Added contributer #52

OpenEnergyPlatform · Apr 30, 2020 · 44e46a4 · 44e46a4
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+{"name": "mobility_demand_germany_2017",
+"title": "Open mobility demand data for Germany in 2017",
+"id": "https://github.com/OpenEnergyPlatform/data-preprocessing/tree/master/data-review/mobility_demand_germany_2017",
+"description": "This dataset comprises unimodal trips and intermodal concatenations of trips between mobility demand cells for passenger transport. The trips are disaggregated by travel mode, purpose, and time of the day. Spatially, demand cells are disaggregated by spatial structure, traffic structure, and leisure value within the region of Germany (yielding a resolution of 1572 cells). Trips to neighboring countries decrease in spatial reolution with increasing distance. Trip numbers are summed up for the entire year 2017.",
+"language": ["en-GB"],
+"keywords": [
+	"mobility",
+	"transport",
+	"passenger",
+	"trip purpose",
+	"demand"
+],
+"publicationDate": "2020-05-15",
+"context":
+    {"homepage": null,
+    "documentation": null,
+    "sourceCode": null,
+    "contact": "[email protected]",
+    "grantNo": null,
+    "fundingAgency": "Reiner Lemoine Foundation",
+    "fundingAgencyLogo": "https://www.reiner-lemoine-stiftung.de/images/logo.gif",
+    "publisherLogo": null
+},
+"spatial":
+    {"location": "Germany",
+    "extent": "Europe",
+    "resolution": "1572 cells smaller than NUTS-3"
+},
+"temporal": 
+    {"referenceDate": null,
+    "timeseries": 
+        {"start": "2017-01-01T00:00+01",
+        "end": "2017-12-31T23:59+01",
+        "resolution": "7 daytimes",
+        "alignment": null,
+        "aggregationType": "sum"}
+},
+"sources": [
+    {"title": "Mobilität in Deutschland 2017: Regional-Datensatzpaket B2",
+    "description": "General description: http://www.mobilitaet-in-deutschland.de; Dataset B2 has a high spatial, but lower socio-economic resolution.",
+    "path": "https://daten.clearingstelle-verkehr.de/279/",
+    "licenses": [
+        {"name": null,
+        "title": null,
+        "path": null,
+        "instruction": "Request via DLR Clearingstelle für Verkehr",
+        "attribution": null} ]
+		},
+    {"title": "Verkehrsverflechtungsprognose 2030: Datensatz Personenverkehr",
+    "description": "General information as part of the Bundesverkehrswegeplanung 2015: https://www.bmvi.de/SharedDocs/DE/Artikel/G/BVWP/bundesverkehrswegeplan-2030-inhalte-herunterladen.html; Relevant tables are: Verkehrszellen_BVWP15.xlsx, PVMatrix_BVWP15_A2010.csv, PVMatrix_BVWP15_B2030.csv",
+    "path": "http://daten.clearingstelle-verkehr.de/276/",
+    "licenses": [
+        {"name": null,
+        "title": null,
+        "path": null,
+        "instruction": "Request via DLR Clearingstelle für Verkehr",
+        "attribution": null} ]
+	}
+],
+"licenses": [
+    {"name": "",
+    "title": "",
+    "path": "",
+    "instruction": "",
+    "attribution": ""} ],
+"contributors": [
+    {"title": "Marlin Arnz",
+	"email": "[email protected]",
+	"date": "2020-04-28",
+	"object": "metadata",
+	"comment": "Create metadata"
+	}
+],
+"resources": [
+    {"profile": "tabular-data-resource",
+    "name": "mobility_demand_germany_2017",
+    "path": "mobility_demand_germany_2017.csv",
+    "format": "csv",
+    "encoding" : "UTF-8",
+    "schema": {
+        "fields": [
+            {"name": "origin",
+			"description": "Origin cell of trips",
+			"type": "bigint",
+			"unit": null
+			},
+            {"name": "destination",
+			"description": "Destination cell of trips",
+			"type": "bigint",
+			"unit": null
+			},
+            {"name": "mode",
+			"description": "Transport mode: 1 (motorised individual traffic), 2 (),...",
+			"type": "integer",
+			"unit": null
+			},
+            {"name": "purpose",
+			"description": "Trip purpose: 1 (),...",
+			"type": "integer",
+			"unit": null
+			},
+            {"name": "start_time_group",
+			"description": "Start time of the trips: 1 (early morning: 5 to 8 a.m.),...",
+			"type": "integer",
+			"unit": null
+			},
+            {"name": "trips",
+			"description": "Number of trips by mode and purpose from origin to destination",
+			"type": "integer",
+			"unit": null
+			}
+			]
+        "primaryKey":
+			["origin",
+			"destination",
+			"mode",
+			"purpose",
+			"start_time_group"
+			],
+        "foreignKeys": [
+			{"fields":
+				["origin",
+				"destination"
+				],
+			"reference": {
+				"resource": "mobility_demand_germany_2017_cells",
+				"fields": ["id"]
+				}
+			}
+			]
+		},
+    "dialect":
+        {"delimiter": ",",
+        "decimalSeparator": "."
