A Baseflow Filter for Hydrologic Models in R Resources in this dataset:Resource Title: A Baseflow Filter for Hydrologic Models in R. File Name: Web Page, url: https://www.ars.usda.gov/research/software/download/?softwareid=383&modecode=20-72-05-00 download page

Data for Training and Evaluating Video Content Safety Classifiers

Context

This dataset is part of the EmotionLib project, an open-source C library designed for real-time media content analysis. The primary goal of EmotionLib is to identify potentially sensitive material (NSFW/Gore) and predict appropriate age ratings (MPAA-like).

This specific dataset was created to train and evaluate the final classification stage implemented within the samp.dll component of EmotionLib. This stage uses a hybrid model (involving pre-calculated features and an LSTM) to make a final decision on video safety and rating based on inputs from earlier processing stages.

Content

The dataset consists of two main parts:

1. mlp-intermediate.csv:

   • This file contains pre-computed features for each video clip.
   • filename: An anonymized identifier for the video clip (e.g., G-101, R-1020, NC-17-118, GORE-1). These filenames are intentionally anonymized and DO NOT correspond to the original video titles. This was done to address ethical concerns, as the dataset contains a significant amount of NSFW (Not Safe For Work) and Gore content derived from various movies and media.
   • predict1 to predict30: These 30 columns represent the intermediate outputs from an ensemble of three Multilayer Perceptrons (MLPs). The architectures of these MLPs were found using Neural Architecture Search (NAS) techniques (inspired by works like F. Minutoli, M. Ciranni). These NAS-MLPs processed various statistical features (mean, std dev, skewness, kurtosis, etc.) extracted from the per-frame analysis performed by filter.dll and positiveness.dll. These 30 features serve as condensed statistical representations of the video content.
   • target: The ground truth label for the safety classification task.
     • 0.0: Represents content deemed "Safe for Work" (derived from original MPAA ratings G, PG, PG-13, R).
     • 1.0: Represents content deemed "Not Safe for Work" or potentially harmful (derived from original MPAA rating NC-17 or explicit Gore classifications).

2. /Data Directory:

   • This directory contains the raw, per-frame analysis outputs from the initial EmotionLib components for each corresponding anonymized filename. These are stored in binary files:
   • .efp files (EmotionLib Filter Predictions):
     • Generated by filter.dll.
     • Binary format: int32 (num_frames), int32 (frame_sec_interval), followed by num_frames records of float32 (Safe prob.), float32 (Explicit prob.), float32 (Gore prob.).
   • .epp files (EmotionLib Positiveness Predictions):
     • Generated by positiveness.dll.
     • Binary format: int32 (num_frames), int32 (frame_sec_interval), followed by num_frames records of float32 (Negative prob.), float32 (Positive prob.).

Anonymization and Ethical Considerations

As mentioned, the filenames in this dataset are anonymized (G-xxx, PG-xxx, R-xxxx, NC-17-xxx, GORE-x, etc.) and do not reflect the original source titles. This is a crucial ethical consideration due to the inclusion of sensitive content (NSFW/Gore) from various media sources. Providing original titles could lead to direct association with potentially disturbing or copyrighted material outside the intended research context of evaluating the EmotionLib filtering system. The focus is on the content patterns recognized by the preliminary filters, not the specific source media itself.

Examples and Dataset Characteristics

The dataset includes a diverse range of content types and presents interesting challenges for classification models.

• MPAA Rating Challenges: When evaluating models trained on this dataset (like the MPAA prediction part of samp.dll, although the primary target here is safety), some misclassifications highlighted the difficulty of the task. For instance, models sometimes struggled with boundary cases (most deviant cases):

  • 'Kickboxer' (1989, typically R) as PG-13 equivalent (filename: R-1010).
  • 'Titanic' (PG-13) as R equivalent (filename: PG-13-404).
  • 'Sonic the Hedgehog' (PG) as PG-13 equivalent (filename: PG-353).
  • 'Way of the Dragon' (1972, often PG but contains significant martial arts violence sometimes pushing it towards R in modern contexts) as PG equivalent (filename: R-1020).

• Video Length: The dataset contains clips of varying durations. The longest video processed corresponds to the anonymized file R-1041, with a duration of approximately 6 hours and 26 minutes. This clip, derived from the anime series 'Fate/Zero', was correctly identified as requiring an R-equivalent rating by the system based on its content. This demonstrates the syste...

lra10/claude-filter dataset hosted on Hugging Face and contributed by the HF Datasets community

Data on vegetated filter strips, sediment loading into and out of riparian corridors/buffers (VFS), removal efficiency of sediment, meta-analysis of removal efficiencies, dimensional analysis of predictor variables, and regression modeling of VFS removal efficiencies. This dataset is associated with the following publication: Ramesh, R., L. Kalin, M. Hantush, and A. Chaudhary. A secondary assessment of sediment trapping effectiveness by vegetated buffers. ECOLOGICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 159: 106094, (2021).

