Changes
On October 17, 2023 at 3:02:38 PM UTC, admin:
-
Moved Monash Time Series Forecasting Repository from organization Fachgebiet Wissensbasierte Systeme to organization CoyPu Project
f | 1 | { | f | 1 | { |
2 | "author": "Rakshitha Godahewa", | 2 | "author": "Rakshitha Godahewa", | ||
3 | "author_email": "rakshithagw@gmail.com", | 3 | "author_email": "rakshithagw@gmail.com", | ||
4 | "citations": [ | 4 | "citations": [ | ||
5 | { | 5 | { | ||
6 | "cited_in": "" | 6 | "cited_in": "" | ||
7 | } | 7 | } | ||
8 | ], | 8 | ], | ||
9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
10 | "doi": "10.57702/phd0av56", | 10 | "doi": "10.57702/phd0av56", | ||
11 | "doi_date_published": "2023-10-17", | 11 | "doi_date_published": "2023-10-17", | ||
12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
13 | "doi_status": true, | 13 | "doi_status": true, | ||
14 | "domain": "https://service.tib.eu/ldmservice", | 14 | "domain": "https://service.tib.eu/ldmservice", | ||
15 | "extra_authors": [ | 15 | "extra_authors": [ | ||
16 | { | 16 | { | ||
17 | "extra_author": "", | 17 | "extra_author": "", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | } | 19 | } | ||
20 | ], | 20 | ], | ||
21 | "extras": [ | 21 | "extras": [ | ||
22 | { | 22 | { | ||
23 | "__extras": { | 23 | "__extras": { | ||
24 | "id": "88998de4-71c1-4a56-adbf-f397070ace29", | 24 | "id": "88998de4-71c1-4a56-adbf-f397070ace29", | ||
25 | "package_id": "81526280-9dab-44c6-9047-44256fef9ac1", | 25 | "package_id": "81526280-9dab-44c6-9047-44256fef9ac1", | ||
26 | "state": "active" | 26 | "state": "active" | ||
27 | }, | 27 | }, | ||
28 | "key": "", | 28 | "key": "", | ||
29 | "value": "" | 29 | "value": "" | ||
30 | } | 30 | } | ||
31 | ], | 31 | ], | ||
32 | "groups": [], | 32 | "groups": [], | ||
33 | "id": "81526280-9dab-44c6-9047-44256fef9ac1", | 33 | "id": "81526280-9dab-44c6-9047-44256fef9ac1", | ||
34 | "isopen": false, | 34 | "isopen": false, | ||
35 | "license_id": "notspecified", | 35 | "license_id": "notspecified", | ||
36 | "license_title": "License not specified", | 36 | "license_title": "License not specified", | ||
37 | "maintainer": "Rakshitha Godahewa", | 37 | "maintainer": "Rakshitha Godahewa", | ||
38 | "maintainer_email": "rakshithagw@gmail.com", | 38 | "maintainer_email": "rakshithagw@gmail.com", | ||
39 | "metadata_created": "2023-10-17T10:32:45.654431", | 39 | "metadata_created": "2023-10-17T10:32:45.654431", | ||
n | 40 | "metadata_modified": "2023-10-17T10:33:09.356209", | n | 40 | "metadata_modified": "2023-10-17T15:02:37.479278", |
41 | "name": "monash-time-series-forecasting-repository", | 41 | "name": "monash-time-series-forecasting-repository", | ||
42 | "notes": "All datasets contain univariate time series and they are | 42 | "notes": "All datasets contain univariate time series and they are | ||
43 | available in a new format that we name as .tsf, pioneered by the | 43 | available in a new format that we name as .tsf, pioneered by the | ||
44 | sktime .ts format. ", | 44 | sktime .ts format. ", | ||
45 | "num_resources": 1, | 45 | "num_resources": 1, | ||
46 | "num_tags": 1, | 46 | "num_tags": 1, | ||
47 | "orcid": "0000-0002-1333-7249", | 47 | "orcid": "0000-0002-1333-7249", | ||
48 | "organization": { | 48 | "organization": { | ||
49 | "approval_status": "approved", | 49 | "approval_status": "approved", | ||
n | 50 | "created": "2021-10-14T10:16:00.536197", | n | 50 | "created": "2023-08-07T12:04:12.302422", |
51 | "description": "\r\n* Appelstra\u00dfe 4 // 2. Stock\r\n* 30167 | 51 | "description": "The CoyPu project addresses the complex economic | ||
52 | Hannover\r\n* Tel : +49 (0)511 762 19711 \r\n* | 52 | challenges in crisis situations with an intelligent platform for the | ||
53 | https://www2.kbs.uni-hannover.de/", | 53 | integration, structuring, networking, analysis, and evaluation of | ||
54 | "id": "54c88c71-bd87-4e73-8440-b909e4c3877b", | 54 | heterogeneous data from economic value networks as well as the | ||
55 | "image_url": "", | 55 | industry environment and social context. Based on cognitive modeling | ||
56 | of data within a funded system of networked knowledge graphs and | ||||
