cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7x3j882mw4
title: Data for: Landslide Susceptibility Index Based on the Integration of Logistic Regression and Weights of Evidence: A Case Study in Popayan, Colombia

description: In this repository are the native and processed (raster, shapefiles, csv) files used to calculate the landslide susceptibility. You can find the scripts in python 3x for each of the proposals analyzed in our research, as well as the ROC curves and the calculation of AUC. Spatial information is projected in the MAGNA-SIRGAS coordinate system EPSG 3116.
DOI: 10.17632/b9v6tsg3fh
title: Dataset - Atlantic salmon performance at different dissolved oxygen levels

description: This dataset details the zootechnical performance of Atlantic salmon (Salmo salar) reared under experimental conditions at three dissolved oxygen levels (50%, 60%, and 95% saturation).

Generated from two in vivo trials, the dataset includes:

- Daily and hourly measurements: dissolved oxygen, water temperature, salinity, number of fish, and feed intake.
- Sampling and laboratory data: fish weight, fork length, sex, organ weight, whole-body composition, tail, and opercular beat frequency.
- Zootechnical indicators: survival rate, weight gain, and feed conversion ratio.

Data at the group level was analyzed using ANOVA with post-hoc testing. 

The dataset comprises spreadsheets (.xlsx) and charts (.png). It is valuable for use in further analysis and modeling the effects of dissolved oxygen on salmon performance.
DOI: 10.17632/dvfttk9sb7
title: Albian (Lower Cretaceous) Carbon Chemozones Texas Comanche Shelf and Mexican Chihuahua Trough

description: The objectives are to 1) synthesize geochemical and biostratigraphic data of three Albian OAE chemozones in Texas and Mexico, and 2) to document carbon and oxygen isotopic excursions in basinal organic-rich deposits and in shallow-water deposits where organic-rich rocks are absent. Closely spaced limestone and shale samples from seven stratigraphic sections were integrated with biostratigraphy. Isotopic curves correlate the chemostratigraphic zones in Texas and Mexico with Albian zones globally. Deeper water organic-rich deposits are coeval with shallower carbonate facies, which leads to new understanding of oceanic conditions resulting in chemozones. Approximately 0.5 g-1 g of powdered carbonate or shale in 10 mL Exetainer vials were flushed with Helium for 10 minutes. Samples reacted with five drops of 105% H3PO4, at 25°C for 18 hours ensured complete reaction of CaCO3 and analyzed with a Finnigan DeltaPlus XP isotope ratio mass spectrometer with a Gasbench II continuous flow sample preparation analysis device. Carbon isotopes are related to the Vienna Pee Dee Belemnite (VPDB); oxygen data are related to the Vienna Standard Mean Ocean Water (VSMOW). Some samples were analyzed using the Delta V Advantage Isotope Ratio Mass Spectrometer (IRMS), University of Tulsa Geosciences Department. Samples were run in conjunction with international reference materials, including National Bureau of Standards-18 (NBS-18) and National Bureau of Standards-19 (NBS-19). Total inorganic carbon (TIC) analyses were performed by Humble Geochemical Services, Houston, using a Leco carbon-sulfur analyzer. The 0.5 g of powder for TIC data were performed by the University of Arkansas Stable Isotope Laboratory, Fayetteville, Arkansas. To determine the quantity of organically bound carbon, organic molecules were broken down to single carbon units and converted to single molecular form. Total organic carbon wt % (TOC) concentrations were obtained by subtracting TIC from total carbon (TC). Albian Chemozones OAE 1b, 1c, and 1d are documented on the Texas Comanche Shelf, in the Mexican Chihuahua Trough and on the Mexican Sonoran Shelf. These units in the proto-Gulf of Mexico supports the hypothesis that oceanic low-oxygen water masses were widespread and organic-rich mudstones were deposited in cratonic basins as well as in oceanic basins; also, carbon isotope excursions incurred in shallow-water environments. Diverse biostratigraphic zones show that each of the three isotopic excursions correlate with OAE 1b, 1c and 1d. The low-oxygen water masses were as deep as at least 300 m on the forereef slope and in intrashelf basins where organic-rich deposits accumulated. In contrast on the shallow Comanchean and Sonoran shelves above the depth of storm wave-base nutrient-rich waters fostered organic buildups that recorded positive carbon isotope excursions in the absence of organic-rich shales.
DOI: 10.17632/kkwgfvmtxn
title: Last-mile delivery route deviations dataset: planned vs. actual routes

description: Logistics companies use specialized optimization algorithms to plan delivery routes that minimize costs and distances. However, drivers frequently deviate from these planned routes based on their knowledge.

