15 datasets found
  1. T

    Germany Stock Market Index (DE40) Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). Germany Stock Market Index (DE40) Data [Dataset]. https://tradingeconomics.com/germany/stock-market
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 30, 1987 - Jul 4, 2025
    Area covered
    Germany
    Description

    Germany's main stock market index, the DE40, fell to 23787 points on July 4, 2025, losing 0.61% from the previous session. Over the past month, the index has declined 2.20%, though it remains 28.75% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Germany. Germany Stock Market Index (DE40) - values, historical data, forecasts and news - updated on July of 2025.

  2. T

    Germany Stock Market Index (DE40) Data

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, Germany Stock Market Index (DE40) Data [Dataset]. https://tradingeconomics.com/germany/stock-market?&sa=u&ei=tiw7upakjqmc0qwmwicgdq&ved=0cc8qfjad&usg=afqjcnhzyidy8a90vbhu5fasvrwsw7vd6q
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 30, 1987 - Jun 24, 2025
    Area covered
    Germany
    Description

    Germany's main stock market index, the DE40, rose to 23668 points on June 24, 2025, gaining 1.71% from the previous session. Over the past month, the index has declined 1.50%, though it remains 30.20% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Germany. Germany Stock Market Index (DE40) - values, historical data, forecasts and news - updated on June of 2025.

  3. Futures Market Datasets

    • kaggle.com
    Updated Jan 9, 2024
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    mlippo (2024). Futures Market Datasets [Dataset]. https://www.kaggle.com/datasets/mlippo/futures-market-dataset/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 9, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    mlippo
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset contains the futures market from the following countries:

    Australia -> Aus200

    Brazil -> Bra50 and MinDol

    Spain -> Esp35

    France -> Fra40

    Germany -> Ger40

    Hong Kong -> HkInd

    Italy-> Ita40

    Netherlands -> Neth25

    Switzerland -> Swi20

    United Kingdom -> UK100

    United States -> Usa500, UsaTec and UsaRus

    There's a csv file for all those markets and one with all in one.

    Note: the MinDol, Swi20 and Neth25 data were taken by it's monthly contract, because MetaTrader5 don't have their historical series (like S&P 500, that has the 'Usa500' and 'Usa500Mar24'):

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F17272056%2Fefa5c9f6d7841c496d20d467d4a1c874%2Ffutures_dailycontract.png?generation=1704756245532483&alt=media" alt="">

    MT5 Library: (I used PyCharm because the i couldn't be able to use the mt5 library on GoogleColab)

    import MetaTrader5 as mt5
    import pandas as pd
    import numpy as np
    import pytz
    from datetime import datetime
    
    if not mt5.initialize(login= , server= "server", password=""):
    # you can use your login and password if you have an account on a broker to use mt5
      print("initialize() failed, error code =", mt5.last_error())
      quit()
    
    
    symbols = mt5.symbols_get()
    
    list_symbols = []
    for num in range(0, len(symbols)):
      list_symbols.append(symbols[num].name)
    
    print(list_symbols)
    
    list_futures = ['Aus200', 'Bra50', 'Esp35', 'Fra40', 'Ger40', 'HKInd', 'Ita40Mar24', 'Jp225', 'MinDolFeb24', 'Neth25Jan24', 'UK100', 'Usa500', 'UsaRus', 'UsaTec', 'Swi20Mar24']
    time_frame = mt5.TIMEFRAME_D1
    dynamic_vars = {}
    
    time_zone = pytz.timezone('Etc/UTC')
    
    time_start = datetime(2017, 1, 1, tzinfo= time_zone)
    time_end = datetime(2023, 12, 31, tzinfo= time_zone)
    
    for sym in list_futures:
      var = f'{sym}'
      rates = mt5.copy_rates_range(sym, time_frame, time_start, time_end)
    
      rates_frame = pd.DataFrame(rates)
      rates_frame['time'] = pd.to_datetime(rates_frame['time'], unit='s')
      rates_frame = rates_frame[['time', 'close']]
      rates_frame.rename(columns = {'close': var}, inplace = True)
      dynamic_vars[var] = rates_frame
    
      dynamic_vars[sym].to_csv(f'{sym}.csv', index = False)
    
  4. p

    Roller Skating Clubs in Germany - 40 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jun 28, 2025
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    Poidata.io (2025). Roller Skating Clubs in Germany - 40 Verified Listings Database [Dataset]. https://www.poidata.io/report/roller-skating-club/germany
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Germany
    Description

