Prices of energy activated to maintain a balance in Elia’s control area, as well as the strategic reserve activated to ensure adequacy in the Elia control area. The cumulative prices per minute are indicated for every product category (if the product was actually used). Only regulation-related measures requested by Elia with a view to offsetting imbalances in the control area are included.At the specified time, the most recent available data are collected and displayed as quickly as technically possible. All published values are non-validated values and can therefore only be used for information purposes. Contains the historical data and is refreshed daily.This dataset contains data until 21/05/2024 (before MARI local go-live).

Graph and download economic data for Trade Balance: Goods, Balance of Payments Basis (BOPGTB) from Jan 1992 to Apr 2025 about BOP, balance, trade, goods, and USA.

The FDIC is often appointed as receiver for failed banks. This page contains useful information for the customers and vendors of these banks. This includes information on the acquiring bank (if applicable), how your accounts and loans are affected, and how vendors can file claims against the receivership.

Brazil Energy: Balance: Flow: Adjust: Gain-Loss data was reported at -25,866.020 TOE th in 2022. This records a decrease from the previous number of -24,322.924 TOE th for 2021. Brazil Energy: Balance: Flow: Adjust: Gain-Loss data is updated yearly, averaging -3,825.858 TOE th from Dec 1970 (Median) to 2022, with 53 observations. The data reached an all-time high of 629.604 TOE th in 1994 and a record low of -25,866.020 TOE th in 2022. Brazil Energy: Balance: Flow: Adjust: Gain-Loss data remains active status in CEIC and is reported by Ministry of Mining and Energy. The data is categorized under Global Database’s Brazil – Table BR.RBA009: Energy Statistics: Balance.

488 Global import shipment records of Balancing Machines with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Individualdecremental energy bid volumes and corresponding prices for automatic Frequency Restoration Reserve (aFRR) and manual Frequency Restoration Reserve (mFRR) - submitted by Balance responsible Parties (BRPs) and Balance Service Providers (BSPs), taking into account the known technical and contractual constraints. This publication only contains data for the current day, and for day+1 when available. It is refreshed every hour.This dataset contains data from 22/05/2024 (MARI local go-live) on.

This dataset contains water balance data for each year when soybean [Glycine max (L.) Merr.] was grown at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). Soybean [Glycine max (L.) Merr.] was grown on two large, precision weighing lysimeters, each in the center of a 4.44 ha square field in 1995, 2003, 2004 and 2010. Soybean was grown on four large, precision weighing lysimeters and their surrounding 4.4-ha fields in 2019. Irrigation in 1995, 2003, 2004, and 2010 was by linear move sprinkler system. Irrigation in 2019 was by subsurface drip irrigation (SDI) system on the northeast (NE) and southeast (SE) weighing lysimeters an fields, while irrigation was by linear move sprinkler system on the northwest (NW) and southwest (SW) lysimeters and fields. Full irrigations were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. Deficit irrigations were less than full - see crop calendars and irrigation data in these files for details. The weighing lysimeters were used to measure relative soil water storage to 0.05 mm accuracy at 5-minute intervals, and the 5-minute change in soil water storage was used along with precipitation and irrigation amounts to calculate crop evapotranspiration (ET), which is reported at 15-minute intervals. Because the large (3 m by 3 m surface area) weighing lysimeters are better rain gages than are tipping bucket gages, the 15-minute precipitation data are derived for each lysimeter from changes in lysimeter mass. The land slope is <0.3% and flat. The water balance data consist of 15-minute and daily amounts of evapotranspiration (ET), dew/frost fall, precipitation (rain/snow), irrigation, scale counterweight adjustment, and emptying of drainage tanks, all in mm. The values are the result of a rigorous quality control process involving algorithms for detecting dew/frost accumulations, and precipitation (rain and snow). Changes in lysimeter mass due to emptying of drainage tanks, counterweight adjustment, maintenance activity, and harvest are accounted for such that ET values are minimally affected. The ET data should be considered to be the best values offered in these datasets. Even though ET data are also presented in the "lysimeter" datasets, the values herein are the result of a more rigorous quality control process. Dew and frost accumulation varies from year to year and seasonally within a year, and it is affected by lysimeter surface condition [bare soil, tillage condition, residue amount and orientation (flat or standing), etc.]. Particularly during winter and depending on humidity and cloud cover, dew and frost accumulation sometimes accounts for an appreciable percentage of total daily ET. These datasets originate from research aimed at determining crop water use (ET), crop coefficients for use in ET-based irrigation scheduling based on a reference ET, crop growth, yield, harvest index, and crop water productivity as affected by irrigation method, timing, amount (full or some degree of deficit), agronomic practices, cultivar, and weather. Prior publications have focused on crop ET, crop coefficients, and crop water productivity. Crop coefficients have been used by ET networks. The data have utility for testing simulation models of crop ET, growth, and yield. See the README for descriptions of each data file. Resources in this dataset:Resource Title: 1995 Bushland, TX, West Soybean Evapotranspiration, Irrigation, and Water Balance Data. File Name: 1995_W_Soybean_water_balance.xlsxResource Title: 2003 Bushland, TX, East Soybean Evapotranspiration, Irrigation, and Water Balance Data. File Name: 2003_E_Soybean_water_balance.xlsxResource Title: 2004 Bushland, TX, East Soybean Evapotranspiration, Irrigation, and Water Balance Data. File Name: 2004_E_Soybean_water_balance.xlsxResource Title: 2010 Bushland, TX, West Soybean Evapotranspiration, Irrigation, and Water Balance Data. File Name: 2010_W_Soybean_water_balance.xlsxResource Title: 2019 Bushland, TX, East Soybean Evapotranspiration, Irrigation, and Water Balance Data. File Name: 2019_E_Soybean_water_balance.xlsxResource Title: 2019 Bushland, TX, West Soybean Evapotranspiration, Irrigation, and Water Balance Data. File Name: 2019_W_Soybean_water_balance.xlsxResource Title: README. File Name: README_Soybean_Water_Balance.txt

