cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/n456dv6ckk.1
title: "Inappropriate use of antibiotics exacerbates inflammation through outer membrane vesicles-induced pyroptosis in multidrug-resistant Klebsiella pneumoniae infection" , Chao Ye et al

description: The original data for "Inappropriate use of antibiotics exacerbates inflammation through outer membrane vesicles-induced pyroptosis in multidrug-resistant Klebsiella pneumoniae infection"
DOI: 10.17632/tmrf328skd.1
title: Tuberculosis aneurysms that underwent open surgeries and EVARs

description: Tuberculosis pseudoaneurysm, which originated from TB infection or Bacilli Calmette Guerin (BCG) administration, was a very rare disease with high mortality. Whether open surgery or EVAR was the optimal surgical choice for the tuberculosis aneurysms remained unknown. However, the rarity of the disease restricted the RCT analysis and even the retrospective studies. Therefore, we reviewed all case reports of tuberculosis aneurysms in the recent 25 years to compare the therapeutic outcomes of EVAR and open surgery.
DOI: 10.17632/z7syhdk3kn.1
title: Carbon vs. cost option mapping: A tool for improving early-stage design decisions — supporting data

description: This data supports the paper "Carbon vs. cost option mapping: A tool for improving early-stage design decisions", by the same authors, submitted in 2021. 
It comprises:
- a list of anonymised span tables which are used as input data for the results presented in the paper
- the raw data (dataset of generated building designs) from which the figures in the paper were derived
DOI: 10.17632/cmghr89yfx.2
title: Data for: Acetic acid industrial production

description: This dataset contains information regarding the patented methods (both application and granted patents) for the industrial production of acetic acid.
Two databases were used for data mining: Espacenet (a free of charge database provided by the European Patent Office) and Orbit Intelligence (a fee-based professional database provided by Questel).
The file entitled "Acetic acid production_Espacenet) contains information related to title, inventors, applicant, publication numbers, earliest priority, IPC, CPC codes, publication dates, earliest publication, family numbers.
The file entitled "Acetic acid production_Orbit" contains information related to publication numbers, publication dates, title, abstract, current assignee, and claims.
DOI: 10.17632/hvzky7z99p.2
title: LBM

description: The different asymmetry of rainfall responses during radiative forcing increase and stabilization in RCP4.5 experiments
The climatology state, heat forcing and the model outputs of simulations in LBM
The details of files are shown in the README file.
DOI: 10.17632/mkmv3mgz86.1
title: Limited TCR repertoire and ENTPD1 dysregulation mark late-stage COVID-19, Wang et al.

description: We performed a comprehensive transcriptome analysis of peripheral-blood-mononuclear-cells, spleen, lung, kidney, liver and heart obtained at autopsy from COVID-19 patients and matched controls, using the nCounter-CAR-T-Characterization panel (NanoString). The files deposited include a) a Table where all the NanoString panel annotations are indicated (Table S1) and b) the NanoString raw data (table S4).
DOI: 10.17632/5ppw96s76x.1
title: Supplementary Material for "Clinical and microbiological characteristics of Reactive Infectious Mucocutaneous Eruption:  a case series of five patients."

description: Pictures of genital and skin lesions in 2 patients diagnosed with RIME
DOI: 10.17632/cp4kg5jf9p.2
title: Supplemental Data for "Cost/Benefit Assessment of Green Infrastructure: Spatial Scale Effects on Uncertainty and Sensitivity"

description: This data provides supplemental output data for the Monte Carlo analysis for the uncertainty analysis pertaining to benefit and costs associated with the GI implementation in different subwatersheds in the Dead Run case study watershed in the state of Maryland, as described by Heidari et al. (n.d.). Heidari et al. present the conclusions drawn from the results in the "Cost/Benefit Assessment of Green Infrastructure: Spatial Scale Effects on Uncertainty and Sensitivity", which is under review as of June 2021.
DOI: 10.17632/bpbjfg5b5t.1
title: RAW SCANNING ELECTRON MICROSCOPY (SEM) IMAGES OF  COATED A36 MILD MILD STEEL

description: The data in raw SEM images shows the morphology of calcium-modified zinc phosphate on A36 mild steel at coating temperature 80 degrees Celsius, coating time (t3 = 50 and t4 = 60 minutes with calcium concentration (C3 = 2.0 and C4 = 2.5 g/L). The calcium is obtained egg shell and snail shell nanoparticles.
DOI: 10.17632/4nfgkvhts5.4
title: Bi-objective optimization of e-grocery deliveries considering food quality losses

description: Instance files and summary of results presented in paper. Individual detailed results of each single run are available on request.
DOI: 10.17632/krkt9cwds9.3
title: Oxytocin and social preference data on young adult relationships to romantic partners, parents, friends, and strangers.

