Graph and download economic data for Velocity of M1 Money Stock (M1V) from Q1 1959 to Q1 2025 about velocity, M1, monetary aggregates, and USA.

United States - Velocity of M1 Money Stock was 1.62000 Ratio in January of 2025, according to the United States Federal Reserve. Historically, United States - Velocity of M1 Money Stock reached a record high of 10.70300 in October of 2007 and a record low of 1.21500 in July of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Velocity of M1 Money Stock - last updated from the United States Federal Reserve on August of 2025.

Graph and download economic data for Velocity of M1 Money Stock from Q1 1959 to Q2 2025 about velocity, M1, monetary aggregates, and USA.

M1 Money Supply Velocity: 66 years of historical data from 1959 to 2025.

Graph and download economic data for Monetary Aggregates and Their Components: Narrow Money and Components: M1 and Components: M1 for Euro Area (19 Countries) (MANMM101EZM657S) from Feb 1970 to Apr 2025 about M1, Euro Area, monetary aggregates, and Europe.

Money Supply M1 in the United Kingdom decreased to 2227464 GBP Million in June from 2233344 GBP Million in May of 2025. This dataset provides - United Kingdom Money Supply M1 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Monetary Aggregates and Their Components: Narrow Money and Components: M1 and Components: M1 for United Kingdom (MANMM101GBM189S) from Sep 1986 to Nov 2023 about M1, monetary aggregates, and United Kingdom.

The work presents the systematic evaluation of the acceleration-, velocity- and duration-dependency of the short- and medium-latency stretch reflexes in the ankle plantarflexors. The stretch rflexes are evaluated using EMG measurements and processing with the systematic evaluation performed through thorough stretch perturbation design.In short, we showed that perturbation acceleration, velocity and duration all shape the M1 and M2 response, often via nonlinear or interacting dependencies. Consequently, systematic execution and reporting of stretch reflex and spasticity studies, avoiding uncontrolled parameter interdependence, is essential for proper understanding of the reflex neurophysiology.

Velocities at M1-M8

Money Supply M1 in Thailand decreased to 3215.47 THB Billion in June from 3267.44 THB Billion in May of 2025. This dataset provides - Thailand Money Supply M1 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Ten current meter moorings (M1 through M10) were deployed in the Drake Passage in January 2006 (DRAKE 2006, ANT-XIII/3) from RV Polarstern on her way south from Punta Arenas to Jubany station (King-George Island) and Bernardo O Higgins Station (Antarctic Peninsula). The moorings were placed along ground track #104 of Jason altimetry satellite. Recovery took place in April 2008 (Drake 2008, ANT-XXIV/3) from RV Polarstern on her way from Bellingshausen station (King George Island) to Punta Arenas. Moorings M2 and M8 could not be recovered (flotation issues). This data set is made of the velocity time series from 8 moorings.

Dataset Description

The data contained in this package aims to act as a open-access database with pressure maps, alongside proper description of the situations considered. In addition, the data within this package aims to contribute to the development and validation of an open-source numerical project with predictive capabilities. The study replicates various complex shapes of membrane structures for testing under Atmospheric Boundary Layer (ABL) flow, Tornadic-like flow, and Downburst-like flow at the Wind Engineering, Energy, and Environment (WindEEE) research facility. Prestressed membrane structures are lightweight structures with a multitude of application areas from small shading devices and façade elements to wide-span roofs covering sport stadia and other leisure facilities. Due to their architectural appeal and the ability to cover large areas with minimal material usage, they represent a highly resource-efficient category of engineering structures.

E1. ABL Loading

Five current meter moorings (M1 through M5) were deployed in the Norther Drake Passage in April 2008 (DRAKE 2008, ANT-XXIV/3) from RV Polarstern on her way from Bellingshausen station (King George Island) to Punta Arenas. The moorings were placed along ground track #104 of Jason altimetry satellite. They were retrieved in March-April 2009 from RV Polarstern (DRAKE 2009, ANT-XXV/4) on her way south from Punta Arenas to Jubany. The five moorings were successfully recovered. This data set is made of the velocity times series from the 5 moorings.

At the end of 2024, the M2 broad money supply in China amounted to over *** trillion yuan. Broad money supply had been growing consistently over the years. However, the overall growth rate of all money supply had been decreasing. Money is not money? In economic theory, the money supply describes the volume of currency that exists in a country. Even though it might sound counterintuitive, there are different types of money. For example, cash, saving deposits, or other liquid assets are then divided into tiers from M1 to M3. Thereby, M2 money or broad money comprised of cash and assets that can easily be converted into cash. The main application of M2 money is making payments and economic transactions. For mainstream economists, the volume of M1 and M2 money can indicate inflation. The mysterious case of money expansion in China The post-pandemic economic recovery has not materialized as the growth in the M2 money supply would have indicated in China. As a consequence of global anti-COVID-19 measures, China’s economic growth fell far below the country’s development targets. After another underperforming year in 2022, the M2 money supply grew by almost ** percent in the first quarter of 2023, but the GDP increased only by *** percent, which indicated that the money does not reach the real economy. Therefore, the Chinese economy could be in a liquidity trap or a balance sheet recession.

By the end of 2024, the M1 money supply in China amounted to over ** trillion yuan. M1 money supply includes cash and demand deposits.

