cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xb4tykn5gd.1
title: Ultra-Low-Cost Insulin Pump V2

description: Code files, CAD files and Altium files for the Ultra-low-cost insulin pump V2 presented in a HardwareX paper, containing full assembly instructions. Also included is a BOM for the device.
DOI: 10.17632/f6r6bcp5b3.1
title: Non-steroidal Immune Modulating Therapies and Reduced Risk of Adverse Cardiovascular Events in Dermatomyositis and Polymyositis: Supplemental Information

description: Supplemental Information for JAAD article entitled, "Non-steroidal Immune Modulating Therapies and Reduced Risk of Adverse Cardiovascular Events in Dermatomyositis and Polymyositis: A Cohort Study in the All of Us Research Program"
DOI: 10.17632/3cmwpt23y8.2
title: The bandwagon effect and less interest in election results due to poll exposure; an online experiment

description: We tested in an online experiment how pre-election polls affect voters. We found that votes for the most popular option increased on average by seven~(\%) when polls were shown, feeding from both minority options and options with intermediate popularity. This bandwagon-effect was consistent across different electoral systems and different political issues. Participants that voted for majority options after seeing the polls took more time to vote and showed more interest in the final results. In our experiment participants voted on the distribution of 1200\$ between politically active organization. Our experiment is unique in that it offers both, a highly controlled environment to study voting and voting options that are relevant to participants because of real-world political consequences.
DOI: 10.17632/n5mjjfcdc2.1
title: Cell-specific targeting by Clostridium perfringens β-toxin unraveled: the role of CD31 as the toxin receptor.

description: Data set for publication in Cell Host Microbe, Bruggisser et al: Cell-specific targeting by Clostridium perfringens β-toxin unraveled: the role of CD31 as the toxin receptor.
DOI: 10.17632/wskmmkg6rk.1
title: Combustion speed in ICE: thermodynamic model for combustion speed, expansion speed, data base.

description: An analysis of the turbulent premixed combustion speed in an internal combustion engine using natural gas, hydrogen and intermediate mixtures as fuels is carried out, with different air-fuel ratio and engine speeds. The turbulent combustion speed has been calculated by means of a two-zone diagnosis thermodynamic model combined with a geometric model using a spherical flame front hypothesis. 48 operating conditions have been analysed. At each test point, the pressure record of 200 cycles has been processed to calculate the mean turbulent combustion speed for each flame front radius. An expression of turbulent combustion speed has been established as a function of the turbulence intensity and laminar combustion speed ratio; integral spatial scale and laminar combustion thickness ratio taking into account the instabilities on the flame front. The conclusion of this initial study is that the position of the flame front has a great influence in the expression for calculate the combustion speed. A unified valid correlation for all positions of the flame front has been obtained by adding one correction term based on the expansion speed as a turbulence source. This unified correlation is then valid for all experimental conditions of fuel types, air-fuel ratios, engine speeds, and flame front position. The correlation can be used in quasi-dimensional predictive models to determine the heat released in an ICE
DOI: 10.17632/pj3dkvskr9.1
title: Singapore “housing-index” dataset - building-level marker of socioeconomic status

description: Socioeconomic status (SES) is an important determinant of health that is of interest to policy makers, researchers and other data users. In particular, researchers in health services research and epidemiological studies require SES data to control for confounders. In our previous studies, we used housing type as a surrogate marker for SES and investigated its influence on patients with head and neck cancer, and breast cancer. Here, we describe the housing-index dataset that was constructed for the purpose of our research. To construct the dataset, we merged datasets from the Singapore Land Authority (purchased) and Housing Development Board (public domain). This dataset contains all postal codes in Singapore. Of the residential postal codes, we derived a housing-index which is the mean number of rooms per apartment in the building (codes 1-5). Private residential properties were assigned codes 6-7. The higher the code, the higher the SES. The housing-index dataset was created in 2016 and updated in 2020. This housing-index dataset can be readily linked to existing population and clinical datasets in Singapore using patient's residential address postal code. The added “housing-index” data field serves as a block-level SES measure.
DOI: 10.17632/x2brkgm6dx.1
title: Soccer_GPS_MFDFA_entropy