description: Forty Four young adults (91% female) in ongoing romantic relationships (M duration=21 months) completed a screening survey and two lab visits separated by 4-weeks. Results indicated that oxytocin administration decreased attachment to mothers, decreased attachment to subsidiary figures, and decreased attraction to strangers, but showed no effect on closeness to romantic partners or to the primary attachment relationship.
DOI: 10.17632/vh55z77sy8.1
title: Traversing Erosion Beam data, Warden Point, Kent, 2005 to 2015

description: Title: Intertidal cohesive foreshores: Erosion rates and processes illustrated by a shore platform at Warden Point, Kent, UK.  
Authors: Cherith A. Moses and David A. Robinson
Description: platform downwearing data, measured using the Traversing Erosion Beam (TEB), on the London Clay foreshore at Warden Point, Kent, UK. 
Technical details for the TEB construction and installation of fixed measurement points in the platform are detailed in Charman et al. (2007) as is the procedure for recording measurements and their accuracy and reproducibility.
Erosion rates are presented and discussed in Moses and Robinson (under review). Measurement sites are as follows: upper site (WA1 and WA2); mid site (WB1 and WB2); lower site (WC1 and WC2).
Data collection: Initial data collection in 2005 to 2006, was carried out as part of the ‘Understanding cohesive foreshores’ project, funded by DEFRA and the Environment Agency Joint R&D Programme (project number FD 1915). Details can be found in Brew (2007). Continuation of the field measurements over the following years has been carried out by the authors with the help of a number of colleagues and students, whose assistance with the TEB and surveying is gratefully acknowledged: Rendel Williams, Richard Charman, Jerome Curoy, Hanna Kauppila, Jessica Jordan, and Christopher Gordon. The authors thank English Nature (now Natural England) for permission to install the measurement sites into the shore platform.

References:
Brew, D. S. 2007. Understanding and Predicting Beach Morphological Change Processes Associated with the Erosion of Cohesive Foreshores. DEFRA-Flood Management Division Technical Report FD1926/TR.
Charman, R., Cane, T., Moses, C. and Williams, R., 2007. A device for measuring downwearing rates on cohesive shore platforms. Earth Surface Processes and Landforms, 32, 14: 2212-2221.
Moses, C.A. and Robinson, D.A. (under review) Intertidal cohesive foreshores: Erosion rates and processes illustrated by a shore platform at Warden Point, Kent, UK.  Marine Geology.
DOI: 10.17632/w2y9dccpvx.2
title: Data for Energy efficiency and price policy for sustainable development in Iran: Fossil fuel demand elasticities and sustainability

description: ******************** see README file ********************

Title: Data for Energy efficiency and price policy for sustainable development in Iran: Fossil fuel demand elasticities and sustainability
Version: 1.0
Identifier: doi: 10.17632/w2y9dccpvx.1
Permanent link: http://dx.doi.org/10.17632/w2y9dccpvx.1

Associate publication: Taghvaee, V.M., Arani, A.A., Soretz, S., Agheli, L., 2021, Energy efficiency and price policy for sustainable development in Iran: Fossil fuel demand elasticities and sustainability, Energy Sources, Part B: Economics, Planning and Policy

Contact Information:
1- Vahid Mohamad Taghvaee; Department of Economic Development and Planning, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran; V.TAGHVAEE@modares.ac.ir
2- Abbas Assari Arani; Department of Economic Development and Planning, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran; ASSARI_A@modares.ac.ir

This directory contains the following dataset and supplementary materials:

1- Fossil fuel demand elasticities in Iran: Required data for estimation of fossil fuels demand elasticities in Iran (including 5 Excel files for the various fossil fuels: diesel, gasoline, fuel oil, LPG, and kerosene)
2- Countries: price and consumption of fossil fuel in various countries in the world
3- EViews file: required data and estimations of the fossil fuel demand model in Iran in EViews Software work file
4- Effects of policies (Environment, Health, Economy): effects of energy efficiency and price policies on environment, health, economy
5- Models: required data for the estimation of fossil fuel demand elasticities in Iran
6- Appendix: methodology for estimating the elasticities in details
7- Read Me file

