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import time |
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from egon.data.db import engine |
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from geoalchemy2 import Geometry |
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from sqlalchemy import MetaData, Table |
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from sqlalchemy.dialects.postgresql.base import ischema_names |
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def context(): |
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""" |
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Project context information for metadata |
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Returns |
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------- |
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dict |
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OEP metadata conform data license information |
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""" |
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return { |
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"homepage": "https://ego-n.org/", |
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"documentation": "https://egon-data.readthedocs.io/en/latest/", |
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"sourceCode": "https://github.com/openego/eGon-data", |
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"contact": "https://ego-n.org/partners/", |
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"grantNo": "03EI1002", |
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"fundingAgency": "Bundesministerium für Wirtschaft und Energie", |
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"fundingAgencyLogo": "https://www.innovation-beratung-" |
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"foerderung.de/INNO/Redaktion/DE/Bilder/" |
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"Titelbilder/titel_foerderlogo_bmwi.jpg?" |
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"__blob=normal&v=3", |
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"publisherLogo": "https://ego-n.org/images/eGon_logo_" |
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"noborder_transbg.svg", |
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} |
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def meta_metadata(): |
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""" |
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Meta data on metadata |
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Returns |
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------- |
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dict |
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OEP metadata conform metadata on metadata |
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""" |
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return { |
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"metadataVersion": "OEP-1.4.1", |
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"metadataLicense": { |
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"name": "CC0-1.0", |
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"title": "Creative Commons Zero v1.0 Universal", |
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"path": ("https://creativecommons.org/publicdomain/zero/1.0/"), |
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}, |
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} |
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def licenses_datenlizenz_deutschland(attribution): |
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""" |
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License information for Datenlizenz Deutschland |
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Parameters |
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---------- |
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attribution : str |
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Attribution for the dataset incl. © symbol, e.g. '© GeoBasis-DE / BKG' |
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Returns |
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------- |
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dict |
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OEP metadata conform data license information |
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""" |
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return { |
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"name": "dl-by-de/2.0", |
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"title": "Datenlizenz Deutschland – Namensnennung – Version 2.0", |
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"path": "www.govdata.de/dl-de/by-2-0", |
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"instruction": ( |
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"Jede Nutzung ist unter den Bedingungen dieser „Datenlizenz " |
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"Deutschland - Namensnennung - Version 2.0 zulässig.\nDie " |
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"bereitgestellten Daten und Metadaten dürfen für die " |
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"kommerzielle und nicht kommerzielle Nutzung insbesondere:" |
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"(1) vervielfältigt, ausgedruckt, präsentiert, verändert, " |
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"bearbeitet sowie an Dritte übermittelt werden;\n " |
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"(2) mit eigenen Daten und Daten Anderer zusammengeführt und " |
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"zu selbständigen neuen Datensätzen verbunden werden;\n " |
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"(3) in interne und externe Geschäftsprozesse, Produkte und " |
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"Anwendungen in öffentlichen und nicht öffentlichen " |
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"elektronischen Netzwerken eingebunden werden.\n" |
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"Bei der Nutzung ist sicherzustellen, dass folgende Angaben " |
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"als Quellenvermerk enthalten sind:\n" |
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"(1) Bezeichnung des Bereitstellers nach dessen Maßgabe,\n" |
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"(2) der Vermerk Datenlizenz Deutschland – Namensnennung – " |
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"Version 2.0 oder dl-de/by-2-0 mit Verweis auf den Lizenztext " |
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"unter www.govdata.de/dl-de/by-2-0 sowie\n" |
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"(3) einen Verweis auf den Datensatz (URI)." |
