cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24550351.v1
title: Data for Lingo3DMol

description: "DUDE_pocket.tar.gz" contains the pocket structures of the 101 DUDE targets used for model evaluation."lingo3dmol_confs.tar.gz" includes molecules generated by Lingo3DMol for the 101 DUD-E targets. It includes 3D conformations directly generated by the model without any force field-based refinement."pocket2mol_confs.tar.gz" consists of molecules generated by Pocket2Mol for the 101 DUD-E targets. It includes 3D conformations directly generated by the model without any force field-based refinement."targetdiff_confs.tar.gz" contains molecules generated by TargitDiff for the 101 DUD-E targets. It includes 3D conformations directly generated by the model without any force field-based refinement."random_confs.tar.gz" contains random molecules for the 101 DUD-E targets. It includes 3D conformations obtained through docking.The molecule files in "*_confs.tar.gz" files are named using the format {pdb_id}-{mol_id}.Additional information about the generated molecules, including mol_id, SMILES, and metric scores involved in the evaluation, can be found in the "*_moleculars_metric_score_with_dude.csv" files."Training_data.tar.gz" contains all the complex structures used for model fine-tuning."Training_data_homology_with_DUDE.csv" contains information about the PDB IDs in the training set and their maximum sequence identity with the DUD-E targets used in the evaluation.
DOI: 10.6084/m9.figshare.24633114
title: <b>Dynamic Assessment of Cerebral Hemodynamics in Depressive Patients Under </b><b>Modified Electroconvulsive Therapy</b>

description: This study employs functional Near-Infrared Spectroscopy (fNIRS) to dynamically assess disparities in cerebral hemodynamics between Major Depressive Disorder (MDD) patients and a matched control group.
DOI: 10.5281/zenodo.10071956
title: Griffith Creek stream temperature and stream discharge

description: This repository contains data sets and scripts used in the analysis for the following article:
Moore RD, Guenther SM, Gomi T, Leach JA. Headwater stream temperature response to forest harvesting: Do lower flows cause greater warming? Hydrological Processes, doi 10.10002/hyp.15025  
The research was supported by funds from the Natural Sciences and Engineering Research Council of Canada and Forest Renewal British Columbia.
 
File descriptions
griff_mike_tmmm.csv
Time series of daily minimum, mean and maximum stream temperatures for Mike Creek (control stream) and Griffith Creek (treatment stream). There are three monitoring sites on Griffith Creek: just above a weir (0 m), and 100 m and 200 m upstream of the weir. The variable names include the stream name (Mike or Griff), the summary value (Min, Mean or Max) and, for Griffith Creek, the location (0, 100, 200).
q_dly_rdm.csv
Time series of daily mean streamflow at a weir in L/s, as computed from stage and a rating curve. See Moore et al. (2023) for details of the rating curve derivation.
mkrf_open_met_dly.csv
Time series of daily mean solar radiation (W/m^2), mean daily and maximum air temperature (degrees C), and total rainfall (mm) measured at an open site southeast of Griffith Creek.
01_paired-catchment-analysis_tmax_20230929.r
02_figures_tmax_20230929.r
03_test_ushape_peakfinder_20230927.r
Scripts used to conduct the analyses and generate figures and tabular output. The leading number indicates the order in which the scripts should be run.
DOI: 10.6084/m9.figshare.24633105
title: Customer Satisfaction Response to Artificial Intelligence Tools Usage During Online Shopping

description: Artificial intelligence (AI) is a technology that enables products to be combined with new features and create innovative customer experiences . A lot of businesses have embraced various AI tools to offer customer care interactions. Research gaps arise from an unclear picture of how customers' experience with online shopping will be affected by the experience and usage of AI tools. This study aims to predict satisfied online shoppers based on their usage experience with AI tools, by leveraging data mining methods and machine learning techniques. Data was collected from India, China, and Canada in 2021 and 2022 by distributing online survey to online shoppers with exposure to AI tools. Five machine learning algorithms; decision tree, random forest, naïve bayes, gradient boosted tree and multilayer perceptron neural network techniques were applied and compared to predict satisfied shoppers using. Overall, all the models showed a prediction accuracy of more than 86.5% f-score value and random forest outperformed with 91.5% f-score value. The findings demonstrated that the online retail business can identify satisfied customers with 91.5% accuracy using machine learning. Business can derive such data-driven actionable knowledge from integrating machine learning into their operations, resulting in a more satisfied customer base and a more efficient and competitive business model.
DOI: 10.6084/m9.figshare.24417850
title: Castanopsis_chinensis_BUSCO-assessment-of-the-assembly