401 Global import shipment records of Balancing Valve with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This dataset provides information about the number of properties, residents, and average property values for Balancing Rock Road cross streets in Canton, MA.

Direct species interactions are commonly included in individual fitness models used for coexistence and local-diversity modeling. Though widely considered important for such models, direct interactions alone are often insufficient for accurately predicting fitness, coexistence or diversity outcomes. Incorporating higher-order interactions (HOIs) can lead to more accurate individual fitness models, but also adds many model terms, which can quickly result in model over-fitting. We explore approaches for balancing the trade-off between tractability and model accuracy that occurs when HOIs are added to individual fitness models. To do this, we compare models parameterized with data from annual plant communities in Australia and Spain, varying in the extent of information included about the focal and neighbor species. The best performing models for both datasets were those that grouped neighbors based on origin status and life form, a grouping approach that reduced the number of model parameters substantially while retaining important ecological information about direct interactions and HOIs. Results suggest that specific focal- or neighbor-species identity is not necessary for building well-performing fitness models that include HOIs. In fact, grouping neighbors by even basic functional information seems sufficient to maximize model accuracy, an important outcome for the practical use of HOI-inclusive fitness models.

Improve the quality of life of all South Australians through maintenance of a healthy work-life balance.

Current account balance (BoP, current US$) in Burkina Faso was reported at --1017189769 USD in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Burkina Faso - Current account balance (BoP, current US$) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

United States BOP: Current Account: Balance data was reported at -295.874 USD bn in Dec 2024. This records an increase from the previous number of -334.444 USD bn for Sep 2024. United States BOP: Current Account: Balance data is updated quarterly, averaging -29.574 USD bn from Mar 1960 (Median) to Dec 2024, with 260 observations. The data reached an all-time high of 17.741 USD bn in Mar 1991 and a record low of -334.444 USD bn in Sep 2024. United States BOP: Current Account: Balance data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.JB001: BPM6: Balance of Payments.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

China Coke: Balance data was reported at -5.721 Ton mn in 2022. This records a decrease from the previous number of -5.160 Ton mn for 2021. China Coke: Balance data is updated yearly, averaging 0.123 Ton mn from Dec 1980 (Median) to 2022, with 35 observations. The data reached an all-time high of 14.818 Ton mn in 1995 and a record low of -9.984 Ton mn in 2020. China Coke: Balance data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Energy Sector – Table CN.RBC: Coke Balance Sheet.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Assets: BS: NIFB: Financial: DS: Treasury Securities data was reported at 77.432 USD bn in Sep 2018. This records an increase from the previous number of 76.506 USD bn for Jun 2018. Assets: BS: NIFB: Financial: DS: Treasury Securities data is updated quarterly, averaging 5.971 USD bn from Dec 1951 (Median) to Sep 2018, with 268 observations. The data reached an all-time high of 77.432 USD bn in Sep 2018 and a record low of 0.000 USD bn in Jun 1967. Assets: BS: NIFB: Financial: DS: Treasury Securities data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.AB072: Balance Sheet: Nonfinancial Noncorporate Business Incl Farm.

Trade Balance: Petroleum data was reported at 330.169 USD mn in Oct 2018. This records a decrease from the previous number of 414.085 USD mn for Sep 2018. Trade Balance: Petroleum data is updated monthly, averaging 242.819 USD mn from Jan 1993 (Median) to Oct 2018, with 310 observations. The data reached an all-time high of 1.189 USD bn in May 2008 and a record low of 37.000 USD mn in Feb 1999. Trade Balance: Petroleum data remains active status in CEIC and is reported by Central Bank of Ecuador. The data is categorized under Global Database’s Ecuador – Table EC.JA001: Trade Balance.

Assets: BS: NIFB: Financial: DS: Municipal Securities data was reported at 5.441 USD bn in Sep 2018. This records an increase from the previous number of 5.376 USD bn for Jun 2018. Assets: BS: NIFB: Financial: DS: Municipal Securities data is updated quarterly, averaging 0.000 USD bn from Dec 1951 (Median) to Sep 2018, with 268 observations. The data reached an all-time high of 6.083 USD bn in Dec 2012 and a record low of 0.000 USD bn in Sep 1993. Assets: BS: NIFB: Financial: DS: Municipal Securities data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.AB072: Balance Sheet: Nonfinancial Noncorporate Business Incl Farm.