+		}
+	},
+	{"profile": "tabular-data-resource",
+    "name": "mobility_demand_germany_2017_cells",
+    "path": "mobility_demand_germany_2017_cells.csv",
+    "format": "csv",
+    "encoding" : "UTF-8",
+    "schema": {
+        "fields": [
+            {"name": "id",
+			"description": "Unique identifier",
+			"type": "bigint",
+			"unit": null
+			},
+            {"name": "name",
+			"description": "Cell name",
+			"type": "text",
+			"unit": null
+			},
+            {"name": "geometry",
+			"description": "GEOjson geometry",
+			"type": "polygon",
+			"unit": null
+			},
+            {"name": "spatial_structure",
+			"description": "Spatial structure categories: metropolitan (500,000 inhabitants and fringe), agglomeration (100,000 inhabitants and fringe), rural",
+			"type": "text",
+			"unit": null
+			},
+            {"name": "traffic_structure",
+			"description": "Traffic structure categories: inner-city, city, agglomeration, dense-rural, rural",
+			"type": "text",
+			"unit": null
+			},
+            {"name": "leisure_value",
+			"description": "Structural leisure value categories: high-international, high, other",
+			"type": "text",
+			"unit": null
+			},
+            {"name": "nuts_id",
+			"description": "NUTS classification identifier",
+			"type": "text",
+			"unit": null
+			},
+            {"name": "geometry_nuts",
+			"description": "GEOjson geometry of NUTS zone",
+			"type": "polygon",
+			"unit": null
+			}
+			]
+        "primaryKey": ["id"],
+        "foreignKeys": [
+			{"fields": [""],
+			"reference": {
+				"resource": "",
+				"fields": [""]
+				}
+			}
+			]
+		},
+    "dialect":
+        {"delimiter": ",",
+        "decimalSeparator": "."
+		}
+	}
+]
+"review":
+    {"path": "https://github.com/OpenEnergyPlatform/data-preprocessing/issues/52",
+    "badge": ""
+	},
+"metaMetadata":
+    {"metadataVersion": "OEP-1.4.0",
+    "metadataLicense":
+        {"name": "CC0-1.0",
+        "title": "Creative Commons Zero v1.0 Universal",
+        "path": "https://creativecommons.org/publicdomain/zero/1.0/"}
+	},
+"_comment":
+    {"metadata": "Metadata documentation and explanation (https://github.com/OpenEnergyPlatform/organisation/wiki/metadata)",
+    "dates": "Dates and time must follow the ISO8601 including time zone (YYYY-MM-DD or YYYY-MM-DDThh:mm:ss±hh)",
+    "units": "Use a space between numbers and units (100 m)",
+    "languages": "Languages must follow the IETF (BCP47) format (en-GB, en-US, de-DE)",
+    "licenses": "License name must follow the SPDX License List (https://spdx.org/licenses/)",
+    "review": "Following the OEP Data Review (https://github.com/OpenEnergyPlatform/data-preprocessing/wiki)",
+    "null": "If not applicable use (null)"
+	}
+}