Sources of the data are inside the files
DOI: 10.17632/2fcff7jj82.6
title: Russian digital economy as a social field

description: The project goal is to study the Russian digital economy as a new social field, which is a place of interaction of social forces, carried by individual agents, groups, organizations with their aggregate capitals, habitus, and practices. The author has developed an approach to the definition of habitus, combining the actor's character and capital.
     To classify habitus, a series of studies was carried out and general characteristics of actions were determined depending on disposition and capitals combination. The research was carried out in 4 Russian regions - Kaliningrad, Yaroslavl, Tambov and Kursk region.
    48 groups of common habitus characteristics were identified. Each group was given a name, which is projected in the minds of the Russian population into a certain holistic image. More detailed characteristics have been identified for the digital economy.
    The following data is presented - Description of the population habitus, Description of the digital habitus, Grouping of the Russian population habitus, Grouping of habitus by research area.
DOI: 10.17632/2sc5bwyw6s.1
title: Temporally distinct post-replicative repair mechanisms fill PRIMPOL-dependent ssDNA gaps in human cells. Tirman et al.

description: Unprocessed microscopy images, gels, and blots published in Tirman et al., 2021.
DOI: 10.17632/666skg8d69.1
title: H diffusion in quartz dataset

description: The following files contain LAICPMS and FTIR data for the submitted manuscript "Hydrogen diffusion mechanisms in quartz: insights from H-Li, 2H-H and 2H-H-Li exchange experiments" by Jollands et al.
DOI: 10.17632/499gx3pfxk.1
title: Flow-batch system based on Quartz Crystal Microbalance (QCM) sensor for the determination or arsenic in water

description: This project presents a lab-made instrument to measure the amount of arsenic present in water. This natural pollutant compromises the potability of water for humans, with a maximum limit of 10 ug L-1 in drinking water. Its presence in Argentina underground water is extended along a large area involving several provinces. The system uses flow-batch technology to handle the samples. This technology has several advantages over traditional methods: it uses small samples reducing the amount of reagents and residues left after the measurements, it can be systematized as the control of the procedure is made with a computing device, it can be implemented in the lab with low-cost elements, and provides high precision in the results when properly configured. Flow-batch systems are increasingly being used in analytical chemistry. In the case of this instrument, the flow-batch system is used to process the sample in order to isolate the arsenic present in the water. The measurement is indirect as it is the arsine present in the gaseous output what is measured through a QCM microbalance. QCM is a special quartz crystal that varies its resonanting frequency, or what is the same its admittance equivalent according to the dopping of its surface. As the gaseous arsine flows into the chamber the surface of the QCM is dopped with it and in this way its admittance is changed. The whole control of the flow-batch system and the gaseous flow is handled with a microcontroller platform based on the ESP-32 device while the admittance measurement is done with a commercial FPGA instrument. The system was built in the lab using several commercial elements like the solenoid valves or stepper motors. Beaker, reaction and measurement chambers were built in the lab, like the PCB and the assembly of the electronics together with different pieces specially design and built with a 3D printer for the peristaltic pump and several other elements.
DOI: 10.17632/t35cm7srxg.2
title: Sodium-Calcium Exchanger Mediates Sensory-Evoked Glial Calcium Transients in the Developing Retinotectal System - Benfey et al. Cell Reports, 2021

description: These are the files which contain the Ca imaging analysis used to generate the figures in the paper as well as code used for analysis.
DOI: 10.17632/f9hdn5xc3v.1
title: ProtSeq Data

description: For a full description of the data please see manuscript here: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3862823
DOI: 10.17632/nbwhzctrjp.1
title: Stocks daily data for comparing performance metrics applied to ML algorithms

description: SQL database (accessed with SQlite3 in Python)
Daily OHLCV of DJIU, CACA40, BEL20, AEX and FTSE for testing main performance metrics and D-ratio with AI models predicting asset returns.
1. Daily returns are computed as target variable
2. Various AI models (MLP, LSTM, ResNet, XGB, PPO,...) have been tested for their ability to predict returns
3. Dozens of performance metrics usually applied in the literature have been assessed to identify the best performing algorithms: MSE, RMSE, MAE, MAPE,... , Accuracy, F1, precision, recall, R, R², Matthews correlation coefficient, Cohen's kappa, Sharpe, Sortino, Calmar,... 
4. A new metric "D-ratio" has been tested
DOI: 10.17632/j2mgy5486k.1
title: Reverse-translational identification of a cerebellar satiation network

