cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7x93t5hv6p
title: Mucosal Flap Reinforced Colorectal Anastomosis and Trans-Anal Vacuum Drainage

description: Dehiscence of colorectal anastomosis is a serious complication that is associated with increased mortality, impaired functional and oncological outcomes. The hypothesis was that anastomosis reinforcement and vacuum trans-anal drainage could eliminate some risk factors, such as mechanically stapled anastomosis instability and local infection. Patients with rectal cancer within 10 cm of the anal verge and low anterior resection with double-stapled technique were included consecutively. A stapler anastomosis was supplemented by trans-anal reinforcement and vacuum drainage using a povidone-iodine-soaked sponge. Modified reinforcement using a circular mucosal flap was developed and used. Patients were followed up by postoperative endoscopy and outcomes were acute leak rate, morbidity, and diversion rate. The procedure was successfully completed in 52 from 54 patients during the time period January 2019 – October 2020. The mean age of patients was 61 years (range, 54-69 years). There were 38/52 (73%) males and 14/52 (27%) females; the neoadjuvant radiotherapy was indicated in a group of patients in 24/52 (46%). The level of anastomosis was 4 cm (range, 3.00-4.88 cm). The overall morbidity was 32% (17/52) and Clavien-Dindo complications ≥ 3 grade appeared in 3/52 (5,7%) patients. No loss of anastomosis was recorded and no patient died postoperatively. The acute leak (AL) was recorded in one patient 1/52 (1.9%) and diversion ileostomy was created in 1/52 patient (1.9%), respectively. Reinforcement of double-stapled anastomosis using a circular mucosal flap with a combination of vacuum povidone-iodine-soaked sponge drainage led to a low acute leak and diversion rate. This pilot study requires further investigation.
DOI: 10.17632/t4y5wds856
title: MSTor 2023: A new version of the computer code for multistructural torsional anharmonicity, now with automatic torsional identification using redundant internal coordinates

description: The MSTor program is a computer program for calculating partition functions and thermodynamic functions of complex gas-phase molecules with multiple torsions; the multi-structural approximation with torsional anharmonicity (MS-T) can be used based on either a coupled torsional potential or an uncoupled torsional potential. The program can also carry out calculations in the multiple-structure local harmonic (MS-LH) approximation or multi-structural local quasiharmonic (MS-LQ) approximation or by the dual-level MS-T method. Furthermore, the program package includes eight utility codes that can be used as stand-alone programs to help the user to generate the input files for the code or to generate comparison results. The 2023 version of MSTor includes a new capability, namely automatic identification of torsional modes with redundant internal coordinates.

The previous version of this program (AEMF_v2_0) may be found at https://doi.org/10.1016/j.cpc.2013.03.011.
DOI: 10.17632/2k98s7gwng
title: Pollen records from SW Iberian Margin spanning last 28 ka from cores SHAK06-5K and MD01-2444.

description: High-resolution pollen records (pollen percentages, pollen concentration, and pollen accumulation rate) from two SW Iberian Margin cores (SHAK06-5K and MD01-2444) spanning last 28 ka. Records span the Last Glacial Maximum and Holocene and show vegetation changes during Heinrich Stadials 1&2, the Bølling–Allerød, and the Younger Dryas. 

Published in: Cutmore et al., 2022. Abrupt intrinsic and extrinsic responses of southwestern Iberian vegetation to millennial-scale variability over the past 28 k. JQS, 37, 420-440.

Age model included, based on high-resolution radiocarbon dates of monospecific samples of the planktonic foraminifera Globigerina bulloides, measured from SHAK06-5K and MD01-2444 and aligned using an automated stratigraphical alignment method, as published in Cutmore et al., 2022, JQS.
DOI: 10.17632/znns9msdx6
title: Data on Growth, Productivity, Pigments and Proximate Composition of Indigenous Marine Microalgae Isolated from Cox’s Bazar Coast

description: Raw Data on growth, productivity, pigments and proximate of microalgae
DOI: 10.17632/3cg53w58zv
title: Time-Varying Exchange Rate Pass-Through into Terms of Trade

description: Online appendix and replication files for the publication titled Time-Varying Exchange Rate Pass-Through into Terms of Trade, Journal of International Money and Finance.
DOI: 10.17632/77rgm37fwz
title: Data for: Regular crabmeat consumers do not show increased urinary cadmium or beta-2-microglobulin levels compared to non-crabmeat consumers.