description: Castanopsis chinensis genome.
DOI: 10.6084/m9.figshare.24417850.v2
title: Castanopsis_chinensis_BUSCO-assessment-of-the-assembly

description: Castanopsis chinensis genome.
DOI: 10.6084/m9.figshare.24417850.v1
title: Untitled Item

description: Castanopsis chinensis genome.
DOI: 10.21227/f9d0-fk07
title: An Integrated Smart Contract Vulnerability Detection Tool Using Multi-layer Perceptron on Real-time Solidity Smart Contracts

description: Smart contract vulnerabilities have led to substantial disruptions, ranging from the DAO attack
to the recent Poolz Finance arithmetic overflow incident. While historically, the definition of smart contract
vulnerabilities lacked standardization, even with the current advancements in Solidity smart contracts, the
potential for deploying malicious contracts to exploit legitimate ones persists.
The abstract Syntax Tree (AST ), Opcodes, and Control Flow Graph (CFG) are the intermediate representa-
tions for Solidity contracts. In this paper, we propose an efficient and scalable smart contract vulnerability
detection algorithm that uses all two representations for vulnerability detection based on multipool detection
leveraging on Machine Learning (ML) techniques. We use feature vectors from the Opcodes and CFG for
the ML model training. While there are existing works on ML-based approaches for analyzing the control
flow of the smart contract code, these approaches are constrained by (i) the vulnerability detection space, (ii)
significantly varying Solidity smart contract versions, and (iii) no unified scalable approach to verify against
the ground truth. Our primary contributions include (i) establishing a standardized pre-processing method for
cleaning smart contract training data, (ii) introducing bugs to create a balanced dataset of flawed files across
Solidity versions using AST, and (iii) standardizing vulnerability identification using the Smart Contract
Weakness Classification (SWC) registry as a common analysis platform. The ML models employed in our
study are Random Forest (RF), XGBoost (XGB), Support Vector Machine (SVM), MultiLayer Perceptron
(MLP), and a multi-input model combining MLP and Long Short Term Memory (LSTM). In this paper, we
have obtained an accuracy of up to 91% using real-time smart contracts deployed on Ethereum Blockchain
DOI: 10.5281/zenodo.10071955
title: Griffith Creek stream temperature and stream discharge

description: This repository contains data sets and scripts used in the analysis for the following article:
Moore RD, Guenther SM, Gomi T, Leach JA. Headwater stream temperature response to forest harvesting: Do lower flows cause greater warming? Hydrological Processes, doi 10.10002/hyp.15025  
The research was supported by funds from the Natural Sciences and Engineering Research Council of Canada and Forest Renewal British Columbia.
 
File descriptions
griff_mike_tmmm.csv
Time series of daily minimum, mean and maximum stream temperatures for Mike Creek (control stream) and Griffith Creek (treatment stream). There are three monitoring sites on Griffith Creek: just above a weir (0 m), and 100 m and 200 m upstream of the weir. The variable names include the stream name (Mike or Griff), the summary value (Min, Mean or Max) and, for Griffith Creek, the location (0, 100, 200).
q_dly_rdm.csv
Time series of daily mean streamflow at a weir in L/s, as computed from stage and a rating curve. See Moore et al. (2023) for details of the rating curve derivation.
mkrf_open_met_dly.csv
Time series of daily mean solar radiation (W/m^2), mean daily and maximum air temperature (degrees C), and total rainfall (mm) measured at an open site southeast of Griffith Creek.
01_paired-catchment-analysis_tmax_20230929.r
02_figures_tmax_20230929.r
03_test_ushape_peakfinder_20230927.r
Scripts used to conduct the analyses and generate figures and tabular output. The leading number indicates the order in which the scripts should be run.
DOI: 10.6084/m9.figshare.24633153
title: Appropriate complementary feeding practice and associated factors among mothers of children aged 6-23 months in Bhimphedi rural municipality of Nepal

description: A community-based cross-sectional study was conducted from August to December 2018 to assess the factors associated with Appropriate Complimentary Feeding Practice. Appropriate complementary feeding practice is the dependent variable and is measured using a composite indicator comprising three out of nine of the WHO Complementary feeding indicators. These are; the timely introduction of solid, semi-solid, or soft food, minimum dietary diversity, and minimum meal frequency. If a child fulfilled all three criteria, it was classified as having appropriate complementary feeding practice
DOI: 10.23719/1529853
title: Clean Air Status and Trends Network (CASTNET) hourly temperature and other meteorological data (1990 - present)

