car users noted their mobility behavior in for a whole week. | ||
34 | The participants started logging their mobility patterns on different | 34 | The participants started logging their mobility patterns on different | ||
35 | days. In the end, the data was aggregated starting on a Monday. The | 35 | days. In the end, the data was aggregated starting on a Monday. The | ||
36 | time of data collection was selected so that there were no holidays in | 36 | time of data collection was selected so that there were no holidays in | ||
37 | the data.\r\nThis data for different driver types are found in the | 37 | the data.\r\nThis data for different driver types are found in the | ||
38 | CSV-files named \"DrivingProfiles_*.CSV\"\r\nDuring the week the | 38 | CSV-files named \"DrivingProfiles_*.CSV\"\r\nDuring the week the | ||
39 | participants noted where they went, \\eg work, shopping, home, the | 39 | participants noted where they went, \\eg work, shopping, home, the | ||
40 | mode of transportation and the distance traveled. This resulted in | 40 | mode of transportation and the distance traveled. This resulted in | ||
41 | mobility diaries in 15 minutes resolution. Each column represents a | 41 | mobility diaries in 15 minutes resolution. Each column represents a | ||
42 | 15-minute slot. One driver is resembled by to lines. First, her | 42 | 15-minute slot. One driver is resembled by to lines. First, her | ||
43 | location, second, her distance traveled by car in the 15-minute | 43 | location, second, her distance traveled by car in the 15-minute | ||
44 | slot.\r\nFrom this data, we derived parking events with different | 44 | slot.\r\nFrom this data, we derived parking events with different | ||
45 | features found in ParkingEventsData.csv\r\n\r\n\r\n\r\n[1] Zumkeller, | 45 | features found in ParkingEventsData.csv\r\n\r\n\r\n\r\n[1] Zumkeller, | ||
46 | D., Chlond, B., Ottmann, P., Kagerbauer, M., & Kuhnimhof, T. (2011). | 46 | D., Chlond, B., Ottmann, P., Kagerbauer, M., & Kuhnimhof, T. (2011). | ||
47 | Deutsches Mobilit\u00e4tspanel (MOP)\u2013wissenschaftliche Begleitung | 47 | Deutsches Mobilit\u00e4tspanel (MOP)\u2013wissenschaftliche Begleitung | ||
48 | und erste Auswertungen. Kurzbericht. Karlsruhe: Institut f\u00fcr | 48 | und erste Auswertungen. Kurzbericht. Karlsruhe: Institut f\u00fcr | ||
49 | Verkehrswesen, Universit\u00e4t Karlsruhe.\r\nThe original data set | 49 | Verkehrswesen, Universit\u00e4t Karlsruhe.\r\nThe original data set | ||
50 | can be acquired via | 50 | can be acquired via | ||
51 | https://daten.clearingstelle-verkehr.de/192/\r\nTechnicalRemarks: Open | 51 | https://daten.clearingstelle-verkehr.de/192/\r\nTechnicalRemarks: Open | ||
52 | CSV data with any editor.", | 52 | CSV data with any editor.", | ||
53 | "num_resources": 0, | 53 | "num_resources": 0, | ||
54 | "num_tags": 3, | 54 | "num_tags": 3, | ||
55 | "orcid": "", | 55 | "orcid": "", | ||
56 | "organization": { | 56 | "organization": { | ||
57 | "approval_status": "approved", | 57 | "approval_status": "approved", | ||
58 | "created": "2023-01-12T13:30:23.238233", | 58 | "created": "2023-01-12T13:30:23.238233", | ||
59 | "description": "RADAR (Research Data Repository) is a | 59 | "description": "RADAR (Research Data Repository) is a | ||
60 | cross-disciplinary repository for archiving and publishing research | 60 | cross-disciplinary repository for archiving and publishing research | ||
61 | data from completed scientific studies and projects. The focus is on | 61 | data from completed scientific studies and projects. The focus is on | ||
62 | research data from subjects that do not yet have their own | 62 | research data from subjects that do not yet have their own | ||