description: The seafood questionnaire and calculation of cadmium intakes from this
DOI: 10.17632/83jfgpjpy4
title: latihan

description: ini data bukan beneran tapi ini hanya latihan upload saja di mendeley
DOI: 10.17632/pxnzgdz287
title: Game User Experience Satisfaction Scale Applied in Turkish

description: 449 responses are collected as the evaluation of 6 different games from 121 undergraduate students in the game design field participated in the gameplay sessions for evaluating games using the Turkish version of GUESS (Game User Experience Satisfaction Scale), which is translated through a series of back-translation and expert evaluation steps.
DOI: 10.17632/ffffhxnjmc
title: Anchor borrower programmes 

description: This datasets consists of research works on anchor borrower outgrower's programmes in Nigerian poultry farming in 2021.
DOI: 10.17632/96xdvzzg8h
title: Data for: Long-Term Skid Resistance of Asphalt Surfacings and Aggregates’ Mineralogical Composition: Generalisation to Pavements made of Different Aggregate Types

description: The raw data here are used to calculate the AHPM (“Averaged Aggregate Hardness Parameter”) parameters of pavement surfaces and to determine their capacity of skid resistance in the long term. They are composed by : • the type of aggregates and their proportions by volume in each pavement, • the calculated of the Aggregate Hardness Parameter (AHP) and • the determined AHP of each of the pavements. After the calculation of this parameter and with the help of analytical functions that we recall below, the skid Resistance capacity of that asphalt su, facing in the long term will be deduced. This long-term skid resistance value corresponds to that determined in the test with the Wehner Shulz machine.
DOI: 10.17632/gcdckhx3pt
title: Saline Wastewater Treatment Plant Data

description: RAW data of process data and sequencing results from North Water's SWWTP that is used in the article of 'NGS-enriched activated sludge modelling of industrial wastewater treatment plant'. In the article, these datasets will be interpolated to achieve a more complete dataset (daily dataset).
DOI: 10.17632/gwpms6k9y5
title: Stock price movement prediction: Data from Vietnam

description: Data is collected from 7/2000 to 7/2021, a daily period, including 30 stocks in the VN30 portfolio, VN-Index, and a 1-month government bond yield. Data in the form of panel data consists of 13 columns and 18,516 rows.
DOI: 10.17632/69529js9vr
title: SESUP: Testing tool for state estimation algorithms for systems with uncertain parameters

description: SESUP is the application created to demonstrate the novel algorithms that reduce the prediction error sensitivity to parameters in Kalman filter. The application allows the user to test the exact desensitized Kalman filter algorithms and the state-of-the-art state estimation algorithms for systems with uncertain parameters. The algorithms are tested using Monte Carlo simulations. The application includes predefined example system.
DOI: 10.17632/6n7p3y3j58
title: ECOCAPTURE Dataset - Behavioral coding from video - 23 bvFTD and 24 HC - 28.11.2022

description: This dataset consists of neuropsychological data and ECOCAPTURE behavioral metrics (two Excel files) as well as the R code in order to reproduce the results.

The behavior of 23 bvFTD patients and 24 HCs was observed, and the behavioral data were collected based on the ECOCAPTURE Disinhibition ethogram and apathy ethogram, throughout the 45-minute ECOCAPTURE protocol, and three sample sessions: 7-minute FP, 7-minute GP, 3-minute GP. 

Behavioral metrics were obtained by behavioral coding from 45-minute video footage for each individual.
These behavioral coding data were collected through the continuous sampling method (all occurrences of behaviors were recorded) using NOLDUS The Observer XT (Version 14.0) [1], and based on the ECOCAPTURE disinhibition ethogram as well as the ECOCAPTURE apathy ethogram [2].


