|
1
|
|
|
from pathlib import Path |
|
2
|
|
|
import os |
|
3
|
|
|
|
|
4
|
|
|
from geoalchemy2 import Geometry |
|
5
|
|
|
from omi.dialects import get_dialect |
|
6
|
|
|
from sqlalchemy import MetaData, Table |
|
7
|
|
|
from sqlalchemy.dialects.postgresql.base import ischema_names |
|
8
|
|
|
|
|
9
|
|
|
from egon.data import __path__ as data_path |
|
10
|
|
|
from egon.data import db, logger |
|
11
|
|
|
from egon.data.datasets import Dataset |
|
12
|
|
|
from egon.data.db import engine |
|
13
|
|
|
|
|
14
|
|
|
|
|
15
|
|
|
def context(): |
|
16
|
|
|
""" |
|
17
|
|
|
Project context information for metadata |
|
18
|
|
|
|
|
19
|
|
|
Returns |
|
20
|
|
|
------- |
|
21
|
|
|
dict |
|
22
|
|
|
OEP metadata conform data license information |
|
23
|
|
|
""" |
|
24
|
|
|
|
|
25
|
|
|
return { |
|
26
|
|
|
"homepage": "https://ego-n.org/", |
|
27
|
|
|
"documentation": "https://egon-data.readthedocs.io/en/latest/", |
|
28
|
|
|
"sourceCode": "https://github.com/openego/eGon-data", |
|
29
|
|
|
"contact": "https://ego-n.org/partners/", |
|
30
|
|
|
"grantNo": "03EI1002", |
|
31
|
|
|
"fundingAgency": "Bundesministerium für Wirtschaft und Energie", |
|
32
|
|
|
"fundingAgencyLogo": "https://www.innovation-beratung-" |
|
33
|
|
|
"foerderung.de/INNO/Redaktion/DE/Bilder/" |
|
34
|
|
|
"Titelbilder/titel_foerderlogo_bmwi.jpg?" |
|
35
|
|
|
"__blob=normal&v=3", |
|
36
|
|
|
"publisherLogo": "https://ego-n.org/images/eGon_logo_" |
|
37
|
|
|
"noborder_transbg.svg", |
|
38
|
|
|
} |
|
39
|
|
|
|
|
40
|
|
|
|
|
41
|
|
|
def meta_metadata(): |
|
42
|
|
|
""" |
|
43
|
|
|
Meta data on metadata |
|
44
|
|
|
|
|
45
|
|
|
Returns |
|
46
|
|
|
------- |
|
47
|
|
|
dict |
|
48
|
|
|
OEP metadata conform metadata on metadata |
|
49
|
|
|
""" |
|
50
|
|
|
|
|
51
|
|
|
return { |
|
52
|
|
|
"metadataVersion": "OEP-1.4.1", |
|
53
|
|
|
"metadataLicense": { |
|
54
|
|
|
"name": "CC0-1.0", |
|
55
|
|
|
"title": "Creative Commons Zero v1.0 Universal", |
|
56
|
|
|
"path": ("https://creativecommons.org/publicdomain/zero/1.0/"), |
|
57
|
|
|
}, |
|
58
|
|
|
} |
|
59
|
|
|
|
|
60
|
|
|
|
|
61
|
|
|
def licenses_datenlizenz_deutschland(attribution): |
|
62
|
|
|
""" |
|
63
|
|
|
License information for Datenlizenz Deutschland |
|
64
|
|
|
|
|
65
|
|
|
Parameters |
|
66
|
|
|
---------- |
|
67
|
|
|
attribution : str |
|
68
|
|
|
Attribution for the dataset incl. © symbol, e.g. '© GeoBasis-DE / BKG' |
|
69
|
|
|
|
|
70
|
|
|
Returns |
|
71
|
|
|
------- |
|
72
|
|
|
dict |
|
73
|
|
|
OEP metadata conform data license information |
|
74
|
|
|
""" |
|
75
|
|
|
|
|
76
|
|
|
return { |
|
77
|
|
|
"name": "dl-by-de/2.0", |
|
78
|
|
|
"title": "Datenlizenz Deutschland – Namensnennung – Version 2.0", |
|
79
|
|
|
"path": "www.govdata.de/dl-de/by-2-0", |
|
80
|
|
|
"instruction": ( |
|
81
|
|
|
"Jede Nutzung ist unter den Bedingungen dieser „Datenlizenz " |
|
82
|
|
|
"Deutschland - Namensnennung - Version 2.0 zulässig.\nDie " |
|
83
|
|
|
"bereitgestellten Daten und Metadaten dürfen für die " |
|
84
|
|
|
"kommerzielle und nicht kommerzielle Nutzung insbesondere:" |
|
85
|
|
|
"(1) vervielfältigt, ausgedruckt, präsentiert, verändert, " |
|
86
|
|
|
"bearbeitet sowie an Dritte übermittelt werden;\n " |
|
87
|
|
|
"(2) mit eigenen Daten und Daten Anderer zusammengeführt und " |
|
88
|
|
|
"zu selbständigen neuen Datensätzen verbunden werden;\n " |
|
89
|
|
|
"(3) in interne und externe Geschäftsprozesse, Produkte und " |
|
90
|
|
|
"Anwendungen in öffentlichen und nicht öffentlichen " |
|
91
|
|
|
"elektronischen Netzwerken eingebunden werden.\n" |
|
92
|
|
|
"Bei der Nutzung ist sicherzustellen, dass folgende Angaben " |
|
93
|
|
|
"als Quellenvermerk enthalten sind:\n" |
|
94
|
|
|
"(1) Bezeichnung des Bereitstellers nach dessen Maßgabe,\n" |
|
95
|
|
|
"(2) der Vermerk Datenlizenz Deutschland – Namensnennung – " |
|
96
|
|
|
"Version 2.0 oder dl-de/by-2-0 mit Verweis auf den Lizenztext " |
|
97
|
|
|
"unter www.govdata.de/dl-de/by-2-0 sowie\n" |
|
98
|
|
|
"(3) einen Verweis auf den Datensatz (URI)." |
|
99
|
|
|
"Dies gilt nur soweit die datenhaltende Stelle die Angaben" |
|
100
|
|
|
"(1) bis (3) zum Quellenvermerk bereitstellt.\n" |
|
101
|
|
|
"Veränderungen, Bearbeitungen, neue Gestaltungen oder " |
|
102
|
|
|
"sonstige Abwandlungen sind im Quellenvermerk mit dem Hinweis " |
|
103
|
|
|
"zu versehen, dass die Daten geändert wurden." |
|
104
|
|
|
), |
|
105
|
|
|
"attribution": attribution, |
|
106
|
|
|
} |
|
107
|
|
|
|
|
108
|
|
|
|
|
109
|
|
|
def license_odbl(attribution): |
|
110
|
|
|
""" |
|
111
|
|
|
License information for Open Data Commons Open Database License (ODbL-1.0) |
|
112
|
|
|
|
|
113
|
|
|
Parameters |
|
114
|
|
|
---------- |
|
115
|
|
|
attribution : str |
|
116
|
|
|
Attribution for the dataset incl. © symbol, e.g. |
|
117
|
|
|
'© OpenStreetMap contributors' |
|
118
|
|
|
|
|
119
|
|
|
Returns |
|
120
|
|
|
------- |
|
121
|
|
|
dict |
|
122
|
|
|
OEP metadata conform data license information |
|
123
|
|
|
""" |
|
124
|
|
|
return { |
|
125
|
|
|
"name": "ODbL-1.0", |
|
126
|
|
|
"title": "Open Data Commons Open Database License 1.0", |
|
127
|
|
|
"path": "https://opendatacommons.org/licenses/odbl/1.0/index.html", |
|
128
|
|
|
"instruction": "You are free: To Share, To Create, To Adapt; " |
|
129
|
|
|
"As long as you: Attribute, Share-Alike, Keep open!", |
|
130
|
|
|
"attribution": attribution, |
|
131
|
|
|