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"Dies gilt nur soweit die datenhaltende Stelle die Angaben" |
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"(1) bis (3) zum Quellenvermerk bereitstellt.\n" |
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"Veränderungen, Bearbeitungen, neue Gestaltungen oder " |
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"sonstige Abwandlungen sind im Quellenvermerk mit dem Hinweis " |
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"zu versehen, dass die Daten geändert wurden." |
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), |
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"attribution": attribution, |
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} |
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def license_odbl(attribution): |
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""" |
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License information for Open Data Commons Open Database License (ODbL-1.0) |
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Parameters |
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---------- |
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attribution : str |
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Attribution for the dataset incl. © symbol, e.g. |
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'© OpenStreetMap contributors' |
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Returns |
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------- |
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dict |
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OEP metadata conform data license information |
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""" |
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return { |
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"name": "ODbL-1.0", |
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"title": "Open Data Commons Open Database License 1.0", |
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"path": "https://opendatacommons.org/licenses/odbl/1.0/index.html", |
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"instruction": "You are free: To Share, To Create, To Adapt; " |
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"As long as you: Attribute, Share-Alike, Keep open!", |
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"attribution": attribution, |
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} |
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def license_ccby(attribution): |
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""" |
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License information for Creative Commons Attribution 4.0 International |
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(CC-BY-4.0) |
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Parameters |
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---------- |
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attribution : str |
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Attribution for the dataset incl. © symbol, e.g. '© GeoBasis-DE / BKG' |
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Returns |
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------- |
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dict |
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OEP metadata conform data license information |
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""" |
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return { |
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"name": "CC-BY-4.0", |
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"title": "Creative Commons Attribution 4.0 International", |
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"path": "https://creativecommons.org/licenses/by/4.0/legalcode", |
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"instruction": "You are free: To Share, To Create, To Adapt; " |
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"As long as you: Attribute.", |
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"attribution": attribution, |
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} |
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def license_geonutzv(attribution): |
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""" |
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License information for GeoNutzV |
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Parameters |
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---------- |
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attribution : str |
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Attribution for the dataset incl. © symbol, e.g. '© GeoBasis-DE / BKG' |
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Returns |
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------- |
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dict |
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OEP metadata conform data license information |
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""" |
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return { |
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"name": "geonutzv-de-2013-03-19", |
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"title": "Verordnung zur Festlegung der Nutzungsbestimmungen für die " |
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"Bereitstellung von Geodaten des Bundes", |
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"path": "https://www.gesetze-im-internet.de/geonutzv/", |
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"instruction": "Geodaten und Geodatendienste, einschließlich " |
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"zugehöriger Metadaten, werden für alle derzeit " |
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"bekannten sowie für alle zukünftig bekannten Zwecke " |
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"kommerzieller und nicht kommerzieller Nutzung " |
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"geldleistungsfrei zur Verfügung gestellt, soweit " |
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"durch besondere Rechtsvorschrift nichts anderes " |
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"bestimmt ist oder vertragliche oder gesetzliche " |
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"Rechte Dritter dem nicht entgegenstehen.", |
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"attribution": attribution, |
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} |
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def license_agpl(attribution): |
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""" |
