2 datasets found
  1. g

    Long-term jobs in Thuringia (without BAB) | gimi9.com

    • gimi9.com
    Updated Nov 6, 2024
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    (2024). Long-term jobs in Thuringia (without BAB) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_110000000003051000
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    Dataset updated
    Nov 6, 2024
    Area covered
    Thuringia
    Description

    The data includes information about planned and current jobs of longer duration in Thuringia. Excluded from this are jobs of longer duration in the area of federal highways. Included contents are e.g. start, end, type, location of the construction project, etc. The receipt of the data is subject to the conditions of the “Ordinance laying down the terms of use for the provision of federal spatial data” (GeoNutzV, http://www.gesetze-im-internet.de/geonutzv/, or download under 'draft contract'). By subscribing to a data publication, you accept the Terms of Use. With regard to the reference to the source, the following rules apply: Each user has to place the source note for all data recognizable and as far as possible in visual connection with the data. If an optical connection is not possible, the source reference must be placed at a suitable place (e.g. in connection with general information on the range of services). In the case of static data, indicate the year of reference of the data. Changes, modifications or other modifications*) must be accompanied by an indication of change in the source note. The source note and the change note shall be drafted as follows: BMVI / mobilithek BMVI / mobilithek (data modified) For static data analogous: BMVI / mobilithek 2024 BMVI / mobilithek 2024 (data modified) When displayed on a website, the source reference must be linked to the URL https://mobilithek.info/. *) Changes, modifications or other modifications are understood as additions and intersections with other data as well as aggregations (e.g. summaries, formation of averages, etc.). Individual visualizations of the data are not relevant.

  2. e

    Long-term jobs in Thuringia (without BAB)

    • data.europa.eu
    xml
    Updated Aug 8, 2024
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    Thüringer Landesamt für Bau und Verkehr (2024). Long-term jobs in Thuringia (without BAB) [Dataset]. https://data.europa.eu/data/datasets/110000000003051000
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    xmlAvailable download formats
    Dataset updated
    Aug 8, 2024
    Dataset authored and provided by
    Thüringer Landesamt für Bau und Verkehr
    License

    http://dcat-ap.de/def/licenses/other-closedhttp://dcat-ap.de/def/licenses/other-closed

    Description

    The data includes information about planned and current jobs of longer duration in Thuringia. Excluded from this are jobs of longer duration in the area of federal highways.

    Included contents are e.g. start, end, type, location of the construction project, etc.

    The receipt of the data is subject to the conditions of the “Ordinance laying down the terms of use for the provision of federal spatial data” (GeoNutzV, http://www.gesetze-im-internet.de/geonutzv/, or download under 'draft contract'). By subscribing to a data publication, you accept the Terms of Use. With regard to the reference to the source, the following rules apply: Each user has to place the source note for all data recognizable and as far as possible in visual connection with the data. If an optical connection is not possible, the source reference must be placed at a suitable place (e.g. in connection with general information on the range of services). In the case of static data, indicate the year of reference of the data. Changes, modifications or other modifications*) must be accompanied by an indication of change in the source note. The source note and the change note shall be drafted as follows: BMVI / mobilithek BMVI / mobilithek (data modified) For static data analogous: BMVI / mobilithek 2024 BMVI / mobilithek 2024 (data modified) When displayed on a website, the source reference must be linked to the URL https://mobilithek.info/.

    *) Changes, modifications or other modifications are understood as additions and intersections with other data as well as aggregations (e.g. summaries, formation of averages, etc.). Individual visualizations of the data are not relevant.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(2024). Long-term jobs in Thuringia (without BAB) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_110000000003051000

Long-term jobs in Thuringia (without BAB) | gimi9.com

Explore at:
Dataset updated
Nov 6, 2024
Area covered
Thuringia
Description

The data includes information about planned and current jobs of longer duration in Thuringia. Excluded from this are jobs of longer duration in the area of federal highways. Included contents are e.g. start, end, type, location of the construction project, etc. The receipt of the data is subject to the conditions of the “Ordinance laying down the terms of use for the provision of federal spatial data” (GeoNutzV, http://www.gesetze-im-internet.de/geonutzv/, or download under 'draft contract'). By subscribing to a data publication, you accept the Terms of Use. With regard to the reference to the source, the following rules apply: Each user has to place the source note for all data recognizable and as far as possible in visual connection with the data. If an optical connection is not possible, the source reference must be placed at a suitable place (e.g. in connection with general information on the range of services). In the case of static data, indicate the year of reference of the data. Changes, modifications or other modifications*) must be accompanied by an indication of change in the source note. The source note and the change note shall be drafted as follows: BMVI / mobilithek BMVI / mobilithek (data modified) For static data analogous: BMVI / mobilithek 2024 BMVI / mobilithek 2024 (data modified) When displayed on a website, the source reference must be linked to the URL https://mobilithek.info/. *) Changes, modifications or other modifications are understood as additions and intersections with other data as well as aggregations (e.g. summaries, formation of averages, etc.). Individual visualizations of the data are not relevant.

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