} |
|
132
|
|
|
|
|
133
|
|
|
|
|
134
|
|
|
def license_ccby(attribution): |
|
135
|
|
|
""" |
|
136
|
|
|
License information for Creative Commons Attribution 4.0 International |
|
137
|
|
|
(CC-BY-4.0) |
|
138
|
|
|
|
|
139
|
|
|
Parameters |
|
140
|
|
|
---------- |
|
141
|
|
|
attribution : str |
|
142
|
|
|
Attribution for the dataset incl. © symbol, e.g. '© GeoBasis-DE / BKG' |
|
143
|
|
|
|
|
144
|
|
|
Returns |
|
145
|
|
|
------- |
|
146
|
|
|
dict |
|
147
|
|
|
OEP metadata conform data license information |
|
148
|
|
|
""" |
|
149
|
|
|
return { |
|
150
|
|
|
"name": "CC-BY-4.0", |
|
151
|
|
|
"title": "Creative Commons Attribution 4.0 International", |
|
152
|
|
|
"path": "https://creativecommons.org/licenses/by/4.0/legalcode", |
|
153
|
|
|
"instruction": "You are free: To Share, To Create, To Adapt; " |
|
154
|
|
|
"As long as you: Attribute.", |
|
155
|
|
|
"attribution": attribution, |
|
156
|
|
|
} |
|
157
|
|
|
|
|
158
|
|
|
|
|
159
|
|
|
def license_geonutzv(attribution): |
|
160
|
|
|
""" |
|
161
|
|
|
License information for GeoNutzV |
|
162
|
|
|
|
|
163
|
|
|
Parameters |
|
164
|
|
|
---------- |
|
165
|
|
|
attribution : str |
|
166
|
|
|
Attribution for the dataset incl. © symbol, e.g. '© GeoBasis-DE / BKG' |
|
167
|
|
|
|
|
168
|
|
|
Returns |
|
169
|
|
|
------- |
|
170
|
|
|
dict |
|
171
|
|
|
OEP metadata conform data license information |
|
172
|
|
|
""" |
|
173
|
|
|
return { |
|
174
|
|
|
"name": "geonutzv-de-2013-03-19", |
|
175
|
|
|
"title": "Verordnung zur Festlegung der Nutzungsbestimmungen für die " |
|
176
|
|
|
"Bereitstellung von Geodaten des Bundes", |
|
177
|
|
|
"path": "https://www.gesetze-im-internet.de/geonutzv/", |
|
178
|
|
|
"instruction": "Geodaten und Geodatendienste, einschließlich " |
|
179
|
|
|
"zugehöriger Metadaten, werden für alle derzeit " |
|
180
|
|
|
"bekannten sowie für alle zukünftig bekannten Zwecke " |
|
181
|
|
|
"kommerzieller und nicht kommerzieller Nutzung " |
|
182
|
|
|
"geldleistungsfrei zur Verfügung gestellt, soweit " |
|
183
|
|
|
"durch besondere Rechtsvorschrift nichts anderes " |
|
184
|
|
|
"bestimmt ist oder vertragliche oder gesetzliche " |
|
185
|
|
|
"Rechte Dritter dem nicht entgegenstehen.", |
|
186
|
|
|
"attribution": attribution, |
|
187
|
|
|
} |
|
188
|
|
|
|
|
189
|
|
|
|
|
190
|
|
|
def license_agpl(attribution): |
|
191
|
|
|
""" |
|
192
|
|
|
License information for GNU Affero General Public License v3.0 |
|
193
|
|
|
|
|
194
|
|
|
Parameters |
|
195
|
|
|
---------- |
|
196
|
|
|
attribution : str |
|
197
|
|
|
Attribution for the dataset incl. © symbol, e.g. '© GeoBasis-DE / BKG' |
|
198
|
|
|
|
|
199
|
|
|
Returns |
|
200
|
|
|
------- |
|
201
|
|
|
dict |
|
202
|
|
|
OEP metadata conform data license information |
|
203
|
|
|
""" |
|
204
|
|
|
return { |
|
205
|
|
|
"name": "AGPL-3.0 License", |
|
206
|
|
|
"title": "GNU Affero General Public License v3.0", |
|
207
|
|
|
"path": "https://www.gnu.org/licenses/agpl-3.0.de.html", |
|
208
|
|
|
"instruction": "Permissions of this strongest copyleft license are" |
|
209
|
|
|
"conditioned on making available complete source code of licensed " |
|
210
|
|
|
"works and modifications, which include larger works using a licensed" |
|
211
|
|
|
"work, under the same license. Copyright and license notices must be" |
|
212
|
|
|
"preserved. Contributors provide an express grant of patent rights." |
|
213
|
|
|
"When a modified version is used to provide a service over a network," |
|
214
|
|
|
"the complete source code of the modified version must be made " |
|
215
|
|
|
"available.", |
|
216
|
|
|
"attribution": attribution, |
|
217
|
|
|
} |
|
218
|
|
|
|
|
219
|
|
|
|
|
220
|
|
|
def license_dedl(attribution): |
|
221
|
|
|
""" |
|
222
|
|
|
License information for Data licence Germany – attribution – version 2.0 |
|
223
|
|
|
|
|
224
|
|
|
Parameters |
|
225
|
|
|
---------- |
|
226
|
|
|
attribution : str |
|
227
|
|
|
Attribution for the dataset incl. © symbol, e.g. '© GeoBasis-DE / BKG' |
|
228
|
|
|
|
|
229
|
|
|
Returns |
|
230
|
|
|
------- |
|
231
|
|
|
dict |
|
232
|
|
|
OEP metadata conform data license information |
|
233
|
|
|
""" |
|
234
|
|
|
return { |
|
235
|
|
|
"name": "DL-DE-BY-2.0", |
|
236
|
|
|
"title": "Data licence Germany – attribution – version 2.0", |
|
237
|
|
|
"path": "https://www.govdata.de/dl-de/by-2-0", |
|
238
|
|
|
"instruction": ( |
|
239
|
|
|
"Any use will be permitted provided it fulfils the requirements of" |
|
240
|
|
|
" this 'Data licence Germany – attribution – Version 2.0'. The " |
|
241
|
|
|
"data and meta-data provided may, for commercial and " |
|
242
|
|
|
"non-commercial use, in particular be copied, printed, presented, " |
|
243
|
|
|
"altered, processed and transmitted to third parties; be merged " |
|
244
|
|
|
"with own data and with the data of others and be combined to form" |
|
245
|
|
|
" new and independent datasets; be integrated in internal and " |
|
246
|
|
|
"external business processes, products and applications in public " |
|
247
|
|
|
"and non-public electronic networks. The user must ensure that the" |
|
248
|
|
|
" source note contains the following information: the name of the " |
|
249
|
|
|
"provider, the annotation 'Data licence Germany – attribution – " |
|
250
|
|
|
"Version 2.0' or 'dl-de/by-2-0' referring to the licence text " |
|
251
|
|
|
"available at www.govdata.de/dl-de/by-2-0, and a reference to the " |