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License information for GNU Affero General Public License v3.0 |
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Parameters |
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---------- |
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attribution : str |
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Attribution for the dataset incl. © symbol, e.g. '© GeoBasis-DE / BKG' |
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Returns |
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------- |
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dict |
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OEP metadata conform data license information |
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""" |
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return { |
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"name": "AGPL-3.0 License", |
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"title": "GNU Affero General Public License v3.0", |
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"path": "https://www.gnu.org/licenses/agpl-3.0.de.html", |
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"instruction": "Permissions of this strongest copyleft license are" |
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"conditioned on making available complete source code of licensed " |
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"works and modifications, which include larger works using a licensed" |
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"work, under the same license. Copyright and license notices must be" |
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"preserved. Contributors provide an express grant of patent rights." |
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"When a modified version is used to provide a service over a network," |
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"the complete source code of the modified version must be made available.", |
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"attribution": attribution, |
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} |
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def generate_resource_fields_from_sqla_model(model): |
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"""Generate a template for the resource fields for metadata from a SQL |
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Alchemy model. |
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For details on the fields see field 14.6.1 of `Open Energy Metadata |
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<https://github.com/OpenEnergyPlatform/ oemetadata/blob/develop/metadata/ |
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v141/metadata_key_description.md>`_ standard. |
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The fields `name` and `type` are automatically filled, the `description` |
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and `unit` must be filled manually. |
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Examples |
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-------- |
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>>> from egon.data.metadata import generate_resource_fields_from_sqla_model |
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>>> from egon.data.datasets.zensus_vg250 import Vg250Sta |
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>>> resources = generate_resource_fields_from_sqla_model(Vg250Sta) |
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Parameters |
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---------- |
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model : sqlalchemy.ext.declarative.declarative_base() |
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SQLA model |
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Returns |
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------- |
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list of dict |
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Resource fields |
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""" |
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return [ |
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{ |
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"name": col.name, |
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"description": "", |
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"type": str(col.type).lower(), |
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"unit": "none", |
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} |
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for col in model.__table__.columns |
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] |
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def generate_resource_fields_from_db_table(schema, table, geom_columns=None): |
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"""Generate a template for the resource fields for metadata from a |
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database table. |
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For details on the fields see field 14.6.1 of `Open Energy Metadata |
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<https://github.com/OpenEnergyPlatform/ oemetadata/blob/develop/metadata/ |
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v141/metadata_key_description.md>`_ standard. |
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The fields `name` and `type` are automatically filled, the `description` |
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and `unit` must be filled manually. |
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Examples |
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-------- |
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>>> from egon.data.metadata import generate_resource_fields_from_db_table |
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>>> resources = generate_resource_fields_from_db_table( |
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... 'openstreetmap', 'osm_point', ['geom', 'geom_centroid'] |
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... ) # doctest: +SKIP |
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Parameters |
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---------- |
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schema : str |
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The target table's database schema |
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table : str |
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Database table on which to put the given comment |
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geom_columns : list of str |
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Names of all geometry columns in the table. This is required to return |