[1]  Behavioral coding - Event logging software | The Observer XT. Accessed April 10, 2022. https://www.noldus.com/observer-xt
[2] Batrancourt, Bénédicte; Migliaccio, Raffaella (Lara); Tanguy, Delphine; Sezer, Idil; Godefroy, Valerie; Bouzigues, Arabella (2022), “The ECOCAPTURE ethograms: apathy ethogram and disinhibition ethogram”, Mendeley Data, V2, doi: 10.17632/mv8hndcd95.2
DOI: 10.6084/m9.figshare.1222974.v1
title: Parameterization of a Stochastic Model of Gene Expression from Adaptive Imaging Cytometry Data

description: Supplementary material to a manuscript under review. The manuscript can be downloaded from the link below. <strong>Abstract</strong> Recent decades have yielded an understanding of cellular behavior as arising from a complicated soup of noisy molecular interactions. Systems biologists use this perspective to build models to explain cellular behavior, while synthetic biologists attempt to forward engineer novel function in this complex environment. It is well known that some cellular behaviors can be explained only when the stochasticity of the underlying molecular dynamics are considered; however, models that capture this molecular noise are exceedingly difficult to construct. First, current datasets typically do not capture time courses of individual cells and rely on fluorescent reporters that do not detail the dynamics of underlying components, such as mRNA. Second, matching stochastic models to single-cell data is far more difficult than matching deterministic models to population averages. In this work, we addressed both of these concerns by using a novel instrument based on time-lapse microscopy and by applying a distribution-based method to assess the match between model and data. We demonstrate our model’s ability to match our experimental data in detail, and then use the model to successfully predict the behavior of a modified system. Our approach should lead to more predictive models of simple genetic systems in both systems and synthetic biology.
DOI: 10.17632/4h98rz9f92
title: Dataset on Graphite nanoplatelet enhanced HDPE composites: An ensemble machine learning approach tensile modulus, hardness and toughness

description: Our research hypothesizes that an ensemble machine learning approach can effectively predict key response variables in polymer composites: tensile modulus, toughness, and hardness. Using a Random Forest regressor, robust to outliers and data distribution, we conducted predictive modeling with hyperparameter tuning via Grid Search CV and Random Search CV. The response variables were categorized into high, medium, and low classes based on quartile distributions, with rules derived using a Decision Tree classifier. The model demonstrated high predictive accuracy, validating our hypothesis. The derived rules provide actionable insights or material optimization. This study's comprehensive dataset and analysis methods lay a solid foundation for future research in polymer composites. These insights can aid in developing high-grade polymer products, optimizing resources, and fostering innovation, significantly impacting the polymer industry.
DOI: 10.17632/k2wk9fvz4d
title: Get AQI in One Shot-5 (GAOs-5)

description: Get AQI in One Shot-5 (GAOs-5)
DOI: 10.17632/kndyrv2rpr
title: Multi-color super-resolution imaging to study human coronavirus RNA during cellular infection. Wang et al

description: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the third human coronavirus within 20 years that gave rise to a life-threatening disease and the first to reach pandemic spread. To make therapeutic headway against current and future coronaviruses, the biology of coronavirus RNA during infection must be precisely understood. Here, we present a robust and generalizable framework combining high-throughput confocal and super-resolution microscopy imaging to study coronavirus infection at the nanoscale. Employing the model human coronavirus HCoV-229E, we specifically labeled coronavirus genomic RNA (gRNA) and double-stranded RNA (dsRNA) via multicolor RNA-immunoFISH and visualized their localization patterns within the cell. The exquisite resolution of our approach uncovers a striking spatial organization of gRNA and dsRNA into three distinct structures and enables quantitative characterization of the status of the infection after antiviral drug treatment. Our approach provides a comprehensive framework that supports investigations of coronavirus fundamental biology and therapeutic effects.
DOI: 10.17632/wdbm9srwn7
title: Kathakali Mudras

description: This is a data set with 659 images of Kathakali hand gestures. There are 24 classes of images. This dataset has been generated from scratch to apply deep learning principles for classifying Kathakali hand gestures.
DOI: 10.17632/gz688t3rsd
title: DVR3D: programs for fully pointwise calculation of vibrational spectra