Soluble iron (Fe), the Fe passing through a 0.02 µm Anodisc membrane filter, is reported in nmol Fe per kg of seawater. Samples were collected on the U.S. GEOTRACES North Atlantic Zonal Transect, Leg 2, in 2011.

In comparing this data to other published profiles of soluble Fe, it is valuable to know that soluble Fe is a highly operationally-defined parameter. The two most common methods of collecting soluble Fe samples are via 0.02 µm Anopore membrane filtration (this study) and by cross-flow filtration. An intercalibration between the two methods used to collect soluble Fe samples on the U.S. Atlantic GEOTRACES cruises are described in this excerpt (PDF) from a Fitzsimmons manuscript (in preparation). The intercalibration determined that \"soluble Fe produced by cross-flow filtration (10 kDa membrane) is only ~65-70% of the soluble Fe produced by Anopore filtration.\"

Please note that some US GEOTRACES data may not be final, pending intercalibration results and further analysis. If you are interested in following changes to US GEOTRACES NAT data, there is an RSS feed available via the BCO-DMO US GEOTRACES project page (scroll down and expand the \"Datasets\" section).

The Rosenberg Self-Esteem Scale (RSE) is a 10-item scale that measures global self-worth in adolescents by measuring both positive (5 items) and negative (5 items) feelings about the self. Although originally constructed as a Guttman-type scale (i.e., items with an ordinal pattern on the attribute), most researchers use a 4-point response format ranging from strongly agree to strongly disagree.

The global automotive oil strainer market is booming, driven by stricter emission norms and demand for advanced filtration. Explore market size, growth projections (2025-2033), key players, regional analysis, and emerging trends shaping this $1.5 billion (2025 est.) industry.

The Autism-Spectrum Quotient (AQ-28) is a 28-item questionnaire that assesses self-reported autistic-like traits in adults with normal intelligence. The questionnaire rates symptoms of autism spectrum disorder on a 4-point Likert scale. In Generation R, a validated abbreviated version AQ-28 was used among parents.

672 Global exporters importers export import shipment records of R o filter with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This data set contains the Raw SNP output files for each of the three diadromous species studied within this manuscript. Additionally the covariates file containing all environmental and individual data about all individuals is included. All R code used to filter SNP's to the quality thresholds within this paper is additionally provided

The Coding of Expressed Emotion from the Five Minute Speech Sample is a method to assess the emotional climate in families. The Five Minute Speech Sample is a task in which a family member speaks about a topic of their choice for five minutes while being recorded. The sample is then transcribed and coded for emotional expression using the EE coding system. There are three components: criticism, emotional overinvolvement, and warmth. The speech sample was obtained during a home visit during pregnancy. Generation R used an adapted version of the Expressed Emotion coding. Citation

The global Disposable Microfibre Filter Element market is poised for robust expansion, projected to reach an estimated USD 850 million by 2025, exhibiting a significant Compound Annual Growth Rate (CAGR) of 7.2% through 2033. This growth is primarily fueled by the escalating demand across diverse applications, notably in the food and beverage, pharmaceutical, and chemical industries. The increasing stringency of regulatory standards regarding product purity and safety in these sectors necessitates the use of high-efficiency filtration solutions, making disposable microfibre filter elements an indispensable component. Furthermore, advancements in microfibre manufacturing technologies are leading to the development of filter elements with enhanced filtration capabilities, greater durability, and improved cost-effectiveness, thereby stimulating market adoption. The versatility of these filters, ranging from small-scale laboratory applications to large-scale industrial processes, further underpins their widespread market penetration and sustained growth trajectory. The market is characterized by a dynamic interplay of drivers and restraints. Key growth drivers include the burgeoning need for sterile and contaminant-free products in pharmaceuticals and biopharmaceuticals, coupled with the growing emphasis on food safety and quality assurance. The expanding chemical industry, particularly in specialized applications requiring precise filtration, also contributes significantly to market demand. However, the market faces certain restraints, including the initial cost of some advanced microfibre filter elements and the availability of reusable filtration alternatives in certain less critical applications. Waste disposal concerns associated with disposable products also present a challenge, though ongoing research into biodegradable materials aims to mitigate this. Geographically, Asia Pacific is anticipated to emerge as a leading region, driven by rapid industrialization, increasing healthcare investments, and a growing manufacturing base, while North America and Europe remain substantial and mature markets. This report offers an in-depth analysis of the global disposable microfibre filter element market, a critical component in numerous industrial and laboratory applications. We delve into market dynamics, key trends, regional dominance, and future growth projections. The analysis is grounded in extensive research, including an estimated market size of USD 5.8 billion in 2023, with projections to reach USD 9.2 billion by 2030, exhibiting a robust Compound Annual Growth Rate (CAGR) of 6.9%. Our insights are derived from examining key players like Classic Filters, Porvair Filtration Group, Viking Instrument, Headline Filters, Parker Hannifin Corporation, R+F FilterElements GmbH, KOSMO E&T, Contec GmbH, and Meissner, across diverse segments such as Small Size and Large Size filters, and applications spanning Food, Pharmaceutical, Chemical, and Others.

