The benchmark interest rate in the United States was last recorded at 4.50 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The benchmark interest rate in Indonesia was last recorded at 5.25 percent. This dataset provides - Indonesia Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Mexico was last recorded at 7.75 percent. This dataset provides - Mexico Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The U.S. federal funds effective rate underwent a dramatic reduction in early 2020 in response to the COVID-19 pandemic. The rate plummeted from 1.58 percent in February 2020 to 0.65 percent in March, and further decreased to 0.05 percent in April. This sharp reduction, accompanied by the Federal Reserve's quantitative easing program, was implemented to stabilize the economy during the global health crisis. After maintaining historically low rates for nearly two years, the Federal Reserve began a series of rate hikes in early 2022, with the rate moving from 0.33 percent in April 2022 to 5.33 percent in August 2023. The rate remained unchanged for over a year, before the Federal Reserve initiated its first rate cut in nearly three years in September 2024, bringing the rate to 5.13 percent. By December 2024, the rate was cut to 4.48 percent, signaling a shift in monetary policy in the second half of 2024. In January 2025, the Federal Reserve implemented another cut, setting the rate at 4.33 percent, which remained unchanged throughout the following months. What is the federal funds effective rate? The U.S. federal funds effective rate determines the interest rate paid by depository institutions, such as banks and credit unions, that lend reserve balances to other depository institutions overnight. Changing the effective rate in times of crisis is a common way to stimulate the economy, as it has a significant impact on the whole economy, such as economic growth, employment, and inflation. Central bank policy rates The adjustment of interest rates in response to the COVID-19 pandemic was a coordinated global effort. In early 2020, central banks worldwide implemented aggressive monetary easing policies to combat the economic crisis. The U.S. Federal Reserve's dramatic reduction of its federal funds rate - from 1.58 percent in February 2020 to 0.05 percent by April - mirrored similar actions taken by central banks globally. While these low rates remained in place throughout 2021, mounting inflationary pressures led to a synchronized tightening cycle beginning in 2022, with central banks pushing rates to multi-year highs. By mid-2024, as inflation moderated across major economies, central banks began implementing their first rate cuts in several years, with the U.S. Federal Reserve, Bank of England, and European Central Bank all easing monetary policy.

Graph and download economic data for FOMC Summary of Economic Projections for the Fed Funds Rate, Median (FEDTARMD) from 2025 to 2027 about projection, federal, median, rate, and USA.

The benchmark interest rate in Canada was last recorded at 2.75 percent. This dataset provides - Canada Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in China was last recorded at 3 percent. This dataset provides the latest reported value for - China Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The benchmark interest rate in Sweden was last recorded at 2 percent. This dataset provides the latest reported value for - Sweden Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The benchmark interest rate in Poland was last recorded at 5 percent. This dataset provides - Poland Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in the United Kingdom was last recorded at 4 percent. This dataset provides - United Kingdom Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in India was last recorded at 5.50 percent. This dataset provides - India Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

About dataset: This dataset is designed to support research and analysis in the context of integrating Software-Defined Networking (SDN) with Intelligent Supply Chain Systems (ISCS) under 6G conditions. The goal is to optimize dynamic resource allocation, predict network demand, and manage supply chain operations in real-time, while achieving improvements in network performance metrics such as latency, bandwidth utilization, and order fulfillment rates. The dataset contains 1,000 records representing various aspects of the supply chain and network performance.

Dataset Features: Latency_ms: Type: Numeric Description: The delay in milliseconds experienced in network communication within the supply chain. This metric is crucial in determining the responsiveness of the system and how quickly data is transferred across the network.

Bandwidth_Allocation_GB: Type: Numeric Description: The amount of bandwidth, in gigabytes, allocated to supply chain operations. This affects data transmission rates, system efficiency, and overall network performance.

Packet_Loss_Rate: Type: Numeric (Percentage) Description: The rate at which data packets are lost during transmission, impacting network reliability and throughput. It is often affected by latency and network status.

Throughput_Mbps: Type: Numeric (Megabits per second) Description: The rate at which data is successfully transmitted over the network. This metric is key to understanding how well the system can handle high volumes of traffic and data transmission efficiency.

Shipment_Delay: Type: Numeric (in hours) Description: The delay in shipment or order fulfillment. This metric helps in measuring supply chain efficiency, with higher delays indicating inefficiencies in the resource allocation framework.