Dataset Overview: The dataset tracks last-mile delivery routes across two countries for a logistics company, given the planned stop sequence generated by routing software with the actual sequence followed by drivers. Each route also includes driver identification, arrival information, time windows, and distances between stops in planned and actual routes. Multiple stops may share the same location. Time values are encoded as differences from the earliest timestep in each route. Distances between stops are calculated using the Haversine formula.
DOI: 10.6084/m9.figshare.12115761.v1
title: meta-data documentation V 1.0 - Economical Assessment of Working Memory and Response Inhibition in ADHD

description: This study aims to validate a combined <i>n</i>-back/nogo paradigm by comparing it to single task versions and to demonstrate its applicability for ADHD research. Twenty-five healthy individuals and 34 ADHD patients between 9 and 16 years participated in this ERP study. Healthy controls underwent single task versions of a 2-back working memory task and a go/nogo response inhibition task as well as the introduced combined 2-back/nogo task.<br>This file contains a description of the data and paradigms.<br>
DOI: 10.6084/m9.figshare.4294085.v1
title: data_anthro_for deposit.pdf

description: The WHO standards are available on the website of WHO (http://www.who.int/childgrowth/en/). You find there the software Anthro2005 for calculation of individual data (Anthro2005). For calculating the z-scores of the new standards the LMS procedure is used. The principle is to get from a table for a certain age and sex 3 values (LMS) which are put into a formula For example WAZ = ((weight/M)^L-1)/(L*S)) e.g.: Female, 9kg, 365 days =&gt; L = -0.2022, M = 8.9462, S = 0.12267 WAZ = ((9/M)^L-1)/(L*S) = ((9/8.9462)^-0.2022-1)/(-0.2022*0.12267) = 0.04885 Z-scores On the WHO website you find only the LMS values for each month. Wt L M S 9 -0.2022 8.9462 0.12267 0.048847178 To calculate the actual weight from the LSM statistics at any cut off point use the following formula: wt = M * ((Z * S * L) +1)^(1/L)Where Z = Zscore you are trying to obtainThis is the reverse of the formula to calculate WAZ etc.And will give the standard to more decimal places for interpolation [purposesI have taken 10 boys and 10 girls at 0.5 cm intervals from 60 to 110cm in height with weight for height mean at -1Z with SD or 1.0. These are in the sheet WFH_Population. For the simulation I have now added a random variable to the weight or the height in the POP_weight and the POP_height sheets.
DOI: 10.6084/m9.figshare.17195009.v2
title: Vegetation photosynthetic phenology metrics in northern terrestrial ecosystems: a dataset derived from a gross primary productivity product based on solar-induced chlorophyll fluorescence

description: Data description：<br>This product provides annual (2001-2020) 0.05 degree vegetation photosynthetic phenology (i.e., start of season-SOS; end of season-EOS; length of season-LOS) in terrestrial ecosystems of the Northern Hemisphere. The files includes two types: first growing season in ecosystems of the single and the double growing season; second growing season in ecosystems of the double growing season.<br>In each rar file, it includes SOS or EOS or LOS of every year (format: nc, NetCDF). In each nc file, including:Phenology metrics with 10% threshold;5th percentile phenology metrics with 10% threshold;<br>95th percentile phenology metrics with 10% threshold;<br>Phenology metrics with 25% threshold;5th percentile phenology metrics with 25% threshold;<br>95th percentile phenology metrics with 25% threshold;Phenology metrics with 50% threshold;5th percentile phenology metrics with 50% threshold;<br>95th percentile phenology metrics with 50% threshold.<br>Any questions about this data can be corresponded to Dr. Jing Fang (jingfang@mail.bnu.edu.cn)<br><br><br>
DOI: 10.6084/m9.figshare.19189910.v1
title: raw data

description: for data availability
DOI: 10.6084/m9.figshare.21966983.v1
title: Dataset S1-S33

description: Conserved reduction of m6A marks during aging and neurodegeneration is linked to altered translation of synaptic transcripts. <br> Supplementary tables S1 to S33.
DOI: 10.6084/m9.figshare.7887230.v1
title: snpEffectPredictor.bin

description: SnpEff binary reference for H37Rv NC_000962 genome.
DOI: 10.17632/g5yn28myjb
title: Ketogenic diet (but not sugar restriction) alters glucose tolerance, lipid metabolism, peripheral tissue phenotype and the gut microbiome: an RCT.

description: This aim of this study was to investigate how dietary sugar and carbohydrates influence metabolism and health across a 12-week period, with a focus on physical activity. One third of participants will eat a diet with typical amounts of sugar and carbohydrate, one third of participants will eat a diet with sugar intake restricted, and the final third of participants will eat a diet where both sugar and total carbohydrates are restricted and replaced with fat.

