75 datasets found
  1. c

    Predicted mean annual number of zero-flow days of small streams in the Upper...

    • s.cnmilf.com
    • data.usgs.gov
    • +3more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Predicted mean annual number of zero-flow days of small streams in the Upper Colorado River Basin based on historic flow data [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/predicted-mean-annual-number-of-zero-flow-days-of-small-streams-in-the-upper-colorado-rive
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Colorado River
    Description

    Our objective was to model mean annual number of zero-flow days (days per year) for small streams in the Upper Colorado River Basin under historic hydrologic conditions on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between zero-flow days per year on gaged streams (115 gages) and environmental variables. We then projected zero-flow days per year to ungaged reaches in the Upper Colorad River Basin using environmental variables for each raster stream cell in the basin. This data layer shows modeled values for zero-flow days per year of each stream cell.

  2. N

    Mean Streets

    • data.cityofnewyork.us
    • data.wu.ac.at
    application/rdfxml +5
    Updated Feb 20, 2025
    + more versions
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    Police Department (NYPD) (2025). Mean Streets [Dataset]. https://data.cityofnewyork.us/Public-Safety/Mean-Streets/vs8n-zskd
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    xml, application/rdfxml, tsv, json, csv, application/rssxmlAvailable download formats
    Dataset updated
    Feb 20, 2025
    Authors
    Police Department (NYPD)
    Description

    Details of Motor Vehicle Collisions in New York City provided by the Police Department (NYPD).

  3. F

    Weighted-Average Maturity for Zero Interval, All Commercial Banks...

    • fred.stlouisfed.org
    json
    Updated Aug 4, 2017
    + more versions
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    (2017). Weighted-Average Maturity for Zero Interval, All Commercial Banks (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/EDZNQ
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    jsonAvailable download formats
    Dataset updated
    Aug 4, 2017
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Weighted-Average Maturity for Zero Interval, All Commercial Banks (DISCONTINUED) (EDZNQ) from Q2 1997 to Q2 2017 about zero interval, weighted-average, maturity, average, commercial, banks, depository institutions, and USA.

  4. t

    Mean consumption expenditure per household with expenditure greater than...

    • service.tib.eu
    Updated Jan 8, 2025
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    (2025). Mean consumption expenditure per household with expenditure greater than zero by COICOP consumption purpose - Vdataset - LDM [Dataset]. https://service.tib.eu/ldmservice/dataset/eurostat_y67f0avqv4pxyqkdbgvww
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    Dataset updated
    Jan 8, 2025
    Description

    Mean consumption expenditure per household with expenditure greater than zero by COICOP consumption purpose

  5. B

    Replication Data and Code for: On the Role of the Zero Conditional Mean...

    • borealisdata.ca
    Updated Feb 26, 2025
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    Federico Crudu; Michael C. Knaus; Giovanni Mellace; Joeri Smits (2025). Replication Data and Code for: On the Role of the Zero Conditional Mean Assumption for Causal Inference in Linear Models [Dataset]. http://doi.org/10.5683/SP3/1SQJN1
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 26, 2025
    Dataset provided by
    Borealis
    Authors
    Federico Crudu; Michael C. Knaus; Giovanni Mellace; Joeri Smits
    License

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

    Description

    The programs replicate figures from "On the Role of the Zero Conditional Mean Assumption for Causal Inference in Linear Models", by Crudu, Knaus, Mellace, and Smits. Please see the ReadMe file for additional details.

