All species records from the SBIS Recorder Database

Uncertainty about SBIs–types and sources.

Indonesia Monetary Operation: SBIS: Nominal Accepted: 3 Months data was reported at 1,875.000 IDR bn in 12 Jan 2011. Indonesia Monetary Operation: SBIS: Nominal Accepted: 3 Months data is updated daily, averaging 1,875.000 IDR bn from Jan 2011 (Median) to 12 Jan 2011, with 1 observations. The data reached an all-time high of 1,875.000 IDR bn in 12 Jan 2011 and a record low of 1,875.000 IDR bn in 12 Jan 2011. Indonesia Monetary Operation: SBIS: Nominal Accepted: 3 Months data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAB004: Monetary Operations: Auction: Bank Indonesia Certificate (SBI) and Bank Indonesia Sharia Certificate (SBIS).

Scenarios leading to incidental discovery of SBIs.

Explore the historical Whois records related to sbis.org.br (Domain). Get insights into ownership history and changes over time.

Indonesia Monetary Operation: SBIS: Nominal Bids: 9 Months data was reported at 745.000 IDR bn in 05 Feb 2021. This records an increase from the previous number of 585.000 IDR bn for 08 Jan 2021. Indonesia Monetary Operation: SBIS: Nominal Bids: 9 Months data is updated daily, averaging 540.000 IDR bn from Feb 2011 (Median) to 05 Feb 2021, with 119 observations. The data reached an all-time high of 1,845.000 IDR bn in 19 Jan 2018 and a record low of 5.000 IDR bn in 20 May 2016. Indonesia Monetary Operation: SBIS: Nominal Bids: 9 Months data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAB004: Monetary Operations: Auction: Bank Indonesia Certificate (SBI) and Bank Indonesia Sharia Certificate (SBIS).

Credit report of Sbis contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

In 2024, around 66 percent of customers at SBI Sumishin Net Bank, Ltd. were men. As of March 2023, more than six million customers had opened bank accounts at the bank. SBI Sumishin Net Bank is a Japanese direct bank that was established in 2007.

The Western Arctic Shelf-Basin Interactions (SBI) experiment contains measurements made in the Chukchi and Beaufort seas off the coast of northern Alaska. SBI at the University of Maryland

Explore historical ownership and registration records by performing a reverse Whois lookup for the email address gavin@sbis.ca..

Indonesia Monetary Operation: SBI: Weighted Average Accepted: 6 Months data was reported at 6.100 % in 12 Jan 2011. Indonesia Monetary Operation: SBI: Weighted Average Accepted: 6 Months data is updated daily, averaging 6.100 % from Jan 2011 (Median) to 12 Jan 2011, with 1 observations. The data reached an all-time high of 6.100 % in 12 Jan 2011 and a record low of 6.100 % in 12 Jan 2011. Indonesia Monetary Operation: SBI: Weighted Average Accepted: 6 Months data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAB004: Monetary Operations: Auction: Bank Indonesia Certificate (SBI) and Bank Indonesia Sharia Certificate (SBIS).

IntroductionThe relationship between carotid artery stenosis (CAS) and ipsilateral silent brain ischemia (SBI) remains unclear, with uncertain therapeutic implications. The present study, part of the TAXINOMISIS project (nr. 755,320), aimed to investigate SBIs in patients with asymptomatic CAS, correlating them with clinical, carotid ultrasonographic data, and CFD analyses.MethodsThe TAXINOMISIS clinical trial study (nr. NCT03495830) involved six vascular surgery centers across Europe, enrolling patients with asymptomatic and symptomatic CAS ranging from 50 to 99%. Patients underwent carotid ultrasound and magnetic resonance imaging (MRI), including brain diffusion-weighted, T2-weighted/FLAIR, and T1-weighted sequences. Brain MRI scans were analyzed for the presence of SBI according to established definitions. Ultrasound assessments included Doppler and CFD analysis. Only asymptomatic patients were included in this substudy.ResultsAmong 195 asymptomatic patients, the mean stenosis (NASCET) was 64.1%. Of these, a total of 33 patients (16.9%) had at least one SBI detected on a brain MRI scan. Specifically, 19 out of 33 patients (57.6%) had cortical infarcts, 4 out of 33 patients (12.1%) had ipsilateral lacunar infarcts, 6 out of 33 patients had (18.2%) subcortical infarcts, 1 out of 33 patients (3.0%) had both cortical and lacunar infarcts, and 3 out of 33 patients (9.1%) both cortical and subcortical infarcts. Patients with SBIs exhibited significantly higher risk factors, including a higher body mass index (28.52 ± 9.38 vs. 26.39 ± 3.35, p = 0.02), diastolic blood pressure (80.87 ± 15.73 mmHg vs. 80.06 ± 8.49 mmHg, p = 0.02), creatinine levels (93.66 ± 34.61 μmol/L vs. 84.69 ± 23.67 μmol/L, p = 0.02), and blood triglycerides (1.8 ± 1.06 mmol/L vs. 1.48 ± 0.78 mmol/L, p = 0.03). They also had a higher prevalence of cardiovascular interventions (29.6% vs. 13.8%, p = 0.04), greater usage of third/fourth-line antihypertensive treatment (50%vs16%, p = 0.03), and anticoagulant medications (60% vs. 16%, p = 0.01). Additionally, the number of contralateral cerebral infarcts was higher in patients with SBIs (35.5% vs. 13.4%, p 

