data.metadata.sources()

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from geoalchemy2 import Geometry
def sources():
    shared_licenses = [license_geonutzv("© BGR, Hannover, 2021")]
    shared_path = "https://dx.doi.org/10.5281/zenodo.4896526"
    shared_title = (
        "Informationssystem Salz: Planungsgrundlagen, Auswahlkriterien"
        " und Potenzialabschätzung für die Errichtung von Salzkavernen"
        " zur Speicherung von Erneuerbaren Energien"
        " (Wasserstoff und Druckluft)"
        " – Doppelsalinare und flach lagernde Salzschichten."
        " Teilprojekt Bewertungskriterien und Potenzialabschätzung"
    )
    return {
        "bgr_inspee": {
            "title": "Salt structures in Northern Germany",
            "description": (
                'The application "Information System Salt Structures"'
                " provides information about the areal distribution of"
                " salt structures (stocks and pillows) in Northern"
                " Germany. With general structural describing"
                " information, such as depth, secondary thickness,"
                " types of use or state of exploration, queries can be"
                " conducted. Contours of the salt structures can be"
                " displayed at horizontal cross-sections at four"
                " different depths up to a maximum depth of 2000 m"
                " below NN. A data sheet with information and further"
                " reading is provided for every single salt structure."
                " Taking into account the fact that this work was"
                " undertaken at a scale for providing an overview and"
                " not for investigation of single structures, the scale"
                " of display is limited to a minimum of 1:300.000."
                " This web application is the product of a BMWi-funded"
                ' research project "InSpEE" running from the year 2012'
                ' to 2015. The acronym stands for "Information system'
                " salt structures: planning basis, selection criteria"
                " and estimation of the potential for the construction"
                " of salt caverns for the storage of renewable energies"
                ' (hydrogen and compressed air)".'
            ),
            "path": (
                "https://produktcenter.bgr.de/terraCatalog/DetailResult.do"
                "?fileIdentifier=338136ea-261a-4569-a2bf-92999d09bad2"
            ),
            "licenses": [license_geonutzv("© BGR, Hannover, 2015")],
        },
        "bgr_inspeeds": {
            "title": "Flat layered salts in Germany",
            "description": (
                "Which salt formations are suitable for storing"
                " hydrogen or compressed air?"
                " In the InSpEE-DS research project, scientists"
                " developed requirements and criteria for the"
                " assessment of suitable sites even if their"
                " exploration is still at an early stage and there is"
                ' little knowledge of the salinaries structures.'
                " Scientists at DEEP.KBB GmbH in Hanover, worked"
                " together with their project partners at the Federal"
                " Institute for Geosciences and Natural Resources and"
                " the Leibniz University Hanover, Institute for"
                " Geotechnics Hanover, to develop the planning basis"
                " for the site selection and for the construction of"
                " storage caverns in flat layered salt and multiple or"
                " double saliniferous formations."
                " Such caverns could store renewable energy in the form"
                " of hydrogen or compressed air."
                " While the previous project InSpEE was limited to salt"
                " formations of great thickness in Northern Germany,"
                " salt horizons of different ages have now been"
                " examined all over Germany. To estimate the potential,"
                " depth contour maps of the top and the base as well as"
                " thickness maps of the respective stratigraphic units"
                " and reference profiles were developed. Information on"
                " compressed air and hydrogen storage potential were"
                " given for the identified areas and for the individual"
                " federal states. The web service"
                ' "Information system for flat layered salt"'
                " gives access to this data. The scale of display is"
                " limited to a minimum of 1:300.000. This geographic"
                " information is product of a BMWi-funded research"
                ' project "InSpEE-DS" running from the year 2015 to'
                " 2019. The acronym stands for"
                ' "Information system salt: planning basis, selection'
                " criteria and estimation of the potential for the"
                " construction of salt caverns for the storage of"
                " renewable energies (hydrogen and compressed air)"
                ' - double saline and flat salt layers".'
