cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3w6yb4d844.1
title: Fabrication of Hierarchically Structured Supercapacitor Using N and S Co-doped Activated Carbons Derived from Samanea saman Biomass

description: The high resolution figures of the original data incorporated in the manuscript entitled "Fabrication of Hierarchically Structured Supercapacitor Using N and S Co-doped Activated Carbons Derived from Samanea saman Biomass" published in "Energy Storage" can be found here.

Title: Fabrication of Hierarchically Structured Supercapacitor Using N and S Co-doped Activated Carbons Derived from Samanea saman Biomass
Abstract:
Biomass-derived activated carbons have emerged as highly promising electrode materials for electrochemical supercapacitors due to their remarkable characteristics, such as high surface area, cost-effectiveness, and environmental sustainability. This study focuses on the synthesis of N and S co-doped activated carbons (NSACs) from Samanea saman (rain tree) biomass through a combined hydrothermal-chemical activation process. Leveraging the advantageous hierarchical structure inherent to biological sources, the resulting NSACs demonstrate enhanced ion transport, leading to remarkable capacity and power density. The NSACs synthesized by pyrolysis at 800 °C exhibit exceptional specific capacitances of 434 Fg-1 and 401 Fg-1 in Na2SO4 and H2SO4 electrolytes, respectively, in a 3-electrode system. The capacitance retention of the same NSAC was found to be 77.6% at a corresponding current density of 10 Ag-1 in H2SO4 electrolyte. This outstanding electrochemical performance can be attributed to the material's high specific surface area (1402 m2g-1), well-defined hierarchical porous structure, and a substantial degree of graphitization. A symmetric supercapacitor constructed using the synthesized NSACs demonstrates notable energy densities of 14.50 Whkg-1 and 25.0 Whkg-1, respectively. Furthermore, the symmetric supercapacitor exhibits excellent stability, retaining 91.3% to 94.3% of its capacity after 5000 consecutive GCD cycles with H2SO4 and Na2SO4 electrolytes, respectively. The synergistic combination of the unique characteristics of NSACs derived from Samanea saman biomass presents a promising avenue for the development of high-performance and environment friendly supercapacitors.

Article DOI: 10.1002/est2.616
DOI: 10.17632/gdvtwhm5rs.1
title: Short Video Production with Automated Computation Scene Composition Algorithms

description: In this research endeavor, a comprehensive framework has been devised for the automated generation of videos facilitated by user input.

The pivotal stages in the process of Automatic Video Generation are delineated below:

Media Dataset Construction: The foundational step involves the establishment of a diverse media repository, encompassing images, videos, and audio, serving as the underpinning for video synthesis.

Pre-Algorithmic and Pre-processing Procedures: Leveraging Natural Language Processing (NLP) and regular expressions, this phase entails the purification, formatting, and transformation of textual data to facilitate subsequent processing.

Text Segmentation Algorithm: This algorithm dissects textual content into manageable segments, such as sentences or paragraphs, aiding in the identification of crucial elements for constructing video sequences.

Entity Identification: This stage encompasses the extraction and categorization of named entities and pertinent information from textual content, guiding the process of video creation.

Query Engine Queries: The generation of context-driven queries from identified entities and relationships is conducted to retrieve suitable media resources from the dataset.

Timeline Analysis: Critical for the logical assembly of videos, this step involves determining temporal relationships between text segments and media objects.

Text and Media Integration: In the final phase, the amalgamation of text and media is executed using video editing software APIs or customized rendering engines, culminating in the production of the final video.

Consequently, this methodological approach has facilitated the establishment of a public repository."
DOI: 10.17632/bnryhmw6bf.1
title: Data on measured water level in six selected locations of Brahmaputra Valley in Assam