description: Hourly temperature data and other meteorological data (e.g., relative humidity, solar radiation, precipitation, wind direction) are provided at long-term rural air monitoring sites. There are more than 90 CASTNET sites reporting hourly temperature data throughout the United States. These data can be used to assess climate impacts on air quality and trends in temperature from long-term monitoring sites. Meteorological sensors are calibrated to NIST traceable standards. Site location information is included with this dataset. The QAPP and associated SOPs can be found on the CASTNET website: www.epa.gov/castnet/documents-reports.
DOI: 10.23719/1529605
title: Anthropogenic salt cycle

description: synthesis of global salt quantities and fluxes
DOI: 10.5519/qd.9d5ecfzj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (338 records)
DOI: 10.6084/m9.figshare.23633751.v1
title: Sound reconstruction from human brain activity via a generative model with brain-like auditory features

description: This repository provides data used in the following work.Jong-Yun Park, Mitsuaki Tsukamoto, Misato Tanaka, Yukiyasu Kamitani (2023) Sound reconstruction from human brain activity via a generative model with brain-like auditory features. arXiv. https://arxiv.org/abs/2306.11629Code: https://github.com/KamitaniLab/SoundReconstruction
DOI: 10.5281/zenodo.10203449
title: Quantification of soil organic carbon: the challenge of biochar-induced spatial heterogeneity

description: R-script and output from model on spatially discrete biochar application and its influence on representative SOC sampling. An additional document to explain the data curation is also available ("Comment on Data curation").
DOI: 10.5281/zenodo.10203450
title: Quantification of soil organic carbon: the challenge of biochar-induced spatial heterogeneity

description: R-script and output from model on spatially discrete biochar application and its influence on representative SOC sampling. An additional document to explain the data curation is also available ("Comment on Data curation").
DOI: 10.6084/m9.figshare.24633171
title: 补充材料

description: 乳酸菌（LAB一种微器官功能性食品中广泛应用近年来引起了广泛的研究关注。某些中释放出有效的抗高血压肽的蛋白探索乳酸菌株。采用传统大曲中筛选出67株乳酸菌菌。选取50ACE抑制ACE-I）活性超过16%的菌株进行640S rDNA测序和安全性评估。值得注意的是，屎肠球菌 CP640 和鼠李糖乳酪杆CP2ACE-I活性，这是菌株在复原脱脂牛奶中发酵的结果。这640株菌株没有表现出溶血活性或抗生素耐药性。它们也不产生生物胺，并且在胃肠道中显示出很高的存活率。此外屎肠球菌CP640 和鼠李糖CP640发酵乳抑制血压水平显着降低自发性高血压大鼠（SHR相比阴性对照组在正常Wistar-KyotoWKY大鼠）中没有观察到不良影响).通过对生理、血清和，观察到恩球菌CP640 和鼠李乳酪杆诺苏斯CP2具有促进SHR患者体重增加、缓解心率过快、改善肾功能指标、有效调节SHR患者血糖和尿酸水平的潜力。这&lt;&gt;种菌株在降血压方面表现出最佳特性，用于功能性乳制品。
DOI: 10.34740/kaggle/dsv/7047578
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.5067/terra-aqua-noaa20/ceres/syn1degmonth_l3.004b
title: CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-Aqua-NOAA20 Edition4B
DOI: 10.5067/terra-aqua-noaa20/ceres/syn1deg-1hour_l3.004b
title: CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra-Aqua-NOAA20 Edition4B
DOI: 10.5067/terra-aqua-noaa20/ceres/syn1degday_l3.004b
title: CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-Aqua-NOAA20 Edition4B
DOI: 10.5067/terra-aqua-noaa20/ceres/syn1deg-mhour_l3.004b
title: CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua-NOAA20 Edition4B
DOI: 10.5281/zenodo.10205365
title: Test set for DiffFlexDock
DOI: 10.5281/zenodo.10205364
title: Test set for DiffFlexDock
DOI: 10.3886/e113126v1-143291
title: Replication data for: Drilling Like There's No Tomorrow: Bankruptcy, Insurance, and Environmental Risk

description: This paper measures the effects of bankruptcy protection on industry structure and environmental outcomes in oil and gas extraction. Using administrative data from Texas, I exploit variation in an insurance requirement that reduced firms' ability to avoid liability through bankruptcy. Among small firms, the policy substantially improved environmental outcomes and reduced production. Most production was reallocated to larger firms with better environmental records, but high-cost production where social cost may have exceeded social benefit decreased. These results suggest that incomplete internalization of environmental costs due to bankruptcy is an important determinant of industry structure and safety effort in hazardous industries.
DOI: 10.6084/m9.figshare.23633751.v2
title: Sound reconstruction from human brain activity via a generative model with brain-like auditory features