63 | discipline-specific infrastructures for research data management. ", | 63 | discipline-specific infrastructures for research data management. ", | ||
64 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 64 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
65 | "image_url": "radar-logo.svg", | 65 | "image_url": "radar-logo.svg", | ||
66 | "is_organization": true, | 66 | "is_organization": true, | ||
67 | "name": "radar", | 67 | "name": "radar", | ||
68 | "state": "active", | 68 | "state": "active", | ||
69 | "title": "RADAR", | 69 | "title": "RADAR", | ||
70 | "type": "organization" | 70 | "type": "organization" | ||
71 | }, | 71 | }, | ||
72 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 72 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
73 | "private": false, | 73 | "private": false, | ||
74 | "production_year": "2019", | 74 | "production_year": "2019", | ||
75 | "publication_year": "2023", | 75 | "publication_year": "2023", | ||
76 | "publishers": [ | 76 | "publishers": [ | ||
77 | { | 77 | { | ||
78 | "publisher": "Karlsruhe Institute of Technology" | 78 | "publisher": "Karlsruhe Institute of Technology" | ||
79 | } | 79 | } | ||
80 | ], | 80 | ], | ||
81 | "relationships_as_object": [], | 81 | "relationships_as_object": [], | ||
82 | "relationships_as_subject": [], | 82 | "relationships_as_subject": [], | ||
83 | "repository_name": "RADAR (Research Data Repository)", | 83 | "repository_name": "RADAR (Research Data Repository)", | ||
84 | "resources": [], | 84 | "resources": [], | ||
85 | "services_used_list": "", | 85 | "services_used_list": "", | ||
86 | "source_metadata_created": "2023", | 86 | "source_metadata_created": "2023", | ||
87 | "source_metadata_modified": "", | 87 | "source_metadata_modified": "", | ||
88 | "state": "active", | 88 | "state": "active", | ||
89 | "subject_areas": [ | 89 | "subject_areas": [ | ||
90 | { | 90 | { | ||
91 | "subject_area_additional": "", | 91 | "subject_area_additional": "", | ||
92 | "subject_area_name": "Computer Science" | 92 | "subject_area_name": "Computer Science" | ||
93 | } | 93 | } | ||
94 | ], | 94 | ], | ||
95 | "tags": [ | 95 | "tags": [ | ||
96 | { | 96 | { | ||
97 | "display_name": "Mobility Behavior", | 97 | "display_name": "Mobility Behavior", | ||
98 | "id": "f4624eba-b261-4290-88db-ca2c82ab4f86", | 98 | "id": "f4624eba-b261-4290-88db-ca2c82ab4f86", | ||
99 | "name": "Mobility Behavior", | 99 | "name": "Mobility Behavior", | ||
100 | "state": "active", | 100 | "state": "active", | ||
101 | "vocabulary_id": null | 101 | "vocabulary_id": null | ||
102 | }, | 102 | }, | ||
103 | { | 103 | { | ||
104 | "display_name": "Parking Duration", | 104 | "display_name": "Parking Duration", | ||
105 | "id": "1f9f9e7c-1a46-467e-9fa8-4093603602e5", | 105 | "id": "1f9f9e7c-1a46-467e-9fa8-4093603602e5", | ||
106 | "name": "Parking Duration", | 106 | "name": "Parking Duration", | ||
107 | "state": "active", | 107 | "state": "active", | ||
108 | "vocabulary_id": null | 108 | "vocabulary_id": null | ||
109 | }, | 109 | }, | ||
110 | { | 110 | { | ||
111 | "display_name": "Trip Data", | 111 | "display_name": "Trip Data", | ||
112 | "id": "301f0a19-1ec3-4ca0-bd40-0380b5ffc3c8", | 112 | "id": "301f0a19-1ec3-4ca0-bd40-0380b5ffc3c8", | ||
113 | "name": "Trip Data", | 113 | "name": "Trip Data", | ||
114 | "state": "active", | 114 | "state": "active", | ||
115 | "vocabulary_id": null | 115 | "vocabulary_id": null | ||
116 | } | 116 | } | ||
117 | ], | 117 | ], | ||
118 | "title": "Parking events derived from trip data from mid2008", | 118 | "title": "Parking events derived from trip data from mid2008", | ||
119 | "type": "vdataset", | 119 | "type": "vdataset", | ||
120 | "url": "https://doi.org/10.35097/1191" | 120 | "url": "https://doi.org/10.35097/1191" | ||
121 | } | 121 | } |