Filter is a configurable app template that displays a map with an interactive filtered view of one or more feature layers. The application displays prompts and hints for attribute filter values which are used to locate specific features.Use CasesFilter displays an interactive dialog box for exploring the distribution of a single attribute or the relationship between different attributes. This is a good choice when you want to understand the distribution of different types of features within a layer, or create an experience where you can gain deeper insight into how the interaction of different variables affect the resulting map content.Configurable OptionsFilter can present a web map and be configured with the following options:Choose the web map used in the application.Provide a title and color theme. The default title is the web map name.Configure the ability for feature and location search.Define the filter experince and provide text to encourage user exploration of data by displaying additional values to choose as the filter text.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsRequires at least one layer with an interactive filter. See Apply Filters help topic for more details.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.

Esri's ArcGIS Online tools provide three methods of filtering larger datasets using attribute or geospatial information that are a part of each individual dataset. These instructions provide a basic overview of the step a GeoHub end user can take to filter out unnecessary data or to specifically hone in a particular location to find data related to this location and download the specific information filtered through the search bar, as seen on the map or using the attribute filters in the Data tab.

Since these microarrays contained duplicated spots, the parentheses represent the number of unique spots or profiles in the dataset.

Filterings on top of near-dedup + line filtering:

Comments filtering (at least 1% of the number of lines should be comments/docstrings) Stars filtering (minimum of 5 stars) (on top of near-dedup + line filtering)

Language Before filtering Stars Comments ratio More near-dedup Tokenizer fertility

Python 75.61 GB 26.56 GB 65.64 GB 61.97 GB 72.52 GB

Java 110 GB 35.83 GB 92.7 GB 88.42 GB 105.47 GB

Javascript 82.7 GB 20.76 GB 57.5 GB 65.09 GB 76.37 GB

Contains scans of a bin filled with different parts ( screws, nuts, rods, spheres, sprockets). For each part type, RGB image and organized 3D point cloud obtained with structured light sensor are provided. In addition, unorganized 3D point cloud representing an empty bin and a small Matlab script to read the files is also provided. 3D data contain a lot of outliers and the data were used to demonstrate a new filtering technique.

We curate a large corpus of legal and administrative data. The utility of this data is twofold: (1) to aggregate legal and administrative data sources that demonstrate different norms and legal standards for data filtering; (2) to collect a dataset that can be used in the future for pretraining legal-domain language models, a key direction in access-to-justice initiatives.

Russia Avg Consumer Price: Tobacco: Cigarettes: Foreign Brands: with Filter data was reported at 131.420 RUB/Pack in Jan 2019. This records an increase from the previous number of 130.140 RUB/Pack for Dec 2018. Russia Avg Consumer Price: Tobacco: Cigarettes: Foreign Brands: with Filter data is updated monthly, averaging 27.510 RUB/Pack from Jan 1995 (Median) to Jan 2019, with 289 observations. The data reached an all-time high of 131.420 RUB/Pack in Jan 2019 and a record low of 1.390 RUB/Pack in Jan 1995. Russia Avg Consumer Price: Tobacco: Cigarettes: Foreign Brands: with Filter data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PA007: Average Consumer Price: Tobacco.

Overview of respondents’ profile after data filtering (M = mean, SD = standard deviation, relative frequencies, n = number of respondents).

Check out our data lens page for additional data filtering and sorting options: https://data.cityofnewyork.us/view/i4p3-pe6a

This dataset contains Open Parking and Camera Violations issued by the City of New York. Updates will be applied to this data set on the following schedule:

New or open tickets will be updated weekly (Sunday). Tickets satisfied will be updated daily (Tuesday through Sunday). NOTE: Summonses that have been written-off are indicated by blank financials.

Summons images will not be available during scheduled downtime on Sunday - Monday from 1:00 am to 2:30 am and on Sundays from 5:00 am to 10:00 am.

• Initial dataset loaded 05/14/2016.

Dataset

This dataset was created by TW PROJECT

Contents

Sequencing results from filtering raw sequence data from environmental DNA metabarcoding samples of River Thames fish communities.

Samples were collected from two sites during 2019 over 12 months from the Thames Basin, London, U.K., sampling a minimum of every week. Site 1. River Lee (freshwater) and site 2. Richmond Lock, Thames River (tidal). Samples were amplified with the primer set MiFish-U.

The file is an Excel workbook of the sequencing results from filtering the raw sequence data (file "Temporal_eDNA_GC-EC-9225.tar.gz") through the pipeline DADA2: providing ASV IDs, sample and ASV table with readcounts, and fish names.

For further information on filtering settings see the published paper.

Hallam J, Clare EL, Jones JI, Day JJ. (2023) Fine-scale environmental DNA metabarcoding provides rapid and effective monitoring of fish community dynamics. Environmental DNA. DOI:10.1002/edn3.486

Number of Animals After Data Filtering.

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.

📖 Overview

DataCurBench is a dual-task benchmark suite measuring large language models’ ability to autonomously perform data filtering (selecting high-quality samples) and data cleaning (enhancing linguistic form) for pre-training corpora. It comprises two configurations—data_filtering and data_cleaning—each with English (en) and Chinese (zh) splits. This design helps researchers evaluate LLMs on real-world curation pipelines and pinpoint areas for improvement in end-to-end data… See the full description on the dataset page: https://huggingface.co/datasets/anonymousaiauthor/DataCurBench.

R was used for the pipeline. All R code is provided for the creation of simulated datasets and filtering of those datasets.