description: Assam is a north eastern state of India which witnesses heavy rainfall during the monsoon season. The heavy rainfall results in minor to major floods during this season which typically lasts from May to October. The data set accompanied by this description contains the measured water level readings of staff gauge placed at 6 selected locations of Brahmaputra Valley, on each day of May to October in the year 2018 and 2019. For each location, the dataset gives the following information :
(A) Danger Level (of water above which flood occurs) in meter. 
(B) Highest Flood Level (H.F.L) in meter.
(C) Water Level observed in meter on each day. 
(D) The date on which Highest Flood Level was observed.
 The data has been collected from the official website of Water Resources, Government of Assam (See https://waterresources.assam.gov.in/information-services/daily-flood-bulletin) and is compiled in .xlsx format. The dataset may help the researchers to model the excess level of water observed over the Danger Level and to understand the behaviour of floods associated with the rainfall in the Brahmaputra Valley during the discussed period.
DOI: 10.17632/g75gzdwbks.1
title: Non-Invasive Monitoring of NK Cell Response in Cancer: A Focus on STAT1 Activation

description: Our study presents imaging method that highlights the STAT1-mediated activation of NK cells to cancer cells. We engineered NK cells to incorporate an IFNγ activation sequence (GAS), which binds to the STAT1 transcription factor.
DOI: 10.17632/36mbrgczc3.1
title: Flower Waste Utilization Training

description: Abstract: An economic increase in a city that is getting better, has an impact on visiting tourist areas in a city and its surroundings. Bandung city which has many tourist destinations, making the tourist destination increase tourists and increase the activity and the need for consumptive products including agro products. through the activities carried out, we convey how to process flower waste owned in the Cihideung village area with agro-industrial techniques into solid soap, so that flower waste can be utilized properly.
DOI: 10.17632/36mbrgczc3.2
title: Flower Waste Utilization Training

description: Abstract: An economic increase in a city that is getting better, has an impact on visiting tourist areas in a city and its surroundings. Bandung city which has many tourist destinations, making the tourist destination increase tourists and increase the activity and the need for consumptive products including agro products. through the activities carried out, we convey how to process flower waste owned in the Cihideung village area with agro-industrial techniques into solid soap, so that flower waste can be utilized properly.
DOI: 10.17632/z986tk5pyv.1
title: The polarimeter vector for τ → 3πν_τ decays

description: The polarimeter vector of the τ represents an optimal observable for the measurement of the τ spin. In this paper we present an algorithm for the computation of the τ polarimeter vector for the decay channels τ^- → π^- π^+ π^- ν_τ and τ^- → π^- π^0 π^0 ν_τ. The algorithm is based on a model for the hadronic current in these decay channels, which was fitted to data recorded by the CLEO experiment [1].
DOI: 10.17632/9wzdgxpkb9.1
title: Doktor nöbet cetveli çizelgeleme problemi için ağırlıklı hedef programlama tabanlı genetik algoritma

description: Sağlık hizmeti alanında, hastaneler için kesintisiz hizmet esastır. Bu nedenle, vardiyalı çalışma, talep kısıtları ve devlet düzenlemeleri gibi kısıtların karşılanabilmesi açısından oldukça önemli bir rol oynamaktadır. Doktor nöbet cetveli çizelgeleme problemi, problemin karmaşıklığı ve büyüklüğü sebebiyle NP-zor problem grubu içerisinde tanımlanmaktadır. Bu çizelgeleme probleminde, atamaların adilliğine ek olarak, hastane yönetim politikaları ve hükümet düzenlemeleri dâhil olmak üzere ilgili pek çok faktör hesaba katılmalıdır. Bu çalışma, hastane gereksinimlerini, doktorlar arasındaki adilliği karşılayabilen ve doktor tercihlerini göz önünde bulundurabilen bir nöbet cetveli çizelgeleme sistemi oluşturmayı amaçlamıştır. Ele alınan nöbet cetveli çizelgeleme probleminin çözümü için bir ağırlıklı hedef programlama-tabanlı genetik algoritma önerilmiştir. Önerilen model Türkiye’de bir eğitim ve araştırma hastanesinin Dahiliye Departmanı ve İç Hastalıkları Departmanı’na uygulanmıştır. Gelecekte, oluşabilecek problem boyutları, şartları ve farklı tercih modelleri düşünülerek 15 farklı senaryo oluşturulmuştur. Bu senaryolarla önerilen algoritmanın farklı durumlarda da uygulanabilir olduğu gösterilmiştir. Önerilen algoritmanın parametreleri, bir deneysel tasarım yöntemiyle kalibre edilmiştir. Bu çalışma ile iki ana katkıda bulunulmuştur. Araştırmacılar için yeni kısıtlara sahip bir model önerilmiştir. Ek olarak, problemin çözümü için bir ağırlıklı hedef programlama-tabanlı genetik algoritma önerilerek gerçek-hayat problemine uygulanmıştır.
 Çalışmayla ilgili "Doktor Nöbet Cetveli Çizelgeleme Ekler Dosyası" dosyasında:
* EK 1. Literatürde sık kullanılan sert kısıtlar
* EK 2. Literatürde sık kullanılan yumuşak kısıtlar
* EK 3. 2010-2023 yılları arasında literatürde kullanılan sert kısıtların dağılımı
* EK 4. 2010-2023 yılları arasında literatürde kullanılan yumuşak kısıtların dağılımı
* EK 5. 2010-2023 yılları arasında literatürde kullanılan sert kısıtların sıklığı
* EK 6. 2010-2023 yılları arasında literatürde kullanılan yumuşak kısıtların sıklığı
* EK 7. Mevcut Durumun Nöbet Cetveli Çizelgesi
* EK 8. Önerilen Çözümün Nöbet Cetveli Çizelgesi
ekleri mevcuttur. 
 Ayrıca, "Veri Setleri" sıkıştırılmış dosyasında:
* Küçük Boyutlu Problemlerin Veri Setleri
* Orta Boyutlu Problemlerin Veri Setleri
* Büyük Boyutlu Problemlerin Veri Setleri
* Gerçek Boyutlu Problemlerin Veri Setleri
 mevcuttur.
DOI: 10.17632/hrp7cvsjxk.1
title: Neutrinos from muon-rich ultra high energy electromagnetic cascades: The MUNHECA code