To achieve this, healthy non-obese adults, aged 18-65 years were recruited to take part in an intervention study with measures of energy intake, energy expenditure, metabolic health, gut microbiota, and appetite. All laboratory trials took place at the University of Bath. Participants were be randomised to consume one of three diets for a period of 12 weeks, with laboratory visits at baseline, at week 4, and at week 12:

CONTROL (moderate sugar) - reflecting the composition of a typical European diet
Low sugar - the same composition of a typical European diet but with &lt;5% energy intake from sugar
Low carbohydrate - low carbohydrate diet with &lt;5% energy intake from sugar, replacing carbohydrate energy with fat

The dataset includes demographic data of the participants (n=60) randomised and data from the trials they participated in. The types of data that were collected during the trials are as follows:
Age
Height
Body mass
Body composition (by Dual-energy x-ray absorptiometry)
Resting metabolic rate
Postprandial substrate oxidation
Exercise metabolism
Physical activity energy expenditure
Fasting and postprandial concentrations of circulating metabolites (e.g., glucose, lactate triacylglycerol) and hormones (e.g. insulin, C-peptide)
Nuclear magnetic resonance spectroscopy measures of plasma (e.g., lipoprotein size and particle number)
Skeletal muscle protein levels
Adipose tissue mRNA levels
Fasting haemotology (e.g., white blood cell count, haematocrit, haemoglobin concentration)
Urinary acetoacetate concentrations
Self-reported macronutrient and energy intake
Calculated change in energy intake
Visual analogue scales for appetite and mood
Continuous glucose monitoring
DOI: 10.6084/m9.figshare.14285313.v1
title: INFLUENCE OF DIABETIC NEUROPATHY ON GAIT COMPLEXITY

description: ABSTRACT Introduction: Human gait is a complex movement dependent on multilevel neural control, which allows a consistent, regular and complex periodic pattern, properties that characterize it as a nonlinear system. Sensory and motor deficits, with diminished proprioceptive responses, may reduce the adaptive capacity of the system, as demonstrated in Parkinson's, Alzheimer's and Huntington's diseases. However, little is known about the effect of peripheral diabetic neuropathy on these responses. Objectives: To analyze the influence of peripheral diabetic neuropathy on entropy in different gait environments. Methods: Ten elderly patients, with and without a diagnosis of peripheral diabetic neuropathy, walked on a treadmill (initial speed of 3 km/h, with 0.5 km/h increments every 5 minutes up to the speed of 5 km/h) to record center of mass acceleration in the vertical, mediolateral and anteroposterior components throughout the test. The sample entropy of the three vectors was calculated for each test speed. Results: The vertical component did not show any statistically significant differences. The mediolateral component showed statistically significant difference for the factors group, speed, and interaction between factors (group and speed). The anteroposterior component showed statistically significant differences for the group factor, but not for speed and interaction between factors (group and speed). Effect sizes classified as large were found in all the comparisons. Conclusions: Peripheral diabetic neuropathy produced changes in the ability to adapt to changes in the environment during gait, probably due to changes in the complexity of the multilevel neural control system, which depends on motor and sensory feedback, known to be affected by peripheral diabetic neuropathy. Level of Evidence II; Diagnostic studies - Investigating a diagnostic test.
DOI: 10.17632/2hj6jf78bv
title: Development of efficient models of artificial intelligence for autonomous decision making in dynamic information systems