description: Abstract DVR3D calculates rotationless (J=0) vibrational energy levels and wavefunctions for triatomic systems using scattering (Jacobi) coordinates, or optionally unsymmetrised Radau coordinates, for a given potential energy surface. The program uses a discrete variable representation (DVR) based on Gauss-Legendre and Gauss-Laguerre quadrature for all 3 internal coordinates and thus yields a fully pointwise representation of the wavefunctions. Successive diagonalisation and truncation is implemented ... Title of program: DVR3D Catalogue Id: ACNE_v1_0 Nature of problem DVR3D calculates the bound vibrational or Coriolis decoupled ro- vibrational states of a triatomic system in body-fixed Jacobi (scattering) or Radau coordinates coordinates [1]. Versions of this program held in the CPC repository in Mendeley Data acne_v1_0; DVR3D; 10.1016/0010-4655(93)90050-M acne_v2_0; DVR3DRJ; 10.1016/0010-4655(94)00139-S acne_v3_0; DVR3DRJZ; 10.1016/j.cpc.2003.10.003 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.795273.v1
title: FM and frequency statistics of songbird sound recordings

description: The tables in this data set contain statistics summarising the audio content of songbird sound recordings. The statistics concern the frequencies present, and the FM (frequency modulation) present. Each row represents an audio file (named in "filename" column) labelled as a particular bird species ("species" column). All the other columns are automatically-measured statistics, described in a forthcoming paper. The original audio comes from: * The Animal Sound Archive in Berlin (where "ASA" is in the csv filename) * The Xeno Canto web archive (where "XC" is in the csv filename). In this latter case, the audio files can be retrieved from http://xeno-canto.org/ using their Xeno Canto ID number, which is reflected in the "filename" column of the csv data.
DOI: 10.17632/2zkbbt6ssb
title: Dataset about trade sanctions news on Russia

description: All available headlines news for the period from January 1, 2014 to January 31, 2022 were selected by the "Russia + Trade Sanctions" tags among publications accredited by Bloomberg. Being a professional financial information provider, Bloomberg does not provide tools for long-term, more than 3 months, analysis of its news. We had to make 941 screenshots and then digitize them to carry out this analysis for the period from January 1, 2014 to January 31, 2022. As a result, we analyzed 19636 news items.
DOI: 10.17632/5ph8ms8p5n
title: Multi-platform optical remote sensing dataset for target detection

description: We present the acquisition of a first-of-its-kind high-resolution multi-platform (ground, airborne, and space-borne) remote sensing-based benchmark dataset for target detection studies. The dataset includes imagery acquired from terrestrial hyperspectral imager (THI), airborne hyperspectral sensor (AVIRIS-NG), and space-borne multi-spectral (Sentinel-2) sensor. Five engineered targets of different materials and colours were placed on different surface backgrounds. Besides, in-situ reflectance spectra of the targets were also acquired using a spectroradiometer for serving as a spectral reference source. The airborne and space-borne imagery were processed to remove un-calibrated/noisy bands and were atmospherically corrected using a radiative transfer method based Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) model. The in-situ target reflectance spectra were resampled to spectrally match with airborne and space-borne imagery. Further, a target region of interest (ROI) was designated for each of the targets in both airborne and space-borne imagery using the known ground position of targets using a GPS device. This article provides a ground to space integrated target detection dataset, including ground positions ROI of the targets, point, and pixel-based in-situ target reference spectra, and the processed airborne and space-borne imagery to make the dataset ready for use. The data acquired in this experiment is an attempt to assess the potential of engineered material target detection in a multi-scale multi-platform view setup. The dataset is a valuable resource for testing and validation of target detection algorithms from various strategic and civilian application perspectives of remote sensing.
DOI: 10.17632/pywtkcnbwt
title: Genetic regulation of FGL2 by rs73375428 and its impact on microglial Aβ clearance in Alzheimer's Disease

description: Original western blots
DOI: 10.17632/wsss65c885
title: Multidimensional Dataset Of Food Security And Nutrition In Cauca.

description: A multidimensional dataset created for the department of Cauca based on public data sources is published. The dataset integrates the 4 FAO food security dimensions: physical availability of food, economic and physical access to food, food utilization, and the sustainability of the dimensions mentioned above. It also allows analysis of different variables such as nutritional, socioeconomic, climatic, sociodemographic, among others with statistical techniques or temporal analysis. The dataset can also be used for analysis and extraction of characteristics with computer vision techniques from satellite images, or multimodal machine learning with data of a different nature (images and tabular data).

