cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13095331
title: Valorisation of Basa (<i>Pangasianodon hypophthalmus</i>) Skin Waste into Quality Leather Using a Non Chrome Treatment Method

description: Basa, a widely cultured, processed, and traded fish generates huge quantity of unutilized waste especially skin from processing units. Fresh cleaned Basa skin was treated with calcium carbonate (CCT), sodium hydroxide (SHT) and then treated with isopropyl alcohol and glycerin at three different ratios (0.5:1 (C1), 1:1 (C2) and 1:0.5 (C3)) at 4, 7, 14, and 30 days, respectively. Proximate composition, collagen and hydroxyproline contents of skin waste along with textural properties and histological analysis of developed fish leather were examined. The major constituent of skin protein was the collagen (43.31 ± 3.78%), which plays a significant role in leather processing. Histological analysis indicated that arrangement of collagen fibers before and after the treatment process demonstrated the adequacy of the process. The physical quality parameters such as tear strength (72.42 ± 0.22 N/mm) obtained for C3 at 14<sup>th</sup> day and tensile strength (67.65 ± 0.07 kgf) for C2 on the 7<sup>th</sup> day were found to be in acceptable range and comparable to animal leather. Value added leather products developed under the study had better acceptability. The technology and process developed will be a boost to the growing fish waste management problem around the world and a promising alternative for exotic animal leathers.
DOI: 10.6084/m9.figshare.13095331.v1
title: Valorisation of Basa (<i>Pangasianodon hypophthalmus</i>) Skin Waste into Quality Leather Using a Non Chrome Treatment Method

description: Basa, a widely cultured, processed, and traded fish generates huge quantity of unutilized waste especially skin from processing units. Fresh cleaned Basa skin was treated with calcium carbonate (CCT), sodium hydroxide (SHT) and then treated with isopropyl alcohol and glycerin at three different ratios (0.5:1 (C1), 1:1 (C2) and 1:0.5 (C3)) at 4, 7, 14, and 30 days, respectively. Proximate composition, collagen and hydroxyproline contents of skin waste along with textural properties and histological analysis of developed fish leather were examined. The major constituent of skin protein was the collagen (43.31 ± 3.78%), which plays a significant role in leather processing. Histological analysis indicated that arrangement of collagen fibers before and after the treatment process demonstrated the adequacy of the process. The physical quality parameters such as tear strength (72.42 ± 0.22 N/mm) obtained for C3 at 14<sup>th</sup> day and tensile strength (67.65 ± 0.07 kgf) for C2 on the 7<sup>th</sup> day were found to be in acceptable range and comparable to animal leather. Value added leather products developed under the study had better acceptability. The technology and process developed will be a boost to the growing fish waste management problem around the world and a promising alternative for exotic animal leathers.
DOI: 10.17632/3bwx6prn2w.1
title: Boson Subsidiary Solver (BoSS) v1.1

description: How best to model systems of interacting electrons in an accurate and computationally efficient manner is an outstanding problem in theoretical and computational materials science. For materials where strong electronic interactions are primarily of a localized character and act within a subspace of localized quantum states on separate atomic sites (e.g., in transition metal and rare-earth compounds), their electronic behaviors are typically described by the Hubbard model and its extensions. In this work, we describe BoSS (Boson Subsidiary Solver), a software implementation of the subsidiary-boson (also known as slave-boson or auxiliary-boson) method appropriate for describing a variety of extended Hubbard models, namely p - d models that include both the interacting atomic sites (“d” states) and non-interacting or ligand sites (“p” states). We provide a theoretical background, a description of the equations solved by BoSS, an overview of the algorithms used, the key input/output and control variables of the software program, and tutorial examples of its use featuring band renormalization in SrVO3, Ni 3d multiplet structure in LaNiO3, and the relation between the formation of magnetic moments and insulating behavior in SmNiO3. BoSS interfaces directly with popular electronic structure codes: it can read the output of the Wannier90 software package [1], [2] which postprocesses results from workhorse electronic structure software such as Quantum Espresso [3] or VASP [4].
DOI: 10.17632/tnzk2jvffs.1
title: Chemical Kinetics Bayesian Inference Toolbox (CKBIT)