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Geometry data type for those columns as SQL Alchemy does not recognize |
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them correctly. Defaults to ['geom']. |
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Returns |
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------- |
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list of dict |
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Resource fields |
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""" |
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# handle geometry columns |
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if geom_columns is None: |
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geom_columns = ["geom"] |
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for col in geom_columns: |
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ischema_names[col] = Geometry |
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table = Table( |
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table, MetaData(), schema=schema, autoload=True, autoload_with=engine() |
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) |
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return [ |
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{ |
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"name": col.name, |
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"description": "", |
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"type": str(col.type).lower(), |
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"unit": "none", |
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} |
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for col in table.c |
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] |
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def sources(): |
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return { |
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"bgr_inspee": { |
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"title": "Salt structures in Northern Germany", |
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"description": 'The application "Information System Salt Structures" provides information about the ' |
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"areal distribution of salt structures (stocks and pillows) in Northern Germany. With general structural " |
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"describing information, such as depth, secondary thickness, types of use or state of exploration, queries " |
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"can be conducted. Contours of the salt structures can be displayed at horizontal cross-sections at four " |
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"different depths up to a maximum depth of 2000 m below NN. A data sheet with information and further " |
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"reading is provided for every single salt structure. Taking into account the fact that this work was " |
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"undertaken at a scale for providing an overview and not for investigation of single structures, the scale " |
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"of display is limited to a minimum of 1:300.000. This web application is the product of a BMWi-funded " |
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'research project "InSpEE" running from the year 2012 to 2015. The acronym stands for "Information system ' |
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"salt structures: planning basis, selection criteria and estimation of the potential for the construction " |
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'of salt caverns for the storage of renewable energies (hydrogen and compressed air)".', |
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"path": "https://produktcenter.bgr.de/terraCatalog/DetailResult.do?fileIdentifier=338136ea-261a-4569-a2bf-92999d09bad2", |
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"license": [license_geonutzv("© BGR, Hannover, 2015")], |
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}, |
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"bgr_inspeeds": { |
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"title": "Flat layered salts in Germany", |
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"description": "Which salt formations are suitable for storing hydrogen or compressed air? " |
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"In the InSpEE-DS research project, scientists developed requirements and criteria for the assessment " |
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"of suitable sites even if their exploration is still at an early stage and there is little knowledge of " |
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"the salinaries' structures. Scientists at DEEP.KBB GmbH in Hanover, worked together with their project " |
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"partners at the Federal Institute for Geosciences and Natural Resources and the Leibniz University " |
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"Hanover, Institute for Geotechnics Hanover, to develop the planning basis for the site selection and for " |
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"the construction of storage caverns in flat layered salt and multiple or double saliniferous formations. " |
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"Such caverns could store renewable energy in the form of hydrogen or compressed air. While the previous " |
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"project InSpEE was limited to salt formations of great thickness in Northern Germany, salt horizons of " |
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"different ages have now been examined all over Germany. To estimate the potential, depth contour maps of " |
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"the top and the base as well as thickness maps of the respective stratigraphic units and reference " |
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"profiles were developed. Information on compressed air and hydrogen storage potential were given for the " |
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"identified areas and for the individual federal states. The web service " |
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'"Information system for flat layered salt" gives access to this data. The scale of display is limited ' |
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"to a minimum of 1:300.000. This geographic information is product of a BMWi-funded research project " |
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'"InSpEE-DS" running from the year 2015 to 2019. The acronym stands for "Information system salt: ' |
