cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/b7x8khsm65
title: Bismuth based Metal Oxide Photoelectrode Materials for Photoelectrochemical Generation of Solar Fuels

description: S.F.U. Farhad, N.I. Tanvir, and M.R. Molla, "Bismuth based Metal Oxide Photoelectrode Materials for Photoelectrochemical Generation of Solar Fuels" (paper ID#P25) presented at International Solar Fuels Conference, 26-29 July 2021, United Kingdom organized by Royal Society Chemistry (RSC), UK.  URL Link: https://isf2021-rsc.ipostersessions.com/?s=BB-CA-2F-1D-FA-72-CC-9B-62-C1-A1-1B-89-87-46-D0

Abstract: 

Photoelectrochemical (PEC) devices employ sunlight illuminated semiconductors to split water into hydrogen (a clean solar fuel) and oxygen. To this end, bismuth-based semiconductors are an intriguing class of photoelectrode materials that can potentially enable large-scale solar hydrogen production via PEC water splitting. Due to their so-called defect tolerance as well as other favorable photophysical and photoelectrochemical features, bismuth vanadate (BiVO4) and copper bismuth oxide (CuBi2O4), respectively, are perhaps the most promising photoanode and photocathode materials for attaining high solar-to-hydrogen efficiency. In this effort, both BiVO4(BVO) and CuBi2O4 (CBO)  powders have been synthesized utilizing a facile solid-state reaction technique for subsequent sol-gel derived fabrication of photoelectrodes atop the transparent conducting substrates.  The structural, optical, and Raman studies suggest that phase pure monoclinic scheelite  BVO and tetragonal CBO could be grown from inorganic oxide powder as raw materials by adopting suitable processing conditions. The optical bandgap was measured in the range of ~2.38 – 2.58 eV for BVO and ~1.70 – 1.85 eV for CBO from the UV-VIS-NIR Diffuse reflection data. The BVO photoanode and CBO photocathode with variable structural and optical properties could be promising candidates for self-sustained PEC generation of solar fuels.
DOI: 10.17632/nsxgs8392s
title: Deposition data from: Assessing changes in indicators of fish health measured between 1997 and 2019 relative to multiple natural and anthropogenic stressors in Canada’s oil sands region using spatio-temporal modeling

description: Oil sands facilities in northern Alberta influence the environment in many ways. Some, such as land clearance and mine construction have clear physical effects while others are also associated with changes in chemical indicators, such as stack emissions or wind-blown dust. Less well established are the biological effects of oil sands industrial activity. The purpose of the study using the data provided here (10.3389/fenvs.2024.1405357) was to examine the potential effects of various sources at oil sands sites emitting particles to the atmosphere and deposited on the landscape. The focus of the original study was not specifically on evaluating patterns of deposition, although some were alluded to in the results and discussion of that paper (and are presented as figures in the main manuscript or the supplemental information). More details about the methods are available elsewhere (10.3389/fenvs.2024.1405357), but these data were generated using the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory) atmospheric transport and dispersion model made available by the Atmospheric Research Laboratory. The datafiles provided here include the mass of particles deposited to the landscape for each respective year of study (1997, 1999-2001, 2004-2007, 2009-2019) for the months of June, July, and August; summer was chosen for its relevance to estimates of fish health, but also to limit the computation time. The final deposition location of particles emitted from all sources, including those adjusted post-hoc (and described in the original paper) are provided as ‘new_lat’ and ‘new_long.’ The unzipped file size is roughly 5GB. These data should be interpreted as spatially and temporally relative; their purpose was not to exactly reproduce absolute deposition, but instead to capture spatial and temporal variability in deposition patterns.
DOI: 10.17632/j7d5sg9scv
title: Bacterial microbiota of Lepidochelys olivacea at the Puerto Arista beach-CHIAPAS