description: The robust estimation of chemical kinetic parameters and their associated uncertainty is essential in the field of chemistry and catalysis. The Chemical Kinetics Bayesian Inference Toolbox (CKBIT) is a Python software library introduced to enable users to implement advanced Bayesian inference techniques for kinetic parameter estimation and uncertainty quantification. Leveraging functionalities of other open source Python packages and offering simplified implementation through minimal user-required coding and straightforward Excel input files, CKBIT aspires to make the inference method easily accessible for chemical kinetics. CKBIT provides maximum a posteriori, Markov chain Monte Carlo, and variational inference estimation options. Users may apply these functionalities to estimate activation energies, reaction orders, and pre-exponential terms from chemical reaction data from batch reactors, continuous stirred-tank reactors, and plug flow reactors. The availability of prior distribution specification and the implementation of hierarchical modeling in CKBIT provide a heightened level of accuracy in estimates of kinetic parameters and their uncertainties.
DOI: 10.17632/tnzk2jvffs.2
title: Chemical Kinetics Bayesian Inference Toolbox (CKBIT)

description: The robust estimation of chemical kinetic parameters and their associated uncertainty is essential in the field of chemistry and catalysis. The Chemical Kinetics Bayesian Inference Toolbox (CKBIT) is a Python software library introduced to enable users to implement advanced Bayesian inference techniques for kinetic parameter estimation and uncertainty quantification. Leveraging functionalities of other open source Python packages and offering simplified implementation through minimal user-required coding and straightforward Excel input files, CKBIT aspires to make the inference method easily accessible for chemical kinetics. CKBIT provides maximum a posteriori, Markov chain Monte Carlo, and variational inference estimation options. Users may apply these functionalities to estimate activation energies, reaction orders, and pre-exponential terms from chemical reaction data from batch reactors, continuous stirred-tank reactors, and plug flow reactors. The availability of prior distribution specification and the implementation of hierarchical modeling in CKBIT provide a heightened level of accuracy in estimates of kinetic parameters and their uncertainties.
DOI: 10.17632/t42s2fb2p8.4
title: Riparian buffer zone site-specific factors significance review database

description: The factor significance review comprised 94 studies. This brought additional studies to those used earlier in the quantitative review (limited to 75 studies documenting mass load reductions) and queried the findings differently. Sediment, nitrate, dissolved and total P were well-studied (≥35 each), total N and runoff volume moderately studied (≥19 studies each) and pesticides, ammonium and coliforms least studied (&lt;19 studies each), with only one study dealing with colloidal P. Evidence comes primarily from warm temperate climate zones, less from snow zone climates and most limited from arid and tropical regions. Studies described effects dominantly in simulated (ie a plot or soil monolith isolated from its landscape context) and created RBZ (a land change to a buffer in a realistic environmental context), with fewer studies in semi-natural riparian zones. There was a mixture of simulated or natural rainfall; only sediment retention evidence draws heavily on studies using artificial plots and/or simulated rain applications. A mixture of temporal scales was used; artificial plot studies tended to be of shorter duration with few isolated rain events, whereas studies of buffers in their landscape context tended to exceed one year. Study spatial scale was dominated more by plot scale investigations with fewer at reach to catchment scales.
DOI: 10.6084/m9.figshare.14604957
title: Supplementary Material for: Sex Differentiation in Amphibians: Effect of Temperature and Its Influence on Sex Reversal