    Comprehensive dataset of 40 Roller skating clubs in Germany as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  5. p

    Mining Consultants in Germany - 40 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jun 26, 2025
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    Poidata.io (2025). Mining Consultants in Germany - 40 Verified Listings Database [Dataset]. https://www.poidata.io/report/mining-consultant/germany
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jun 26, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Germany
    Description

    Comprehensive dataset of 40 Mining consultants in Germany as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  6. N

    German Valley, IL Population Breakdown by Gender and Age Dataset: Male and...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). German Valley, IL Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/e1e24026-f25d-11ef-8c1b-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Illinois, German Valley
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of German Valley by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for German Valley. The dataset can be utilized to understand the population distribution of German Valley by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in German Valley. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for German Valley.

    Key observations

    Largest age group (population): Male # 0-4 years (44) | Female # 40-44 years (21). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

    Variables / Data Columns

    • Age Group: This column displays the age group for the German Valley population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the German Valley is shown in the following column.
    • Population (Female): The female population in the German Valley is shown in the following column.
    • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in German Valley for each age group.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for German Valley Population by Gender. You can refer the same here

  7. p

    Diving Contractors in Germany - 40 Available (Free Sample)

    • poidata.io
    csv
    Updated Jun 9, 2025
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    Poidata.io (2025). Diving Contractors in Germany - 40 Available (Free Sample) [Dataset]. https://www.poidata.io/report/diving-contractor/germany
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Germany
    Description

    This dataset provides information on 40 in Germany as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

  8. w

    Dataset of books called The Forty-eighters : political refugees of the...

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books called The Forty-eighters : political refugees of the German Revolution of 1848 [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=The+Forty-eighters+%3A+political+refugees+of+the+German+Revolution+of+1848
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about books. It has 1 row and is filtered where the book is The Forty-eighters : political refugees of the German Revolution of 1848. It features 7 columns including author, publication date, language, and book publisher.

  9. N

    German, New York Population Breakdown by Gender and Age Dataset: Male and...

    • neilsberg.com
    csv, json
    Updated Feb 19, 2024
    + more versions
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    Neilsberg Research (2024). German, New York Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/8dde2e80-c989-11ee-9145-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 19, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    German
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of German town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for German town. The dataset can be utilized to understand the population distribution of German town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in German town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for German town.

    Key observations

    Largest age group (population): Male # 50-54 years (23) | Female # 40-44 years (12). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

    Variables / Data Columns

    • Age Group: This column displays the age group for the German town population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the German town is shown in the following column.
    • Population (Female): The female population in the German town is shown in the following column.
    • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in German town for each age group.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for German town Population by Gender. You can refer the same here

  10. m

    Latvian Used-car Market Announcements Monitoring in 2022

    • data.mendeley.com
    Updated Dec 19, 2022
    + more versions
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    Valerijs Skribans (2022). Latvian Used-car Market Announcements Monitoring in 2022 [Dataset]. http://doi.org/10.17632/mgdthphhy4.1
    Explore at:
    Dataset updated
    Dec 19, 2022
    Authors
    Valerijs Skribans
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Used-car market monitoring was started in 2018, 03 January, when Federal Administrative Court in Leipzig (Germany) allowed cities and communes in Germany to impose bans for diesel cars in order to reduce the level of nitric oxide in the air. This data-set represent 5th year of market monitoring, 2022. First year monitoring (2018) data-set is available together with data article: Skribans, V. Used-car market dataset for Latvia 2018, (2019) Data in Brief, 22, pp. 859-862. doi: 10.1016/j.dib.2018.12.075. Methodology of data mining is available in research paper: SKRIBANS, V. and HEGERTY, S.W., 2019. Data mining application for used-car market analysis, IMCIC 2019 - 10th International Multi-Conference on Complexity, Informatics and Cybernetics, Proceedings 2019, pp. 35-40. Second year monitoring (2019) data-set is available there: Skribans, Valerijs (2019), “Latvian Used-car Market Announcements Monitoring in 2019”, Mendeley Data, V1, doi: 10.17632/kyf948x63n.1 Third year year monitoring (2020) data-set is available there: Skribans, Valerijs; Gulbis, Aivars; Krastins, Aivars (2020), “Latvian Used-car Market Announcements Monitoring in 2020”, Mendeley Data, V1, doi: 10.17632/hg38nn6c45.1 . First quarter of the fourth year of market monitoring, 2021. set is available there: Skribans, Valerijs; Gulbis, Aivars; Cevers, Aldis; Rudzitis, Normunds; Krastins, Aivars (2021), “Latvian Used-car Market Announcements Monitoring in 2021 Q1”, Mendeley Data, V1, doi: 10.17632/rh9zh9ncnk.1