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"planning basis, selection criteria and estimation of the potential for the construction of salt caverns " |
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'for the storage of renewable energies (hydrogen and compressed air) - double saline and flat salt layers".', |
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"path": "https://produktcenter.bgr.de/terraCatalog/DetailResult.do?fileIdentifier=630430b8-4025-4d6f-9a62-025b53bc8b3d", |
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"license": [license_geonutzv("© BGR, Hannover, 2021")], |
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}, |
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"bgr_inspeeds_data_bundle": { |
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"title": "Informationssystem Salz: Planungsgrundlagen, Auswahlkriterien und Potenzialabschätzung für die " |
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"Errichtung von Salzkavernen zur Speicherung von Erneuerbaren Energien (Wasserstoff und Druckluft) – " |
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"Doppelsalinare und flach lagernde Salzschichten. Teilprojekt Bewertungskriterien und Potenzialabschätzung", |
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"description": "Shapefiles corresponding to the data provided in figure 7-1 " |
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"(Donadei, S., et al., 2020, p. 7-5). The energy storage potential data are provided per federal state " |
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" in table 7-1 (Donadei, S., et al., 2020, p. 7-4). Note: Please include all bgr data sources when using " |
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"the data.", |
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"path": "https://dx.doi.org/10.5281/zenodo.4896526", |
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"license": [license_geonutzv("???")], |
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}, |
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"bgr_inspeeds_report": { |
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"title": "Informationssystem Salz: Planungsgrundlagen, Auswahlkriterien und Potenzialabschätzung für die " |
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"Errichtung von Salzkavernen zur Speicherung von Erneuerbaren Energien (Wasserstoff und Druckluft) – " |
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"Doppelsalinare und flach lagernde Salzschichten. Teilprojekt Bewertungskriterien und Potenzialabschätzung", |
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"description": "The report includes availability of saltstructures for energy storage and energy " |
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"storage potential accumulated per federal state in Germany.", |
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"path": "https://www.bgr.bund.de/DE/Themen/Nutzung_tieferer_Untergrund_CO2Speicherung/Downloads/InSpeeDS_TP_Bewertungskriterien.pdf?__blob=publicationFile&v=3", |
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"license": [license_geonutzv("© BGR, Hannover, 2021")], |
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}, |
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"demandregio": { |
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"title": "DemandRegio", |
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"description": "Harmonisierung und Entwicklung von Verfahren zur regionalen und " |
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"zeitlichen Auflösung von Energienachfragen", |
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"path": "https://doi.org/10.34805/ffe-119-20", |
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"license": [license_ccby("© FZJ, TUB, FfE")], |
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}, |
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"egon-data": { |
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"titel": "eGon-data", |
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"description": "Workflow to download, process and generate data sets" |
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"suitable for the further research conducted in the project eGon (https://ego-n.org/)", |
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"path": "https://github.com/openego/eGon-data", |
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"licenses": [license_agpl("© Jonathan Amme, Clara Büttner, Ilka Cußmann, Julian Endres, Carlos Epia, Stephan Günther, Ulf Müller, Amélia Nadal, Guido Pleßmann, Francesco Witte")] |
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}, |
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"Einspeiseatlas": { |
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"title": "Einspeiseatlas", |
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"description": "Im Einspeiseatlas finden sie sich die Informationen " |
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"zu realisierten und geplanten Biomethanaufbereitungsanlagen - mit " |
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"und ohne Einspeisung ins Gasnetz - in Deutschland und weltweit.", |
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"path": "https://www.biogaspartner.de/einspeiseatlas/", |
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"license": license_ccby( |
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"Deutsche Energie-Agentur (dena, 2021)" |
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), |
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}, |
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"era5": { |
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"title": "ERA5 global reanalysis", |
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"description": "ERA5 is the fifth generation ECMWF reanalysis for the global climate " |
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"and weather for the past 4 to 7 decades. Currently data is available from 1950, " |
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"split into Climate Data Store entries for 1950-1978 (preliminary back extension) and f" |
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"rom 1979 onwards (final release plus timely updates, this page). ERA5 replaces the ERA-Interim reanalysis. " |
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"See the online ERA5 documentation " |
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"(https://confluence.ecmwf.int/display/CKB/ERA5%3A+data+documentation#ERA5:datadocumentation-Dataupdatefrequency) " |
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"for more information.", |