|
252
|
|
|
"dataset (URI). This applies only if the entity keeping the data " |
|
253
|
|
|
"provides the pieces of information 1-3 for the source note. " |
|
254
|
|
|
"Changes, editing, new designs or other amendments must be marked " |
|
255
|
|
|
"as such in the source note." |
|
256
|
|
|
), |
|
257
|
|
|
"attribution": attribution, |
|
258
|
|
|
} |
|
259
|
|
|
|
|
260
|
|
|
|
|
261
|
|
|
def license_egon_data_odbl(): |
|
262
|
|
|
""" |
|
263
|
|
|
ODbL license with eGon data attribution |
|
264
|
|
|
|
|
265
|
|
|
Returns |
|
266
|
|
|
------- |
|
267
|
|
|
dict |
|
268
|
|
|
OEP metadata conform data license information for eGon tables |
|
269
|
|
|
""" |
|
270
|
|
|
return license_odbl("© eGon development team") |
|
271
|
|
|
|
|
272
|
|
|
|
|
273
|
|
|
def generate_resource_fields_from_sqla_model(model): |
|
274
|
|
|
"""Generate a template for the resource fields for metadata from a SQL |
|
275
|
|
|
Alchemy model. |
|
276
|
|
|
|
|
277
|
|
|
For details on the fields see field 14.6.1 of `Open Energy Metadata |
|
278
|
|
|
<https://github.com/OpenEnergyPlatform/ oemetadata/blob/develop/metadata/ |
|
279
|
|
|
v141/metadata_key_description.md>`_ standard. |
|
280
|
|
|
The fields `name` and `type` are automatically filled, the `description` |
|
281
|
|
|
and `unit` must be filled manually. |
|
282
|
|
|
|
|
283
|
|
|
Examples |
|
284
|
|
|
-------- |
|
285
|
|
|
>>> from egon.data.metadata import generate_resource_fields_from_sqla_model |
|
286
|
|
|
>>> from egon.data.datasets.zensus_vg250 import Vg250Sta |
|
287
|
|
|
>>> resources = generate_resource_fields_from_sqla_model(Vg250Sta) |
|
288
|
|
|
|
|
289
|
|
|
Parameters |
|
290
|
|
|
---------- |
|
291
|
|
|
model : sqlalchemy.ext.declarative.declarative_base() |
|
292
|
|
|
SQLA model |
|
293
|
|
|
|
|
294
|
|
|
Returns |
|
295
|
|
|
------- |
|
296
|
|
|
list of dict |
|
297
|
|
|
Resource fields |
|
298
|
|
|
""" |
|
299
|
|
|
|
|
300
|
|
|
return [ |
|
301
|
|
|
{ |
|
302
|
|
|
"name": col.name, |
|
303
|
|
|
"description": "", |
|
304
|
|
|
"type": str(col.type).lower(), |
|
305
|
|
|
"unit": "none", |
|
306
|
|
|
} |
|
307
|
|
|
for col in model.__table__.columns |
|
308
|
|
|
] |
|
309
|
|
|
|
|
310
|
|
|
|
|
311
|
|
|
def generate_resource_fields_from_db_table(schema, table, geom_columns=None): |
|
312
|
|
|
"""Generate a template for the resource fields for metadata from a |
|
313
|
|
|
database table. |
|
314
|
|
|
|
|
315
|
|
|
For details on the fields see field 14.6.1 of `Open Energy Metadata |
|
316
|
|
|
<https://github.com/OpenEnergyPlatform/ oemetadata/blob/develop/metadata/ |
|
317
|
|
|
v141/metadata_key_description.md>`_ standard. |
|
318
|
|
|
The fields `name` and `type` are automatically filled, the `description` |
|
319
|
|
|
and `unit` must be filled manually. |
|
320
|
|
|
|
|
321
|
|
|
Examples |
|
322
|
|
|
-------- |
|
323
|
|
|
>>> from egon.data.metadata import generate_resource_fields_from_db_table |
|
324
|
|
|
>>> resources = generate_resource_fields_from_db_table( |
|
325
|
|
|
... 'openstreetmap', 'osm_point', ['geom', 'geom_centroid'] |
|
326
|
|
|
... ) # doctest: +SKIP |
|
327
|
|
|
|
|
328
|
|
|
Parameters |
|
329
|
|
|
---------- |
|
330
|
|
|
schema : str |
|
331
|
|
|
The target table's database schema |
|
332
|
|
|
table : str |
|
333
|
|
|
Database table on which to put the given comment |
|
334
|
|
|
geom_columns : list of str |
|
335
|
|
|
Names of all geometry columns in the table. This is required to return |
|
336
|
|
|
Geometry data type for those columns as SQL Alchemy does not recognize |
|
337
|
|
|
them correctly. Defaults to ['geom']. |
|
338
|
|
|
|
|
339
|
|
|
Returns |
|
340
|
|
|
------- |
|
341
|
|
|
list of dict |
|
342
|
|
|
Resource fields |
|
343
|
|
|
""" |
|
344
|
|
|
|
|
345
|
|
|
# handle geometry columns |
|
346
|
|
|
if geom_columns is None: |
|
347
|
|
|
geom_columns = ["geom"] |
|
348
|
|
|
for col in geom_columns: |
|
349
|
|
|
ischema_names[col] = Geometry |
|
350
|
|
|
|
|
351
|
|
|
table = Table( |
|
352
|
|
|
table, MetaData(), schema=schema, autoload=True, autoload_with=engine() |
|
353
|
|
|
) |
|
354
|
|
|
|
|
355
|
|
|
return [ |
|
356
|
|
|
{ |
|
357
|
|
|
"name": col.name, |
|
358
|
|
|
"description": "", |
|
359
|
|
|
"type": str(col.type).lower(), |
|
360
|
|
|
"unit": "none", |
|
361
|
|
|
} |
|
362
|
|
|
for col in table.c |
|
363
|
|
|
] |
|
364
|
|
|
|
|
365
|
|
|
|
|
366
|
|
|
def sources(): |
|
367
|
|
|
return { |
|
368
|
|
|
"bgr_inspee": { |
|
369
|
|
|
"title": "Salt structures in Northern Germany", |
|
370
|
|
|
"description": ( |
|
371
|
|
|
'The application "Information System Salt Structures"' |
|
372
|
|
|
" provides information about the areal distribution of" |
|
373
|
|
|
" salt structures (stocks and pillows) in Northern" |
|
374
|
|
|
" Germany. With general structural describing" |
|
375
|
|
|
" information, such as depth, secondary thickness," |
|
376
|
|
|
" types of use or state of exploration, queries can be" |
|
377
|
|
|
" conducted. Contours of the salt structures can be" |
|
378
|
|
|
" displayed at horizontal cross-sections at four" |
|
379
|
|
|
" different depths up to a maximum depth of 2000 m" |
|
380
|
|
|
" below NN. A data sheet with information and further" |
|
381
|
|
|
" reading is provided for every single salt structure." |
|
382
|
|
|
" Taking into account the fact that this work was" |
|
383
|
|
|