description: Fiber Photometry Codes and Data files for MATLAB2016a
DOI: 10.17632/wnw9724hxm.1
title: Worldwide Google Trends data from 2004 to 2021 on the topic of climate change

description: This Excel dataset includes all for publication used worldwide Google Trends data from 2004 to 2021 on the topic of climate change, downloaded on 09/01/2021 in Berlin, Germany, after filtering for the periods and subjects of interest. [Accessed at: https://trends.google.com/]
DOI: 10.17632/v2k2jvjwrh.2
title: Find Ideal Location for Business in Bangladesh

description: The dataset has 21 columns that carry the features (questions) of 988 respondents. The efficiency of any machine learning model is heavily dependent on its raw initial dataset. For this, we had to be extra careful in gathering our information. We figured out that for our particular problem, we had to go forward with data that was not only authentic but also versatile enough to get the proper information from relevant sources. Hence we opted to build our dataset by dispatching a survey questionnaire among targeted audiences. Firstly, we built the questionnaire with inquiries that were made after keen observation. Studying the behavior from our intended audience, we came up with factual and informative queries that generated appropriate data. Our prime audience were those who were highly into buying fashion accessories and hence we had created a set of questionnaires that emphasized on questions related to that field. We had a total of twenty one well revised questions that gave us an overview of all answers that were going to be needed within the proximity of our system. As such, we had the opportunity to gather over half a thousand authentic leads and concluded upon our initial raw dataset accordingly.
DOI: 10.17632/srcz7scz67.2
title: Prediction of Lupus Membranous Nephritis using Reduced Picolinic Acid to Tryptophan Ratio as a Urinary Biomarker: Supporting Data

description: Supporting metabolomics dataset for statistical analysis in  "Prediction of Lupus Membranous Nephritis using Reduced Picolinic Acid to Tryptophan Ratio as a Urinary Biomarker".
DOI: 10.5281/zenodo.5507236
title: Anomaly Detection MAIDAI

description: This is a pre-processed version of CIC-IDS 2017 dataset. Correlated features were removed.
DOI: 10.5281/zenodo.5527239
title: Evaluating the performance of fire rate of spread models in northern-European Calluna vulgaris heathlands - Supplemental Material

description: Supplemental Data analysis tables and raw data from the publication submitted to the journal "Fire" (MDPI) "Evaluating the performance of fire rate of spread models in northern-European Calluna vulgaris heathlands".
description: Associated article currently in review Funding: Natural Environment Research Council: NER/S/C/2001/06470 Research Council of Norway 298993 Game and Wildlife Conservation Trust Scottish Government Scottish Natural Heritage
DOI: 10.5281/zenodo.5527238
title: Evaluating the performance of fire rate of spread models in northern-European Calluna vulgaris heathlands - Supplemental Material

description: Supplemental Data analysis tables and raw data from the publication submitted to the journal "Fire" (MDPI) "Evaluating the performance of fire rate of spread models in northern-European Calluna vulgaris heathlands".
description: Associated article currently in review Funding: Natural Environment Research Council: NER/S/C/2001/06470 Research Council of Norway 298993 Game and Wildlife Conservation Trust Scottish Government Scottish Natural Heritage
DOI: 10.7910/dvn/72nxki
title: Instagram Influencers‘ impact on online consumer behavior :An Empirical study of the Greek market

description: The main aim of this study is to investigate the impact of Instagram Influencers endorsements on the users’ behavior. Emphasis is given on how the Influencers’ endorsements, promotions, and reviews of products and services affect the online purchase intention. Also, it is examined how the social commerce shopping model rises through the cooperation of Instagram Influencers with the Brands. The survey is based on 250 Greek Instagram users who were from 18 to above 40 years old. The data were gathered using a structured questionnaire which was distributed online with random sampling. The survey took place in Thessaly, Greece. The research hypothesis was tested using regression analysis. The findings confirm the hypothesis that Influencers do affect the consumers in social media as long as some parameters. This new marketing strategy specifically seems to affect the way how companies understand their consumers' needs. Managerial implications are discussed, along with some interesting future research opportunities arising from this study. One main limitation was the sample, which was customers who are located in Thessaly, Greece. Research on the subject of how online shoppers interact with social media Influencers in the Greek market is limited. The majority of studies published concerning online consumer behavior investigate mostly the trends in social media. This research was conducted exclusively via Instagram and focuses on how the Influencers affect the purchase intentions of their followers. The study presents data findings, topics, business disciplines, and researchers' views that should be used by academics and professionals to study fields of low academic knowledge and improve marketing strategies.
DOI: 10.13012/b2idb-0286574_v1
title: Data for Integrating CyberGIS and Urban Sensing for Reproducible Streaming Analytics