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"path": "https://confluence.ecmwf.int/display/CKB/ERA5%3A+data+documentation#ERA5:datadocumentation-Dataupdatefrequency", |
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"license": [{ |
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401
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"name": "Licence to use Copernicus Products", |
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402
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"title": "Licence to use Copernicus Products", |
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"path": "https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf", |
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"instruction": "This Licence is free of charge, worldwide, non-exclusive, royalty free and perpetual. " |
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405
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"Access to Copernicus Products is given for any purpose in so far as it is lawful, whereas use " |
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406
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"may include, but is not limited to: reproduction; distribution; communication to the public; " |
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407
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"adaptation, modification and combination with other data and information; or any " |
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"combination of the foregoing", |
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"attribution": "Copernicus Climate Change Service (C3S) Climate Data Store", |
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},] |
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}, |
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412
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"hotmaps_industrial_sites": { |
|
413
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"titel": "industrial_sites_Industrial_Database", |
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414
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"description": "Georeferenced industrial sites of energy-intensive industry sectors in EU28", |
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415
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"path": "https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database", |
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416
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"licenses": [license_ccby("© 2016-2018: Pia Manz, Tobias Fleiter")], |
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}, |
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418
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"hotmaps_scen_buildings": { |
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419
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"titel": "scen_current_building_demand", |
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420
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"description": "Energy demand scenarios in buidlings until the year 2050 - current policy scenario", |
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421
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"path": "https://gitlab.com/hotmaps/scen_current_building_demand", |
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422
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"licenses": [license_ccby( |
|
423
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"© 2016-2018: Michael Hartner, Lukas Kranzl, Sebastian Forthuber, Sara Fritz, Andreas Müller" |
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)], |
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}, |
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426
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"mastr": { |
|
427
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"title": "open-MaStR power unit registry", |
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428
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"description": "Raw data download Marktstammdatenregister (MaStR) data " |
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429
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"using the webservice. All data from the Marktstammdatenregister is included." |
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430
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"There are duplicates included. For further information read in the documentation" |
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431
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"of the original data source: https://www.marktstammdatenregister.de/MaStRHilfe/subpages/statistik.html", |
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432
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"path": "https://sandbox.zenodo.org/record/808086", |
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433
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"licenses": [licenses_datenlizenz_deutschland( |
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434
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"© 2021 Bundesnetzagentur für Elektrizität, Gas, Telekommunikation, Post und Eisenbahnen" |
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435
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)], |
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436
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}, |
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437
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"nep2021": { |
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438
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"title": "Netzentwicklungsplan Strom 2035, Version 2021, erster Entwurf", |
|
439
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"description": "Die vier deutschen Übertragungsnetzbetreiber zeigen mit " |
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440
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"diesem ersten Entwurf des Netzentwicklungsplans 2035, Version 2021, den " |
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441
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"benötigten Netzausbau für die nächsten Jahre auf. Der NEP-Bericht beschreibt " |
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442
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"keine konkreten Trassenverläufe von Übertragungsleitungen, sondern er " |
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443
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"dokumentiert den notwendigen Übertragungsbedarf zwischen Netzknoten. " |
|
444
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"Das heißt, es werden Anfangs- und Endpunkte von zukünftigen Leitungsverbindungen " |
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445