" undertaken at a scale for providing an overview and" |
|
384
|
|
|
" not for investigation of single structures, the scale" |
|
385
|
|
|
" of display is limited to a minimum of 1:300.000." |
|
386
|
|
|
" This web application is the product of a BMWi-funded" |
|
387
|
|
|
' research project "InSpEE" running from the year 2012' |
|
388
|
|
|
' to 2015. The acronym stands for "Information system' |
|
389
|
|
|
" salt structures: planning basis, selection criteria" |
|
390
|
|
|
" and estimation of the potential for the construction" |
|
391
|
|
|
" of salt caverns for the storage of renewable energies" |
|
392
|
|
|
' (hydrogen and compressed air)".' |
|
393
|
|
|
), |
|
394
|
|
|
"path": ( |
|
395
|
|
|
"https://produktcenter.bgr.de/terraCatalog/DetailResult.do" |
|
396
|
|
|
"?fileIdentifier=338136ea-261a-4569-a2bf-92999d09bad2" |
|
397
|
|
|
), |
|
398
|
|
|
"licenses": [license_geonutzv("© BGR, Hannover, 2015")], |
|
399
|
|
|
}, |
|
400
|
|
|
"bgr_inspeeds": { |
|
401
|
|
|
"title": "Flat layered salts in Germany", |
|
402
|
|
|
"description": ( |
|
403
|
|
|
"Which salt formations are suitable for storing" |
|
404
|
|
|
" hydrogen or compressed air?" |
|
405
|
|
|
" In the InSpEE-DS research project, scientists" |
|
406
|
|
|
" developed requirements and criteria for the" |
|
407
|
|
|
" assessment of suitable sites even if their" |
|
408
|
|
|
" exploration is still at an early stage and there is" |
|
409
|
|
|
" little knowledge of the salinaries' structures." |
|
410
|
|
|
" Scientists at DEEP.KBB GmbH in Hanover, worked" |
|
411
|
|
|
" together with their project partners at the Federal" |
|
412
|
|
|
" Institute for Geosciences and Natural Resources and" |
|
413
|
|
|
" the Leibniz University Hanover, Institute for" |
|
414
|
|
|
" Geotechnics Hanover, to develop the planning basis" |
|
415
|
|
|
" for the site selection and for the construction of" |
|
416
|
|
|
" storage caverns in flat layered salt and multiple or" |
|
417
|
|
|
" double saliniferous formations." |
|
418
|
|
|
" Such caverns could store renewable energy in the form" |
|
419
|
|
|
" of hydrogen or compressed air." |
|
420
|
|
|
" While the previous project InSpEE was limited to salt" |
|
421
|
|
|
" formations of great thickness in Northern Germany," |
|
422
|
|
|
" salt horizons of different ages have now been" |
|
423
|
|
|
" examined all over Germany. To estimate the potential," |
|
424
|
|
|
" depth contour maps of the top and the base as well as" |
|
425
|
|
|
" thickness maps of the respective stratigraphic units" |
|
426
|
|
|
" and reference profiles were developed. Information on" |
|
427
|
|
|
" compressed air and hydrogen storage potential were" |
|
428
|
|
|
" given for the identified areas and for the individual" |
|
429
|
|
|
" federal states. The web service" |
|
430
|
|
|
' "Information system for flat layered salt"' |
|
431
|
|
|
" gives access to this data. The scale of display is" |
|
432
|
|
|
" limited to a minimum of 1:300.000. This geographic" |
|
433
|
|
|
" information is product of a BMWi-funded research" |
|
434
|
|
|
' project "InSpEE-DS" running from the year 2015 to' |
|
435
|
|
|
" 2019. The acronym stands for" |
|
436
|
|
|
' "Information system salt: planning basis, selection' |
|
437
|
|
|
" criteria and estimation of the potential for the" |
|
438
|
|
|
" construction of salt caverns for the storage of" |
|
439
|
|
|
" renewable energies (hydrogen and compressed air)" |
|
440
|
|
|
' - double saline and flat salt layers".' |
|
441
|
|
|
), |
|
442
|
|
|
"path": ( |
|
443
|
|
|
"https://produktcenter.bgr.de/terraCatalog/DetailResult.do" |
|
444
|
|
|
"?fileIdentifier=630430b8-4025-4d6f-9a62-025b53bc8b3d" |
|
445
|
|
|
), |
|
446
|
|
|
"licenses": [license_geonutzv("© BGR, Hannover, 2021")], |
|
447
|
|
|
}, |
|
448
|
|
|
"bgr_inspeeds_data_bundle": { |
|
449
|
|
|
"title": ( |
|
450
|
|
|
"Informationssystem Salz: Planungsgrundlagen," |
|
451
|
|
|
" Auswahlkriterien und Potenzialabschätzung für die" |
|
452
|
|
|
" Errichtung von Salzkavernen zur Speicherung von" |
|
453
|
|
|
" Erneuerbaren Energien (Wasserstoff und Druckluft)" |
|
454
|
|
|
" – Doppelsalinare und flach lagernde Salzschichten." |
|
455
|
|
|
" Teilprojekt Bewertungskriterien und" |
|
456
|
|
|
" Potenzialabschätzung" |
|
457
|
|
|
), |
|
458
|
|
|
"description": ( |
|
459
|
|
|
"Shapefiles corresponding to the data provided in" |
|
460
|
|
|
" figure 7-1 (Donadei, S., et al., 2020, p. 7-5)." |
|
461
|
|
|
" The energy storage potential data are provided per" |
|
462
|
|
|
" federal state in table 7-1" |
|
463
|
|
|
" (Donadei, S., et al., 2020, p. 7-4)." |
|
464
|
|
|
" Note: Please include all bgr data sources when using" |
|
465
|
|
|
" the data." |
|
466
|
|
|
), |
|
467
|
|
|
"path": "https://dx.doi.org/10.5281/zenodo.4896526", |
|
468
|
|
|
"licenses": [license_geonutzv("© BGR, Hannover, 2021")], |
|
469
|
|
|
}, |
|
470
|
|
|
"bgr_inspeeds_report": { |
|
471
|
|
|
"title": ( |
|
472
|
|
|
"Informationssystem Salz: Planungsgrundlagen," |
|
473
|
|
|
" Auswahlkriterien und Potenzialabschätzung für die" |
|
474
|
|
|
" Errichtung von Salzkavernen zur Speicherung von" |
|
475
|
|
|
" Erneuerbaren Energien (Wasserstoff und Druckluft)" |
|
476
|
|
|
" – Doppelsalinare und flach lagernde Salzschichten." |
|
477
|
|
|
" Teilprojekt Bewertungskriterien und" |
|
478
|
|
|
" Potenzialabschätzung" |
|
479
|
|
|
), |
|
480
|
|
|
"description": ( |