description: Velocity-derived data in elite women soccer player during official games.
Position are playing positions (MO: Offensive Midfielder, A: Attackers, DC: Central Defenders, DL: Lateral Defenders, MD: Medial Defenders).
Columns are xxx_YYY with xxx is the outcome and YYY is the game segment.
xxx: Mean is mean velocity. CV is coefficient of variation, Max is maximum velocity, ApEn is approximate entropy, SampEnn is Sample entropy, H2 is the Hurst exponent with q = 2, Frac_max and Frac_peak are maximum and peak values from the multifractal (MFDFA) analysis.
YYY: Game is the entire game, MT1 and MT2 are the first and second half-times, Q1, Q2, Q3 and Q4 are the four quarters of the game.
MFDFA is the multifractal detrended fluctuation analysis.
Analyses are conducted using R.
DOI: 10.17632/z9hsp9cj2s.1
title: Co-occurrence network - Augustan History

description: Data set with Historia Augusta representation for 100, 200 e 500 words as well as texts
DOI: 10.17632/fft8c76829.1
title: Prototyping a low-cost open-source autonomous unmanned surface vehicle for real-time water quality monitoring and visualization

description: A low-cost open-source autonomous unmanned surface vehicle (USV) named “iDroneboat” is developed for real-time water quality monitoring and visualization. The iDroneboat equipped with Internet of Things (IoT) sensors transmits real-time water quality data, including dissolved oxygen (DO), electronic conductivity (EC), pH, and water temperature (WT) to the cloud for data sharing through Long-term Evolution (LTE) communication protocols. Since material and supplies needed are readily accessible from online marketplaces or local hardware stores, the iDroneboat is easily replicable for local water quality studies along with citizen-science activities. The iDroneboat appears to be a promising tool to advance environmental research activities, especially for impaired waterways (e.g., lakes and reservoirs). The preliminary result shows that the proposed low-cost platform, iDroneboat, effectively displays water quality components in real-time to the cloud web services (e.g., ThingSpeak), ultimately contributing to citizen science activities and environmental stewardship in water research ecosystems.
DOI: 10.17632/4wyg7vdzzm.3
title: Bank Customer Perceptions

description: Survey data on corporate reputation, relational trust, satisfaction, and loyalty (n=675) as perceived by customers of German banks.
DOI: 10.17632/7sx9288bmx.2
title: Italian public perception of the Russian invasion of Ukraine

description: The test contained 41 questions in total, measured with different scales, divided into 6 thematic areas. 
The questions exploring the Italian population's reaction to the Russian invasion of Ukraine in February 2022, and monitoring this reaction for the first six months of the attack through a six-round survey. Each round involved a representative sample of approximately 1,010 (1,007 -1,015) Italian adult citizens. Participants were asked questions about emotional reactions to the Russian invasion, coping strategies used, solidarity behaviour toward Ukrainian refugees, perceptions of refugees as a threat to the country, trust in national and international authorities to manage the international situation, and prospects for the future. Demographic data of the respondents were also collected.
DOI: 10.17632/s2srkhr9vm.1
title: The Cyclicality of the Finance Premium Over the Business Cycle Economic Modelling

description: This paper examines the main determinants of the cyclicality of the finance premium in the cost channel framework, which has received less attention in the literature. We decompose the finance premium into a cost effect and a leverage effect. We show that in both the cost channel model and the credit channel model (Bernanke, Gertler and Gilchrist 1999), the cyclicality of the finance premium is determined mainly by the size and sign of the leverage effect. Some key factors that determine the leverage effect are, the nature of shocks, the degree of loan persistence in relation to output or net worth, and the stance of monetary policy. 

Here you will also find the manuscript of the paper, the codes and the Technical Appendix
DOI: 10.17632/v6fxf3h3xg.1
title: TIM, a ray-tracing program for METATOY research and its dissemination