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"definiert sowie konkrete Empfehlungen für den Aus- und Neubau der Übertragungsnetze " |
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446
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"an Land und auf See in Deutschland gemäß den Detailanforderungen im § 12 EnWG gegeben.", |
|
447
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"path": "https://zenodo.org/record/5743452#.YbCoz7so8go", |
|
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"license": [license_ccby("© Übertragungsnetzbetreiber")], |
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}, |
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450
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"openffe_gas": { |
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451
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"title": "Load Curves of the Industry Sector – eXtremOS solidEU Scenario (Europe NUTS-3)", |
|
452
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"description": "Load Curves of the Industry Sector for the eXtremOS solidEU Scenario Scenario at NUTS-3-Level. " |
|
453
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"More information at https://extremos.ffe.de/.", |
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454
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"path": "http://opendata.ffe.de/dataset/load-curves-of-the-industry-sector-extremos-solideu-scenario-europe-nuts-3/", |
|
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"license": [license_ccby("© FfE, eXtremOS Project")], |
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}, |
|
457
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"openstreetmap": { |
|
458
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"title": "OpenStreetMap Data Extracts (Geofabrik)", |
|
459
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"description": "Full data extract of OpenStreetMap data for defined" |
|
460
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"spatial extent at ''referenceDate''", |
|
461
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"path": "https://download.geofabrik.de/europe/germany-210101.osm.pbf", |
|
462
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"licenses": [license_odbl("© OpenStreetMap contributors")], |
|
463
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}, |
|
464
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"peta": { |
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465
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"title": "Pan-European Thermal Atlas, Peta version 5.0.1", |
|
466
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"description": "Modelled Heat Demand distribution (in GJ per hectare grid cell) for residential and service " |
|
467
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"heat demands for space heating and hot water for the year 2015 using HRE4 data and the combined " |
|
468
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|
|
"top-down bottom-up approach of HRE4. " |
|
469
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|
|
"National sector-specific heat demand data, derived by the FORECAST model in HRE4 for residential " |
|
470
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"(delivered energy, for space heating and hot water) and service-sector (delivered energy, for space heating, hot " |
|
471
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|
|
"water and process heat) buildings for the year 2015, were distributed using modelled, spatial " |
|
472
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|
|
"statistics based floor areas in 100x100m grids and a population grid. " |
|
473
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|
"For further information please see the documentation available on the Heat Roadmap Europe website, " |
|
474
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"in particular D2.3 report 'Methodologies and assumptions used in the mapping'.", |
|
475
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"path": "https://s-eenergies-open-data-euf.hub.arcgis.com/search", |
|
476
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"license": [license_ccby( |
|
477
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|
|
"© Europa-Universität Flensburg, Halmstad University and Aalborg University" |
|
478
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)], |
|
479
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}, |
|
480
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"pipeline_classification": { |
|
481
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|
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"title": "Technical pipeline characteristics for high pressure pipelines", |
|
482
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"description": "Parameters for the classification of gas pipelines, " |
|
483
|
|
|
"the whole documentation could is available at: " |
|
484
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|
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"https://www.econstor.eu/bitstream/10419/173388/1/1011162628.pdf", |
|
485
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"path": "https://zenodo.org/record/5743452", |
|
486
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"license": license_ccby( |
|
487
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"© DIW Berlin, 2017" |
|
488
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), |
|
489
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}, |
|
490
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"schmidt": { |
|
491
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"title": "Supplementary material to the masters thesis: " |
|
492
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|
|
"NUTS-3 Regionalization of Industrial Load Shifting Potential in Germany using a Time-Resolved Model", |
|
493
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"description": "Supplementary material to the named masters thesis, containing data on industrial processes" |
|
494
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"for the estimation of NUTS-3 load shifting potential of suitable electrically powered industrial processes" |
|
495
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|
|
"(cement milling, mechanical pulping, paper production, air separation).", |
|
496
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"path": "https://zenodo.org/record/3613767", |
|
497
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"licenses": [license_ccby("© 2019 Danielle Schmidt")], |
|
498
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}, |
|
499
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"SciGRID_gas": { |
|
500
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|