PurposeThe study aims to develop easy-to-implement concomitant field-compensated gradient waveforms with varying velocity-weighting (M1) and acceleration-weighting (M2) levels and to evaluate their efficacy in correcting signal dropouts and preserving the black-blood state in liver diffusion-weighted imaging. Additionally, we seek to determine an optimal degree of compensation that minimizes signal dropouts while maintaining blood signal suppression.MethodsNumerically optimized gradient waveforms were adapted using a novel method that allows for the simultaneous tuning of M1- and M2-weighting by changing only one timing variable. Seven healthy volunteers underwent diffusion-weighted magnetic resonance imaging (DWI) with five diffusion encoding schemes (monopolar, velocity-compensated (M1 = 0), acceleration-compensated (M1 = M2 = 0), 84%-M1–M2-compensated, 67%-M1–M2-compensated) at b-values of 50 and 800 s/mm2 at a constant echo time of 70 ms. Signal dropout correction and apparent diffusion coefficients (ADCs) were quantified using regions of interest in the left and right liver lobe. The blood appearance was evaluated using two five-point Likert scales.ResultsSignal dropout was more pronounced in the left lobe (19%-42% less signal than in the right lobe with monopolar scheme) and best corrected by acceleration-compensation (8%-10% less signal than in the right lobe). The black-blood state was best with monopolar encodings and decreased significantly (p < 0.001) with velocity- and/or acceleration-compensation. The partially M1–M2-compensated encoding schemes could restore the black-blood state again. Strongest ADC bias occurred for monopolar encodings (difference between left/right lobe of 0.41 μm2/ms for monopolar vs. < 0.12 μm2/ms for the other encodings).ConclusionAll of the diffusion encodings used in this study demonstrated suitability for routine DWI application. The results indicate that a perfect value for the level of M1–M2-compensation does not exist. However, among the examined encodings, the 84%-M1–M2-compensated encodings provided a suitable tradeoff.

The dataset consists of hydrodynamic results on water level, inundation depth, and flow direction and speed during an extratropical storm, whereby ice-rafts were emplaced on the marsh surface. This dataset is linked to another dataset where the sediment deposits are showed, followed by analysis of those deposits.

Three sub-ice-shelf moorings were deployed on Fimbulisen by the Norwegian Polar Institute in December 2009 and have been maintained either each year or every two years. The data consist of temperature, pressure and velocity observations between 09.12.2009 and 31.12.2021 at three mooring sites. All three moorings are hanging below the ice shelf and each is equipped with an upper Aanderaa RCM9 close to the ice base and a lower one close to the bottom. Exact locations and depths are given in each data file.

This data set only contains the data published in the two publications mentioned below.

Note: The full hourly data consisting of temperature, salinity, dissolved oxygen, currents, and pressure for all six instruments is available here.

Quality

The raw data have been processed and quality controlled. All velocities have been corrected for magnetic declination. Due to instrument failures, there are some gaps in the data, and due to sensor drifts, most salinity data had to be discarded.

Related papers

Lauber, J., Hattermann, T., de Steur, L., Darelius, E., Auger, M., Nøst, O.A., & Moholdt, G. (2023). Warming beneath an East Antarctic ice shelf due to increased subpolar westerlies and reduced sea ice. Nature Geoscience, 16, 877-885. https://doi.org/10.1038/s41561-023-01273-5

Lauber, J., de Steur, L., Hattermann, T., & Darelius, E. (2024). Observed Seasonal Evolution of the Antarctic Slope Current System off the Coast of Dronning Maud Land, East Antarctica. Journal of Geophysical Research: Oceans, 129(4), e2023JC020540. https://doi.org/10.1029/2023JC020540

Versions

Version 1.0 (03.07.2023): First upload of data.

Version 1.1 (11.10.2023): An error in the time vector has been fixed. The time is now given in days since 1.1.1950 ( this was wrongly 1.1.1050 in v1.0).

Version 2.0 (22.01.2024): Temperature, velocity, and pressure have been added until 31.12.2021 for M1_lower and M3_lower.

Version 3.0 (07.08.2024): Data have been re-processed using updated routines. The main temperature sensors at all instruments were thought to have recorded only noise since mooring deployment in 2009. However, after the most recent fieldwork in December 2023, these sensors were found to have worked just fine with the right calibration coefficients applied. The time-mean offset between the temperature of the main and (previously used) secondary sensor is smaller than the instrument accuracy of 0.05°C. In this version of the data, the published temperature is the one measured by the main sensor for all instruments except M3_lower. For M3_lower, the primary temperature was taken until it started drifting (23.10.2014). After this date, the secondary temperature was taken, but the mean offset to the main temperature (0.0227 °C, calculated before the main sensor started drifting) was removed.

Money Supply M1 in India increased to 69785.59 INR Billion in May from 65801.13 INR Billion in April of 2025. This dataset provides - India Money Supply M1 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

We report on the discovery of GJ 3470b, a transiting hot Uranus of mass m_p_=14.0+/-1.8M_{earth}, radius R_p=4.2+/-0.6R_{earth} and period P=3.3371+/-0.0002-day. Its host star is a nearby (d=25.2+/-2.9pc) M1.5 dwarf of mass M_star=0.54+/-0.07M_{sun} and radius R_star=0.50+/-0.06R_{sun}_. The detection was made during a radial-velocity campaign with Harps that focused on the search for short-period planets orbiting M dwarfs. Once the planet was discovered and the transit-search window narrowed to about 10% of an orbital period, a photometric search started with Trappist and quickly detected the ingress of the planet. Additional observations with Trappist, EulerCam and Nites definitely confirmed the transiting nature of GJ3470b and allowed the determination of its true mass and radius. The star's visible or infrared brightness (Vmag=12.3, Kmag=8.0), together with a large eclipse depth D=0.57+/-0.05%, ranks GJ 3470 b among the most suitable planets for follow-up characterizations.