description: The beaches of Chiapas, at the Mexican Pacific, are an important nesting site for the Lepidochelys olivacea species. As they are migratory marine reptiles, they are difficult to study in the natural environment, so the nesting process is important to obtain biological information. Microbiological studies in these species allow us to understand the potential risks of bacterial zoonosis, derived from the handling of turtles and the consumption of eggs. In this work, morphometric data and cloacal and oral samples were obtained from 23 nesting females of L. olivacea, from August-December 2021, at the Puerto Arista beach, Chiapas, Mexico. A total of 18 bacterial taxa were identified through biochemical tests, of which five are genera, and up to 12 species were identified. A significant higher number of taxa were isolated from oral cavity (N=18), of which five were only identified to genus. Six taxa were isolated from the cloaca, two of them were identified to genus and four to species level. The most frequent genus in both cavities was Enterobacter, in addition to Citrobacter, Streptococcus and Staphylococcus. Also, the potentially pathogenic species for humans P. aeruginosa, K. ozaenae and V. alginolyticus were identified. These types of analyzes are essential to determine the infectious potential of bacteria for sea turtle species, as well as for humans. As they are threatened species, it is necessary to have a baseline that allows the care of immunosuppressed and sick animals. Likewise, they allow evaluating the zoonotic potential in the management activities of turtle species, which is of special interest for the staff of the camps installed on the country's beaches.
DOI: 10.17632/33nnwss5tf
title: Multifractal parameter dataset

description: The dataset contains the multifractal spectral dimensions and singularity indices of all sampling points, as well as the necessary data for plotting multifractal spectra and singular spectral functions.
DOI: 10.17632/9n87xggvpf
title: LOLY 1.0: A Proposed Human-Robot-Game Platform Architecture for the Engagement of Children with Autism in the Learning Process

description: Existing studies indicate the use of the Socially Assistive Robotic (SAR) system has enormous potential to advance therapeutic interventions in the learning process of children with Autistic Spectrum Disorder (ASD). Interactive technology, including the use of educational video games, can motivate ASD children to engage by adopting the technology as part of their communications tools. The complexity in the integration of various components of SAR linked to educational/serious games hinder the modularity and scalability of these robotic systems. This work proposes the design of an architecture for a SAR platform through the integration and reproduction of robot prototype, “Loly 1.0”. Loly 1.0 has mechanical movements, audio, and gestures connected to educational games in real-time. This will support the learning process of ASD children. The robotic platform architecture design is comprised of three main parts: robot, educational game, and cloud services. A proof of concept of the SAR prototype was per-formed with non-ASD and ASD children. Evaluation and analysis of “synchronized operational precision between robot and video game” and “degrees of attention and usability” will be conducted. The lessons learned during the testing process will help to improve the architectural designs of hardware/software integration and connectivity. The results of reproducing a SAR prototype will be to attract the attention of an ASD child through the use a video game to engage the process of “learn by playing”. This will contribute to the design of engaging and personalized Human-Robot-Interaction (HRI) and Human-Computer-Interaction (HCI) technology beneficial for inclusive education.
DOI: 10.17632/rysr4d67hx
title: The Merlin control language for strategic optimization

description: Abstract Mcl is the programming language of the Merlin optimization environment. It can be used for the implementation of efficient optimization strategies, abolishing to a great extend the need for user intervention. The language is simple to learn and its structure is similar to Fortran. We report on successful applications where Mcl played an instrumental role, as for example in molecular physics problems and in the training of neural networks. Title of program: MCL-3.0 Catalogue Id: ABHA_v2_0 [ADHR] Nature of problem Complex optimization problems that cannot be solved efficiently via a single algorithm and they rather need to be tackled by a multi-algorithm strategy. Versions of this program held in the CPC repository in Mendeley Data ABHA_v1_0; MCL; 10.1016/0010-4655(89)90006-4 ABHA_v2_0; MCL-3.0; 10.1016/S0010-4655(98)00006-X This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.5281/zenodo.14948281
title: QALQONSIMON BEZ KASALLIKLARI  VA 2-TOIFA QANDLI DIABET O'RTASIDAGI MUNOSABATLAR
DOI: 10.5281/zenodo.14948282
title: QALQONSIMON BEZ KASALLIKLARI  VA 2-TOIFA QANDLI DIABET O'RTASIDAGI MUNOSABATLAR
DOI: 10.17632/j7bz9v33w8
title: MicroRNAs as a therapeutic target in IgA nephropathy in Indian population