description: An ultra high energy electromagnetic cascade, a purely leptonic process and initiated by either photons or e^±, can be a source of high energy neutrinos. We present a public python3 code, MUNHECA, to compute the neutrino spectrum by taking into account various QED processes, with the cascade developing either along the propagation in the cosmic microwave background in the high-redshift universe or in a predefined photon background surrounding the astrophysical source. The user can adjust various settings of MUNHECA, including the spectrum of injected high energy photons, the background photon field and the QED processes governing the cascade evolution. We improve the modeling of several processes, provide examples of the execution of MUNHECA and compare it with some earlier and more simplified estimates of the neutrino spectrum from electromagnetic cascades.
DOI: 10.17632/89vv35pmhr.1
title: BIMBAMBUM: A potential flow solver for single cavitation bubble dynamics

description: In the absence of analytical solutions for the dynamics of non-spherical cavitation bubbles, we have implemented a numerical simulation solver based on the boundary integral method (BIM) that models the behavior of a single bubble near an interface between two fluids. The density ratio between the two media can be adjusted to represent different types of boundaries, such as a rigid boundary or a free surface. The solver allows not only the computation of the dynamics of the bubble and the fluid-fluid interface, but also, in a secondary processing phase, the computation of the surrounding flow field quantities. We present here the detailed implementation of this solver and validate its capabilities using theoretical solutions, experimental observations, and results from other simulation softwares. This solver is called BIMBAMBUM which stands for Boundary Integral Method for Bubble Analysis and Modeling in Bounded and Unbounded Media.
DOI: 10.17632/6gb9gfm3dw.1
title: Evaluation of classical correlation functions from 2/3D images on CPU and GPU architectures: Introducing CorrelationFunctions.jl

description: Correlation functions are becoming one of the major tools for quantification of structural information that is usually represented as 2D or 3D images. In this paper we introduce CorrelationFunctions.jl open-source package developed in Julia and capable of computing all classical correlation functions based on imaging input data. Images include both binary and multi-phase representations. Our code is capable of evaluating two-point probability S_2, phase cross-correlation ρ_ij, cluster C_2, lineal-path L_2, surface-surface F_ss, surface-void F_sv, pore-size P and chord-length p distribution functions on both CPU and GPU architectures. Where possible, we presented two types of computations: full correlation map (correlations of each point with other points on the image, that also allows obtaining ensemble averaged CF) and directional correlation functions (currently in major orthogonal and diagonal directions). Such an implementation allowed for the first time to assemble a completely free solution to evaluate correlation functions under any operating system with well documented application programming interface (API). Our package includes automatic tests against analytical solutions that are described in the paper. We measured execution times for all CPU and GPU implementations and as a rule of thumb full correlation maps on GPU are faster than other methods. However, full maps require more RAM and, thus, are limited to available RAM resources. On the other hand, directional CFs are memory efficient and can be evaluated for huge datasets – this way they are the first candidates for structural data compression of feature extraction. The package itself is available through Julia package ecosystem and on GitHub, the latter source also contains documentation and additional helpful resources such as tutorials. We believe that a single powerful computational tool such as CorrelationFunctions.jl presented in this paper will significantly facilitate the usage of correlation functions in numerous areas of structural description and research of porous materials, as well as in machine learning applications. We also present some examples as applied to ceramic, soil composite and oil-bearing rock samples based on their 3D X-ray tomography and 2D scanning electron microscope images. Finally, we conclude our paper with discussion of possible ways to further improve presented computational framework.
DOI: 10.17632/hvjsxwnptk.1
title: data for HFS

