data.metadata.sources()

Complexity

Conditions

1

Size

Total Lines	246
Code Lines	125

Duplication

Lines	0
Ratio	0 %

Importance

Changes

0

import time
def sources():
    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",
            "license": [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",
            "license": [license_geonutzv("© BGR, Hannover, 2021")],
        },
        "bgr_inspeeds_data_bundle": {
            "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",
            "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": "https://dx.doi.org/10.5281/zenodo.4896526",
            "license": [license_geonutzv("???")],
        },
        "bgr_inspeeds_report": {
            "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",
            "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",
            "license": [license_geonutzv("© BGR, Hannover, 2021")],
        },
        "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",
            "license": [license_ccby("© FZJ, TUB, FfE")],
        },
        "egon-data": {
            "titel": "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("© Jonathan Amme, Clara Büttner, Ilka Cußmann, Julian Endres, Carlos Epia, Stephan Günther, Ulf Müller, Amélia Nadal, Guido Pleßmann, Francesco Witte")]
        },
        "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/",
            "license": 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 f"
            "rom 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",
            "license": [{
                "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",
            },]
        },
        "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://sandbox.zenodo.org/record/808086",
            "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",
            "license": [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/",
            "license": [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",
            "license": [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",
                    "license": 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": "https://dx.doi.org/10.5281/zenodo.4896526",
                    "license": 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")]
        },
        "tyndp": {
            "title": "Ten-Year Network Development Plan (TYNDP) 2020 Scenarios",
            "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",
            "license": [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 Wohnungs­merkmalen. Die Ergebnisse liegen auf Bundes-, "
            "Länder-, Kreis- und Gemeinde­ebene vor. Außerdem sind einzelne Ergebnisse für Gitterzellen verfügbar.",
            "path": "https://www.zensus2011.de/SharedDocs/Aktuelles/Ergebnisse/DemografischeGrunddaten.html;jsessionid=E0A2B4F894B258A3B22D20448F2E4A91.2_cid380?nn=3065474",
            "license": [licenses_datenlizenz_deutschland(
                "© Statistische Ämter des Bundes und der Länder 2014"
            )],
    }