  6. T

    United States - Average Loan Size for Zero Interval, Other Risk...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 4, 2020
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    TRADING ECONOMICS (2020). United States - Average Loan Size for Zero Interval, Other Risk (Acceptable), Large Domestic Banks (DISCONTINUED) [Dataset]. https://tradingeconomics.com/united-states/average-loan-size-for-zero-interval-other-risk-acceptable-large-domestic-banks-fed-data.html
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jun 4, 2020
    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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Average Loan Size for Zero Interval, Other Risk (Acceptable), Large Domestic Banks (DISCONTINUED) was 344.00000 Thous. of $ in April of 2017, according to the United States Federal Reserve. Historically, United States - Average Loan Size for Zero Interval, Other Risk (Acceptable), Large Domestic Banks (DISCONTINUED) reached a record high of 541.00000 in October of 2004 and a record low of 169.00000 in January of 2005. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Average Loan Size for Zero Interval, Other Risk (Acceptable), Large Domestic Banks (DISCONTINUED) - last updated from the United States Federal Reserve on March of 2025.

  7. t

    Mean consumption expenditure per household with expenditure greater than...

    • service.tib.eu
    • data.europa.eu
    • +1more
    Updated Jan 8, 2025
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    (2025). Mean consumption expenditure per household with expenditure greater than zero by detailed COICOP level (in PPS) [Dataset]. https://service.tib.eu/ldmservice/dataset/eurostat_toxik0dtsjwzf6tmqd8baq
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    Dataset updated
    Jan 8, 2025
    Description

    Mean consumption expenditure per household with expenditure greater than zero by detailed COICOP level (in PPS)

  8. T

    United States - Average Loan Size for Zero Interval, All Commercial Banks...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 6, 2020
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    TRADING ECONOMICS (2020). United States - Average Loan Size for Zero Interval, All Commercial Banks (DISCONTINUED) [Dataset]. https://tradingeconomics.com/united-states/average-loan-size-for-zero-interval-all-commercial-banks-fed-data.html
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Mar 6, 2020
    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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Average Loan Size for Zero Interval, All Commercial Banks (DISCONTINUED) was 360.00000 Thous. of $ in April of 2017, according to the United States Federal Reserve. Historically, United States - Average Loan Size for Zero Interval, All Commercial Banks (DISCONTINUED) reached a record high of 449.00000 in July of 2001 and a record low of 173.00000 in January of 2005. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Average Loan Size for Zero Interval, All Commercial Banks (DISCONTINUED) - last updated from the United States Federal Reserve on March of 2025.

  9. o

    Zero Road Cross Street Data in Durham, NC

    • ownerly.com
    Updated Mar 20, 2022
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    Ownerly (2022). Zero Road Cross Street Data in Durham, NC [Dataset]. https://www.ownerly.com/nc/durham/zero-rd-home-details
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    Dataset updated
    Mar 20, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Durham, North Carolina, Zero Road
    Description

    This dataset provides information about the number of properties, residents, and average property values for Zero Road cross streets in Durham, NC.

  10. z

    Mean-modulated flicker response times EIZO CG247X - Dataset - data.govt.nz -...

    • portal.zero.govt.nz
    • catalogue.data.govt.nz
    Updated Feb 1, 2001
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    zero.govt.nz (2001). Mean-modulated flicker response times EIZO CG247X - Dataset - data.govt.nz - discover and use data [Dataset]. https://portal.zero.govt.nz/77d6ef04507c10508fcfc67a7c24be32/dataset/oai-figshare-com-article-13213436
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    Dataset updated
    Feb 1, 2001
    License

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

    Description

    Data for Figure 7 of the manuscript. Data are organized as 2 blocks of 10 rows each. The upper block is rise times. There are 5 columns, each pertaining to a different contrast. Each column comprises 10 repeated measures. Unit of measure is ms. The lower block is as above, but fall times.

  11. o

    Zero Street Cross Street Data in Fort Smith, AR

    • ownerly.com
    Updated Dec 8, 2021
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    Ownerly (2021). Zero Street Cross Street Data in Fort Smith, AR [Dataset]. https://www.ownerly.com/ar/fort-smith/zero-st-home-details
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    Dataset updated
    Dec 8, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Fort Smith, South Zero Street, Arkansas
    Description

    This dataset provides information about the number of properties, residents, and average property values for Zero Street cross streets in Fort Smith, AR.