description: reference data used for HFS calculation.
DOI: 10.17632/hvjsxwnptk.2
title: data for HFS

description: reference data used for HFS calculation.
DOI: 10.6084/m9.figshare.25388260.v4
title: 01.原始数据

description: 茄子转录组数据
DOI: 10.17632/xzzyz27rzn.1
title: complexities of the world

description: this paper talks about the economic complexities of the world
DOI: 10.17632/t8c7s32hn5.1
title: IMAGE DATA FOR MF-SFF 3D RECONSTRUCTION

description: Structural analysis of minuscule height objects holds paramount significance in fields such as industrial manufacturing and medical testing. Currently, 3D reconstruction method based on shape from focus (SFF) has emerged as an efficacious approach for acquiring submicron-level height change information. A novel multi-field SFF(MF-SFF) framework incorporates pulse-controlled continuous acquisition methods and parallel chain processing (PCP) strategy, effectively addressing challenges associated with minuscule height objects. The MF-SFF framework not only accomplishes high-precision and rapid 3D reconstruction but also demonstrates robust adaptability. It overcomes issues related to the rapid collection and processing of massive image data during the 3D reconstruction of objects. This is a image dataset for 3D reconstruction based on MF-SFF.
Please conduct SFF based 3D reconstruction testing based on the parameters provided in "Param". In each numbered folder, such as "001003", where "001" represents the X-direction field of view number and "003" represents the Y-direction field of view number.
DOI: 10.17632/4hmyws7cbc.1
title: Road Pavement Health Monitoring System using Smartphone Sensing with a Two-stage Machine Learning Model

description: The Road Pavement Health Monitoring System Dataset is a comprehensive collection of GPS and motion sensor data gathered through smartphone sensing for the purpose of assessing and monitoring the health of road pavements. This dataset is associated with the research paper titled "Road Pavement Health Monitoring System using Smartphone Sensing with a Two-stage Machine Learning Model," .
DOI: 10.5281/zenodo.10807768
title: FSIN Statistics

description: Statistics gathered from FSIN online resources by Gulag Echoes team. Tables of statitics require excel or equivalent software.
DOI: 10.5281/zenodo.10807769
title: FSIN Statistics

description: Statistics gathered from FSIN online resources by Gulag Echoes team. Tables of statitics require excel or equivalent software.
DOI: 10.17632/cphy3v5pwr.1
title: NOMADeAPP Mixed LBP dataset

description: The aim of this heterogeneous dataset (quantitative and qualitative data) is to assess the added value (analysis methodology) in phenotyping patients with chronic non-specific low back pain (CNSLBP). This dataset comes from 41 CNSLBP patients included in an original pilot cohort study.
DOI: 10.5281/zenodo.10807634
title: Dataset of paper "Applying Density-Based Clustering for the Analysis of Emission Events in Real Driving Emissions"

description: This dataset includes the signal traces for the events used in the publication "Applying Density-Based Clustering for the Analysis of Emission Events in Real Driving Emissions Calibration", MDPI Future Transportation, 2024 (doi: 10.3390/futuretransp4010004).

The data is available in a frequency of 1 Hz and the signals are arranged in separate tables. Please note, that the order of the events is not consistent for the individual signals.

The general vehicle specifications are listed below. For further information please refer to the paper.