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"title": "SciGRID_gas IGGIELGN", |
|
501
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"description": "The SciGRID_gas dataset represents the European " |
|
502
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|
|
"gas transport network (pressure levels of 20 bars and higher) " |
|
503
|
|
|
"including the geo-referenced transport pipelines, compressor " |
|
504
|
|
|
"stations, LNG terminals, storage, production sites, gas power " |
|
505
|
|
|
"plants, border points, and demand time series. ", |
|
506
|
|
|
"path": "https://dx.doi.org/10.5281/zenodo.4896526", |
|
507
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"license": license_ccby( |
|
508
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|
|
" Jan Diettrich; Adam Pluta; Wided Medjroubi (DLR-VE)" |
|
509
|
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|
), |
|
510
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|
|
}, |
|
511
|
|
|
"seenergies": { |
|
512
|
|
|
"title": "D5 1 Industry Dataset With Demand Data", |
|
513
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|
|
"description": "Georeferenced EU28 industrial sites with quantified annual excess heat volumes and demand data" |
|
514
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|
|
"within main sectors: Chemical industry, Iron and steel, Non-ferrous metals, Non-metallic minerals, Paper and printing, and Refineries.", |
|
515
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|
|
"path": "https://s-eenergies-open-data-euf.hub.arcgis.com/datasets/5e36c0af918040ed936b4e4c101f611d_0/about", |
|
516
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"licenses": [license_ccby("© Europa-Universität Flensburg")] |
|
517
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}, |
|
518
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"tyndp": { |
|
519
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|
|
"title": "Ten-Year Network Development Plan (TYNDP) 2020 Scenarios", |
|
520
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|
|
"description": "ENTSOs’ TYNDP 2020 Scenario Report describes possible European energy futures up to 2050. " |
|
521
|
|
|
"Scenarios are not forecasts; they set out a range of possible futures used by the ENTSOs to test future " |
|
522
|
|
|
"electricity and gas infrastructure needs and projects. The scenarios are ambitious as they deliver " |
|
523
|
|
|
"a low carbon energy system for Europe by 2050. The ENTSOs have developed credible scenarios that are " |
|
524
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|
"guided by technically sound pathways, while reflecting country by country specifics, so that a pan-European " |
|
525
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|
|
"low carbon future is achieved.", |
|
526
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|
"path": "https://tyndp.entsoe.eu/maps-data", |
|
527
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"license": [license_ccby("© ENTSO-E and ENTSOG")], |
|
528
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}, |
|
529
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"vg250": { |
|
530
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|
|
"title": "Verwaltungsgebiete 1:250 000 (Ebenen)", |
|
531
|
|
|
"description": "Der Datenbestand umfasst sämtliche Verwaltungseinheiten der " |
|
532
|
|
|
"hierarchischen Verwaltungsebenen vom Staat bis zu den Gemeinden " |
|
533
|
|
|
"mit ihren Grenzen, statistischen Schlüsselzahlen, Namen der " |
|
534
|
|
|
"Verwaltungseinheit sowie die spezifische Bezeichnung der " |
|
535
|
|
|
"Verwaltungsebene des jeweiligen Landes.", |
|
536
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|
|
"path": "https://daten.gdz.bkg.bund.de/produkte/vg/vg250_ebenen_0101/2020/vg250_01-01.geo84.shape.ebenen.zip", |
|
537
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|
"licenses": [licenses_datenlizenz_deutschland( |
|
538
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"© Bundesamt für Kartographie und Geodäsie " |
|
539
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"2020 (Daten verändert)" |
|
540
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)], |
|
541
|
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|
}, |
|
542
|
|
|
"zensus": { |
|
543
|
|
|
"title": "Statistisches Bundesamt (Destatis) - Ergebnisse des Zensus 2011 zum Download", |
|
544
|
|
|
"description": "Als Download bieten wir Ihnen auf dieser Seite zusätzlich zur " |
|
545
|
|
|
"Zensusdatenbank CSV- und teilweise Excel-Tabellen mit umfassenden Personen-, Haushalts- " |
|
546
|
|
|
"und Familien- sowie Gebäude- und Wohnungsmerkmalen. Die Ergebnisse liegen auf Bundes-, " |
|
547
|
|
|
"Länder-, Kreis- und Gemeindeebene vor. Außerdem sind einzelne Ergebnisse für Gitterzellen verfügbar.", |
|
548
|
|
|
"path": "https://www.zensus2011.de/SharedDocs/Aktuelles/Ergebnisse/DemografischeGrunddaten.html;jsessionid=E0A2B4F894B258A3B22D20448F2E4A91.2_cid380?nn=3065474", |
|
549
|
|
|
"license": [licenses_datenlizenz_deutschland( |
|
550
|
|
|
"© Statistische Ämter des Bundes und der Länder 2014" |
|
551
|
|
|
)], |
|
552
|
|
|
}, |
|
553
|
|
|
} |
|
554
|
|
|
|
|
555
|
|
|
|
|
556
|
|
|
def contributors(): |
|
557
|
|
|
return { |
|
558
|
|
|
"am": { |
|
559
|
|
|
"title": "Aadit Malla", |
|
560
|
|
|
"email": "https://github.com/aadit879", |
|
561
|
|
|
}, |
|
562
|
|
|
"an": { |
|
563
|
|
|
"title": "Amélia Nadal", |
|
564
|
|
|
"email": "https://github.com/AmeliaNadal", |
|
565
|
|
|
}, |
|
566
|
|
|
"cb": { |
|
567
|
|
|
"title": "Clara Büttner", |
|
568
|
|
|
"email": "https://github.com/ClaraBuettner", |
|
569
|
|
|
}, |
|
570
|
|
|
"ce": { |
|
571
|
|
|
"title": "Carlos Epia", |
|
572
|
|
|
"email": "https://github.com/CarlosEpia", |
|
573
|
|
|
}, |
|
574
|
|
|
"fw": { |
|
575
|
|
|
"title": "Francesco Witte", |
|
576
|
|
|
"email": "https://github.com/fwitte", |
|
577
|
|
|
}, |
|
578
|
|
|
"gp": { |
|
579
|
|
|
"title": "Guido Pleßmann", |
|
580
|
|
|
"email": "https://github.com/gplssm", |
|
581
|
|
|
}, |
|
582
|
|
|
"ik": { |
|
583
|
|
|
"title": "Ilka Cußmann", |
|
584
|
|
|
"email": "https://github.com/IlkaCu", |
|
585
|
|
|
}, |
|
586
|
|
|
"ja": { |
|
587
|
|
|
"title": "Jonathan Amme", |
|
588
|
|
|
"email": "https://github.com/nesnoj", |
|
589
|
|
|
}, |
|
590
|
|
|
"je": { |
|
591
|
|
|
"title": "Jane Doe", |
|
592
|
|
|
"email": "https://github.com/JaneDoe", |
|
593
|
|
|
}, |
|
594
|
|
|
"ke": { |
|
595
|
|
|
"title": "Katharina Esterl", |
|
596
|
|
|
"email": "https://github.com/KathiEsterl", |
|
597
|
|
|
}, |
|
598
|
|
|
"sg": { |
|
599
|
|
|
"title": "Stephan Günther", |
|
600
|
|
|
"email": "https://github.com/gnn", |
|
601
|
|
|
}, |
|
602
|
|
|
"um": { |
|
603
|
|
|
"title": "Ulf Müller", |
|
604
|
|
|
"email": "https://github.com/ulfmueller", |
|
605
|
|
|
}, |
|
606
|
|
|
} |
openego /
eGon-data