The dataset Contains the folders:
- Multidimensional dataset of Cauca/: Here are the tabular data of the municipalities of the department of Cauca. The folder contains the files:
1.  dictionary(English).xlsx: The dictionary of the static variables for each municipality of Cauca in english.
2.  dictionary(Español): The dictionary of the static variables for each municipality of Cauca in spanish.
3.  dictionary(English).xlsx: The dictionary of the static variables for each municipality of Cauca in english.
4.  MultidimensionalDataset_AllMunicipalities.csv: Nutritional, climatic, sociodemographic, socioeconomic and agricultural data of the 42 municipalities of the department of Cauca, although with some null values due to the lack of data in nutrition surveys of some municipalities.
- Satellite Images Popayán/: Here are the monthly Landsat 8 satellite images of the municipality of Popayán in Cauca. The folder contains the folders:
1. RGB/: Contains the RGB images of the municipality of Popayán in the department of Cauca. It contains RGB images of Popayán from April 2013 to December 2020 in a resolution of 15 m / px. The title of each image is image year_month.png. 
1. 6 Band Images/: Contains images of Landsat 8 using bands 1 to 8 to generate images of the municipality of Popayán in the department of Cauca. It contains 6 band images in a tif format of Popayán from April 2013 to December 2020 in a resolution of 15 m / px. The title of each image is image year_month.tif.
DOI: 10.17632/8dtp5twpds
title: Complementary and alternative medicine use by Bangladeshi adult patients with diabetes and hypertension: A multicenter study

description: The study observed a high prevalence of CAM users among patients with hypertension and diabetes. The most common CAM modalities were homeopathy, ayurveda and unani medicine. The findings suggest future directions for research and have practical implications for chronic disease treatment.
DOI: 10.17632/csyjpb57w5
title: Data for: Cysteine enhances the content of bioactive compounds in fresh-cut red beet

description: Data statement of research paper "Cysteine enhances the content of bioactive compounds in fresh-cut red beet".
DOI: 10.17632/rvc6b2cg3c
title: Texture measurement of butter available on the Polish market

description: The data was obtained by analyzing butters available on the Polish market. Based on the manufacturer's data, the following information was entered: taste, ingredients, fat content (including saturated fatty acids), carbohydrates (including sugars), protein, salt. The following texture parameters were instrumentally measured: firmness, work of shear, work of penetrations, resistance to probe withdrawal.
DOI: 10.6084/m9.figshare.24572368.v1
title: RanchES_Data&Rcode

description: Securing food production while safeguarding ecosystem stability and resilience remains a grand challenge in the Anthropocene. Sustainable agricultural intensification holds promise in achieving ecosystem service multifunctionality beyond food production, yet empirical evidence remains tenuous, especially regarding consequences for the metaecosystems (i.e., spatially coupled ecosystems connected by flows across ecosystem boundaries). Here we synthesized long-term datasets encompassing 53 physical, chemical, and biological indicators, comprising &gt;11,000 field measurements, to understand effects of land-use intensification on multiple ecosystem services of spatially connected grasslands and wetlands. The management practices applied to grasslands were not directly imposed on wetlands, except for grazing intensity. Our results revealed that intensification promoted high-quality forage and livestock production in both grasslands and wetlands, but at the expense of water quality regulation, methane mitigation, non-native species invasion resistance, and biodiversity, and further weakened relationships among ecosystem services. Such intensification effects on grasslands cascaded to alter multifunctionality of embedded natural wetlands within the metaecosystems to a similar extent. Our results highlight the need to integrate holistic and systematic perspectives into land-use intensification strategies to achieve multifunctional agricultural landscapes.
DOI: 10.6084/m9.figshare.28190297.v1
title: Manuscript Data

description: These data files provide supporting data for the manuscript, which explores the factors influencing digital media designers' subscription to premium versions of AI drawing tools.
DOI: 10.17632/k9ttpr9235
title: Data for: Composition and variation of soil δ15N stable isotope in natural ecosystems

description: All observed soil 15N data are available, which includes the longitude and latitude of sampling locations, mean annual precipitation, mean annual temperature, soil water content, soil total N, SOC, elvation, and soil particle distribution.
DOI: 10.17632/nz8sprcdtb
title: Data for: The Characteristics of Spino-Pelvic Sagittal Alignment in Lumbar Degenerative Diseases

description: Database Patients of Sagittal Balance in Degenerative Lumbar Spine