|
481
|
|
|
"The report includes availability of saltstructures for" |
|
482
|
|
|
" energy storage and energy storage potential" |
|
483
|
|
|
" accumulated per federal state in Germany." |
|
484
|
|
|
), |
|
485
|
|
|
"path": ( |
|
486
|
|
|
"https://www.bgr.bund.de/DE/Themen" |
|
487
|
|
|
"/Nutzung_tieferer_Untergrund_CO2Speicherung/Downloads" |
|
488
|
|
|
"/InSpeeDS_TP_Bewertungskriterien.pdf" |
|
489
|
|
|
"?__blob=publicationFile&v=3" |
|
490
|
|
|
), |
|
491
|
|
|
"licenses": [license_geonutzv("© BGR, Hannover, 2021")], |
|
492
|
|
|
}, |
|
493
|
|
|
"demandregio": { |
|
494
|
|
|
"title": "DemandRegio", |
|
495
|
|
|
"description": ( |
|
496
|
|
|
"Harmonisierung und Entwicklung von Verfahren zur" |
|
497
|
|
|
" regionalen und zeitlichen Auflösung von" |
|
498
|
|
|
" Energienachfragen" |
|
499
|
|
|
), |
|
500
|
|
|
"path": "https://doi.org/10.34805/ffe-119-20", |
|
501
|
|
|
"licenses": [license_ccby("© FZJ, TUB, FfE")], |
|
502
|
|
|
}, |
|
503
|
|
|
"egon-data": { |
|
504
|
|
|
"title": "eGon-data", |
|
505
|
|
|
"description": ( |
|
506
|
|
|
"Workflow to download, process and generate data sets" |
|
507
|
|
|
" suitable for the further research conducted in the" |
|
508
|
|
|
" project eGon (https://ego-n.org/)" |
|
509
|
|
|
), |
|
510
|
|
|
"path": "https://github.com/openego/eGon-data", |
|
511
|
|
|
"licenses": [license_agpl("© eGon development team")], |
|
512
|
|
|
}, |
|
513
|
|
|
"egon-data_bundle": { |
|
514
|
|
|
"title": "Data bundle for egon-data", |
|
515
|
|
|
"description": ( |
|
516
|
|
|
"Zenodo repository to provide several different input" |
|
517
|
|
|
" data sets for eGon-data" |
|
518
|
|
|
), |
|
519
|
|
|
"path": "https://sandbox.zenodo.org/record/1167119", |
|
520
|
|
|
"licenses": [license_ccby("© eGon development team")], |
|
521
|
|
|
}, |
|
522
|
|
|
"Einspeiseatlas": { |
|
523
|
|
|
"title": "Einspeiseatlas", |
|
524
|
|
|
"description": ( |
|
525
|
|
|
"Im Einspeiseatlas finden sie sich die Informationen zu" |
|
526
|
|
|
" realisierten und geplanten Biomethanaufbereitungsanlagen" |
|
527
|
|
|
" - mit und ohne Einspeisung ins Gasnetz -" |
|
528
|
|
|
" in Deutschland und weltweit." |
|
529
|
|
|
), |
|
530
|
|
|
"path": "https://www.biogaspartner.de/einspeiseatlas/", |
|
531
|
|
|
"licenses": [ |
|
532
|
|
|
license_ccby("Deutsche Energie-Agentur (dena, 2021)") |
|
533
|
|
|
], |
|
534
|
|
|
}, |
|
535
|
|
|
"era5": { |
|
536
|
|
|
"title": "ERA5 global reanalysis", |
|
537
|
|
|
"description": ( |
|
538
|
|
|
"ERA5 is the fifth generation ECMWF reanalysis for the" |
|
539
|
|
|
" global climate and weather for the past 4 to 7" |
|
540
|
|
|
" decades. Currently data is available from 1950, split" |
|
541
|
|
|
" into Climate Data Store entries for 1950-1978" |
|
542
|
|
|
" (preliminary back extension) and from 1979 onwards" |
|
543
|
|
|
" (final release plus timely updates, this page)." |
|
544
|
|
|
" ERA5 replaces the ERA-Interim reanalysis." |
|
545
|
|
|
" See the online ERA5 documentation (" |
|
546
|
|
|
"https://confluence.ecmwf.int/display/CKB" |
|
547
|
|
|
"/ERA5%3A+data+documentation" |
|
548
|
|
|
"#ERA5:datadocumentation-Dataupdatefrequency)" |
|
549
|
|
|
" for more information." |
|
550
|
|
|
), |
|
551
|
|
|
"path": ( |
|
552
|
|
|
"https://confluence.ecmwf.int/display/CKB" |
|
553
|
|
|
"/ERA5%3A+data+documentation" |
|
554
|
|
|
"#ERA5:datadocumentation-Dataupdatefrequency" |
|
555
|
|
|
), |
|
556
|
|
|
"licenses": [ |
|
557
|
|
|
{ |
|
558
|
|
|
"name": "Licence to use Copernicus Products", |
|
559
|
|
|
"title": "Licence to use Copernicus Products", |
|
560
|
|
|
"path": ( |
|
561
|
|
|
"https://cds.climate.copernicus.eu/api/v2/terms" |
|
562
|
|
|
"/static/licence-to-use-copernicus-products.pdf" |
|
563
|
|
|
), |
|
564
|
|
|
"instruction": ( |
|
565
|
|
|
"This Licence is free of charge, worldwide," |
|
566
|
|
|
" non-exclusive, royalty free and perpetual." |
|
567
|
|
|
" Access to Copernicus Products is given for" |
|
568
|
|
|
" any purpose in so far as it is lawful," |
|
569
|
|
|
" whereas use may include, but is not limited" |
|
570
|
|
|
" to: reproduction; distribution; communication" |
|
571
|
|
|
" to the public; adaptation, modification and" |
|
572
|
|
|
" combination with other data and information;" |
|
573
|
|
|
" or any combination of the foregoing" |
|
574
|
|
|
), |
|
575
|
|
|
"attribution": ( |
|
576
|
|
|
"Copernicus Climate Change Service (C3S)" |
|
577
|
|
|
" Climate Data Store" |
|
578
|
|
|
), |
|
579
|
|
|
}, |
|
580
|
|
|
], |
|
581
|
|
|
}, |
|
582
|
|
|
"dsm-heitkoetter": { |
|
583
|
|
|
"title": ( |
|
584
|
|
|
"Assessment of the regionalised demand response" |
|
585
|
|
|
" potential in Germany using an open source tool and" |
|
586
|
|
|
" dataset" |
|
587
|
|
|
), |
|
588
|
|
|
"description": ( |
|
589
|
|
|
"With the expansion of renewable energies in Germany," |
|
590
|
|
|
" imminent grid congestion events occur more often. One" |
|
591
|
|
|
" approach for avoiding curtailment of renewable" |
|
592
|
|
|
" energies is to cover excess feed-in by demand" |
|
593
|
|
|
" response." |
|
594
|
|
|
" As curtailment is often a local phenomenon, in this" |
|
595
|
|
|
" work we determine the regional demand response" |
|
596
|
|
|
" potential for the 401 German administrative districts" |
|
597
|
|
|
" with a temporal resolution of 15 min, including" |
|
598
|
|
|
" technical, socio-technical and economic restrictions." |