The humidifying air filter market is experiencing robust growth, driven by increasing awareness of indoor air quality and the health benefits of humidified air. The market, currently valued at approximately $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key factors, including rising prevalence of respiratory illnesses exacerbated by dry air, increasing disposable incomes leading to higher spending on home comfort and health products, and the growing adoption of smart home technologies that integrate humidifying air filters. The market segmentation is likely diverse, encompassing various filter types (HEPA, activated carbon, etc.), humidification technologies (evaporative, ultrasonic), and product applications (residential, commercial). Major players like Holmes, Trane, Essick Air, Oreck, Philips, Big R, and Honeywell are actively shaping the market landscape through product innovation and strategic partnerships. The market's expansion is expected to continue due to a rising demand for energy-efficient humidifiers and the development of advanced filter technologies with enhanced purification capabilities. However, potential restraints include fluctuations in raw material prices and the increasing competition from alternative air purification solutions. Regional variations in market penetration are anticipated, with developed economies exhibiting higher adoption rates initially, followed by growth in emerging markets as awareness and affordability increase. The continued focus on health and wellness, coupled with technological advancements, paints a positive outlook for the humidifying air filter market over the next decade. This comprehensive report provides an in-depth analysis of the global humidifying air filter market, projected to reach a valuation exceeding $2 billion by 2030. It delves into market concentration, key trends, dominant regions, product insights, and the competitive landscape, offering valuable insights for businesses and investors. The report leverages extensive market research and data analysis to forecast future growth and identify lucrative opportunities.

Abstract: This paper proposes an adaptive Kalman filter (AKF) fusion approac

post train nemotron dataset filtered for english only and reasoning on entries

Discover the booming Double Stage Vacuum Oil Filter market! This comprehensive analysis reveals a projected $500M market size in 2025, growing at a 6% CAGR. Explore market drivers, trends, restraints, and key players shaping this lucrative industry. Learn about regional market share and future growth projections.

File List SupplementRcode.txt Description The file SupplementRcode.txt is a plain text file containing R code for the method.

ABSTRACT This paper aims to determine the cost of electricity for rapid filter backwashing procedures at water treatment plants, whose flow rate is 45 L/s. Flow and electricity consumption were monitored in order to analyze the performance of the pumping systems. Additionally, the effluent water quality of three washes was monitored in filter 4 and a survey of the electricity fare data of the treatment unit was carried out. With the results obtained, it was observed that the effluent turbidity values at the end of the three washes, in this case 31, 30, and 27 NTU, did not reach the minimum values recommended in the technical literature, which is at least 15 NTU. It was also observed the impossibility of prolonging the backwashing time in order to reach the standard of the literature, due to the double function of the elevated washing water reservoir (treated water), whose main purpose is to provide treated water to the water distribution network. Taking into account these limitations and the final quality of the wash effluent, it was observed that the duration of backwashing procedures should be around 380 seconds (6.3 minutes), consuming 23.36 m3/wash. The backwashing procedure cost was estimated at R$ 1.36/m3, which resulted in R$ 31.83/wash. Considering the whole filtration unit, the backwashing procedure cost was R$ 254.64/day, R$ 7,639.20/month, and R$ 91,670.4/year. This value can be classified as too expensive considering the treatment plant studied.

Dissolved Pb passing through a 0.2 um Acropak capsule filter. Samples were collected on the US GEOTRACES East Pacific Zonal Transect (EPZT) cruise in 2013.

This dataset contains information about all the features extracted from the raw data files, the formulas that were assigned to some of these features, and the candidate compounds that correspond to those formulas. Data sources, bioactivity, exposure estimates, functional uses, and predicted and observed retention times are available for all candidate compounds. This dataset is associated with the following publication: Newton, S., R. McMahen, J. Sobus, K. Mansouri, A. Williams, A. McEachran, and M. Strynar. Suspect Screening and Non-Targeted Analysis of Drinking Water Using Point-Of-Use Filters. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 234: 297-306, (2018).