description: Immunoglobulin A Nephropathy (IgAN) is the most occurring glomerular disease with rapid development to End Stage Renal Disease requiring renal replacement therapy. Genome-wide studies suggest geographical variations in genetic susceptibility to IgAN and disease progression have been shown to play a vital role in physio pathological state. In this study, we have identified new microRNAs allied with IgAN in Indian population. The miRNA was isolated from kidney biopsies of IgAN patients and healthy control (healthy tissue from patients with renal cell carcinoma). Small RNA library preparation was performed, followed by Next Generation Sequencing on the ION S5 Torrent at 1x50 base pairs. Later the miRNA expression analyses were carried and obtained high-quality reads from BAM file. The sequence of miRNA reads was mapped to reference Human genome (hg38). The Partek Flow Genomic Analysis Software was used to compare the miRNAs expression between healthy participants and patients with IgAN.
DOI: 10.17632/3ydd4tkm7c
title: Number of plant varieties application by Japanese sub-national government from 1978 to 2020

description: 1. This data set shows the number of applications filed with the Ministry of Agriculture, Forestry and Fisheries to obtain breeder's rights for plant varieties developed by 47 sub-national governments in Japan between 1978 and 2020. 2. It also shows the relationship between the number of applications and the number of plants. 3. Finally, the number of applications for the 20 years period from 2000 to 2019 is shown by sub-national governments. The figure uses five-year averages, but the data set shows the number of applications for each year. To create this data set, I used the CSV output of all data items (http://www.hinshu2.maff.go.jp/vips/cmm/apCMM110.aspx?MOSS=1) published by the Ministry of Agriculture, Forestry and Fisheries. However, the data published by MAFF is only provided in Japanese. In the totaling of the data, the variety developed by the legal persons managed by the budget of the sub-national government such as local independent administrative agency and public interest foundation was also counted as the variety developed by the sub-national government, even if it was not explicitly made to be sub-national government.
DOI: 10.17632/4xn5bynbwv
title: Super Multiplicative VRS DEA (SMVDEA) input-oriented model with raw measurements results

description: Super Multiplicative VRS DEA input-oriented model results obtained with 660 DMUs using apache bench tool for evaluating video stream files on two main webservers from the market, that are Apache2 vs Nginx, varying 15 TCP congestion control algorithms on Xen hypervisor.

Abstract:
The prediction of the best set of tools for delivering network services is always a hot topic of research, mainly on the Internet where the population changes its interest in the type of services to be consumed rapidly. Moreover, randomness is a challenge for all kinds of prediction, even though specifically on computer networks in the 90´s decade the self-similarity concept on computer networks brought the memory over time on spatiotemporal data. The self-similarity's memory and fractal dimension are important indexes to see the difference in performance and stability among a set of time series data over time. Recently, it was discovered on virtual networks that change the set of tools or virtual network hypervisors for delivering services there is a distinct fractal behaviour on network services providers. Then, the choice of the best virtual network hypervisor is mandatory to deliver the best way to provision virtual network services along the time. By the way, the researchers discovered along with the history a series of analytic ways of forecasting services based on time series, one of them is data envelopment analysis (DEA). DEA are nonparametric multicriteria decision-making models that use decision variables to make an accurate judgment of decision-making units (DMU). The main contribution of the paper is to devise a new super-efficiency multiplicative DEA model for the prediction of the best DMU varying the TCP congestion control algorithms and virtual network settings as vCPU (1, 2, 3, and 4) and vRAM (1,2, and 4) with network and fractal indexes as decision variables. The experiments were conducted on Xen type-I hypervisor to acquire the web traffic by using the apache-bench benchmarking tool for obtaining each decision variable from DMUs for DEA ranking.
DOI: 10.17632/hfzvhd2f5p
title: U.S. Stock Market Data - Dow Jones (501 companies, 2010-2016)

description: The dataset consists of daily data from US Dow Jones for 501 large companies, over the time span 2010-2016, while monthly publicly available indexes are also used.
DOI: 10.17632/mrt4d6s5bm
title: datasets

description: Site#1 and site#2 refer to two wind speed datasets adopted in the research paper " A multi-layer extreme learning machine refined by sparrow search algorithm and weighted mean filter for short-term multi-step wind speed forecasting". Site#1 contains 1000 hourly wind speed data samples in Inner Mongolia Autonomous Region, China. Whereas site#2 contains 1000 hourly wind speed data samples in Mauna Loa, Hawaii, US.
DOI: 10.17632/f4jrwm2tnf
title: A knowledge elicitation study to inform the development of a consequence model for Arctic ship evacuations: qualitative and quantitative data