  12. Average monthly savings of utility costs of ZEH Japan 2020

    • statista.com
    Updated Dec 7, 2022
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    Statista (2022). Average monthly savings of utility costs of ZEH Japan 2020 [Dataset]. https://www.statista.com/statistics/1221297/japan-zero-energy-house-average-monthly-saving-utility-costs/
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    Dataset updated
    Dec 7, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 31, 2020 - Aug 11, 2020
    Area covered
    Japan
    Description

    According to a survey conducted on zero energy houses in Japan in August 2020, almost 29 percent of respondents stated that the economic benefit of utility costs due to the introduction of a zero energy house ranged from around five thousand to ten thousand Japanese yen. Overall, the average saving of utility costs due to zero energy houses amounted to 6,865 Japanese yen per month.

  13. z

    LENZ - Mean minimum temperature of the coldest month - Dataset -...

    • portal.zero.govt.nz
    • catalogue.data.govt.nz
    Updated May 30, 2010
    + more versions
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    portal.zero.govt.nz (2010). LENZ - Mean minimum temperature of the coldest month - Dataset - data.govt.nz - discover and use data [Dataset]. https://portal.zero.govt.nz/77d6ef04507c10508fcfc67a7c24be32/dataset/lenz-mean-minimum-temperature-of-the-coldest-month
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    Dataset updated
    May 30, 2010
    Description

    Mean minimum temperature of the coldest month data layer used in the creation of Land Environments of New Zealand (LENZ) classification. The classification layers have been made publicly available by the Ministry for the Environment (see https://data.mfe.govt.nz/layers/?q=LENZ for to access these layers). Mean minimum temperature of the coldest month is recorded in °C. The climate station data used in the development of this climate surface were derived from summaries of climate observations published by the New Zealand Meteorological Service, using data collected over the period from 1950-1980. Estimates of the mean minimum temperature in July, the coldest month of winter, were derived from a surface fitted to monthly estimates of mean daily temperatures. The resulting data layer was created by coupling a 100 m DEM with a thin-plate spline surface fitted to an irregular network of 346 meteorological stations. The resulting 100 metre layer was then interpolated to 25 metres using bilinear interpolation. This layer has been multiplied by a factor of 10 (i.e. converted into an integer grid) to save space and make the grids more responsive. A value of 53 is actually 5.3 °C. Additional details such as the climate station locations used in the creation of the layer and error maps are defined in the attached LENZ Technical Guide.

  14. z

    Mean Sea Level in Auckland, New Zealand - Dataset - data.govt.nz - discover...

    • portal.zero.govt.nz
    • catalogue.data.govt.nz
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    portal.zero.govt.nz, Mean Sea Level in Auckland, New Zealand - Dataset - data.govt.nz - discover and use data [Dataset]. https://portal.zero.govt.nz/77d6ef04507c10508fcfc67a7c24be32/dataset/oai-figshare-com-article-6197282
    Explore at:
    License

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

    Area covered
    New Zealand, Auckland
    Description

    HIstoric recordings of the Sea Level in Auckland from 1899 to 2018, data courtesy Dr. John Hannah.

  15. z

    Mean July Soil Temperature (South Island)

    • portal.zero.govt.nz
    • lris.scinfo.org.nz
    • +1more
    Updated Feb 1, 2001
    + more versions
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    zero.govt.nz (2001). Mean July Soil Temperature (South Island) [Dataset]. https://portal.zero.govt.nz/77d6ef04507c10508fcfc67a7c24be32/dataset/mean-july-soil-temperature-south-island
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    Dataset updated
    Feb 1, 2001
    Area covered
    Te Waipounamu / South Island
    Description

    Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research) 3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

  16. t

    Aleph Zero EVM Average fees per user (AFPU) Metrics

    • tokenterminal.com
    csv, json
    Updated Apr 6, 2009
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    Token Terminal (2009). Aleph Zero EVM Average fees per user (AFPU) Metrics [Dataset]. https://tokenterminal.com/explorer/projects/aleph-zero
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Apr 6, 2009
    Dataset authored and provided by
    Token Terminal
    License

    https://tokenterminal.com/termshttps://tokenterminal.com/terms

    Time period covered
    2020 - Present
    Variables measured
    Average fees per user (AFPU)
    Description

    Detailed Average fees per user (AFPU) metrics and analytics for Aleph Zero EVM, including historical data and trends.