|
599
|
|
|
), |
|
600
|
|
|
"path": "https://doi.org/10.1016/j.adapen.2020.100001", |
|
601
|
|
|
"licenses": [ |
|
602
|
|
|
license_ccby( |
|
603
|
|
|
"© 2020 German Aerospace Center (DLR)," |
|
604
|
|
|
" Institute of Networked Energy Systems." |
|
605
|
|
|
) |
|
606
|
|
|
], |
|
607
|
|
|
}, |
|
608
|
|
|
"hotmaps_industrial_sites": { |
|
609
|
|
|
"titel": "industrial_sites_Industrial_Database", |
|
610
|
|
|
"description": ( |
|
611
|
|
|
"Georeferenced industrial sites of energy-intensive" |
|
612
|
|
|
" industry sectors in EU28" |
|
613
|
|
|
), |
|
614
|
|
|
"path": ( |
|
615
|
|
|
"https://gitlab.com/hotmaps/industrial_sites" |
|
616
|
|
|
"/industrial_sites_Industrial_Database" |
|
617
|
|
|
), |
|
618
|
|
|
"licenses": [ |
|
619
|
|
|
license_ccby("© 2016-2018: Pia Manz, Tobias Fleiter") |
|
620
|
|
|
], |
|
621
|
|
|
}, |
|
622
|
|
|
"hotmaps_scen_buildings": { |
|
623
|
|
|
"titel": "scen_current_building_demand", |
|
624
|
|
|
"description": ( |
|
625
|
|
|
"Energy demand scenarios in buidlings until the year 2050" |
|
626
|
|
|
" - current policy scenario" |
|
627
|
|
|
), |
|
628
|
|
|
"path": "https://gitlab.com/hotmaps/scen_current_building_demand", |
|
629
|
|
|
"licenses": [ |
|
630
|
|
|
license_ccby( |
|
631
|
|
|
"© 2016-2018: Michael Hartner" |
|
632
|
|
|
", Lukas Kranzl" |
|
633
|
|
|
", Sebastian Forthuber" |
|
634
|
|
|
", Sara Fritz" |
|
635
|
|
|
", Andreas Müller" |
|
636
|
|
|
) |
|
637
|
|
|
], |
|
638
|
|
|
}, |
|
639
|
|
|
"mastr": { |
|
640
|
|
|
"title": "open-MaStR power unit registry", |
|
641
|
|
|
"description": ( |
|
642
|
|
|
"Raw data download Marktstammdatenregister (MaStR) data" |
|
643
|
|
|
" using the webservice. All data from the" |
|
644
|
|
|
" Marktstammdatenregister is included. There are" |
|
645
|
|
|
" duplicates included. For further information read in" |
|
646
|
|
|
" the documentation of the original data source:" |
|
647
|
|
|
" https://www.marktstammdatenregister.de/MaStRHilfe" |
|
648
|
|
|
"/subpages/statistik.html" |
|
649
|
|
|
), |
|
650
|
|
|
"path": "https://sandbox.zenodo.org/record/808086", |
|
651
|
|
|
"licenses": [ |
|
652
|
|
|
licenses_datenlizenz_deutschland( |
|
653
|
|
|
"© 2021 Bundesnetzagentur für Elektrizität, Gas," |
|
654
|
|
|
" Telekommunikation, Post und Eisenbahnen" |
|
655
|
|
|
) |
|
656
|
|
|
], |
|
657
|
|
|
}, |
|
658
|
|
|
"nep2021": { |
|
659
|
|
|
"title": ( |
|
660
|
|
|
"Netzentwicklungsplan Strom 2035, Version 2021, erster" |
|
661
|
|
|
" Entwurf" |
|
662
|
|
|
), |
|
663
|
|
|
"description": ( |
|
664
|
|
|
"Die vier deutschen Übertragungsnetzbetreiber zeigen" |
|
665
|
|
|
" mit diesem ersten Entwurf des Netzentwicklungsplans" |
|
666
|
|
|
" 2035, Version 2021, den benötigten Netzausbau für die" |
|
667
|
|
|
" nächsten Jahre auf. Der NEP-Bericht beschreibt keine" |
|
668
|
|
|
" konkreten Trassenverläufe von Übertragungsleitungen," |
|
669
|
|
|
" sondern er dokumentiert den notwendigen" |
|
670
|
|
|
" Übertragungsbedarf zwischen Netzknoten." |
|
671
|
|
|
" Das heißt, es werden Anfangs- und Endpunkte von" |
|
672
|
|
|
" zukünftigen Leitungsverbindungen definiert sowie" |
|
673
|
|
|
" konkrete Empfehlungen für den Aus- und Neubau der" |
|
674
|
|
|
" Übertragungsnetze an Land und auf See in Deutschland" |
|
675
|
|
|
" gemäß den Detailanforderungen im § 12 EnWG gegeben." |
|
676
|
|
|
), |
|
677
|
|
|
"path": "https://zenodo.org/record/5743452#.YbCoz7so8go", |
|
678
|
|
|
"licenses": [license_ccby("© Übertragungsnetzbetreiber")], |
|
679
|
|
|
}, |
|
680
|
|
|
"openffe_gas": { |
|
681
|
|
|
"title": ( |
|
682
|
|
|
"Load Curves of the Industry Sector" |
|
683
|
|
|
" – eXtremOS solidEU Scenario (Europe NUTS-3)" |
|
684
|
|
|
), |
|
685
|
|
|
"description": ( |
|
686
|
|
|
"Load Curves of the Industry Sector for the eXtremOS" |
|
687
|
|
|
" solidEU Scenario Scenario at NUTS-3-Level." |
|
688
|
|
|
" More information at https://extremos.ffe.de/." |
|
689
|
|
|
), |
|
690
|
|
|
"path": ( |
|
691
|
|
|
"http://opendata.ffe.de/dataset" |
|
692
|
|
|
"/load-curves-of-the-industry-sector-extremos-solideu" |
|
693
|
|
|
"-scenario-europe-nuts-3/" |
|
694
|
|
|
), |
|
695
|
|
|
"licenses": [license_ccby("© FfE, eXtremOS Project")], |
|
696
|
|
|
}, |
|
697
|
|
|
"openstreetmap": { |
|
698
|
|
|
"title": "OpenStreetMap Data Extracts (Geofabrik)", |
|
699
|
|
|
"description": ( |
|
700
|
|
|
"Full data extract of OpenStreetMap data for defined" |
|
701
|
|
|
" spatial extent at ''referenceDate''" |
|
702
|
|
|
), |
|
703
|
|
|
"path": ( |
|
704
|
|
|
"https://download.geofabrik.de/europe/germany-210101.osm.pbf" |
|
705
|
|
|
), |
|
706
|
|
|
"licenses": [license_odbl("© OpenStreetMap contributors")], |
|
707
|
|
|
}, |
|
708
|
|
|
"peta": { |
|
709
|
|
|
"title": "Pan-European Thermal Atlas, Peta version 5.0.1", |
|
710
|
|
|
"description": ( |
|
711
|
|
|
"Modelled Heat Demand distribution (in GJ per hectare" |
|
712
|
|
|
" grid cell) for residential and service heat demands" |
|
713
|
|
|
" for space heating and hot water for the year 2015" |
|
714
|
|
|
" using HRE4 data and the combined top-down bottom-up" |
|
715
|
|
|
" approach of HRE4. National sector-specific heat" |
|
716
|
|
|
" demand data, derived by the FORECAST model in HRE4" |
|
717
|
|
|
" for residential (delivered energy, for space heating" |
|
718
|
|
|
" and hot water) and service-sector (delivered energy," |
|
719
|
|
|