Characteristic
Unit
Value


Vehicle weight
kg
> 2000


Fuel
-
Gasoline


Engine type
-
Turbo-charged 8 cylinder


Engine power and torque
kW / Nm
> 400 / > 600


Cubic capacity
cm^3
~ 4000


Transmission
-
Automatic transmission (AT)


Drivetrain
-
All-wheel drive (AWD)


Exhaust aftertreatment system (EATS)
-
Three-way catalytic converter (TWC) and gasoline particulate filter (GPF)


Condition of EATS
-
Stabilized EATS (~ 70 % of tests) and aged EATS (~ 30 % tests)


Emission target
-
EU6d
DOI: 10.5281/zenodo.10807635
title: Dataset of paper "Applying Density-Based Clustering for the Analysis of Emission Events in Real Driving Emissions"

description: This dataset includes the signal traces for the events used in the publication "Applying Density-Based Clustering for the Analysis of Emission Events in Real Driving Emissions Calibration", MDPI Future Transportation, 2024 (doi: 10.3390/futuretransp4010004).

The data is available in a frequency of 1 Hz and the signals are arranged in separate tables. Please note, that the order of the events is not consistent for the individual signals.

The general vehicle specifications are listed below. For further information please refer to the paper.




Characteristic
Unit
Value


Vehicle weight
kg
> 2000


Fuel
-
Gasoline


Engine type
-
Turbo-charged 8 cylinder


Engine power and torque
kW / Nm
> 400 / > 600


Cubic capacity
cm^3
~ 4000


Transmission
-
Automatic transmission (AT)


Drivetrain
-
All-wheel drive (AWD)


Exhaust aftertreatment system (EATS)
-
Three-way catalytic converter (TWC) and gasoline particulate filter (GPF)


Condition of EATS
-
Stabilized EATS (~ 70 % of tests) and aged EATS (~ 30 % tests)


Emission target
-
EU6d
DOI: 10.48328/tudatalib-1375
title: Supplementary data of Resonant Nanopumps: AC Gate Voltages in Conical Nanopores Induce Directed Electrolyte Flow

description: This collection contains the raw data, numerical model, and other supporting material for the following publication: Aaron D. Ratschow, Doyel Pandey, Benno Liebchen, Somnath Bhattacharyya, and Steffen Hardt; ' Resonant Nanopumps: ac Gate Voltages in Conical Nanopores Induce Directed Electrolyte Flow ', Phys. Rev. Lett. 129(26), 264501 (2022). DOI: https://doi.org/10.1103/PhysRevLett.129.264501 The raw data for the published results are kept under the ''data published'' folder. The computational finite-element model (Comsol Multiphysics mph-format and the command history as Matlab code) is stored inside the ''numerical modelling'' folder. The handwritten notes/derivations are saved under the ''analytical modelling'' folder.
DOI: 10.17632/8b5pzwx4tg.1
title: Isotope and water chemistry - 30 Polish lakes

description: The dataset presents the results of a seasonal monitoring (in 2012) of water chemistry and carbonate precipitation in 30 hardwater Polish lakes located along the temperature gradient (west-east). We collected the information about water chemistry (surface water temperature, pH, conductivity, Ca2+ and HCO3-) and we measured the dD, d18O from water samples, and d13C and d18O from carbonates deposited in sediment traps. 
The overall monitoring program was designed to capture a pattern of relationships between meteorological conditions and carbonate precipitation.
DOI: 10.17632/j7xhxfzdsx.1
title: Figure_6_original_blots

description: CELL-REPORTS-D-23-04689 manuscript Figure 6B original blots
DOI: 10.17632/5gkgnv3skg.1
title: CAMP - version GPU Linear solver

description: CAMP version used for the measurements of the GPU Linear solver Biconjugate Gradient, and the Block-cells strategy.

Latest developments at https://github.com/open-atmos/camp
DOI: 10.17632/5gkgnv3skg.2
title: CAMP - version GPU Linear solver

description: CAMP version used for the GPU Linear solver Biconjugate Gradient measurements, and the Block-cells strategy.

Latest developments at https://github.com/open-atmos/camp
DOI: 10.17632/fmch4w5ygs.1
title: slr_js_ti

description: Navigating Job Satisfaction and Turnover Intention- An Investigation of Common Factors Affecting Workplace Stability through Systematic Review