description: Development of efficient models of artificial intelligence for autonomous decision making in dynamic information systems
Elvir Čajić, phd candidate European University Kallos Tuzla, Bosnia and Herzegovina, ecajic86@gmail.com, correspoding author
Sead Rešić , European University Kallos Tuzla, Bosnia and Herzegovina, sresic@gmail.com
Msc Rame Elezaj ,Busniess Faculty University Haxhi Zeka, Peja Kosovo Republic, rame.elezaj@hotmail.com
Summary: This research paper focuses on the development of efficient artificial intelligence models for autonomous decision-making in dynamic information systems. Using innovative approaches in data analysis and algorithm optimization, we explore ways to improve model performance in dynamic environments. The results of this research can provide a deeper understanding of how artificial intelligence can operate effectively in real time, thus opening up new perspectives for application in different industries. The research includes the implementation of advanced machine learning techniques, as well as the analysis of adaptive models that can adapt to changes in the environment. Key attention is devoted to the optimization of resources in order to ensure quick and precise decision-making in dynamic situations. In addition, the work addresses the integration of the model with high-performance sensors to improve the system's ability to gather relevant information for decision-making. Through this interdisciplinary analysis, we aim to contribute to the development of intelligent systems that can autonomously react to changes and unforeseen situations in real time.
Keywords: Artificial intelligence, autonomous decision making, dynamic information systems, decision models, efficiency.
DOI: 10.17632/p6hcnk5twy
title: Corporate Tax Rates as Signals to Foreign Investors

description: Replication package for the paper "Corporate Tax Rates as Signals to Foreign Investors." 
Our research hypothesis behind the estimations is that the CEE countries were sending signals of their favorable investment conditions to foreign firms through low tax rates. Specifically, we focus on the relationship between investment returns and tax rates.
DOI: 10.17632/whbzr368zx
title: Data for: The evolution of city-scale GHG emissions inventory methods: a systematic review
DOI: 10.6084/m9.figshare.27362247.v1
title: <b>Multilingualism and Working Memory Capacity: Assessing Cognitive Function Across Diverse Linguistic Groups</b>- Data

description: This study investigated the interaction between multilingualism and working memory (WM) capacity in language processing among individuals proficient in languages from diverse linguistic families. While previous research has focused on multilingual participants within the same linguistic group, our study explored how WM differs in individuals whose native language is from the Afro-Asiatic family and whose second and third languages are from the Indo-European group. Thirty Moroccan college students, all native speakers of Darija, participated. They had varying proficiencies in French and English. Participants' WM capacities were assessed using Forward Digit Span (FDS) and Backward Digit Span (BDS) tasks administered in Darija, French, and English. Our Results revealed that Darija demonstrated significantly higher WM capacity compared to French and English, with the most pronounced differences in the BDS task. These findings emphasize the importance of considering linguistic diversity when examining WM capacity in multilingual individuals.
DOI: 10.17632/bjttbkg8fs
title: Rotation-vibration eigenvalues and vectors

description: Abstract We describe a method for obtaining the bound ro-vibrational states of polyatomic molecules through the expansion of the potential in terms of appropriate functions of internal coordinates. Using this method, the calculation of potential matrix elements in greatly simplified and the algorithm is ideally suited to the vector machine like Cray. Programs for potential matrix calculation and matrix diagonalization are given with the results of a test run. Title of program: SLEIGC Catalogue Id: ABDT_v1_0 Nature of problem This routine finds the lowest eigenvalues and their associated eigenvectors of very large matrices. Versions of this program held in the CPC repository in Mendeley Data ABDT_v1_0; SLEIGC; 10.1016/0010-4655(88)90071-9 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.7700072.v1
title: Code and data for "Entropic uncertainty relations for information scrambling"

description: Numerical simulation code and data for the paper: Reconciling two notions of quantum operator disagreement: Entropic uncertainty relations and information scrambling, united through quasiprobabilities [1806.04147]<br> The Python file simulationTools.py contains a collection of tools for simulating and visualizing the behavior of spin chains. This file is used by the other Python scripts and Jupyter notebooks.<br> examples.ipynb is a convenient Jupyter notebook interface for using simulationTools.py. The Jupyter notebook starts with a guided example demonstrating the use of simulationTools.py for simulating the evolution of a spin chain and visualizing the various quantities of interest. The notebook also contains multiple examples with pre-specified parameter choices that produce interesting behavior. It should be cautioned that examples involving fine-grained projectors can take several hours to run, depending on the type of computer and number of workers.<br> create_weak_data.py and create_strong_data.py generate the datasets used in the paper. These scripts simulate the behavior of a Power-law Quantum Ising Model in the weak-coupling regime with coarse-grained projectors and the strong-coupling regime with fine-grained projectors, respectively. The create_strong_data.py script will take up to a week to run unless shared across multiple machines.<br> The zip files weak_data.zip and strong_data.zip contain the datasets produced by create_weak_data.py and create_strong_data.py, respectively.<br> The Jupyter notebooks visualize-weak.ipynb and visualize-strong.ipynb visualize the datasets in weak_data/ and strong_data/, respectively. The plots generated in these notebooks are the same as the ones used in the paper.
DOI: 10.17632/wy5ytmr2g5
title: Protective effect of epigallocatechin-3-gallate (EGCG) on toxic metalloproteinases-mediated skin damage induced by Scyphozoan jellyfish envenomation