57 | flexibly configurable AI analysis tools, the CoyPu platform enables | ||||
58 | high-quality and up-to-date insights into economic facts, trends, | ||||
59 | causal relationships, and forecasts. The crisis-relevant questions | ||||
60 | that can be answered in this way can relate to individual value-added | ||||
61 | networks or specific value-added chains, to different regions,", | ||||
62 | "id": "59ccea22-9e13-42ff-bcff-7fb5bf503183", | ||||
63 | "image_url": "2023-10-17-115721.858859coypu.png", | ||||
56 | "is_organization": true, | 64 | "is_organization": true, | ||
n | 57 | "name": "fachgebiet-wissensbasierte-systeme", | n | 65 | "name": "coypu-project", |
58 | "state": "active", | 66 | "state": "active", | ||
n | 59 | "title": " Fachgebiet Wissensbasierte Systeme", | n | 67 | "title": "CoyPu Project", |
60 | "type": "organization" | 68 | "type": "organization" | ||
61 | }, | 69 | }, | ||
t | 62 | "owner_org": "54c88c71-bd87-4e73-8440-b909e4c3877b", | t | 70 | "owner_org": "59ccea22-9e13-42ff-bcff-7fb5bf503183", |
63 | "private": false, | 71 | "private": false, | ||
64 | "publications": [ | 72 | "publications": [ | ||
65 | { | 73 | { | ||
66 | "published_in": "" | 74 | "published_in": "" | ||
67 | } | 75 | } | ||
68 | ], | 76 | ], | ||
69 | "relationships_as_object": [], | 77 | "relationships_as_object": [], | ||
70 | "relationships_as_subject": [], | 78 | "relationships_as_subject": [], | ||
71 | "resources": [ | 79 | "resources": [ | ||
72 | { | 80 | { | ||
73 | "auto_update": "No", | 81 | "auto_update": "No", | ||
74 | "auto_update_last_update": "", | 82 | "auto_update_last_update": "", | ||
75 | "auto_update_url": "", | 83 | "auto_update_url": "", | ||
76 | "cache_last_updated": null, | 84 | "cache_last_updated": null, | ||
77 | "cache_url": null, | 85 | "cache_url": null, | ||
78 | "created": "2023-10-17T10:33:09.173971", | 86 | "created": "2023-10-17T10:33:09.173971", | ||
79 | "description": "", | 87 | "description": "", | ||
80 | "format": "ZIP", | 88 | "format": "ZIP", | ||
81 | "hash": "", | 89 | "hash": "", | ||
82 | "id": "0eef5200-c357-4cd8-8962-2cd75e664f1e", | 90 | "id": "0eef5200-c357-4cd8-8962-2cd75e664f1e", | ||
83 | "last_modified": "2023-10-17T10:33:09.153591", | 91 | "last_modified": "2023-10-17T10:33:09.153591", | ||
84 | "metadata_modified": "2023-10-17T10:33:09.168096", | 92 | "metadata_modified": "2023-10-17T10:33:09.168096", | ||
85 | "mimetype": "application/zip", | 93 | "mimetype": "application/zip", | ||
86 | "mimetype_inner": null, | 94 | "mimetype_inner": null, | ||
87 | "name": "TSForecasting", | 95 | "name": "TSForecasting", | ||
88 | "package_id": "81526280-9dab-44c6-9047-44256fef9ac1", | 96 | "package_id": "81526280-9dab-44c6-9047-44256fef9ac1", | ||
89 | "position": 0, | 97 | "position": 0, | ||
90 | "resource_type": null, | 98 | "resource_type": null, | ||
91 | "size": 186655, | 99 | "size": 186655, | ||
92 | "state": "active", | 100 | "state": "active", | ||
93 | "url": | 101 | "url": | ||
94 | ef5200-c357-4cd8-8962-2cd75e664f1e/download/tsforecasting-master.zip", | 102 | ef5200-c357-4cd8-8962-2cd75e664f1e/download/tsforecasting-master.zip", | ||
95 | "url_type": "upload" | 103 | "url_type": "upload" | ||
96 | } | 104 | } | ||
97 | ], | 105 | ], | ||
98 | "services_used_list": "", | 106 | "services_used_list": "", | ||
99 | "state": "active", | 107 | "state": "active", | ||
100 | "tags": [ | 108 | "tags": [ | ||
101 | { | 109 | { | ||
102 | "display_name": "Benchmark", | 110 | "display_name": "Benchmark", | ||
103 | "id": "70474eb4-f8bf-42f1-bf26-7511d4f3356c", | 111 | "id": "70474eb4-f8bf-42f1-bf26-7511d4f3356c", | ||
104 | "name": "Benchmark", | 112 | "name": "Benchmark", | ||
105 | "state": "active", | 113 | "state": "active", | ||
106 | "vocabulary_id": null | 114 | "vocabulary_id": null | ||
107 | } | 115 | } | ||
108 | ], | 116 | ], | ||
109 | "title": "Monash Time Series Forecasting Repository", | 117 | "title": "Monash Time Series Forecasting Repository", | ||
110 | "type": "dataset", | 118 | "type": "dataset", | ||
111 | "url": "https://forecastingdata.org/", | 119 | "url": "https://forecastingdata.org/", | ||
112 | "version": "" | 120 | "version": "" | ||
113 | } | 121 | } |