description: A two-phased mixed methods design was employed to elicit expert knowledge to inform the development of a life-safety consequence model for Arctic ship evacuations. Semi-structured interviews elicited perspectives on the factors that influence the expected numbers of fatalities during a ship evacuation in Arctic waters. Interviews were held and recorded over video-conference. Interviews were transcribed verbatim and analysed using thematic analysis. Interview data informed the development of an online survey, in which evacuation scenarios were rated for the level of life-safety consequence severity they pose. Sixteen experts in the field of Arctic seafaring, policy, and academia and research participated in the interviews and survey. The interview guide and survey questions are presented. Data tables present the codes that emerged through thematic analysis, including code reference counts and code intersection counts. The most frequently referenced codes and code intersections informed the development of the evacuation scenarios defined in the online survey. Data tables present the raw data of participant responses to the rating survey. The authors used this data to develop a conceptual framework of the factors that influence the potential for loss of life resulting from a ship evacuation in the Arctic and quantify consequence severities for different Arctic ship evacuation scenarios. This data can support further investigation of factors that influence consequence severity, definition of a broader range of evacuation scenarios, and establishment of associated consequence severities. This data has value to those with interest in Arctic maritime policy and operational risk management.
DOI: 10.17632/7pjgtctxw7
title: LINF_070017600

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/8pnvjtcbwc
title: Water absorption and hydrothermal ageing effects on tensile properties of nanofibrillated cellulose/biobased poly(butylene succinate) composites 

description: The dataset provides experimental data on water absorption and tensile properties of bio-based poly(butylene succinate) (PBS) composites containing nanofibrillated cellulose (NFC) of 5, 10, 20, 30, and 50 wt.% (5NFC, 10NFC, 20NFC, 30NFC, 50NFC, respectively). PBS/NFC composite films (thickness 0.2 mm) were produced by solution casting.  The effect of humid environment (RH = 98%, T = 22 °C; denoted as RH98) and hot distilled water (T = 50 °C; denoted as W50) on tensile properties was studied. Data can be useful for modelling water absorption of biopolymer/NFC based composites and assessment of the NFC reinforcement efficiency under the environmental impact.
DOI: 10.17632/wbppjrcgsr
title: Corrected ISICS program versions available due to a minor calculation error involving M3 X-ray production cross sections

description: Abstract The Coster–Kronig enhancement factor for M3 shell X-ray production cross sections was found to be incorrectly calculated in all versions of ISICS. The affected program has been corrected and replaced in all versions of ISICS. Title of program: ISICS2011 and predecessor versions. Catalogue Id: ADDS_v4_1.tar Nature of problem Ionization and X-ray production cross sections for ion-atom collisions. Versions of this program held in the CPC repository in Mendeley Data adds_v1_0.gz; ISICS; 10.1016/0010-4655(96)00068-9 adds_v1_1.tar; ISICS2011 and predecessor versions.; 10.1016/j.cpc.2013.02.017 adds_v2_0.tar; ISICS; 10.1016/j.cpc.2006.08.004 adds_v2_1.tar; ISICS2011 and predecessor versions.; 10.1016/j.cpc.2013.02.017 adds_v3_0.tar; ISICS; 10.1016/j.cpc.2008.06.003 adds_v3_1.tar; ISICS2011 and predecessor versions.; 10.1016/j.cpc.2013.02.017 adds_v4_0.tar; ISICS2008; 10.1016/j.cpc.2009.04.019 adds_v4_1.tar; ISICS2011 and predecessor versions.; 10.1016/j.cpc.2013.02.017 adds_v5_0.tar; ISICS2011; 10.1016/j.cpc.2011.06.004 adds_v5_1.tar; ISICS2011 and predecessor versions.; 10.1016/j.cpc.2013.02.017 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/6wmz85wt5c
title: Chinese bioeconomy value added

description: This dataset includes: 
1: The data of input-output tables to measure the Chinese bioeconomy are taken from OECD statistics, which give relations between sectors from 1995 to 2018. 
2: The inflation data are taken from World Bank GDP deflator statistics.
3: The code to measure the bioeconomy value added.
DOI: 10.5281/zenodo.14948285
title: GIPOTIREOIDIZMNI EKSPERIMENTAL MODELLASHTIRISH
DOI: 10.5281/zenodo.14948286
title: GIPOTIREOIDIZMNI EKSPERIMENTAL MODELLASHTIRISH
DOI: 10.17632/kzppdk4dtb
title: LINF_080006400

description: RuvA-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/cdfbn3cryv
title: LINF_060007200