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract TIM (The Interactive METATOY) is a ray-tracing program specifically tailored towards our research in METATOYs, which are optical components that appear to be able to create wave-optically forbidden light-ray fields. For this reason, TIM possesses features not found in other ray-tracing programs. TIM can either be used interactively or by modifying the openly available source code; in both cases, it can easily be run as an applet embedded in a web page. Here we describe the basic structure of ... Title of program: TIM Catalogue Id: AEKY_v1_0 Nature of problem Visualisation of scenes that include scene objects that create wave-optically forbidden light-ray fields. Versions of this program held in the CPC repository in Mendeley Data AEKY_v1_0; TIM; 10.1016/j.cpc.2011.11.011 AEKY_v2_0; TIM; 10.1016/j.cpc.2013.10.031
DOI: 10.17632/x5689yhv2n.2
title: Artificial Intelligence, Morality, and Sentience (AIMS) Survey

description: Objective: The AIMS survey provides nationally representative survey data on attitudes towards AI safety, the moral consideration, social integration, and sentience of AIs. One purpose of the AIMS survey is to track how the public’s opinion on this topic changes over time. Another purpose is to provide data for any researchers to use to test their predictions. 

Methods: Nationally representative samples of U.S. adults were recruited with iSay/Ipsos, Dynata, Disqo, and other leading sample panels based on census estimates from the American Community Survey. Survey materials and hypotheses are available on the OSF (see "Citations and preregistrations"). 

Results: Some descriptive statistics and demographic information are in the supplemental results. Additional results are in Sentience Institute’s reports (https://www.sentienceinstitute.org/aims-survey). 

Conclusions: The AIMS survey data offer empirical evidence of how humans extend moral consideration to AIs who exist now and sentient AIs who may exist in the future. The data provide empirical evidence of social perceptions of AIs, attitudes towards AI safety and governance, perceived connectedness to AIs, and forecasts for future human-AI relations. These data serve to ground our expectations regarding U.S. public opinion on AIs and enable us to track how public opinion changes over time.

Citations and preregistrations: This project was designed in 2021 by researchers at the Sentience Institute: Janet Pauketat, Ali Ladak, Jamie Harris, and Jacy Reese Anthis. Wave 1 (2021) was authored by this team and preregistered (https://osf.io/udbhm). The wave 2 (2023) main data was authored by Janet Pauketat, Ali Ladak, and Jacy Reese Anthis and preregistered (https://osf.io/w9h6g). The wave 2 (2023) supplement data was authored by Janet Pauketat and Jacy Reese Anthis and preregistered (https://osf.io/7p2wt).
DOI: 10.17632/bfgzt5rh35.1
title: US Superstore data

description: The online sector, referred to as “clicks,” has been slowly eating up market share in the past two decades. E-commerce platform allows people to buy products from books, toys, clothes, and shoes to food, furniture, and other household items. CONTENT This is simple data set of US superstore from 2014-2018. INSPIRATION So,what questions can be answered looking at this data? How much profit is gained for each product? People from city/state shop the most? -Which customer is regular/loyal over the years? Products having high discount rate? Would love to see your kernels too.
DOI: 10.17632/9dxgbgx86k.3
title: Arabic News Tweets

description: A great size collection of Arabic news tweets was collected from an official and verified users in Twitter that belongs to Saudi Arabia news. All data that is gathered was retrieved using specific time period and collected all news in that time. This dataset does not specify by keywords. Moreover, this news dataset can be valuable for diverse tasks in NLP, such as text classification and automated verification system. The dataset has been labeled as general news, regions news, sport news, economic news, and quality life news. In this data article, 89,179 original tweets have presented and fully labeled.
DOI: 10.17632/b6ybb9ytb5.1
title: PIV and digital image analysis of direct ink writing with acoustophoresis and yield stress fluid support