Transport_Status: Type: Categorical (On-Time, Delayed, Critical) Description: The status of the transport within the supply chain, indicating whether the shipment is on time, delayed, or critical.

Urgency_Level: Type: Categorical (1 = Low, 2 = Medium, 3 = High) Description: Represents the urgency of the order. This affects how resources are dynamically allocated, with high-urgency orders being prioritized by the system.

6G_Network_Status: Type: Binary (0 = Offline, 1 = Online) Description: The operational status of the 6G network. Online status ensures low-latency, high-speed communication, while offline status increases latency and decreases overall network efficiency.

Resource_Utilization_Efficiency: Type: Numeric (Percentage) Description: A measure of how effectively the allocated resources (bandwidth, network capacity) are being used. Higher values indicate better utilization of available resources.

Cost_Reduction: Type: Numeric (Percentage) Description: The reduction in operational costs due to efficient resource utilization. This metric helps to quantify the cost-saving benefits of the proposed framework.

Order_Completion_Rate: Type: Numeric (Percentage) Description: The percentage of completed orders within a specified time frame. This is an essential indicator of supply chain efficiency and system responsiveness.

Target Column: Supply_Chain_Status Type: Binary (0 = Suboptimal, 1 = Optimal) Description: This column indicates the overall performance of the supply chain system based on key metrics such as latency, bandwidth utilization, and order completion rate. A value of 1 represents optimal performance, while 0 signifies suboptimal performance.

Utilze Cases: Dynamic Resource Allocation Analysis: Researchers can use this dataset to analyze how SDN and ISCS integration improves dynamic resource allocation in supply chains, especially under 6G conditions.

Performance Metrics Evaluation: The dataset allows for calculating important performance metrics such as latency, bandwidth utilization, packet loss, throughput, and cost reduction.

**Predictive Modeling: **The dataset can be used to build predictive models that forecast network demands and supply chain performance under varying conditions.

Optimization of Supply Chain Operations: This dataset helps in assessing the efficiency and effectiveness of supply chain operations, particularly in urgent and high-volume scenarios.

Potential Insights: Reduced Latency and Improved Bandwidth Utilization: How well the system performs in terms of minimizing delay and optimizing network resource allocation under high-demand scenarios.

Supply Chain Responsiveness: How quickly the system can adapt to changing conditions, such as urgent shipments, and maintain high levels of order completion.

Cost Efficiency: By comparing cost reduction percentages with resource utilization efficiency, the dataset allows for identifying cost-saving opportunities in supply chain management.

Reliability and Packet Loss: Investigate the impact of net...

Anaerobic methane oxidation (AMO) was characterized in sediment cores from the Blake Ridge collected during Ocean Drilling Program (ODP) Leg 164. Three independent lines of evidence support the occurrence and scale of AMO at Sites 994 and 995. First, concentration depth profiles of methane from Hole 995B exhibit a region of upward concavity suggestive of methane consumption. Diagenetic modeling of the concentration profile indicates a 1.85-m-thick zone of AMO centered at 21.22 mbsf, with a peak rate of 12.4 nM/d. Second, subsurface maxima in tracer-based sulfate reduction rates from Holes 994B and 995B were observed at depths that coincide with the model-predicted AMO zone. The subsurface zone of sulfate reduction was 2 m thick and had a depth integrated rate that compared favorably to that of AMO (1.3 vs. 1.1 nmol/cm**2/d, respectively). These features suggest close coupling of AMO and sulfate reduction in the Blake Ridge sediments. Third, measured d13CH4 values are lightest at the point of peak model-predicted methane oxidation and become increasingly 13C-enriched with decreasing sediment depth, consistent with kinetic isotope fractionation during bacterially mediated methane oxidation. The isotopic data predict a somewhat (60 cm) shallower maximum depth of methane oxidation than do the model and sulfate reduction data.

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate In the Euro Area was last recorded at 2.15 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Australia was last recorded at 3.60 percent. This dataset provides - Australia Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Switzerland was last recorded at 0 percent. This dataset provides - Switzerland Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Brazil was last recorded at 15 percent. This dataset provides - Brazil Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Norway was last recorded at 4.25 percent. This dataset provides the latest reported value for - Norway Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The benchmark interest rate in South Korea was last recorded at 2.50 percent. This dataset provides - South Korea Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.