cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mgkbmytx63.1
title: A low-cost uniaxial cell stretcher for six parallel wells

description: Abstract: Cells in the lungs, the heart, and numerous other organs, are constantly exposed to dynamic forces and deformations. To mimic these dynamic mechanical loading conditions and to study the resulting cellular responses such as morphological changes or the activation of biochemical signaling pathways, cells are typically seeded on flexible 2D substrates that are uniaxially or biaxially stretched. Here, we present an open-source cell stretcher built from parts of an Anet A8 3D printer. The cell stretcher is controlled by a fully programmable open-source software using GCode and Python. Up to 6 flexible optically clear substrates can be stretched simultaneously, allowing for comparative multi-batch biological studies including microscopic image analysis. The cell yield from the cell culture area of 4 cm2 per dish is sufficient for Western-blot protein analysis. As a proof-of-concept, we study the activation of the Yes-associated protein (YAP) mechanotransduction pathway in response to increased cytoskeletal tension induced by uniaxial stretching of epithelial cells. Our data support the previously observed activation of the YAP transcription pathway by stretch-induced increase of cytoskeletal tension and demonstrate the suitability of the cell stretcher to study complex mechano-biological processes. ----- Files: • Acryl3MM.pdf: Ready-to-cut file for the acrylic glass parts needed to build the electronics and controller unit housing and the cell substrate molds. • Acryl6MM.pdf: Ready-to-cut file for the acrylic glass parts needed to build the stretcher unit. • MoldFrame.stl: Ready-to-print file for the 3D printed mold frame. • Clamp.stl: Ready-to-print file for the 3D printed stretching clamps. • Stretcher.zip: Customized version of the Raspbian operating version for the Raspberry Pi. • Raspberry_Pi_Imager_v1.2.zip: Open-source software for Windows PCs to install the Raspberry Pi operating system on a memory card. • Skynet_for_Stretcher.zip: Modified version of the SkyNet3D (Marlin) open-source firmware for Anet 3D printers. • Arduino-1.8.0.zip: Modified version of the Arduino integrated development environment for Windows PCs with a pre-installed driver for uploading software to the ANET A8 mainboard.
DOI: 10.17632/mwh4njxr4y.2
title: Persistent and Transitory Components of Firm Characteristics 3

description: Part 3 of Dataset for replicating Persistent and Transitory Components of Firm Characteristics
DOI: 10.17632/pn8rrgfjzb.1
title: Negative Impacts of ChatGPT on Higher Education: A Critical Review

description: The research "Negative Impacts of ChatGPT in Higher Education: A Critical Review" addresses the challenges brought by the use of artificial intelligence such as ChatGPT in the educational context, focusing on student dependence, superficiality in studies, and increased cases of academic plagiarism. The introduction highlights concerns about technological dependence that can weaken students' critical capacity, leading to superficial learning and plagiarism practices, according to Essel et al. (2023), Valentim and Abreu (2024), and Almeida et al. (2023). The research aims to investigate these negative impacts, filling gaps in the literature and proposing strategies for a more responsible use of technology. The methodology adopted includes a systematic literature review, semi-structured interviews with teachers, and case studies, using content analysis and thematic coding methods. The results indicate that the excessive use of ChatGPT compromises critical skills, promotes superficiality in studies, and facilitates plagiarism. The discussion emphasizes the need for educational policies that integrate AI in an ethical and responsible manner. The conclusion offers guidelines for educators and policymakers to promote the ethical use of ChatGPT in higher education, contributing to the existing literature with valuable guidance. This study contributes significantly to the understanding of the negative impacts of ChatGPT in higher education, proposing strategies that ensure a balance between the benefits and risks associated with the use of this technology.
DOI: 10.17632/jfnjhb33yy.1
title: visual attention dataset