description: Increasingly pervasive location-aware sensors interconnected with rapidly advancing wireless network services are motivating the development of near-real-time urban analytics. This development has revealed both tremendous challenges and opportunities for scientific innovation and discovery. However, state-of-the-art urban discovery and innovation are not well equipped to resolve the challenges of such analytics, which in turn limits new research questions from being asked and answered. Specifically, commonly used urban analytics capabilities are typically designed to handle, process, and analyze static datasets that can be treated as map layers and are consequently ill-equipped in (a) resolving the volume and velocity of urban big data; (b) meeting the computing requirements for processing, analyzing, and visualizing these datasets; and (c) providing concurrent online access to such analytics. To tackle these challenges, we have developed a novel cyberGIS framework that includes computationally reproducible approaches to streaming urban analytics. This framework is based on CyberGIS-Jupyter, through integration of cyberGIS and real-time urban sensing, for achieving capabilities that have previously been unavailable toward helping cities solve challenging urban informatics problems. The files included in this dataset functions as follows: 1) Spatial_interpolation.ipynb is a python based Jupyter notebook that enables users to conduct spatial interpolation with AoT data; 2) Urban_Informatics.ipynb is a Jupyter notebook that helps to explore the AoT dataset; 3) chicago-complete.weekly.2019-09-30-to-2019-10-06.tar includes all the high-frequency urban sensing data from AoT sensors from 2019 September 30th to 2019 October 6th collected in Chicago, US; 4) sensors.csv is a processed dataset including information about the temperature in Chicago, and it is used in Spatial_interpolation.ipynb.
DOI: 10.5281/zenodo.5527231
title: Anomaly Detection and Machine Learning

description: The datasets were preprocessed. Correlated features were removed. Related papers: <strong>[1]</strong> Iman Sharafaldin, Arash Habibi Lashkari, and Ali A. Ghorbani, “Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization”, 4th International Conference on Information Systems Security and Privacy (ICISSP), Portugal, January 2018 <strong>[2]</strong> Nour Moustafa, October 16, 2019, "UNSW_NB15 dataset", IEEE Dataport, doi: https://dx.doi.org/10.21227/8vf7-s525. <strong>[3]</strong> “Sebastian Garcia, Agustin Parmisano, & Maria Jose Erquiaga. (2020). IoT-23: A labeled dataset with malicious and benign IoT network traffic (Version 1.0.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4743746”
DOI: 10.6084/m9.figshare.11823753
title: Parallel mechanisms of visual memory formation across distinct regions of the honey bee brain

description: qPCR for CREB, CaMKII, and fen-1 in the mushroom bodies, optic lobes, and remaining tissue ("central brain (CB)," negative control) performed at 20 or 80 minutes following aversive learning task. See Methods for group details.
DOI: 10.6084/m9.figshare.11823753.v1
title: Parallel mechanisms of visual memory formation across distinct regions of the honey bee brain

description: qPCR for CREB, CaMKII, and fen-1 in the mushroom bodies, optic lobes, and remaining tissue ("central brain (CB)," negative control) performed at 20 or 80 minutes following aversive learning task. See Methods for group details.
DOI: 10.5517/ccdc.csd.cc25kpct
title: CCDC 2012996: Experimental Crystal Structure Determination

description: Related Article: Tanner C. Jankins, Raul Martin-Montero, Phillippa Cooper, Ruben Martin, Keary M. Engle|2021|J.Am.Chem.Soc.|143|14981|doi:10.1021/jacs.1c07162
DOI: 10.5517/ccdc.csd.cc267qnv
title: CCDC 2033217: Experimental Crystal Structure Determination

description: Related Article: Tanner C. Jankins, Raul Martin-Montero, Phillippa Cooper, Ruben Martin, Keary M. Engle|2021|J.Am.Chem.Soc.|143|14981|doi:10.1021/jacs.1c07162