description: Code and data for: "Changes in filament microstructures during direct ink writing with yield stress fluid support", Leanne Friedrich and Matthew Begley "Printing direction dependent microstructure in direct ink writing", Leanne Friedrich and Matthew Begley "Corner accuracy in direct ink writing with support material", Leanne Friedrich and Matthew Begley Videos were collected from underneath the print nozzle during direct ink writing of polymer matrix composites with acoustophoresis and yield stress fluid support. Particle image velocimetry and digital image analysis are used to characterize the flow field around the nozzle and particle distributions in the printed lines, via MATLAB. Data is analyzed and plotted using Mathematica. In the folder '32_16_3_2_combined', csv files show frame-by-frame results of PIV and digital image analysis measurements which indicate key metrics of the flow field and particle distributions in the region near the nozzle. In the folder 'Examplevids', mp4 files show a subset of the raw videos that the csv files come from, and csv files show timestamps for the beginning of each pass of each prism. In the file names, 'gras' indicates that videos were collected with a PointGrey Grasshopper camera. 'D2' indicates layer-by-layer support, 'D3' indicates bath support, and 'deep3' indicates a deep bath. 'deep3' data are not used in any of the papers. 'u8XX' indicates a UDMA-based ink with 8 wt% fumed silica in the UDMA-silica base and XX wt% TEGDMA in the base-TEGDMA-particles-photoinitiators ink. Polygons were printed on 4 pre-designed slides containing a specific set of polygons in specified locations. 'v_Y' indicates the translation and flow speeds were Y mm/s. '######_######' is a time stamp. 'prism#' indicates the prism number on the given slide. As noted, slides contain a specified set of polygons in a pre-set order. 32 px is the size of the PIV interrogation region. 16 px is the spacing between regions. 3 is the number of sequential frames to use in each PIV measurement. 2 is a vestigial data collection mode; PIV and particle distribution measurements were collected separately and then combined into single files. The folder 'MATLAB' contains the MATLAB '.m' functions and script used to measure flow fields and particle distributions and produce the tables in the folder '32_16_3_2_combined'. MATLAB files were written in MATLAB R2018b. The folder 'Mathematica' contains '.wl' packages and '.nb' notebooks used to analyze the files in the folder '32_16_3_2_combined' and to produce the files in 'Tables'. Files also contain the code used to produce the figures and tables in the three mentioned papers. Files were written in Wolfram Mathematica 11.1. The folder 'Tables' contains several summaries of the data. The README in that folder contains more description of the tables.
DOI: 10.17632/8fr6v9xf6h.1
title: Data for: A deep search method to survey data portals in the whole web: toward a machine learning classification model

description: This dataset contains every artifacts produced throughout the study titled "A deep search method to survey data portals in the whole web: toward a machine learning classification model" (https://doi.org/10.1016/j.giq.2020.101510)—such as computer algorithms, running data, and obtained results—openly provided with the paper. Thus, open data researchers and practitioners can reproduce the method, help in increasing its validity, and even improve it. Readers are invited to refer to the paper.
DOI: 10.17632/9rw3vkcfy4.2
title: Web of Science

description: Copyright (c) 2017 Kamran Kowsari Permission is hereby granted, free of charge, to any person obtaining a copy of this dataset and associated documentation files (the "Dataset"), to deal in the dataset without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Dataset, and to permit persons to whom the dataset is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Dataset. If you use this dataset please cite: Referenced paper: HDLTex: Hierarchical Deep Learning for Text Classification Description of Dataset: Here is three datasets which include WOS-11967 , WOS-46985, and WOS-5736 Each folder contains: -X.txt -Y.txt -YL1.txt -YL2.txt X is input data that include text sequences Y is target value YL1 is target value of level one (parent label) YL2 is target value of level one (child label) Meta-data: This folder contain on data file as following attribute: Y1 Y2 Y Domain area keywords Abstract Abstract is input data that include text sequences of 46,985 published paper Y is target value YL1 is target value of level one (parent label) YL2 is target value of level one (child label) Domain is majaor domain which include 7 labales: {Computer Science,Electrical Engineering, Psychology, Mechanical Engineering,Civil Engineering, Medical Science, biochemistry} area is subdomain or area of the paper such as CS-&gt; computer graphics which contain 134 labels. keywords : is authors keyword of the papers Web of Science Dataset WOS-11967 -This dataset contains 11,967 documents with 35 categories which include 7 parents categories. Web of Science Dataset WOS-46985 -This dataset contains 46,985 documents with 134 categories which include 7 parents categories. Web of Science Dataset WOS-5736 -This dataset contains 5,736 documents with 11 categories which include 3 parents categories. Referenced paper: HDLTex: Hierarchical Deep Learning for Text Classification Bib: @inproceedings{kowsari2017HDLTex, title={HDLTex: Hierarchical Deep Learning for Text Classification}, author={Kowsari, Kamran and Brown, Donald E and Heidarysafa, Mojtaba and Jafari Meimandi, Kiana and and Gerber, Matthew S and Barnes, Laura E}, booktitle={Machine Learning and Applications (ICMLA), 2017 16th IEEE International Conference on}, year={2017}, organization={IEEE} }
DOI: 10.17632/8h9295v4t3.2
title: Historical dataset of mills for Galicia in the Austro-Hungarian Empire/southern Poland from 1880 to the 1930s.