            ),
            "path": (
                "https://produktcenter.bgr.de/terraCatalog/DetailResult.do"
                "?fileIdentifier=630430b8-4025-4d6f-9a62-025b53bc8b3d"
            ),
            "licenses": shared_licenses,
        },
        "bgr_inspeeds_data_bundle": {
            "title": shared_title,
            "description": (
                "Shapefiles corresponding to the data provided in"
                " figure 7-1 (Donadei, S., et al., 2020, p. 7-5)."
                " The energy storage potential data are provided per"
                " federal state in table 7-1"
                " (Donadei, S., et al., 2020, p. 7-4)."
                " Note: Please include all bgr data sources when using"
                " the data."
            ),
            "path": shared_path,
            "licenses": shared_licenses,
        },
        "bgr_inspeeds_report": {
            "title": shared_title,
            "description": (
                "The report includes availability of saltstructures for"
                " energy storage and energy storage potential"
                " accumulated per federal state in Germany."
            ),
            "path": (
                "https://www.bgr.bund.de/DE/Themen"
                "/Nutzung_tieferer_Untergrund_CO2Speicherung/Downloads"
                "/InSpeeDS_TP_Bewertungskriterien.pdf"
                "?__blob=publicationFile&v=3"
            ),
            "licenses": shared_licenses,
        },
        "demandregio": {
            "title": "DemandRegio",
            "description": (
                "Harmonisierung und Entwicklung von Verfahren zur"
                " regionalen und zeitlichen Auflösung von"
                " Energienachfragen"
            ),
            "path": "https://doi.org/10.34805/ffe-119-20",
            "licenses": [license_ccby("© FZJ, TUB, FfE")],
        },
        "egon-data": {
            "title": "eGon-data",
            "description": (
                "Workflow to download, process and generate data sets"
                " suitable for the further research conducted in the"
                " project eGon (https://ego-n.org/)"
            ),
            "path": "https://github.com/openego/eGon-data",
            "licenses": [license_agpl(EGON_ATTRIBUTION)],
        },
        "egon-data_bundle": {
            "title": "Data bundle for egon-data",
            "description": (
                "Zenodo repository to provide several different input"
                " data sets for eGon-data"
            ),
            "path": "https://zenodo.org/record/10226009",
            "licenses": [license_ccby("© eGon development team")],
        },
        "Einspeiseatlas": {
            "title": "Einspeiseatlas",
            "description": (
                "Im Einspeiseatlas finden sie sich die Informationen zu"
                " realisierten und geplanten Biomethanaufbereitungsanlagen"
                " - mit und ohne Einspeisung ins Gasnetz -"
                " in Deutschland und weltweit."
            ),
            "path": "https://www.biogaspartner.de/einspeiseatlas/",
            "licenses": [
                license_ccby("Deutsche Energie-Agentur (dena, 2021)")
            ],
        },
        "era5": {
            "title": "ERA5 global reanalysis",
            "description": (
                "ERA5 is the fifth generation ECMWF reanalysis for the"
                " global climate and weather for the past 4 to 7"
                " decades. Currently data is available from 1950, split"
                " into Climate Data Store entries for 1950-1978"
                " (preliminary back extension) and from 1979 onwards"
                " (final release plus timely updates, this page)."
                " ERA5 replaces the ERA-Interim reanalysis."
                " See the online ERA5 documentation ("
                "https://confluence.ecmwf.int/display/CKB"
                "/ERA5%3A+data+documentation"
                "#ERA5:datadocumentation-Dataupdatefrequency)"
                " for more information."
            ),
            "path": (
                "https://confluence.ecmwf.int/display/CKB"
                "/ERA5%3A+data+documentation"
                "#ERA5:datadocumentation-Dataupdatefrequency"
            ),
            "licenses": [
                {
                    "name": "Licence to use Copernicus Products",
                    "title": "Licence to use Copernicus Products",
                    "path": (
                        "https://cds.climate.copernicus.eu/api/v2/terms"
                        "/static/licence-to-use-copernicus-products.pdf"
                    ),
                    "instruction": (
                        "This Licence is free of charge, worldwide,"
                        " non-exclusive, royalty free and perpetual."