description: The role of environmental factors in sexual differentiation in amphibians is not new. The effect of hormones or hormone-like compounds is widely demonstrated. However, the effect of temperature has traditionally been regarded as something anecdotal that occurs in extreme situations and not as a factor to be considered. The data currently available reveal a different situation. Sexual differentiation in some amphibian species can be altered even by small changes in temperature. On the other hand, although not proven, it is possible that temperature is related to the appearance of sex-reversed individuals in natural populations under conditions unrelated to environmental contaminants. According to this, temperature, through sex reversal (phenotypic sex opposed to genetic sex), could play an important role in the turnover of sex-determining genes and in the maintenance of homomorphic sex chromosomes in this group. Accordingly, and given the expected increase in global temperatures, growth and sexual differentiation in amphibians could easily be affected, altering the sex ratio in natural populations and posing major conservation challenges for a group in worldwide decline. It is therefore particularly urgent to understand the mechanism by which temperature affects sexual differentiation in amphibians.
DOI: 10.17632/wctsctv2p3.1
title: Study on the characteristic laws of urban road traffic flow under rainstorm and waterlogging: Calibration results of car-following models

description: An experiment based on a high-fidelity driving simulator is conducted to collect the drivers’ behavior data in the scenario of rainfall and waterlogging where totally 30 groups of scenarios with different levels of rainfall intensity and water depth are included. Different car following models are calibrated in the light of the drivers’ behavior database from the experiment and the best one is chosen to simulate the traffic flow on urban road sections. As to the study, see our published paper for more details: Ni X, Huang H, Chen A, et al. Effect of heavy rainstorm and rain-induced waterlogging on traffic flow on urban road sections – an integrated experiment and simulation study[J]. Journal of Transportation Engineering, Part A: Systems. DOI: 10.1061/JTEPBS.0000557. This dataset gives the calibration results of the potential car following models in the study.
DOI: 10.17632/c7kg9m7gv9.1
title: Data on physicochemical parameters and functional properties of flours from advanced genotypes and improved cassava varieties for industrial applications

description: The physicochemical parameters and functional properties of ten (10) improved cassava genotypes were evaluated to fast-track adaptable and preferred cassava genotypes for industrial use. The genotypes were collected from a multi-location (Uniform yield Trial) trial of the IITA breeding program in Malawi. Their flour samples were analysed for various physicochemical parameters and functional properties compared with currently marketed High-Quality Cassava Flour (HQCF). The data on starch and amylopectin content and functional properties, such as water and oil absorption capacities, solubility, and swelling power has potential in selection of genotypes with comparable/or superior functional properties to market HQCF.
DOI: 10.17632/f7r3stvcts.1
title: Data set on selected groundwater sources in Omuaran, Nigeria

description: The main focus of this data presentation is to describe the quality of drinking water in Omu-Aran, Kwara State. The water quality index was also employed as an important informational tool and was evaluated using Weighted Average Water Quality Index (WAWQI) to represent the groundwater quality in the study area using ten parameters namely pH, Turbidity, DO, Nitrite, Electrical Conductivity, Total Dissolved Solids, Total hardness, Chloride, Fluoride and Total Coliform. The drinking water quality index values range from 19.5 - 97.8 and from 31.7 – 201.7 for both dry and wet seasons respectively. WQI distribution of water samples throughout sampling period suggest that 64 % of water samples were of good quality, 20% of ground water samples were considered as excellent, 4 % fall under poor category while 12 % are classified as unsuitable for drinking.
DOI: 10.17632/cg9xw9m7gc.1
title: Lipid analysis of sweet potato sucrose gradient (amyloplast subcellular fractionation)

description: "5SwPot": Sweet potato roots (freeze-dried powder) were extracted from five different phenotypes (W-white, Y-yellow, O-orange, LP-yellow/purple, P-purple) and subjected to analysis by LC-MS/MS with a HILIC and C8 column. This allowed the separation of phospho- & galactosyl lipids and TAGs, respectively. Data was processed with Agilent Profinder. "Fractions": Sweet potato amyloplasts were extracted from two different phenotypes (O-orange, P-purple) and subcellular components separated with a sucrose gradient. The fractions were extracted with chloroform and analysed by LC-MS/MS with a HILIC and C8 column. This allowed the separation of phospho- & galactosyl lipids and TAGs, respectively. Data was processed with Agilent Profinder.
DOI: 10.17632/x3p7k89h57.1
title: Дубровин Илья. Расчеты по Диссертации