description: We present the dataset of mills from 1880 and 1920s-1930s in the area of the former Galicia (78,500 km2), now in Ukraine and Poland. We found 4,022 mill locations for 1880 and 3,588 for the 1920s-1930s. We present them as shapefile, GML, GeoJSON, KML formats with attributes for seven types of mills for 1880 and ten types of mills for 1920s-1930s, and mills counted in a 10 km grid.

Our data contains two point layers and six grid layers (10 km side squares). All data is available in an open shapefile, GML, GeoJSON, KML formats, commonly used in Geographic Information Systems.
Point layers contain the following attributes for each of the mills: auto-numbered numeric identifier (ID), type (Type), map sheet date (Map_year), longitude (Long), and latitude (Lat).
According to the legend of these maps and explanations, the following types of mills can be distinguished for 1880:

1 – Gristmill (ger. Fruchtmühle),
2 – Sawmill (ger. Sägemühle),
3 – Paper mill (ger. Papiermühle),
4 – Powder mill (ger. Pulvermühle),
5 – Fulling mill (ger. Walkmühle),
6 – Windmill (ger. Windmühle),
7 – Ship mill, (ger. Schiffmühle).

For the 1920s-1930s, the following types of mills were distinguished according to the legend of these maps and explanations.

1 – Watermill,
2 – Steam mill,
3 – Sawmill,
4 – Sawmill with water wheel,
5 – Motor sawmill,
6 – Steam sawmill,
7 – Steam mill,
8 – Windmill,
9 – Wind turbine,
10 – Ship mill.

A reference grid designed by the European Environment Agency (EEA) in the ETRS 1989 LAEA projection (EPSG 9820) was used to create the grid layers, consisting of cells with sides of 10 km. In the set we provide, it contains the following attributes: auto-numbered numeric identifier of the cell (FID), cell code (CellCode), east (EofOrigin) and north (NofOrigin) cell start coordinates and an attribute (Count) in which aggregated mill types are counted for each cell: gristmills, sawmills, windmills 

The data can be used in economic, demographic and environmental reconstructions, e.g. to estimate historical anthropopressure related to settlement, agriculture and forestry. Mills are often associated with river structures such as floodgates, dams, and millraces and therefore they are a good example of human interference in river ecosystems. They can also be one criteria for identifying areas where the local population used traditional environmental knowledge. It can be useful for a contemporary assessment of the environment’s suitability for devices using renewable energy sources. Finally, the data on the remains of former mills is suitable for the protection of cultural heritage sites that are technical monuments related to traditional food processing and industry.

This research was funded by the Ministry of Science and Higher Education, Republic of Poland under the frame of “National Programme for the Development of Humanities” 2015–2021, as a part of the GASID project (Galicia and Austrian Silesia Interactive Database 1857–1910, 1aH 15 0324 83)
DOI: 10.17632/r7tnvx7d9g.1
title: Data for: An experimental sky-image-derived cloud validation dataset for Sentinel-2 and Landsat 8 satellites over NASA GSFC

description: Reference cloud data over NASA GSFC for validating cloud masking algorithm for moderate spatial resolution satellite data, namely Sentinel-2 and Landsat 8.
DOI: 10.17632/pxv3724ry3.1
title: Data-driven Characterization of Cooling Needs in a Portfolio of Co-located Commercial Buildings

description: This dataset contains a measured and cleaned chronological record of cooling consumed during the summer months (May through September) by a hundred and nineteen co-located commercial buildings. The timeseries data is recorded at the daily interval and contains the daily averages of weather-related parameters that reflect the warm Mediterranean climate in which the buildings are located. Additionally, information regarding the physical characteristics and attributes of each building, including the buildings’ area and use type, is also provided. 


More information is available at: https://doi.org/10.1016/j.isci.2024.110398
DOI: 10.17632/g6f4bny8pj.1
title: Data for: Responses of soil respiration and its temperature sensitivity to nitrogen addition: a meta-analysis in China