                        " Access to Copernicus Products is given for"
                        " any purpose in so far as it is lawful,"
                        " whereas use may include, but is not limited"
                        " to: reproduction; distribution; communication"
                        " to the public; adaptation, modification and"
                        " combination with other data and information;"
                        " or any combination of the foregoing"
                    ),
                    "attribution": (
                        "Copernicus Climate Change Service (C3S)"
                        " Climate Data Store"
                    ),
                },
            ],
        },
        "dsm-heitkoetter": {
            "title": (
                "Assessment of the regionalised demand response"
                " potential in Germany using an open source tool and"
                " dataset"
            ),
            "description": (
                "With the expansion of renewable energies in Germany,"
                " imminent grid congestion events occur more often. One"
                " approach for avoiding curtailment of renewable"
                " energies is to cover excess feed-in by demand"
                " response."
                " As curtailment is often a local phenomenon, in this"
                " work we determine the regional demand response"
                " potential for the 401 German administrative districts"
                " with a temporal resolution of 15 min, including"
                " technical, socio-technical and economic restrictions."
            ),
            "path": "https://doi.org/10.1016/j.adapen.2020.100001",
            "licenses": [
                license_ccby(
                    "© 2020 German Aerospace Center (DLR),"
                    " Institute of Networked Energy Systems."
                )
            ],
        },
        "hotmaps_industrial_sites": {
            "titel": "industrial_sites_Industrial_Database",
            "description": (
                "Georeferenced industrial sites of energy-intensive"
                " industry sectors in EU28"
            ),
            "path": (
                "https://gitlab.com/hotmaps/industrial_sites"
                "/industrial_sites_Industrial_Database"
            ),
            "licenses": [
                license_ccby("© 2016-2018: Pia Manz, Tobias Fleiter")
            ],
        },
        "hotmaps_scen_buildings": {
            "titel": "scen_current_building_demand",
            "description": (
                "Energy demand scenarios in buidlings until the year 2050"
                " - current policy scenario"
            ),
            "path": "https://gitlab.com/hotmaps/scen_current_building_demand",
            "licenses": [
                license_ccby(
                    "© 2016-2018: Michael Hartner"
                    ", Lukas Kranzl"
                    ", Sebastian Forthuber"
                    ", Sara Fritz"
                    ", Andreas Müller"
                )
            ],
        },
        "mastr": {
            "title": "open-MaStR power unit registry",
            "description": (
                "Raw data download Marktstammdatenregister (MaStR) data"
                " using the webservice. All data from the"
                " Marktstammdatenregister is included. There are"
                " duplicates included. For further information read in"
                " the documentation of the original data source:"
                " https://www.marktstammdatenregister.de/MaStRHilfe"
                "/subpages/statistik.html"
            ),
            "path": "https://zenodo.org/record/10480930",
            "licenses": [
                licenses_datenlizenz_deutschland(
                    "© 2021 Bundesnetzagentur für Elektrizität, Gas,"
                    " Telekommunikation, Post und Eisenbahnen"
                )
            ],
        },
        "nep2021": {
            "title": (
                "Netzentwicklungsplan Strom 2035, Version 2021, erster"
                " Entwurf"
            ),
            "description": (
                "Die vier deutschen Übertragungsnetzbetreiber zeigen"
                " mit diesem ersten Entwurf des Netzentwicklungsplans"
                " 2035, Version 2021, den benötigten Netzausbau für die"
                " nächsten Jahre auf. Der NEP-Bericht beschreibt keine"
                " konkreten Trassenverläufe von Übertragungsleitungen,"
                " sondern er dokumentiert den notwendigen"
                " Übertragungsbedarf zwischen Netzknoten."
                " Das heißt, es werden Anfangs- und Endpunkte von"
                " zukünftigen Leitungsverbindungen definiert sowie"
                " konkrete Empfehlungen für den Aus- und Neubau der"
                " Übertragungsnetze an Land und auf See in Deutschland"
                " gemäß den Detailanforderungen im § 12 EnWG gegeben."