" for space heating, hot water and process heat)" |
|
720
|
|
|
" buildings for the year 2015, were distributed using" |
|
721
|
|
|
" modelled, spatial statistics based floor areas in" |
|
722
|
|
|
" 100x100m grids and a population grid. For further" |
|
723
|
|
|
" information please see the documentation available on" |
|
724
|
|
|
" the Heat Roadmap Europe website, in particular D2.3" |
|
725
|
|
|
" report: Methodologies and assumptions used in the" |
|
726
|
|
|
" mapping." |
|
727
|
|
|
), |
|
728
|
|
|
"path": "https://s-eenergies-open-data-euf.hub.arcgis.com/search", |
|
729
|
|
|
"licenses": [ |
|
730
|
|
|
license_ccby( |
|
731
|
|
|
"© Europa-Universität Flensburg" |
|
732
|
|
|
", Halmstad University and Aalborg University" |
|
733
|
|
|
) |
|
734
|
|
|
], |
|
735
|
|
|
}, |
|
736
|
|
|
"pipeline_classification": { |
|
737
|
|
|
"title": ( |
|
738
|
|
|
"Technical pipeline characteristics for high pressure" |
|
739
|
|
|
" pipelines" |
|
740
|
|
|
), |
|
741
|
|
|
"description": ( |
|
742
|
|
|
"Parameters for the classification of gas pipelines," |
|
743
|
|
|
" the whole documentation could is available at:" |
|
744
|
|
|
" https://www.econstor.eu/bitstream/10419/173388/1" |
|
745
|
|
|
"/1011162628.pdf" |
|
746
|
|
|
), |
|
747
|
|
|
"path": "https://zenodo.org/record/5743452", |
|
748
|
|
|
"licenses": [license_ccby("© DIW Berlin, 2017")], |
|
749
|
|
|
}, |
|
750
|
|
|
"schmidt": { |
|
751
|
|
|
"title": ( |
|
752
|
|
|
"Supplementary material to the masters thesis:" |
|
753
|
|
|
" NUTS-3 Regionalization of Industrial Load Shifting" |
|
754
|
|
|
" Potential in Germany using a Time-Resolved Model" |
|
755
|
|
|
), |
|
756
|
|
|
"description": ( |
|
757
|
|
|
"Supplementary material to the named masters thesis," |
|
758
|
|
|
" containing data on industrial processes for the" |
|
759
|
|
|
" estimation of NUTS-3 load shifting potential of" |
|
760
|
|
|
" suitable electrically powered industrial processes" |
|
761
|
|
|
" (cement milling, mechanical pulping, paper" |
|
762
|
|
|
" production, air separation)." |
|
763
|
|
|
), |
|
764
|
|
|
"path": "https://zenodo.org/record/3613767", |
|
765
|
|
|
"licenses": [license_ccby("© 2019 Danielle Schmidt")], |
|
766
|
|
|
}, |
|
767
|
|
|
"SciGRID_gas": { |
|
768
|
|
|
"title": "SciGRID_gas IGGIELGN", |
|
769
|
|
|
"description": ( |
|
770
|
|
|
"The SciGRID_gas dataset represents the European gas" |
|
771
|
|
|
" transport network (pressure levels of 20 bars and" |
|
772
|
|
|
" higher) including the geo-referenced transport" |
|
773
|
|
|
" pipelines, compressor stations, LNG terminals," |
|
774
|
|
|
" storage, production sites, gas power plants, border" |
|
775
|
|
|
" points, and demand time series." |
|
776
|
|
|
), |
|
777
|
|
|
"path": "https://dx.doi.org/10.5281/zenodo.4896526", |
|
778
|
|
|
"licenses": [ |
|
779
|
|
|
license_ccby( |
|
780
|
|
|
"Jan Diettrich; Adam Pluta; Wided Medjroubi (DLR-VE)" |
|
781
|
|
|
), |
|
782
|
|
|
], |
|
783
|
|
|
}, |
|
784
|
|
|
"seenergies": { |
|
785
|
|
|
"title": "D5 1 Industry Dataset With Demand Data", |
|
786
|
|
|
"description": ( |
|
787
|
|
|
"Georeferenced EU28 industrial sites with quantified" |
|
788
|
|
|
" annual excess heat volumes and demand data within" |
|
789
|
|
|
" main sectors: Chemical industry, Iron and steel," |
|
790
|
|
|
" Non-ferrous metals, Non-metallic minerals, Paper and" |
|
791
|
|
|
" printing, and Refineries." |
|
792
|
|
|
), |
|
793
|
|
|
"path": ( |
|
794
|
|
|
"https://s-eenergies-open-data-euf.hub.arcgis.com" |
|
795
|
|
|
"/datasets/5e36c0af918040ed936b4e4c101f611d_0/about" |
|
796
|
|
|
), |
|
797
|
|
|
"licenses": [license_ccby("© Europa-Universität Flensburg")], |
|
798
|
|
|
}, |
|
799
|
|
|
"technology-data": { |
|
800
|
|
|
"titel": "Energy System Technology Data v0.3.0", |
|
801
|
|
|
"description": ( |
|
802
|
|
|
"This script compiles assumptions on energy system" |
|
803
|
|
|
" technologies (such as costs, efficiencies, lifetimes," |
|
804
|
|
|
" etc.) for chosen years (e.g. [2020, 2030, 2050]) from" |
|
805
|
|
|
" a variety of sources into CSV files to be read by" |
|
806
|
|
|
" energy system modelling software. The merged outputs" |
|
807
|
|
|
" have standardized cost years, technology names, units" |
|
808
|
|
|
" and source information." |
|
809
|
|
|
), |
|
810
|
|
|
"path": "https://github.com/PyPSA/technology-data/tree/v0.3.0", |
|
811
|
|
|
"licenses": [ |
|
812
|
|
|
license_agpl( |
|
813
|
|
|
"© Marta Victoria (Aarhus University)" |
|
814
|
|
|
", Kun Zhu (Aarhus University)" |
|
815
|
|
|
", Elisabeth Zeyen (TUB)" |
|
816
|
|
|
", Tom Brown (TUB)" |
|
817
|
|
|
) |
|
818
|
|
|
], |
|
819
|
|
|
}, |
|
820
|
|
|
"tyndp": { |
|
821
|
|
|
"description": ( |
|
822
|
|
|
"ENTSOs’ TYNDP 2020 Scenario Report describes possible" |
|
823
|
|
|
" European energy futures up to 2050. Scenarios are not" |
|
824
|
|
|
" forecasts; they set out a range of possible futures" |
|
825
|
|
|
" used by the ENTSOs to test future electricity and gas" |
|
826
|
|
|
" infrastructure needs and projects. The scenarios are" |
|
827
|
|
|
" ambitious as they deliver a low carbon energy system" |
|
828
|
|
|
" for Europe by 2050. The ENTSOs have developed" |
|
829
|
|
|
" credible scenarios that are guided by technically" |
|
830
|
|
|
" sound pathways, while reflecting country by country" |
|
831
|
|
|
" specifics, so that a pan-European low carbon future" |
|
832
|
|
