100+ datasets found
  1. i

    SCVIC-APT-2021

    • ieee-dataport.org
    Updated Sep 26, 2022
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    Burak Kantarci (2022). SCVIC-APT-2021 [Dataset]. https://ieee-dataport.org/documents/scvic-apt-2021
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    Dataset updated
    Sep 26, 2022
    Authors
    Burak Kantarci
    License

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

    Description

    we create a dataset named SCVIC-APT-2021

  2. g

    Threat Level Index for Advanced Persistent Threats (APT) - European...

    • search.gesis.org
    Updated Dec 6, 2022
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    Borrett, Camille (2022). Threat Level Index for Advanced Persistent Threats (APT) - European Repository of Cyber Incidents [Dataset]. https://search.gesis.org/research_data/SDN-10.7802-2494
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    Dataset updated
    Dec 6, 2022
    Dataset provided by
    SWP - Stiftung Wissenschaft und Politik
    GESIS search
    Authors
    Borrett, Camille
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Description

    This dataset is a subset of the European Repository of Cyber Incidents (EuRepoC) database. It contains 198 cyber incidents that occurred between 2002 and 2021 attributed to 19 Advanced Persistent Threats (APTs). APTs are potent, persistent, and state-affiliated, if not state-integrated, cyber actors responsible for various cyber-attacks. Within the context of the EuRepoC project, we have designed a Threat Level Index for assessing the relative level of threat posed by some of the most active APTs in cyberspace. The index is made up of five indicators to assess: (1) the intensity of the attacks attributed to the APT groups; (2) the sectorial scope of their attacks; (3) the geographical scope; (4) the frequency of attacks and (5) the sophistication of their attacks. This dataset contains the specific incidents along with the different calculations used for reaching the Threat Level scores for 19 APTs.

    About EuRepoC: EuRepoC gathers, codes, and analyses publicly available information from over 200 sources and 600 Twitter accounts on a daily basis to report on dynamic trends in the global, and particularly the European, cyber threat environment. For more information on the scope and data collection methodology for the primary database from which this dataset is derived see: https://eurepoc.eu/methodology. The APT profiles in which the Threat Level scores are used can be found here: https://eurepoc.eu/apts.

  3. Number of office-to-apartment conversions in pipeline in the U.S. 2021-2024

    • statista.com
    Updated Jun 19, 2024
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    Statista (2024). Number of office-to-apartment conversions in pipeline in the U.S. 2021-2024 [Dataset]. https://www.statista.com/statistics/1270180/number-of-converted-apartments-us/
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    Dataset updated
    Jun 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of office-to-apartment conversions in the United States has increased year-on-year between 2021 and 2024. In 2024, 55,300 projects were in progress, planned and in prospective redevelopment. Washington, D.C. is the city with the most office-to-apartment conversions in the U.S. in 2024.

  4. Reasons why renters are moving between apartments in the U.S. in 2021

    • statista.com
    Updated Jul 3, 2023
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    Statista (2023). Reasons why renters are moving between apartments in the U.S. in 2021 [Dataset]. https://www.statista.com/statistics/1246605/reasons-for-renters-moving-between-apartments-usa/
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    Dataset updated
    Jul 3, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 17, 2021 - Feb 22, 2021
    Area covered
    United States
    Description

    According to a survey among nearly 10,700 renters in the United States who are moving between apartments in 2021, the main reasons for moving was because they found a better deal or because they needed a change of scenery. Contrary to many early predictions in the wake of the coronavirus (COVID-19) pandemic, more people are looking to stay in the same city or move to a bigger one than move to a smaller city.

  5. Breakdown of apartment applicants in the U.S. 2021, by generation

    • statista.com
    • ai-chatbox.pro
    Updated Dec 16, 2024
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    Statista (2024). Breakdown of apartment applicants in the U.S. 2021, by generation [Dataset]. https://www.statista.com/statistics/1244410/share-of-rent-applicants-in-the-usa-by-generation/
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    Dataset updated
    Dec 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2021 - Oct 2021
    Area covered
    United States
    Description

    In recent years, more and more Gen Zers and Millennials are entering the housing market as home buyers or renters. In 2021, almost half of rent applications in the United States were submitted by Millennial apartment seekers. In comparison, Baby Boomers and older were responsible for only ten percent of applications. According to a survey conducted in 2021, a large percentage of Millennials and Gen Zers are not currently saving for a house.

  6. e

    Guide values for apartment buildings and owner-occupied apartments 2019-2021...

    • data.europa.eu
    csv, json
    + more versions
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    Skatteverket, Guide values for apartment buildings and owner-occupied apartments 2019-2021 [Dataset]. https://data.europa.eu/data/datasets/https-skatteverket-entryscape-net-store-9-resource-804
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    json, csvAvailable download formats
    Dataset authored and provided by
    Skatteverket
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Guide values are factors representing the average price situation of similar apartment buildings and owner-occupied properties within a geographical area (value area).