            ),
            "path": "https://zenodo.org/record/5743452#.YbCoz7so8go",
            "licenses": [license_ccby("© Übertragungsnetzbetreiber")],
        },
        "openffe_gas": {
            "title": (
                "Load Curves of the Industry Sector"
                " – eXtremOS solidEU Scenario (Europe NUTS-3)"
            ),
            "description": (
                "Load Curves of the Industry Sector for the eXtremOS"
                " solidEU Scenario Scenario at NUTS-3-Level."
                " More information at https://extremos.ffe.de/."
            ),
            "path": (
                "http://opendata.ffe.de/dataset"
                "/load-curves-of-the-industry-sector-extremos-solideu"
                "-scenario-europe-nuts-3/"
            ),
            "licenses": [license_ccby("© FfE, eXtremOS Project")],
        },
        "openstreetmap": {
            "title": "OpenStreetMap Data Extracts (Geofabrik)",
            "description": (
                "Full data extract of OpenStreetMap data for defined"
                ' spatial extent at "referenceDate"'
            ),
            "path": (
                "https://download.geofabrik.de/europe/germany-210101.osm.pbf"
            ),
            "licenses": [license_odbl("© OpenStreetMap contributors")],
        },
        "peta": {
            "title": "Pan-European Thermal Atlas, Peta version 5.0.1",
            "description": (
                "Modelled Heat Demand distribution (in GJ per hectare"
                " grid cell) for residential and service heat demands"
                " for space heating and hot water for the year 2015"
                " using HRE4 data and the combined top-down bottom-up"
                " approach of HRE4. National sector-specific heat"
                " demand data, derived by the FORECAST model in HRE4"
                " for residential (delivered energy, for space heating"
                " and hot water) and service-sector (delivered energy,"
                " for space heating, hot water and process heat)"
                " buildings for the year 2015, were distributed using"
                " modelled, spatial statistics based floor areas in"
                " 100x100m grids and a population grid. For further"
                " information please see the documentation available on"
                " the Heat Roadmap Europe website, in particular D2.3"
                " report: Methodologies and assumptions used in the"
                " mapping."
            ),
            "path": "https://s-eenergies-open-data-euf.hub.arcgis.com/search",
            "licenses": [
                license_ccby(
                    "© Europa-Universität Flensburg"
                    ", Halmstad University and Aalborg University"
                )
            ],
        },
        "pipeline_classification": {
            "title": (
                "Technical pipeline characteristics for high pressure"
                " pipelines"
            ),
            "description": (
                "Parameters for the classification of gas pipelines,"
                " the whole documentation could is available at:"
                " https://www.econstor.eu/bitstream/10419/173388/1"
                "/1011162628.pdf"
            ),
            "path": "https://zenodo.org/record/5743452",
            "licenses": [license_ccby("© DIW Berlin, 2017")],
        },
        "schmidt": {
            "title": (
                "Supplementary material to the masters thesis:"
                " NUTS-3 Regionalization of Industrial Load Shifting"
                " Potential in Germany using a Time-Resolved Model"
            ),
            "description": (
                "Supplementary material to the named masters thesis,"
                " containing data on industrial processes for the"
                " estimation of NUTS-3 load shifting potential of"
                " suitable electrically powered industrial processes"
                " (cement milling, mechanical pulping, paper"
                " production, air separation)."
            ),
            "path": "https://zenodo.org/record/3613767",
            "licenses": [license_ccby("© 2019 Danielle Schmidt")],
        },
        "SciGRID_gas": {
            "title": "SciGRID_gas IGGIELGN",
            "description": (
                "The SciGRID_gas dataset represents the European gas"
                " transport network (pressure levels of 20 bars and"
                " higher) including the geo-referenced transport"
                " pipelines, compressor stations, LNG terminals,"
                " storage, production sites, gas power plants, border"
                " points, and demand time series."