This table provides data on the number of jobs of employed persons and number of employees, operating result, operating income and expenses, financial result, balance provisions and extraordinary result of a large number of industries and industries according to the Standard 1993 business classification (SBI'93) of CBS.

The data is derived from more detailed industry-specific tables (see paragraph 3) and make it possible for the branches to be compare it. These are the following industries and industries. 0141 Hoveniers and agricultural services; 10-14 Extraction of minerals; 15-37 Industry (except 3663.1); 3663.1 Social employment services; 40 Production and distribution of electricity, natural gas, steam and hot water; 41 Water extraction and distribution; 45 Construction; 50 Trade in and repair of motor vehicles and motorcycles; petrol service stations; 51 Wholesale and commercial mediation; 52 Retail trade and repair for the benefit of private individuals; 55 Horeca; 60-64 Transport, storage and communication; 71 Rental of means of transport, machinery and equipment without servants and other movable property; 72 Computer service and information technology agencies and the like; 73 Research and development work; 74 Other business services; 90 Environmental services; 93 Other services. For a statement by the SBI see paragraph 2.

Data available from 2006-2008.

Status of the figures: All the figures in the table are final.

Changes as of 1 September 2011: This table does not go beyond results for the reporting year 2008. Compiling the figures for 2009 is compared to changed to two main sections in previous years: — The 2008 SBI has been applied; — The statistical unit has changed. The above changes are so substantial that the results are not similar to those of previous years and therefore started with a new table from 2009 (see paragraph 3).

Changes as of 12 November 2010: Further examination has shown that the figures relating to the 2008 reporting year insufficient for two wholesale publication groups be reliable, namely for: 5186 Wholesale of electric motors, electrical and electronic motors instruments, control cabinets and other installation equipment 5187 Wholesale of other industrial and commercial machinery The figures for these two groups are therefore no longer included in the table.

Changes as of 30 June 2009: For some SBI '93 groups, the 2007 figures are not similar to the 2006 figures. These are the SBIs 2971, 3150, 3230, 33102, 5121, 5132a, 5141a, 5146, 5184a, 522, 5231, 5244 and 5261.

From the reporting year 2007 onwards, the questionnaire has been carried out by companies in some changes have been made to the investigation. Up to and including 2006 became wage (cost) subsidies up to the (other) operating income these subsidies will be deducted from 2007 onwards. on the operating expenses. Because of the changes, the results for the year are 2007 is not quite similar to that for 2006. The effect of the changes in operating income and operating expenses are for most branches small.

In 2024, around ** percent of customers at SBI Sumishin Net Bank, Ltd. were between 40 and 49 years old. The age group of ** to 39-year-olds accounted for ** percent of the direct bank's customers.

Indonesia Monetary Operation: SBIS: Nominal Accepted: 6 Months data was reported at 615.000 IDR bn in 05 Mar 2021. This records an increase from the previous number of 555.000 IDR bn for 05 Feb 2021. Indonesia Monetary Operation: SBIS: Nominal Accepted: 6 Months data is updated daily, averaging 640.000 IDR bn from Jan 2019 (Median) to 05 Mar 2021, with 14 observations. The data reached an all-time high of 2,430.000 IDR bn in 08 Feb 2019 and a record low of 210.000 IDR bn in 09 May 2019. Indonesia Monetary Operation: SBIS: Nominal Accepted: 6 Months data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAB004: Monetary Operations: Auction: Bank Indonesia Certificate (SBI) and Bank Indonesia Sharia Certificate (SBIS).