We've also provide .012 data input files (.txt) with their env files (.env) and the outputs of baypass (.csv) and lfmm (calpval).

The name of the outputs look like this: emsim_156_6_0.5_0.1.txt.lfmm_env_2.calpval This naming convention is the same throughout.

emsim = name of the datastet E. microcarpa simulation

156 = # of individuals i.e., sample size

6 = number of individuals per population

0.5 = the missing data threshold (note, for coding purposes this is actually the % of data kept : 10% missing data will be 0.9) (one of 0.5, 0.6, 0.7 0.8, or 0.9)

0.1 = minor allele frequency (one of 0.1, 0.05, or 0.01)

Associated SNPs

V#####MT - SNPs associated with BIO5

V#####MP - SNPs associated with BIO14

Check out our data lens page for additional data filtering and sorting options: https://data.cityofnewyork.us/view/i4p3-pe6a

This dataset contains Open Parking and Camera Violations issued by the City of New York. Updates will be applied to this data set on the following schedule:

New or open tickets will be updated weekly (Sunday). Tickets satisfied will be updated daily (Tuesday through Sunday). NOTE: Summonses that have been written-off are indicated by blank financials.

Summons images will not be available during scheduled downtime on Sunday - Monday from 1:00 am to 2:30 am and on Sundays from 5:00 am to 10:00 am.

• Initial dataset loaded 05/14/2016.

1935 Global export shipment records of Filtering with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The Kalman filter is useful to estimate dynamic models via maximum likelihood. To do this the model must be set up in state space form. This article shows how various models of interest can be set up in that form. Models considered are Auto Regressive-Moving Average (ARMA) models with measurement error and dynamic factor models. The filter is used to estimate models of presidential approval. A test of rational expectations in approval shows the hypothesis not to hold. The filter is also used to deal with missing approval data and to study whether interpolation of missing data is an adequate technique. Finally, a dynamic factor analysis of government entrepreneurial activity is performed. Appendices go through the mathematical details of the filter and show how to implement it in the computer l anguage GAUSS.

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Radio Frequency Filters Market Size 2025-2029

The radio frequency filters market size is forecast to increase by USD 16.55 billion, at a CAGR of 16.8% between 2024 and 2029.

The market is driven by the high proliferation of mobile computing devices and the increasing deployment of fifth-generation (5G) technology. The widespread use of mobile devices has led to a significant increase in demand for radio frequency filters to ensure optimal signal quality and reduce interference. Similarly, the rollout of 5G networks necessitates the adoption of advanced filtering solutions to support higher frequencies and data transfer rates. Apart from this, the proliferation of mobile computing devices and the cyclical nature of the semiconductor industry is fueling the exansion. However, the market faces challenges due to the cyclical nature of the semiconductor industry. The industry's inherent volatility can lead to fluctuations in demand and pricing for radio frequency filters.
Additionally, the intense competition and rapid technological advancements can put pressure on companies to innovate and differentiate their offerings to stay competitive. Companies seeking to capitalize on market opportunities and navigate challenges effectively should focus on developing advanced filtering solutions tailored to the specific requirements of mobile devices and 5G networks while maintaining a flexible and responsive business strategy to address industry volatility. The market is also witnessing trends in millimeter wave and Extremely High-Frequency applications, including space-based Wi-Fi and SATCOM applications in the aerospace and defense sector.

What will be the Size of the Radio Frequency Filters Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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Radio frequency filters are essential components in various electronic applications, including wireless devices and electronic circuits, and are used to ensure efficient signal transmission and reception. Filter production is a significant market trend, driven by the increasing demand for advanced RF systems in telecommunications, defense, and satellite communications. Filter reuse and recycling are gaining traction due to the environmental impact of filter disposal. Filter analysis software, filter modeling tools, and filter synthesis techniques facilitate efficient filter design and optimization. Impedance matching and antenna matching are essential aspects of RF system integration. 
Filter validation testing, filter reliability testing, and filter assembly ensure the quality of filter components. Filter measurement instruments and filter characterization software enable precise filter testing and evaluation. Filter disassembly and filter supply chain optimization are key considerations for filter manufacturers and users. Signal conditioning is another critical application area for filters, particularly in industrial automation and medical equipment. Besides, these filters are crucial in ensuring reliable communication by selectively allowing desired signals and blocking unwanted radio frequencies.

How is this Radio Frequency Filters Industry segmented?

The radio frequency filters industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Cellular devices
  GPS devices
  Tablets
  Others


Technology

  SAW
  BAW


Frequency Range

  1-6 GHz
  Sub-1 GHz
  Above 6 GHz


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    Australia
    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Application Insights

The cellular devices segment is estimated to witness significant growth during the forecast period. The market is experiencing significant growth due to the increasing demand for advanced filter technologies in various industries, including telecommunications and consumer electronics. Crystal filters, cavity filters, and ceramic filters are commonly used for filtering applications, each offering unique advantages in terms of size, weight, and frequency response. Filter manufacturers are investing heavily in research and development to improve filter performance, with a focus on reducing passband ripple, increasing stopband rejection, and enhancing filter reliability. Filter simulation software is essential for designing and optimizing filter specifications, allowing for precise control over pole frequency, passband width, and return loss.

Electromagnetic interference (EMI) is a significant challenge in many applications, leading to the development of high-performance filters for harmonic suppre

United States Imports from Peru of Centrifuges; Filtering or Purifying Machinery was US$230.83 Thousand during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from Peru of Centrifuges; Filtering or Purifying Machinery - data, historical chart and statistics - was last updated on November of 2025.