description: This dataset contains raw stimulus files and pre-processed EEG data files corresponding to two visual attention tasks that look at the effect of salient distractors while doing goal-driven tasks. We also provide the reaction time of each trial, 3D sensor location and structural MRI of each participant. This dataset can be used to replicate the experiment across different cohorts of the population using the raw stimulus files and compare it with the normative patterns obtained in the results with this dataset. This dataset was tested on young healthy individuals in the age group of 21-29 years.
DOI: 10.17632/8kpvtwxxtx.3
title: Data for: Techno-economic modelling for energy cost minimisation of a university campus to support electric vehicle charging with photovoltaic capacity optimisation

description: The datasets included here have been used in the research paper titled “Techno-economic modelling for energy cost minimisation of a university campus to support electric vehicle charging with photovoltaic capacity optimisation,” published in the December 2023 issue of the Renewable Energy journal, Volume 219, Part 1, Elsevier. Detailed descriptions of the datasets and the methods used to create them can be found in a paper titled “Travel datasets for analysing the electric vehicle charging demand in a university campus,” which has been submitted to Elsevier’s Data-in-Brief journal. It is currently under review.
DOI: 10.17632/ypff9pyb6z.1
title: Urban Heat Island (UHI) by Local Weather Types (LWT) maps for Lisbon Metropolitan Area (LMA)

description: Urban Heat Island (UHI) by local weather types (LWT) maps for the Lisbon Metropolitan Area (LMA) are made available. 
These maps were derived from the Copernicus Land Monitoring Service climate variables dataset that contains hourly air temperature raster data for 100 European cities (2008-2017), namely Lisbon and part of its metropolitan area.
Fifteen raster GeoTIFF maps (Appendix 1) depicting UHI intensity by LWT in LMA are presented here. For each LWT, twenty-four hourly average UHI raster GeoTIFF maps are provided for each LWT (Appendix 2 to 16). 
Thermal summer: 
 Raster GeoTIFF maps with the name “SUmild_cloudy” represent average UHI on mild, cloudy and humid days with light rain and moderate NW winds.
 Raster GeoTIFF maps with the name “SUmildNW” depict average UHI on mild, sunny and humid  days with moderate NW and N winds.
 Raster GeoTIFF grids with the name “SUmildN” represent average UHI intensity on mild, sunny and humid days with strong N winds.
 Raster GeoTIFF maps with the name “SUhot” indicate average UHI on hot, sunny and humid summer days with moderate N winds.
 Raster GeoTIFF maps with the name “SUvhot” depict average UHI on very hot, sunny and humid days with moderate N winds. 

Thermal winter 
Raster GeoTIFF maps with the name “WcoldN” indicate average UHI on cold, cloudy and dry days with weak and variable winds, specially from N and NW.
Raster GeoTIFF grids with the name “WcoldSW” depict average UHI on cold, cloudy, rainy and dry days with moderate SW and W winds.
Raster GeoTIFF maps with the name “WvcoldN” represent average UHI on very cold, sunny and dry with moderate N winds.
Raster GeoTIFF maps with the name “WvcoldNE” represent average UHI on Very cold, sunny and dry with weak NE, E and N winds.

Thermal spring 
Raster GeoTIFF maps with the name “ScoldNW” represent average UHI on cold, cloudy and dry days with weak precipitation and moderate and variable winds, specially from NW, SW and W.
Raster GeoTIFF maps with the name “ScoldN” depict average UHI on cold with moderate cloud coverage, dry and with moderate N winds.
Raster GeoTIFF maps with the name “Smild” indicate average UHI on mild, sunny and humid spring days with moderate N winds.

Thermal autumn
Raster GeoTIFF grids with the name “Acold” indicate average UHI on cold, with moderate cloud cover and dry days with moderate N and NE winds.
Raster GeoTIFF maps with the name “Acool” indicate average UHI on cool, cloudy, humid and rainy days with moderate SW and W winds .
Raster GeoTIFF maps with the name “Amild” represent average UHI on mild, with moderate cloud cover, humid, with possibility of rain and weak N, NE and S winds.