This table provides information on the quarterly development of turnover in the Wholesale and brokerage sector. The results are expressed in indices based on the year 2005, in development percentages and in cumulative development percentages. The data can be broken down by sector. The SBIs 511 (Trade Brokerage) and 519 (Other specialized wholesalers and wholesalers with a general range) are not included separately in the table. This is due to the lack of (reliable) figures. The development of SBI 51 (Wholesale and Commercial Mediation) does include SBIs 511 and 519. Data available from: 2003 - 2008 Status of the figures: All figures are final. Changes as of October 1, 2009: A number of index figures have been corrected due to additional information and retyping of companies. This concerns the branches: - Wholesale and commercial intermediation (sbi 51) for the first and third quarters of 2007 and the first to fourth quarters of 2008; - Wholesale of agricultural products and live animals (sbi 512) for the first and third quarters of 2007 and the first through fourth quarters of 2008; - Wholesale of food, beverages and tobacco (sbi 513) for the second and third quarters of 2007 and the first through fourth quarters of 2008; - Wholesale of other consumer goods (sbi 514) for the third and fourth quarters of 2008; - Wholesale of intermediate goods (non-agricultural), waste and scrap (sbi 515) for the first through the fourth quarter of 2008; - Wholesale of machines, equipment and accessories (sbi 518) for the second and fourth quarter of 2008. As a result, the associated (cumulative) sales developments have been adjusted. Especially for sbi 515 this has led to an adjustment, in a downward direction. This table was discontinued at the end of 2008. The statistical research that forms the basis of the results in this table has undergone an important change with effect from January 2009. Statistics Netherlands' Standard Industrial Classification (SBI) has been drastically revised. As a result, the figures from 2009 are no longer comparable with previous years. Statistics Netherlands has therefore published a new table. For more information, see sections 3 and 4.

SBI-16-3D Dataset

SBI-16-3D is a dataset which is part of the AstroCompress project. It contains data assembled from the James Webb Space Telescope (JWST). Describe data format

  Usage

You first need to install the datasets and astropy packages: pip install datasets astropy

There are two datasets: tiny and full, each with train and test splits. The tiny dataset has 2 4D images in the train and 1 in the test. The full dataset contains all the images in the data/… See the full description on the dataset page: https://huggingface.co/datasets/AnonAstroData/SBI-16-3D.

This table provides data on the employment offered, the cost and revenue structure, operating and financial results for a large number of industries and branches according to the CBS Standard Business Classification 2008 (SBI 2008).

Data available from: 0909 to 2013.

Status of the figures: All the figures in the table are final.

Changes as of 26 April 2016: None, this table has been discontinued.

When are new figures coming? Figures from 2014 will be published in the table 'Business life; labour and financial data, by industry, SBI 2008’. See paragraph 3.

UPDATED NOVEMBER 2024 Greater Manchester Ecology Unit (GMEU) operates the SBI register for, and on behalf of, the ten Local Authorities that comprise Greater Manchester. This dataset contains all current SBI boundaries (based upon the 2021 review), including the name of each site and its defining features. SBIs are Greater Manchester's equivalent to Local Wildlife Sites (LWS).

SBIs are non-statutory areas of substantive nature conservation importance within the county of Greater Manchester. The SBI system is designed to establish and highlight to planners, landowners and site managers where areas of high biodiversity interest occur so that appropriate decisions on planning applications, land use and land management can be made.

Full SBI citations including site descriptions, statistics and grading information can be obtained from GMLRC if required.

The field phase of the Shelf-Basin Interactions Experiment (SBI) began in 2002 with a series of three cruises to the Chukchi and Beaufort Seas. SBI is a multi-institutional program investigating how the western Arctic shelves communicate with the interior of the Canada Basin, from a coupled physical/biochemical perspective. The physical oceanographic (PO) component of SBI was carried out on the Coast Guard icebreaker Polar Star, from mid-July to mid-August. The primary aim of the PO component is to identify and understand the water masses and mechanisms by which shelf waters ventilate the western Arctic halocline. The major goals of the 2002 Arctic West Summer cruise (AWS02) were to (1) deploy a system of moorings that will measure the outflow from the Chukchi shelf (the UW/UAF component); (2) deploy a high-resolution moored array across the Beaufort slope, downstream of the outflows, to determine how these waters are fluxed into the interior (the WHOI component); and (3) conduct a hydrographic survey encompassing locations along the Chukchi and Beaufort shelf edge. The cruise was a resounding success on all accounts.