description: This repository provides data used in the following work.Jong-Yun Park, Mitsuaki Tsukamoto, Misato Tanaka, Yukiyasu Kamitani (2023) Sound reconstruction from human brain activity via a generative model with brain-like auditory features. arXiv. https://arxiv.org/abs/2306.11629Code: https://github.com/KamitaniLab/SoundReconstruction
DOI: 10.34740/kaggle/dsv/7048029
title: Gladiator Combat Records and Profiles Dataset
DOI: 10.6084/m9.figshare.24633606
title: A diagnostic model for TIW currents from SSH

description: Provide a diagnostic model code (.m, MATLAB) for high-frequency equatorial surface currents estimated from sea surface height (SSH). The model is based on a simplified shallow water equation, see Ref<sup>1</sup> for details. The input and output data (.mat) are also provided. Inputs include the topography, low-pass background currents from OSCAR2, high-pass SSH. Outputs are high-frequency equatorial currents (u', v'). The results are used in a manuscript<sup>2</sup> entitled "Intensification of Pacific Tropical Instability Waves over the recent three decades" recently accepted by Nature Climage Change.Wang, M., Xie, S. P., Shen, S. S., & Du, Y. (2020). Rossby and Yanai modes of tropical instability waves in the equatorial Pacific Ocean and a diagnostic model for surface currents. <i>Journal of Physical Oceanography</i>, <i>50</i>(10), 3009-3024.Wang,M., S.-P. Xie, H. Sasak, M. Nonaka, and Y. Du, 2024: Intensification of Pacific Tropical lnstability Waves over the recent three decades. Nature Clim. Change, accepted
DOI: 10.15151/esrf-es-1318527435
title: Macromolecular crystallography at the Philipps University Marburg (MarBAG)

description: Located at the Philipps-University-Marburg and the Max-Planck-Institute for terrestrial Microbiology in Marburg, Germany, the MarBAG employs X-ray crystallography to reveal fundamental mechanisms of key biological processes involving synthesis, assembly and function of macromolecular machines and cellular structures (e.g. CO2-fixation pathways, flagellar biosynthesis, CRISPR-Cas Systems, cell-wall-related processes, phage-bacteria relationships). Furthermore, we are interested in plant-pathogen interactions and the function of nucleotide derived signalling molecules in cellular stress physiology and organization. A 200 keV cryo-electron microscope was recently installed at the UMR to complement our efforts to structurally characterize macromolecular complexes, which do not readily crystallize. Thus, we can now routinely screen and quality check samples for cryo-electron microscopy and produce structures of 3Å resolution.
DOI: 10.15151/esrf-es-1413815515
title: Substitution and strain effect on the magnetism of high-entropy oxides

description: High-entropy oxides are materials characterized by the intricate magnetic ground state arising from the presence of multiple transition metals and magnetic atoms. We intend to measure XMCD of single crystal perovskite thin films of Nd(Cr0.2Mn0.2Fe0.2Co0.2Ni0.2)O3 and Nd0.7Ca0.3(Cr0.2Mn0.2Fe0.2Co0.2Ni0.2)O3, grown on LaAlO3 substrates to induce strain. The samples are characterized for the composition and XRD was used to probe the film thickness. Muon spectroscopy was performed at PSI, Switzerland, while previous XMCD were measured at KIT Light Source, Germany. The incorporation of Ca is observed to enhance the magnetic response of Ni and Fe, with a concomitant reduction in the Co signal. To comprehensively characterize the magnetic behavior, XMCD hysteresis will be measured at the transition metal L3 edges. The results will help to understand the complex magnetic ground state of these high-entropy oxide materials.
DOI: 10.15151/esrf-es-1352734742
title: Identification of complex intermetallic phases using single crystal diffuse scattering.

description: Complex metallic alloys are fascinating materials, which despite seemingly simple chemical composition show surprisingly complex structures containing hundreds and thousand atoms per unit cell. Finding such phases is complicated due to the fact that they appear at low temperatures where diffusion is slow, and thus even when the temperature of their formation is known apriori their synthesis sometimes requires months of annealing. In this work we propose single crystal x-ray diffuse scattering as a probe for the discovery of complex intermetallic phases. Diffuse scattering allows to capture such complex phases in the early stages, when they manifest only as weak local ordering. As a result, it diffuse scattering efficiently guide synthesis by suggesting the phase regions and temperature ranges where ordering will likely take place. We will test the applicability of this method on Cd1-xAux near x=1/4, which is known to have a number of long-range modulated phases.
DOI: 10.15151/esrf-es-1351187551
title: Study of interstitial elements addition and processing routes on the production of ordered L10 phase in FeNi-based alloys