  7. e

    Housing stock 2021 – Living space, square meters per apartment

    • data.europa.eu
    wms
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    Statistisches Landesamt Rheinland-Pfalz, Housing stock 2021 – Living space, square meters per apartment [Dataset]. https://data.europa.eu/data/datasets/c96be8cb-dca0-1339-6a85-6e2e041cdc6f
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    wmsAvailable download formats
    Dataset authored and provided by
    Statistisches Landesamt Rheinland-Pfalz
    Description

    Thematic map of housing and construction activities. Apartments in residential buildings per 1,000 inhabitants, in one-, two- and multi-family houses as a share of all apartments, the living area in square meters per apartment and per inhabitant, as well as the living area per apartment in single, two- and multi-family houses in square meters per apartment: living area, square meters per apartment, association community level

  8. Amenities that apartment renters wish they had in the U.S. in 2021

    • statista.com
    Updated Jul 3, 2023
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    Statista (2023). Amenities that apartment renters wish they had in the U.S. in 2021 [Dataset]. https://www.statista.com/statistics/1227453/amenities-that-apartment-renters-in-the-usa-wish-they-had/
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    Dataset updated
    Jul 3, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2021
    Area covered
    United States
    Description

    Nearly one in three renters who were not satisfied with their apartment amenities in the United States in 2021 wish they had more storage space. Nevertheless, when asked which is the most important apartment amenity, one third of renters chose heat and air conditioning.

  9. Desired standard of rental apartments in Poland 2021

    • statista.com
    Updated Dec 20, 2023
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    Statista (2023). Desired standard of rental apartments in Poland 2021 [Dataset]. https://www.statista.com/statistics/1245856/poland-desired-standard-of-rental-apartments/
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    Dataset updated
    Dec 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Poland
    Description

    For nearly every second person looking to rent an apartment in Poland, having a separate kitchen was important in 2021. More than 80 percent of respondents also opted to rent furnished apartments, with 43 percent looking for fully furnished and equipped ones.

  10. R

    Russia Average Apartment Price: PS: Standard Apartments: NW: Leningrad...

    • ceicdata.com
    + more versions
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    CEICdata.com, Russia Average Apartment Price: PS: Standard Apartments: NW: Leningrad Region [Dataset]. https://www.ceicdata.com/en/russia/average-apartment-price-by-region-primary-sale/average-apartment-price-ps-standard-apartments-nw-leningrad-region
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2018 - Sep 1, 2021
    Area covered
    Russia
    Variables measured
    Price
    Description

    Average Apartment Price: PS: Standard Apartments: NW: Leningrad Region data was reported at 108,979.100 RUB/sq m in Sep 2021. This records a decrease from the previous number of 109,570.270 RUB/sq m for Jun 2021. Average Apartment Price: PS: Standard Apartments: NW: Leningrad Region data is updated quarterly, averaging 45,866.940 RUB/sq m from Mar 2000 to Sep 2021, with 75 observations. The data reached an all-time high of 109,570.270 RUB/sq m in Jun 2021 and a record low of 3,080.400 RUB/sq m in Mar 2000. Average Apartment Price: PS: Standard Apartments: NW: Leningrad Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.EF005: Average Apartment Price: by Region: Primary Sale.

  11. Belarus Average Apartment Price Index: per 1 Square Metre: 1 Room

    • ceicdata.com
    Updated May 28, 2018
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    CEICdata.com (2018). Belarus Average Apartment Price Index: per 1 Square Metre: 1 Room [Dataset]. https://www.ceicdata.com/en/belarus/average-apartment-price-index
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    Dataset updated
    May 28, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2019 - Dec 1, 2021
    Area covered
    Belarus
    Variables measured
    Consumer Prices
    Description

    Average Apartment Price Index: per 1 Square Metre: 1 Room data was reported at 97.500 Same Qtr PY=100 in Dec 2021. This records an increase from the previous number of 96.900 Same Qtr PY=100 for Sep 2021. Average Apartment Price Index: per 1 Square Metre: 1 Room data is updated quarterly, averaging 115.550 Same Qtr PY=100 from Mar 2010 (Median) to Dec 2021, with 48 observations. The data reached an all-time high of 259.700 Same Qtr PY=100 in Mar 2012 and a record low of 89.600 Same Qtr PY=100 in Mar 2017. Average Apartment Price Index: per 1 Square Metre: 1 Room data remains active status in CEIC and is reported by National Statistical Committee of the Republic of Belarus. The data is categorized under Global Database’s Belarus – Table BY.EB007: Average Apartment Price Index.

