This paper first presents the background information for UISIS-PNP model by discussing different types of boilers installed throughout the pulp and paper sector, the air emissions from these boilers, and the menu of air pollution control technologies applicable to the boilers. The paper then presents examples of air pollution reduction strategies, followed by an analysis of the benefits of emission reduction strategies. These examples are given to illustrate modeling capabilities of the UISIS-PNP model and should not be construed as actual emission reduction strategy considerations by EPA. This dataset is associated with the following publication: Bhander , G., and W. Jozewicz. Analysis of Emissions Reduction Strategies for Power Boilers in the U.S. Pulp and Paper Industry.. Energy and Emission Control Technologies. Dove Medical Press, AUCKLAND, NEW ZEALAND, 2017(5): 27-37, (2017).

Descriptive statistics (e.g., mean, median, standard deviation, percentile) of each variable extracted from Principal Component Analysis for each exercise cluster in elite professional female futsal players.

This repository contains genotype likelihood estimations derived from open-access whole-genome re-sequencing datasets of the scimitar-horned oryx (SO). The dataset was downsampled to exhibit varying coverage levels, including 6x, 2x, and 0.5x. Genotype likelihoods were estimated, followed by the calculation of principal components and subsequent application of UMAP and t-SNE with varying parameter settings, as detailed in Uzel et al. (2025). All intermediate and input files generated from these datasets are available here. Genotype likelihood estimations are provided in the formats '.beagle.gz' and '.mafs.gz'. Additionally, the repository contains the input covariance matrix ('.cov') for each dataset and the population information file for each group, which were employed in the non-linear dimensionality reduction steps described in Uzel et al. (2025). Raw data resources All raw sequencing data we used in this study were downloaded from public databases, and no new data were generated. The scimitar-horned oryx data were acquired from NCBI BioProject PRJEB37295 (Humble et al. 2023) Code/Software All bioinformatic codes used for generating the results and guidelines presented in Çilingir et al. (2024) are available at https://github.com/fgcilingir/lcUMAPtSNE. Literature Cited Humble, E., Stoffel, M. A., Dicks, K., Ball, A. D., Gooley, R. M., Chuven, J., Pusey, R., Remeithi, M. A., Koepfli, K.-P., Pukazhenthi, B., Senn, H., & Ogden, R. (2023). Conservation management strategy impacts inbreeding and mutation load in scimitar-horned oryx. Proceedings of the National Academy of Sciences of the United States of America, 120(18), e2210756120.Uzel, K., Grossen, C., Çilingir, F.G. (2025) lcUMAPtSNE: Use of non-linear dimensionality reduction techniques with genotype likelihoods. bioRxiv, https://doi.org/10.1101/2024.04.01.587545.

Contains the entire dataset used in the NCST report

Information of data sets and reduced data by data reduction techniques BC and SNR.

Collective variables (CVs) describing slow degrees of freedom (DOFs) in biomolecular assemblies are crucial for analyzing molecular dynamics trajectories, creating Markov models and performing CV-based enhanced sampling simulations. While time-lagged independent component analysis (tICA) and its nonlinear successor, time-lagged autoencoder (tAE), are widely used, they often struggle to capture protein dynamics due to interference from random fluctuations along fast DOFs. To address this issue, we propose a novel approach integrating discrete wavelet transform (DWT) with dimensionality reduction techniques. DWT effectively separates fast and slow motion in protein simulation trajectories by decoupling high- and low-frequency signals. Based on the trajectory after filtering out high-frequency signals, which corresponds to fast motion, tICA and tAE can accurately extract CVs representing slow DOFs, providing reliable insights into protein dynamics. Our method demonstrates superior performance in identifying CVs that distinguish metastable states compared to standard tICA and tAE, as validated through analyses of conformational changes of alanine dipeptide and tripeptide and folding of CLN025. Moreover, we show that DWT can be used to improve the performance of a variety of CV-finding algorithms by combining it with Deep-tICA, a cutting-edge CV-finding algorithm, to extract CVs for enhanced-sampling calculations. Given its negligible computational cost and remarkable ability to screen fast motion, we propose DWT as a “free lunch” for CV extraction, applicable to a wide range of CV-finding algorithms.

No description was included in this Dataset collected from the OSF

Detailed information on the datasets that are used for clustering.