description: Jellyfish stingings are currently raising serious public health concerns around the world. Therefore, the search of novel first-aid reagent suitable for envenomations from wide ranging stinging jellyfish species has become important. Previous in vitro and in vivo reports demonstrated that the metalloproteinase activity of N. Nomurai venom (NnV) was the major contributor to envenomation pathology. Therefore, metalloproteinase inhibitors make a promising candidate for the treatment of Scyphozoan jellyfish envenomation. Plant polyphenols have shown potential as treatments for neutralizing snake venoms and toxins. The major polyphenol component in green tea, Epigallocatechin-3-gallate (EGCG), has demonstrated previously metalloproteinase inhibition and we explore its potential as a NnV treatment. We show that EGCG inhibits the proteolytic activity of NnV as demonstrated by gelatin zymography. EGCG reduced NnV-induced cell death of HaCaT and HDF cells combined with their secretions of human matrix metalloproteinase (MMP)-2 and -9. Simulated rat NnV envenomation study showed that topical treatments with EGCG significantly ameliorated the progression of the dermonecrotic lesion typically induced by NnV. EGCG also reduced the activities of tissue MMP-2 and MMP-9, which play crucial role in pathogenesis of NnV. Therefore, we proposed that EGCG might be an effective therapeutic agent for the treatment of cutaneoous jellyfish symptoms.
DOI: 10.6084/m9.figshare.28876946.v1
title: <b>食用菌的物种多样性 </b><b>II.–</b><b><i> </i></b><b><i>Lyophyllum aurantiacus sp. nov.</i></b><b> </b><b>（</b><b><i>Lyophyllaceae</i></b><b>， </b><b><i>Agaricales</i></b><b>）， 来自中国云南</b>

description: 新种<i>Lyophyllum</i> （<i>Basidiomycota</i>， <i>Agaricomycetes</i>） <i>Lyophyllum aurantiacus sp. nov.</i>，是来自中国云南省的集合，基于形态学和多基因系统发育分析。
DOI: 10.17632/56rkm6mswh
title: A Reversal in the Global Decline of the Labor Share

description: This is the data set used in the paper "A Reversal in the Global Decline of the Labor Share?" by Selen Andic and Michael C. Burda (2021), forthcoming article in the Economics Letters. The data set includes 124 countries and spans the period 1980-2017. It is constructed using publicly available data from AMECO, IMF, OECD and PWT 9.1.
DOI: 10.6084/m9.figshare.20375394.v2
title: Annual dynamic dataset of global land surface phenology from AVHRR data using multiple phenology retrieval methods for the period 1982 to 2018

description: We retrieved the global SOS, maturity, senescence, and EOS from 1982 to 2018 using four common phenology retrieving methods based on long time series of AVHRR observations, considering multiple vegetation growing seasons in a year.
DOI: 10.6084/m9.figshare.24156378.v1
title: flair.nii.gz

description: Sri image<br>
DOI: 10.6084/m9.figshare.28355990.v1
title: dataset-solar Panel

description: dataset-solar Panel
DOI: 10.6084/m9.figshare.4983311.v3
title: PyGBe on Localized Surface Plasmon Resonance (LSPR)

description: This file set includes three Jupyter notebooks with a summary of the preliminary results of Localized surface plasmon resonance applications obtained using PyGBe. <br><br>It also contains the figures and css style to load the notebooks properly when they are download. <br><br>The links below are:<br><br>* The github repository of the notebook's. <br>* The rendered version of the three notebooks in NBviewer<br>* The github repository of the Python library PyGBe. <br>
DOI: 10.17632/hx8c442r7k
title: MINUTO 10: Una alternativa de educativa peruana para la enseñanza de la comunicación y desarrollo de la comprensión lectora

description: Estrategia para la mejora de la capacidad lectora en la Región Tacna, Perú.