|
" is achieved." |
|
833
|
|
|
), |
|
834
|
|
|
"path": "https://tyndp.entsoe.eu/maps-data", |
|
835
|
|
|
"licenses": [license_ccby("© ENTSO-E and ENTSOG")], |
|
836
|
|
|
}, |
|
837
|
|
|
"vg250": { |
|
838
|
|
|
"title": "Verwaltungsgebiete 1:250 000 (Ebenen)", |
|
839
|
|
|
"description": ( |
|
840
|
|
|
"Der Datenbestand umfasst sämtliche Verwaltungseinheiten" |
|
841
|
|
|
" der hierarchischen Verwaltungsebenen vom Staat bis zu" |
|
842
|
|
|
" den Gemeinden mit ihren Grenzen, statistischen" |
|
843
|
|
|
" Schlüsselzahlen, Namen der Verwaltungseinheit sowie" |
|
844
|
|
|
" die spezifische Bezeichnung der Verwaltungsebene des" |
|
845
|
|
|
" jeweiligen Landes." |
|
846
|
|
|
), |
|
847
|
|
|
"path": ( |
|
848
|
|
|
"https://daten.gdz.bkg.bund.de/produkte/vg" |
|
849
|
|
|
"/vg250_ebenen_0101/2020" |
|
850
|
|
|
"/vg250_01-01.geo84.shape.ebenen.zip" |
|
851
|
|
|
), |
|
852
|
|
|
"licenses": [ |
|
853
|
|
|
licenses_datenlizenz_deutschland( |
|
854
|
|
|
"© Bundesamt für Kartographie und Geodäsie" |
|
855
|
|
|
" 2020 (Daten verändert)" |
|
856
|
|
|
) |
|
857
|
|
|
], |
|
858
|
|
|
}, |
|
859
|
|
|
"zensus": { |
|
860
|
|
|
"title": ( |
|
861
|
|
|
"Statistisches Bundesamt (Destatis)" |
|
862
|
|
|
" - Ergebnisse des Zensus 2011 zum Download" |
|
863
|
|
|
), |
|
864
|
|
|
"description": ( |
|
865
|
|
|
"Als Download bieten wir Ihnen auf dieser Seite" |
|
866
|
|
|
" zusätzlich zur Zensusdatenbank CSV- und teilweise" |
|
867
|
|
|
" Excel-Tabellen mit umfassenden Personen-, Haushalts-" |
|
868
|
|
|
" und Familien- sowie Gebäude- und Wohnungsmerkmaln." |
|
869
|
|
|
" Die Ergebnisse liegen auf Bundes-, Länder-, Kreis-" |
|
870
|
|
|
" und Gemeindeebene vor. Außerdem sind einzele" |
|
871
|
|
|
" Ergebnisse für Gitterzellen verfügbar." |
|
872
|
|
|
), |
|
873
|
|
|
"path": ( |
|
874
|
|
|
"https://www.zensus2011.de/DE/Home/Aktuelles" |
|
875
|
|
|
"/DemografischeGrunddaten.html" |
|
876
|
|
|
), |
|
877
|
|
|
"licenses": [ |
|
878
|
|
|
licenses_datenlizenz_deutschland( |
|
879
|
|
|
"© Statistische Ämter des Bundes und der Länder 2014" |
|
880
|
|
|
) |
|
881
|
|
|
], |
|
882
|
|
|
}, |
|
883
|
|
|
} |
|
884
|
|
|
|
|
885
|
|
|
|
|
886
|
|
|
def contributors(authorlist): |
|
887
|
|
|
contributors_dict = { |
|
888
|
|
|
"am": { |
|
889
|
|
|
"title": "Aadit Malla", |
|
890
|
|
|
"email": "https://github.com/aadit879", |
|
891
|
|
|
}, |
|
892
|
|
|
"an": { |
|
893
|
|
|
"title": "Amélia Nadal", |
|
894
|
|
|
"email": "https://github.com/AmeliaNadal", |
|
895
|
|
|
}, |
|
896
|
|
|
"cb": { |
|
897
|
|
|
"title": "Clara Büttner", |
|
898
|
|
|
"email": "https://github.com/ClaraBuettner", |
|
899
|
|
|
}, |
|
900
|
|
|
"ce": { |
|
901
|
|
|
"title": "Carlos Epia", |
|
902
|
|
|
"email": "https://github.com/CarlosEpia", |
|
903
|
|
|
}, |
|
904
|
|
|
"fw": { |
|
905
|
|
|
"title": "Francesco Witte", |
|
906
|
|
|
"email": "https://github.com/fwitte", |
|
907
|
|
|
}, |
|
908
|
|
|
"gp": { |
|
909
|
|
|
"title": "Guido Pleßmann", |
|
910
|
|
|
"email": "https://github.com/gplssm", |
|
911
|
|
|
}, |
|
912
|
|
|
"ic": { |
|
913
|
|
|
"title": "Ilka Cußmann", |
|
914
|
|
|
"email": "https://github.com/IlkaCu", |
|
915
|
|
|
}, |
|
916
|
|
|
"ja": { |
|
917
|
|
|
"title": "Jonathan Amme", |
|
918
|
|
|
"email": "https://github.com/nesnoj", |
|
919
|
|
|
}, |
|
920
|
|
|
"je": { |
|
921
|
|
|
"title": "Jane Doe", |
|
922
|
|
|
"email": "https://github.com/JaneDoe", |
|
923
|
|
|
}, |
|
924
|
|
|
"ke": { |
|
925
|
|
|
"title": "Katharina Esterl", |
|
926
|
|
|
"email": "https://github.com/KathiEsterl", |
|
927
|
|
|
}, |
|
928
|
|
|
"kh": { |
|
929
|
|
|
"title": "Kilian Helfenbein", |
|
930
|
|
|
"email": "https://github.com/khelfen", |
|
931
|
|
|
}, |
|
932
|
|
|
"sg": { |
|
933
|
|
|
"title": "Stephan Günther", |
|
934
|
|
|
"email": "https://github.com/gnn", |
|
935
|
|
|
}, |
|
936
|
|
|
"um": { |
|
937
|
|
|
"title": "Ulf Müller", |
|
938
|
|
|
"email": "https://github.com/ulfmueller", |
|
939
|
|
|
}, |
|
940
|
|
|
} |
|
941
|
|
|
return [ |
|
942
|
|
|
{key: value for key, value in contributors_dict[author].items()} |
|
943
|
|
|
for author in authorlist |
|
944
|
|
|
] |
|
945
|
|
|
|
|
946
|
|
|
|
|
947
|
|
|
def upload_json_metadata(): |
|
948
|
|
|
"""Upload json metadata into db from zenodo""" |
|
949
|
|
|
path = Path(data_path[0]) / "json_metadata" |
|
950
|
|
|
|
|
951
|
|
|
v = "oep-v1.4" |
|
952
|
|
|
|
|
953
|
|
|
for file in os.listdir(path=path): |
|
954
|
|
|
if not file.endswith(".json"): |
|
955
|
|
|
continue |
|
956
|
|
|
split = file.split(".") |
|
957
|
|
|
if len(split) != 3: |
|
958
|
|
|
continue |
|
959
|
|
|
schema = split[0] |
|
960
|
|
|
table = split[1] |
|
961
|
|
|
|
|
962
|
|
|
dialect = get_dialect(v)() |
|
963
|
|
|
|
|
964
|
|
|
with open(path / file, "r") as infile: |
|
965
|
|
|
obj = dialect.parse(infile.read()) |
|
966
|
|
|
|
|
967
|
|
|
metadata = f"'{dialect.compile_and_render(obj)}'" |
|
968
|
|
|
db.submit_comment(metadata, schema, table) |
|
969
|
|
|
logger.info(f"Metadata comment for {schema}.{table} stored.") |
|
970
|
|
|
|
|
971
|
|
|
|
|
972
|
|
|
class Json_Metadata(Dataset): |
|
973
|
|
|
def __init__(self, dependencies): |
|
974
|
|
|
super().__init__( |
|
975
|
|
|
name="JsonMetadata", |
|
976
|
|
|
version="0.0.0", |
|
977
|
|
|
dependencies=dependencies, |
|
978
|
|
|
tasks={upload_json_metadata}, |
|
979
|
|
|
) |
|
980
|
|
|
|
openego /
eGon-data
