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.
Details of Motor Vehicle Collisions in New York City provided by the Police Department (NYPD).
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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.
Mean consumption expenditure per household with expenditure greater than zero by COICOP consumption purpose
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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.
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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.
Mean consumption expenditure per household with expenditure greater than zero by detailed COICOP level (in PPS)
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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.
This dataset provides information about the number of properties, residents, and average property values for Zero Road cross streets in Durham, NC.
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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.
This dataset provides information about the number of properties, residents, and average property values for Zero Street cross streets in Fort Smith, AR.
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.
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.
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HIstoric recordings of the Sea Level in Auckland from 1899 to 2018, data courtesy Dr. John Hannah.
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.
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Detailed Average fees per user (AFPU) metrics and analytics for Aleph Zero EVM, including historical data and trends.
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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.
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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.
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.
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For details, see file "Mean-modulated flicker response times EIZO CG247X".
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.