In cooperative breeders, sexually mature subordinates can either queue for chances to inherit the breeding position in their natal group, or disperse to reproduce independently. The choice of one or the other option may be flexible, as when individuals respond to attractive dispersal options, or they may reflect fixed life-history trajectories. Here, we show in a permanently marked, natural population of the cooperatively breeding cichlid fish Neolamprologus pulcher that subordinate helpers reduce investment in territory defence shortly before dispersing. Such reduction of effort is not shown by subordinates who stay and inherit the breeding position. This difference suggests that subordinates ready to leave reduce their investment in the natal territory strategically in favour of future life-history perspectives. It seems to be part of a conditional choice of the dispersal tactic, as this reduction in effort appears only shortly before dispersal, whereas philopatric and dispersing helpers do not differ in defence effort earlier in life. Hence, cooperative territory defence is state-dependent and plastic rather than a consistent part of a fixed life-history trajectory.,Long term data from 2009ID= individual, Disperser: 0=heir 1=disperser, agg_gm= frequency of agression against group members, agg_ngm= frequency of agression against non-group members, sub_gm= frequency of submission, pred_def= frequency of defence against predators, dig_tot= frequency of territory maintenance; each line represents a case2009data_forpub_final.txt2010 data.Short term behavioural changes. ID= Individaul identifier, observer_cap= person who captured individual, before= timing of the observation (before or after takeover), disperser: 0=heir, 1=disperser, pred_def_foc= Frequency of territory defence, sub_grp_mem= Frequency of sumbission, tot_dig=frequency of territory maintenence, log_tot_dig= natural log of "tot_dig", agg_strangers= frequency of territory defence against non group members2010data_forpub_final.txt,

The data of the Manuscript “Self-carbon-thermal-reduction strategy for boosting the Fenton-like activity of single Fe-N4 sites by carbon-defect engineering”.

Detailed information on the datasets for classification.

Emission reduction in percentage by using operational strategies in comparison with the FRO strategy (base case), for different θ values.

Dataset was built by applying an enhanced semantic-based feature selection method over to publicly available datasets: SpamAssassin (SA.zip) and Youtube Comments (YT.zip).

This package contains the data behind Delivering London's Energy Future, the Mayor's climate change mitigation and energy strategy, which was published in 2011.

Over a number of tabs, the spreadsheet shows how the Mayor's target to reduce London's CO2 emissions by 60% on 1990 levels by 2025 can be met by a combination of Government actions and mayoral programmes.

(All items measured on 4-point scales, where 1  =  strongly oppose & 4  =  strongly support; p<.001 for all differences).

The goal of this research was to present a decision-making framework for greenhouse gas (GHG) mitigation strategy selection for local governments based on the development of life cycle GHG mitigation "supply curves". This approach offers the ability to combine the impacts and cost-effectiveness measurements of numerous GHG mitigation options at the same time. Life cycle GHG emissions accounting considers emissions generated throughout the supply chain of a product or process, and also typically considers system-wide or consequential effects on emissions as well. Life cycle cost analysis (LCCA) and life cycle assessment (LCA) were the two methods used to quanitfy the costs and environmental impacts of the strategies, respectively. Los Angeles (LA) County and Yolo County were selected and the following actions for inclusion in GHG mitigation supply curves for each county were selected:

1. Los Angeles County chose to move forward with quantification of two strategies;

a. Transit bus electrification, which is being undertaken by Foothill Transit, a transit agency that serves not just the unincorporated regions of LA County, but also incorporated regions, and

b. Implementation of alternative fuel vehicles for LA County fleet

2. Yolo County chose to move forward with quantification of six strategies;

a. Emissions reductions from electricity as a result of switching from PG&E to a community choice aggregation (CCA) entity, Valley Clean Energy (VCE).

b. Bike lanes connecting other cities in Yolo County to Davis for employees not living in Davis.

c. Changes to start and stop, roundabouts, and speed limits in Yolo County affecting vehicle fuel economy.

d. Solar panel canopies installed for electricity generation for electric vehicle charging and lighting on county parking lots.

e. Full depth reclamation versus conventional pavement rehabilitation methods.

This document summarizes the data for each strategy.

Code for the main figure 4 and data presented in the manuscript "Oxidative Potential of Atmospheric Particles in Europe: exposure scenarios and reduction strategies" (revised version of the former manuscript "Comprehensive observations Reveal High Variability in Oxidative Potential of Atmospheric Particles, prompting Shifts in European Reduction Strategies") submitted to Nature on 17rd March 25. See the manuscript for full details of authors and data contributors.

Please consider the latest version (v4).

Domestic hot water (DHW) is the second-largest energy end use in U.S. buildings; it is exceeded only by space conditioning. In this study, the U.S. Department of Energy's Building America research team Advanced Research Integrated Energy Solutions installed and tested two types of recirculation controls in a pair of buildings to evaluate their energy savings potential. Demand control, temperature modulation (TM) controls, and their simultaneous operation were compared to the baseline case of constant recirculation.

This dataset is about books and is filtered where the book is A review of current research on road surface noise reduction techniques, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).