  12. Belarus Average Apartment Price Index: per 1 Square Metre: 3 Rooms

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Belarus Average Apartment Price Index: per 1 Square Metre: 3 Rooms [Dataset]. https://www.ceicdata.com/en/belarus/average-apartment-price-index/average-apartment-price-index-per-1-square-metre-3-rooms
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2019 - Dec 1, 2021
    Area covered
    Belarus
    Variables measured
    Consumer Prices
    Description

    Belarus Average Apartment Price Index: per 1 Square Metre: 3 Rooms data was reported at 99.800 Same Qtr PY=100 in Dec 2021. This records a decrease from the previous number of 105.800 Same Qtr PY=100 for Sep 2021. Belarus Average Apartment Price Index: per 1 Square Metre: 3 Rooms data is updated quarterly, averaging 113.400 Same Qtr PY=100 from Mar 2010 (Median) to Dec 2021, with 48 observations. The data reached an all-time high of 333.100 Same Qtr PY=100 in Dec 2011 and a record low of 87.500 Same Qtr PY=100 in Mar 2017. Belarus Average Apartment Price Index: per 1 Square Metre: 3 Rooms data remains active status in CEIC and is reported by National Statistical Committee of the Republic of Belarus. The data is categorized under Global Database’s Belarus – Table BY.EB007: Average Apartment Price Index.

  13. Preferred source of rental housing in Poland 2021

    • ai-chatbox.pro
    • statista.com
    Updated Dec 20, 2023
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    Statista (2023). Preferred source of rental housing in Poland 2021 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1248533%2Fpoland-preferred-source-of-rental-housing%2F%23XgboD02vawLbpWJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    Dec 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Poland
    Description

    In 2021, more than 60 percent of Poles preferred to rent an apartment from a private landlord and only 13 percent of a company with a rental housing listing.

  14. e

    Residents - Migrations - based on Dresden base apartment (MD4) 2021: from...

    • data.europa.eu
    csv
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    Stadt Dresden, Residents - Migrations - based on Dresden base apartment (MD4) 2021: from district, only internal migration [Dataset]. https://data.europa.eu/data/datasets/4942~~1
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    Stadt Dresden
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Area covered
    Dresden
    Description

    Residents - Migrations - based on Dresden base apartment (MD4) 2021: from district, only internal migration

  15. e

    Census 2021 - Occupied flats according to the location of the apartment in...

    • data.europa.eu
    csv
    Updated Mar 26, 2021
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    Český statistický úřad (2021). Census 2021 - Occupied flats according to the location of the apartment in the house and the type of house [Dataset]. https://data.europa.eu/data/datasets/https-vdb-czso-cz-pll-eweb-lkod_ld-datova_sada-nazev-sldb2021_obybyty_poloha_druhdomu
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 26, 2021
    Dataset authored and provided by
    Český statistický úřad
    License

    https://data.gov.cz/zdroj/datové-sady/00025593/ead88e8bb59547dee2c3e6a6ffd4e7e9/distribuce/e22b7fc7012644b88e7021e6e9e3dee1/podmínky-užitíhttps://data.gov.cz/zdroj/datové-sady/00025593/ead88e8bb59547dee2c3e6a6ffd4e7e9/distribuce/e22b7fc7012644b88e7021e6e9e3dee1/podmínky-užití

    Description

    Occupied apartments according to the location of the apartment in the house and the type of house

  16. Apartment stock value per square foot in the U.S. 2010-2021

    • statista.com
    Updated Feb 28, 2023
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    Statista (2023). Apartment stock value per square foot in the U.S. 2010-2021 [Dataset]. https://www.statista.com/statistics/1356650/apartment-stock-value-per-square-foot-usa/
    Explore at:
    Dataset updated
    Feb 28, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average square foot value of apartments in the United States increased dramatically in recent years, peaking at about 282 U.S. dollars per square foot in 2021. This was more than double the average value just a decade ago.

  17. Residential EV Charging Data

    • kaggle.com
    Updated Nov 6, 2023
    + more versions
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    Ansh Tanwar (2023). Residential EV Charging Data [Dataset]. https://www.kaggle.com/datasets/anshtanwar/residential-ev-chargingfrom-apartment-buildings/discussion?sort=undefined
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 6, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ansh Tanwar
    License

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

    Description

    About

    datasets deal with residential electric vehicle (EV) charging in apartment buildings.The data includes EV charging reports, Hourly EV charging loads, and idle capacity, for all sessions and users individually along with weather and traffic data of the location.The datasets are described in the Data In Brief article "Residential electric vehicle charging datasets from apartment buildings" (2021).