description: Calculation of ecological indicators based on sustainability reports of Gazprom, Lukoil, Rosneft
DOI: 10.17632/nwfxptmhm6.1
title: Data

description: Sharing data of 'THE RELATIONSHIP OF PROBLEMATIC GAMING WITH SMOKING AND IMPULSIVITY IN UNIVERSITY STUDENTS' study.
DOI: 10.17632/pjwzhw8s2x.1
title: Environmental Risk Factors and Their Different Effects in Depressive Symptoms of Left-behind Children in Rural China Compared with Non-left-behind Children

description: These data were obtained from a questionnaire regarding the relationship between environmental risk factors and depressive symptoms among Left-behind and Non-left-behind Children in Rural China.
DOI: 10.17632/2zpmkp6ywb.1
title: Квадра_2020

description: Данные и расчеты для Главы 3 магистерской диссертации на тему "Влияние методов оценки активов и обязательств в отчете о финансовом положении на решения пользователей"
DOI: 10.17632/ktzzsfvt79.2
title: Dataset for a cross-sectional study on the prevalence of urinary tract infections and antibiogram of uropathogens isolated from under-five children attending Bagamoyo district hospital in Tanzania - dataset

description: Urinary tract infection (UTI) is a common condition in children that recurs frequently. This study aimed to determine the prevalence of UTIs among under-five children attending Bagamoyo District hospital and its association with nutritional status. This data was from a cross-sectional study that enrolled 214 under-five children attending Bagamoyo district hospital in Tanzania. Midstream urine was collected in sterile conditions and bottles. Samples were transported to the laboratory at Muhimbili University of Health and Allied Sciences for analysis, isolation and bacteria identification. Bacteria were isolated using CLED agar, followed by identification using Gram staining, single iron agar test, sulfide-indole motility test, catalase and oxidase tests. A susceptibility test was done using the disc diffusion method. Anthropometric measurements were employed to assess malnutrition status and body mass index determined using each child's weight and height. Presented are underlining data (in Microsoft Excel format) containing the data from the questionnaire and laboratory analyses resulting from bacteria identification and antimicrobial susceptibility testing. The second file is the questionnaire with the questions that were used in to capture the demographic information. The data marked 'NA' implies that for these patients who were negative for urinary tract infection, the data was not available for the type of bacteria and other tests.
DOI: 10.17632/ktzzsfvt79.3
title: Dataset for a cross-sectional study on the prevalence of urinary tract infections and antibiogram of uropathogens isolated from under-five children attending Bagamoyo district hospital in Tanzania - dataset

description: Urinary tract infection (UTI) is a common condition in children that recurs frequently. This study aimed to determine the prevalence of UTIs among under-five children attending Bagamoyo District hospital and its association with nutritional status. This data was from a cross-sectional study that enrolled 214 under-five children attending Bagamoyo district hospital in Tanzania. Midstream urine was collected in sterile conditions and bottles. Samples were transported to the laboratory at Muhimbili University of Health and Allied Sciences for analysis, isolation and bacteria identification. Bacteria were isolated using CLED agar, followed by identification using Gram staining, single iron agar test, sulfide-indole motility test, catalase and oxidase tests. A susceptibility test was done using the disc diffusion method. Anthropometric measurements were employed to assess malnutrition status and body mass index determined using each child's weight and height. Presented are underlining data (in Microsoft Excel format) containing the data from the questionnaire and laboratory analyses resulting from bacteria identification and antimicrobial susceptibility testing. The second file is the questionnaire with the questions that were used in to capture the demographic information. The data marked 'NA' implies that for these patients who were negative for urinary tract infection, the data was not available for the type of bacteria and other tests.
DOI: 10.17632/5fwpg7wkmc.1
title: Covid online teaching in rural area