            ),
            "path": shared_path,
            "licenses": [
                license_ccby(
                    "Jan Diettrich; Adam Pluta; Wided Medjroubi (DLR-VE)"
                ),
            ],
        },
        "seenergies": {
            "title": "D5 1 Industry Dataset With Demand Data",
            "description": (
                "Georeferenced EU28 industrial sites with quantified"
                " annual excess heat volumes and demand data within"
                " main sectors: Chemical industry, Iron and steel,"
                " Non-ferrous metals, Non-metallic minerals, Paper and"
                " printing, and Refineries."
            ),
            "path": (
                "https://s-eenergies-open-data-euf.hub.arcgis.com"
                "/datasets/5e36c0af918040ed936b4e4c101f611d_0/about"
            ),
            "licenses": [license_ccby("© Europa-Universität Flensburg")],
        },
        "technology-data": {
            "titel": "Energy System Technology Data v0.3.0",
            "description": (
                "This script compiles assumptions on energy system"
                " technologies (such as costs, efficiencies, lifetimes,"
                " etc.) for chosen years (e.g. [2020, 2030, 2050]) from"
                " a variety of sources into CSV files to be read by"
                " energy system modelling software. The merged outputs"
                " have standardized cost years, technology names, units"
                " and source information."
            ),
            "path": "https://github.com/PyPSA/technology-data/tree/v0.3.0",
            "licenses": [
                license_agpl(
                    "© Marta Victoria (Aarhus University)"
                    ", Kun Zhu (Aarhus University)"
                    ", Elisabeth Zeyen (TUB)"
                    ", Tom Brown (TUB)"
                )
            ],
        },
        "tyndp": {
            "description": (
                "ENTSOs’ TYNDP 2020 Scenario Report describes possible"
                " European energy futures up to 2050. Scenarios are not"
                " forecasts; they set out a range of possible futures"
                " used by the ENTSOs to test future electricity and gas"
                " infrastructure needs and projects. The scenarios are"
                " ambitious as they deliver a low carbon energy system"
                " for Europe by 2050. The ENTSOs have developed"
                " credible scenarios that are guided by technically"
                " sound pathways, while reflecting country by country"
                " specifics, so that a pan-European low carbon future"
                " is achieved."
            ),
            "path": "https://tyndp.entsoe.eu/maps-data",
            "licenses": [license_ccby("© ENTSO-E and ENTSOG")],
        },
        "vg250": {
            "title": "Verwaltungsgebiete 1:250 000 (Ebenen)",
            "description": (
                "Der Datenbestand umfasst sämtliche Verwaltungseinheiten"
                " der hierarchischen Verwaltungsebenen vom Staat bis zu"
                " den Gemeinden mit ihren Grenzen, statistischen"
                " Schlüsselzahlen, Namen der Verwaltungseinheit sowie"
                " die spezifische Bezeichnung der Verwaltungsebene des"
                " jeweiligen Landes."
            ),
            "path": (
                "https://daten.gdz.bkg.bund.de/produkte/vg"
                "/vg250_ebenen_0101/2020"
                "/vg250_01-01.geo84.shape.ebenen.zip"
            ),
            "licenses": [
                licenses_datenlizenz_deutschland(
                    "© Bundesamt für Kartographie und Geodäsie"
                    " 2020 (Daten verändert)"
                )
            ],
        },
        "zensus": {
            "title": (
                "Statistisches Bundesamt (Destatis)"
                " - Ergebnisse des Zensus 2011 zum Download"
            ),
            "description": (
                "Als Download bieten wir Ihnen auf dieser Seite"
                " zusätzlich zur Zensusdatenbank CSV- und teilweise"
                " Excel-Tabellen mit umfassenden Personen-, Haushalts-"
                " und Familien- sowie Gebäude- und Wohnungs­merkmaln."
                " Die Ergebnisse liegen auf Bundes-, Länder-, Kreis-"
                " und Gemeinde­ebene vor. Außerdem sind einzele"
                " Ergebnisse für Gitterzellen verfügbar."
            ),
            "path": (
                "https://www.zensus2011.de/DE/Home/Aktuelles"
                "/DemografischeGrunddaten.html"
            ),
            "licenses": [
                licenses_datenlizenz_deutschland(
                    "© Statistische Ämter des Bundes und der Länder 2014"
                )