    Use Case

    1. Charging time/Session Duration Prediction
    2. Energy consumption/EnergyLoad Prediction

    Description

    Data have been collected from a large housing cooperative in Norway, with 1,113 apartments and 2,321 residents. A new infrastructure for EV charging was installed from December 2018. From December 2018 to January 2020, charging sessions were registered by 97 user IDs; 82 of these IDs appeared to be still active at the end of the period. In the data provided with this article, Central European Time (CET) zone is used

    Dataset 1: EV charging reports

    The CSV file “Dataset 1” describes 6,878 individual charging sessions, registered by 97 user IDs from December 2018 to January 2020. The charging reports include plug-in time, plug-out time and charged energy per charging session. Each charging session is connected to a user ID, charger ID and address.

    Dataset 2: Hourly EV charging loads and idle capacity, for all sessions and users individually

    The CSV file “Dataset 2” describes EV charging loads and non-charging idle capacity for each user and all EV charging sessions individually. Charging power 3.6 kW or 7.2 kW is assumed, with immediate charging after plug-in. The non-charging idle time reflects the flexibility potential for the charging session. Synthetic idle capacity is the energy load that could potentially have been charged during the idle times.

    Dataset 3: Hourly EV charging loads and idle capacity, aggregated for private or shared CPs

    The CSV files “Dataset 3a” and “Dataset 3b” describe EV charging loads and idle capacity, aggregated for users with private (3a) or shared (3b) CPs. Charging power 3.6 kW or 7.2 kW is assumed, with immediate charging after plug-in.

    Dataset 5: Hourly smart meter data from garage Bl2

    The CSV file describes hourly smart meter data from garage Bl2, with aggregated electricity use each hour. The EVs were parked in 24 locations, whereof 22 locations have an AMS-meter measuring aggregated EV-charging at that location, with hourly resolution AMS-measurements from a main garage, where 33% of the charging sessions took place (2,243 charging sessions).

    Dataset 6: Local traffic density

    Local hourly traffic density in 5 nearby traffic locations. The data includes an hourly count of vehicles shorter than 5.6 meter, from December 2018 to January 2020.

    Dataset 7: Weather Data

    Local Weather Data of Trondheim, Norway.The data includes weather features like temperature, rainfall etc from December 2018 to January 2020.

  18. g

    Housing stock 2021 - living space, square meters per apartment | gimi9.com

    • gimi9.com
    + more versions
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    Housing stock 2021 - living space, square meters per apartment | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_8855df9a-d8de-e38e-6c28-ead83d179a57/
    Explore at:
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    🇩🇪 독일

  19. e

    Housing stock 2021 - Living space in residential buildings with 3 and more...

    • data.europa.eu
    wms
    + more versions
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    Statistisches Landesamt Rheinland-Pfalz, Housing stock 2021 - Living space in residential buildings with 3 and more apartments, square meters per apartment [Dataset]. https://data.europa.eu/data/datasets/e25dbc7f-da44-f126-4ec8-3d01fd8b98b3?locale=en
    Explore at:
    wmsAvailable download formats
    Dataset authored and provided by
    Statistisches Landesamt Rheinland-Pfalz
    Description

    Thematic map on housing and construction activities.

  20. R

    Russia Average Apartment Price: SS: Standard Apartments: SF: Republic of...

    • ceicdata.com
    + more versions
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    CEICdata.com, Russia Average Apartment Price: SS: Standard Apartments: SF: Republic of Adygea [Dataset]. https://www.ceicdata.com/en/russia/average-apartment-price-by-region-secondary-sale/average-apartment-price-ss-standard-apartments-sf-republic-of-adygea
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2018 - Sep 1, 2021
    Area covered
    Russia
    Variables measured
    Price
    Description

    Average Apartment Price: SS: Standard Apartments: SF: Republic of Adygea data was reported at 63,725.330 RUB/sq m in Sep 2021. This records an increase from the previous number of 53,755.480 RUB/sq m for Jun 2021. Average Apartment Price: SS: Standard Apartments: SF: Republic of Adygea data is updated quarterly, averaging 25,705.270 RUB/sq m from Mar 2000 to Sep 2021, with 87 observations. The data reached an all-time high of 63,725.330 RUB/sq m in Sep 2021 and a record low of 2,675.810 RUB/sq m in Mar 2000. Average Apartment Price: SS: Standard Apartments: SF: Republic of Adygea data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.EF006: Average Apartment Price: by Region: Secondary Sale.

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Burak Kantarci (2022). SCVIC-APT-2021 [Dataset]. https://ieee-dataport.org/documents/scvic-apt-2021

SCVIC-APT-2021

Explore at:
Dataset updated
Sep 26, 2022
Authors
Burak Kantarci
License

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

Description

we create a dataset named SCVIC-APT-2021

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