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/f6kwjvg8gw
title: BSMArt: Simple and fast parameter space scans

description: We introduce BSMArt, a python program for the exploration of parameter spaces of theories Beyond the Standard Model. Especially designed for use with the SARAH family of tools, it is also sufficiently flexible to be used with a wide variety of external codes. BSMArt contains the first public release of the Active Learning scan by the same authors; but contains several additional scanning algorithms, ranging from the very simple to MultiNest and Diver. A BSMArt scan can be set up in a matter of minutes with only minimal editing of configuration files; installation scripts for all relevant tools and examples are provided.
DOI: 10.17632/h3tg89339r
title: Echocardiographic predictors of mortality in intermediate-risk pulmonary embolism

description: scientific research for publishing the article
DOI: 10.17632/n9z3ftsmmm
title: Digital amnesia bibliometric analysis

description: This article focuses on the bibliometric analysis on digital amnesia.
DOI: 10.17632/4zk559xkx2
title: LINF_040015700

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5) genome
DOI: 10.17632/wkhswx3nf8
title: Poly(I:C) Enhances Mesenchymal Stem CellControl of Myeloid Cells and CorrectDysfunction in COVID-19. Souza-Moreira, L.et al.

description: Using a combination of ex vivo models (whole blood culture), we reveal that poly(I:C)-primed MSCs enhance the antiviral and modulatory ability of MSCs, leading to the recalibration of the dysregulated immune cellular response in COVID-19 patient whole blood samples. This study demonstrates that MSCs can be induced to upregulate antiviral protein expression while enhancing the ability to modulate patient immune cells, including direct evidence of MSCs and immune cells in the context of severe COVID-19. We establish a unique ex-vivo MSC co-culture system using whole blood from healthy donors and severe COVID-19 patients to examine the modulation of MSCs on acute inflammation, and severe COVID-19 immune responses. Deep profiling of the immune landscape using mass cytometry (CyTOF) reveals how viral mimic poly(I:C) enhanced MSCs’ influence on specific immune cell compositions, particularly on phenotypic and functional shifts on the myeloid-derived populations to the less inflammatory phenotypes. A SARS-CoV-2 pseudoviral system is utilized to demonstrate, for the first time, that poly(I:C)-priming enhances MSCs’ ability to block pseudoviral entry into lung epithelial cells.
DOI: 10.17632/78yh2ntkvw
title: Development of a polyclonal antibody for detection and sensitive quantification of immunoglobulin M-like antibody in Pangasius hypophthalmus plasma
DOI: 10.17632/fdfjvh9brm
title: Supplemental Figure-Movie S1

description: Supplemental Figure for STAR protocol "Evaluation of long-chain fatty acid respiration in neonatal mouse cardiomyocytes using SeaHorse instrument"
Beating neonatal mouse cardiomyocytes, related to Step 1.
DOI: 10.17632/fnmr96jf9r
title: Table 2 Biochemical test

description: Biochemical test comparing Streptomyces strain
DOI: 10.17632/p23ngc2bck
title: Western blot-YQY

description: WB-1: Western blot analysis of the expression of various types of proteins in RAW264.7 cells.
WB-2:Western blot analysis of the expression of intestinal proteins
WB-3:Western blot analysis of the expression of brain proteins
DOI: 10.17632/bknxf92x8f
title: No-Touch Technique to Enhance Efficiency and Safety in Suturing with Limited Suture Length

description: Managing short suture ends presents challenges in needle control, knot tying, and efficiency while increasing the risk of needlestick injuries. The no-touch suturing technique optimizes needle handling using forceps for stabilization and the needle driver for suture manipulation, reducing direct hand-to-needle contact. This approach enhances precision, minimizes suture waste, and promotes safety.