  11. T

    Germany Imports from Samoa

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 2, 2017
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    TRADING ECONOMICS (2017). Germany Imports from Samoa [Dataset]. https://tradingeconomics.com/germany/imports-from-samoa
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Jun 2, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 29, 2000 - Jan 31, 2024
    Area covered
    Germany
    Description

    Imports from Samoa in Germany decreased to 35 EUR Thousand in January from 40 EUR Thousand in December of 2023. This dataset includes a chart with historical data for Germany Imports from Samoa.

  12. N

    German Valley, IL Age Group Population Dataset: A Complete Breakdown of...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). German Valley, IL Age Group Population Dataset: A Complete Breakdown of German Valley Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/aa90525c-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Illinois, German Valley
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the German Valley population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for German Valley. The dataset can be utilized to understand the population distribution of German Valley by age. For example, using this dataset, we can identify the largest age group in German Valley.

    Key observations

    The largest age group in German Valley, IL was for the group of age 40 to 44 years years with a population of 52 (10.46%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in German Valley, IL was the 80 to 84 years years with a population of 4 (0.80%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group in consideration
    • Population: The population for the specific age group in the German Valley is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of German Valley total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for German Valley Population by Age. You can refer the same here

  13. E

    Data from: Whole exome sequencing (WES)

    • ega-archive.org
    Updated Aug 28, 2023
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    (2023). Whole exome sequencing (WES) [Dataset]. https://ega-archive.org/datasets/EGAD00001011324
    Explore at:
    Dataset updated
    Aug 28, 2023
    License

    https://ega-archive.org/dacs/EGAC00001003403https://ega-archive.org/dacs/EGAC00001003403

    Description

    The whole study comprises of two patient cohorts. Screening cohort: 40 patients of Germany; validation cohort: 40 patients from Asia. Further, bile duct and CCA cell lines have been analyzed. This dataset contains whole exome sequencing data of 37 tumor/normal pairs from the screening cohort plus an additional relapse tumor of one of those 37 patients. Data was generated on Illumina HiSeq 2000 device in paired-end mode and is stored in BAM file format.

  14. T

    Germany Wholesale Prices

    • fr.tradingeconomics.com
    • ko.tradingeconomics.com
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    csv, excel, json, xml
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    TRADING ECONOMICS, Germany Wholesale Prices [Dataset]. https://fr.tradingeconomics.com/germany/wholesale-prices
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1968 - Apr 30, 2025
    Area covered
    Allemagne
    Description

    Les prix de gros en Allemagne ont augmenté à 117,40 points en janvier contre 116,30 points en décembre 2024. Cette dataset fournit - Prix de gros en Allemagne - valeurs réelles, données historiques, prévisions, graphique, statistiques, calendrier économique et actualités.

  15. T

    Germany Wholesale Prices YoY

    • fr.tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 13, 2025
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    TRADING ECONOMICS (2025). Germany Wholesale Prices YoY [Dataset]. https://fr.tradingeconomics.com/germany/wholesale-prices-yoy
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1969 - May 31, 2025
    Area covered
    Allemagne
    Description

    Les prix de gros sur un an en Allemagne ont diminué à 0,40 % en mai contre 0,80 % en avril 2025. Cette dataset présente un graphique avec des données historiques sur l'Indice des prix de gros en Allemagne sur un an.

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TRADING ECONOMICS (2025). Germany Stock Market Index (DE40) Data [Dataset]. https://tradingeconomics.com/germany/stock-market

Germany Stock Market Index (DE40) Data

Germany Stock Market Index (DE40) - Historical Dataset (1987-12-30/2025-07-04)

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8 scholarly articles cite this dataset (View in Google Scholar)
xml, csv, json, excelAvailable download formats
Dataset updated
Jun 15, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 30, 1987 - Jul 4, 2025
Area covered
Germany
Description

Germany's main stock market index, the DE40, fell to 23787 points on July 4, 2025, losing 0.61% from the previous session. Over the past month, the index has declined 2.20%, though it remains 28.75% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Germany. Germany Stock Market Index (DE40) - values, historical data, forecasts and news - updated on July of 2025.

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