description: This data set contains some data used in the research. However, participants' recordings and transcriptions are not in the data set due to the privacy of the participants' information and some of them were very sensitive.
DOI: 10.17632/rrx9bsmyrv.1
title: DatasetsAP2-Oknockdown

description: The datasets presented here contain the mass spec and analysis conditions of proteomic data of the manuscript (pdf file). The originally measured qPCR deltaCt data are shown as Graphpad prism tables. Note that the "always on shield" analysis was done only once.
DOI: 10.17632/ddmp6pjwmd.1
title: AA Cannabis Supplement

description: Supplementary Materials: -STROBE Checklist -Document with all supplementary materials for study assessing cannabis use among patients with alopecia areata
DOI: 10.6084/m9.figshare.14604687
title: Testing GitHub and external data integration

description: testing how to combine git repo release with external data upload - now for figshare
DOI: 10.6084/m9.figshare.14604687.v4
title: Testing GitHub and external data integration

description: testing how to combine git repo release with external data upload - now for figshare
DOI: 10.17632/z28yhxjxnm.1
title: Selelah Okoth

description: The data included herein provides findings from a study on assessment of the level of awareness on premature end of life vehicles and their impacts among households and relevant public and private insititutions within Nairobi City County, Kenya. Data collection was done by developing data collection instruments in which case, semi-structured questionnaires were administered for households while key informant interviews were conducted for public and private insitituions. Stratified sampling was employed in dividing the whole study area with the strata being levels of income (high, medium and low). The fifteen estates which were picked for the study from the three strata were as follows; High income residential estates being Runda, Kileleshwa, Nyayo Embakasi, Ngong and South C; middle income residential estates being Race Course, South B, Buruburu, Utawala, Fedha and Kariokor; and low income residential estates being Kasarani, Umoja, Lucky Summer and Kariobangi. Systematic random sampling was then employed in the selection of households. The questionnaire was administered to 170 households in comliance with the defined income strata. In areas with high concentration of households, the questionnaire was adminsitered in every 10th household, while in sparsely populated areas, the questionnaire was administered in every 15th household.Interviews were conducted for 88 key informants from various institutions. These institutions were categorized by work they do namely; a) policy making institutions i.e. State Department of Environment and State Department of Transport; b) regulators i.e. National Environment Management Authority (NEMA), National Transport and Safety Authority (NTSA), Directorate of Occupational Safety and Health Services (DOSHS), County Government of Nairobi (Environment, Transport and Planning departments), and Traffic Police Department, and Matatu (public service vehicles) Owners Association. Collected data were entered into an MS Excel spreadsheet for cleaning and preparation. The statistical package used (SPSS V.26) was used to analyze the data. The key focus on households and key informants was their understanding of premature ELVs and their level of awareness on management of premature ELVs within the study area. Socio-demographic data particularly gender analysis and duration of stay for households as well as years of experience for key informants were obtained from the respondents. To test the statistical significance of the opinions of the key informants on their awareness of premature ELVs and their impacts, ANOVA test was conducted. A G-test of independence was conducted to test the statistical significance of the awareness level of institutions and households on the existing management mechanisms for premature ELVs. The variable with probability value p of less than 0.05 was considered significant and informed findings and conclusions that should support effective management of premature ELVs including policy actions.
DOI: 10.6084/m9.figshare.14604687.v3
title: Testing GitHub and external data integration

description: testing how to combine git repo release with external data upload - now for figshare
DOI: 10.17632/rrc8zh4h3w.2
title: Video Blogging_2020_speaking and SE

description: The students’ speaking performance were scored by two raters The students’ self-efficacy were acquired through an online survey The SPSS outputs were acquired by performing statistical analysis using SPSS program
DOI: 10.17632/s723cc7tcz.1
title: LINF_080005700

description: ATP-dependent DEAD/H RNA helicase; Leishmania infantum