  17. T

    United States - Average Loan Size for Zero Interval, Low Risk, All...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 9, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - Average Loan Size for Zero Interval, Low Risk, All Commercial Banks (DISCONTINUED) [Dataset]. https://tradingeconomics.com/united-states/average-loan-size-for-zero-interval-low-risk-all-commercial-banks-fed-data.html
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Mar 9, 2020
    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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Average Loan Size for Zero Interval, Low Risk, All Commercial Banks (DISCONTINUED) was 710.00000 Thous. of $ in April of 2017, according to the United States Federal Reserve. Historically, United States - Average Loan Size for Zero Interval, Low Risk, All Commercial Banks (DISCONTINUED) reached a record high of 1229.00000 in April of 2003 and a record low of 210.00000 in July of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Average Loan Size for Zero Interval, Low Risk, All Commercial Banks (DISCONTINUED) - last updated from the United States Federal Reserve on March of 2025.

  18. F

    Weighted-Average Effective Loan Rate for Zero Interval, Low Risk, All...

    • fred.stlouisfed.org
    json
    Updated Aug 4, 2017
    + more versions
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    (2017). Weighted-Average Effective Loan Rate for Zero Interval, Low Risk, All Commercial Banks (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/EEZLNQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 4, 2017
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Weighted-Average Effective Loan Rate for Zero Interval, Low Risk, All Commercial Banks (DISCONTINUED) (EEZLNQ) from Q2 1997 to Q2 2017 about zero interval, low risk, weighted-average, average, commercial, loans, banks, depository institutions, rate, and USA.

  19. Companies' common perception of Zero Trust security model worldwide in 2021

    • statista.com
    Updated Mar 31, 2023
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    Companies' common perception of Zero Trust security model worldwide in 2021 [Dataset]. https://www.statista.com/statistics/1299086/common-perception-of-zero-trust-security-model/
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    Dataset updated
    Mar 31, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    In 2021, according to 43 percent of respondents, the most accurate definition of Zero Trust is that it represents a security strategy that assumes the network is compromised and brokers resource-specific access in isolation from network access through a least-privileged approach supported by continuous authentication, authorization, and risk evaluation for every request.

  20. d

    Mean-modulated flicker response times Dell U2415b - Dataset - data.govt.nz -...

    • catalogue.data.govt.nz
    • portal.zero.govt.nz
    Updated Feb 1, 2001
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    (2001). Mean-modulated flicker response times Dell U2415b - Dataset - data.govt.nz - discover and use data [Dataset]. https://catalogue.data.govt.nz/dataset/oai-figshare-com-article-13213442
    Explore at:
    Dataset updated
    Feb 1, 2001
    License

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

    Description

    For details, see file "Mean-modulated flicker response times EIZO CG247X".

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Email
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Link copied
Close
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U.S. Geological Survey (2024). Predicted mean annual number of zero-flow days of small streams in the Upper Colorado River Basin based on historic flow data [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/predicted-mean-annual-number-of-zero-flow-days-of-small-streams-in-the-upper-colorado-rive

Predicted mean annual number of zero-flow days of small streams in the Upper Colorado River Basin based on historic flow data

Explore at:
Dataset updated
Jul 6, 2024
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Area covered
Colorado River
Description

Our objective was to model mean annual number of zero-flow days (days per year) for small streams in the Upper Colorado River Basin under historic hydrologic conditions on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between zero-flow days per year on gaged streams (115 gages) and environmental variables. We then projected zero-flow days per year to ungaged reaches in the Upper Colorad River Basin using environmental variables for each raster stream cell in the basin. This data layer shows modeled values for zero-flow days per year of each stream cell.

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