description: The purpose of this proposal is to use Powder X-ray Diffraction to investigate the addition of alloying elements and cryomilling on the formation of the tetrataenite phase in FeNi-based alloys produced by different processing routes. The data collected will be analysed through the Rietveld method to assess the material’s structural parameters, calculate the Long-Range Order parameter (S) and analyse the material’s behaviour under the temperature variation below and above the disorder-order temperature.
DOI: 10.6084/m9.figshare.24633639
title: Intensification of Pacific Tropical Instability Waves over the recent three decades

description: Provide analysis codes (.m, MATLAB) and data (.mat) for each figure (5 main and 10 Extended Data figures) of a manuscript<sup>1</sup> entitled "Intensification of Pacific Tropical Instability Waves over the recent three decades".Wang,M., S.-P. Xie, H. Sasak, M. Nonaka, and Y. Du, 2024: Intensification of Pacific Tropical lnstability Waves over the recent three decades. Nature Clim. Change, accepted
DOI: 10.3886/e195368
title: ECIN Replication Package for "International Comovements of Public Debt" (ECIN-Jan-2021-0062R2)

description: This study presents evidence of global and regional comovements in public debt and examines their trends and features. We employ a Bayesian dynamic factor model with time-varying parameters based on the debt-to-GDP ratio of 115 countries. We find the global factor accounts for 38 percent of the total variation in the debt ratio worldwide, but its share decreases over time. Countries with more financial openness and a greater share of external public debt are more exposed to global/regional comovements. The assertion that international financial integration encourages higher government borrowing applies primarily to high-income countries and it does not hold globally.
description: Presence of Common Scales: Most of the variables are measured in terms of their share in GDP. Interest rates are measured in basis points.
description: 115 individual countries . Smallest Geographic Unit: Country
description: other; The data for the study were acquired the International Monetary Fund and the World Bank publicly available data repositories.
DOI: 10.6084/m9.figshare.24633630
title: AAGNN datasets

description: a novel graph neural network model called AAGNN to predict materials property
DOI: 10.6084/m9.figshare.24633630.v1
title: The dataset analysed in AAGNN is available

description: a novel graph neural network model called AAGNN to predict materials property
DOI: 10.6084/m9.figshare.24633630.v2
title: AAGNN datasets

description: a novel graph neural network model called AAGNN to predict materials property
DOI: 10.6084/m9.figshare.24581112
title: <b>Orbital topological edge states and phase transitions in one-dimensional acoustic resonator chains</b>

description: Source data
DOI: 10.6084/m9.figshare.24581112.v1
title: <b>Orbital topological edge states and phase transitions in one-dimensional acoustic resonator chains</b>

description: Source data
DOI: 10.6084/m9.figshare.23633751.v3
title: Sound reconstruction from human brain activity via a generative model with brain-like auditory features

description: This repository provides data used in the following work.Jong-Yun Park, Mitsuaki Tsukamoto, Misato Tanaka, Yukiyasu Kamitani (2023) Sound reconstruction from human brain activity via a generative model with brain-like auditory features. arXiv. https://arxiv.org/abs/2306.11629Code: https://github.com/KamitaniLab/SoundReconstruction
DOI: 10.6084/m9.figshare.24633651
title: Data for motor performance and thermoregulatory responses.xls

description: This study investigated the effects of partial-body cryotherapy (PBC) and cold water immersion (CWI) applied within a 15-min interval on subsequent exercise performance, as well as to assess physiological responses and perceptual parameters in a high-temperature condition.
DOI: 10.6084/m9.figshare.22647988
title: Upcycling Fish Scales Through Heating for Steganography and Rhodamine B Adsorption Application

description: Data for the plots used in figures for the manuscript
DOI: 10.6084/m9.figshare.22647988.v1
title: Upcycling Fish Scales Through Heating for Steganography and Rhodamine B Adsorption Application

description: Data for the plots used in figures for the manuscript
DOI: 10.6084/m9.figshare.24271465
title: Autonomous nanorobots with powerful thrust under dry solid-contact conditions by photothermal shock

description: This Source Data is relevant to our nanorobot control, simulation of the process of the photothermal dynamics.
DOI: 10.6084/m9.figshare.23703657.v1
title: Mouse models of pediatric high-grade gliomas with MYCN amplification reveal intratumoral heterogeneity and lineage signatures

description: Suppl. Table 1