Raster GeoTIFF maps representing hourly average UHI intensity by LWT (Appendix 2 to 16) share the same name but end with with the respective hour (example: “SUmild_cloudy_1am” - hourly average UHI intensity at 1 am on mild, cloudy and humid summer days). 

An ArcGIS symbology layer (∗.lyr), named “UHI_symbology”, is also provided.
DOI: 10.17632/867g3sz6bj.1
title: Third-Person Perception of COVID-19 Misinformation and Media Literacy

description: The COVID-19 pandemic has highlighted the role of media literacy skills in navigating the plethora of misinformation being shared through media platforms. The primary objective of this study is to investigate the relationship between third-person effect (TPE) towards COVID-19 misinformation and media literacy, and how they are associated with health behaviors. By using an online survey, this study conducted regression and mediation analysis through a bootstrapping method (N = 272).
DOI: 10.17632/nbryzxhsjw.1
title: Comparing Factor Models with Price-Impact Costs

description: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Replication package for "Comparing Factor Models with Price-Impact Costs''
by Sicong Li, Victor DeMiguel, and Alberto Martin-Utrera. 
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

To replicate the main analysis in the paper, please run the Python code "TORUN-SaveMainBodyTablesFigures.py". To obtain this Table 8 of the main body of the manuscript, one needs to run the Python code "TORUN-SaveMultipleModelComparisonResults.py". Running each code generates a .tex file that could be compiled to generate a .pdf file that illustrates the results. The package also contains a detailed readme file to help users to run the codes.

The replicated tables and figures are not always identical to those reported in the paper. This is because we have perturbed some of the data (e.g., the individual firm returns) in order to protect the proprietary nature of the data.

We include two .pdf files that contain the full set of results replicated from this package.
DOI: 10.17632/n3xn3txy8w.1
title: Metal forms and dynamics in urban stormwater runoff from a polluted creek system in Melbourne, Australia.

description: Stormwater runoff contains significant quantities of metal contaminants that enter urban waterways over short durations and represent a potential risk to water quality. The origin of metals within the catchment and processes that occur over the storm can control the partitioning of metals between a range of different forms. Understanding the fraction of metals present in a form that is potentially bioavailable to aquatic organisms is essential for environmental risk assessment. 

To help provide this information, the forms and dynamics of metal contaminants in an urban system were assessed across a storm. Temporal patterns in the concentration of metals in dissolved and total suspended solids (TSS) were assessed from water samples, and diffusive gradients in thin-films (DGTs) were deployed to measure the DGT-labile time-integrated metal concentration. 

Water samples were collected during baseline, during storm (inclusive of rising and falling storm limbs) and post storm conditions using grab sampling and rising stage sampler methods. Grab samples were collected as triplicates and rising stage samples were collected as duplicates. All DGTs were deployed in triplicates. 

All water samples were filtered (0.45 um) and sample filtrate was collected to assess the dissolved metal concentration, dissolved organic carbon concentration, dissolved organic matter characterisation and the concentration of major ions (including alkalinity). The 0.45 um filter was used to determine the TSS metal concentration. 

All sampling timepoints along the storm hydrograph were modified into stormtime by calculating the difference in hours (h) or days (d) of the sampling timepoints from the beginning of the storm (time = 0).
DOI: 10.17632/5prmtwgph3.3
title: Raw GNSS data, Xiaomi Mi 8, 10 minutes, 3 points, 40 days

description: The dataset is related to the paper "Practical applicability of processing static, short-observation-time raw GNSS measurements provided by a smartphone under tree vegetation" available at https://authors.elsevier.com/a/1cy9gxsQaEe%7E8
 The data from 40 days of raw GNSS measurements acquired using Xiaomi Mi8 smartphone.
The folders are named according to the day of measurement. The "gp" suffix means the data acquired with the application of a ground plane (i.e. first 20 days without the ground plane, next 20 days with the ground plane).
Sub-folders are named according to time of measurement, with the soonest being the open-area point, the middle is the partial-canopy point, and the latest the full-canopy point.
The rinex files in the sub-folders are named GEO* for the rover (smartphone) and BBYS* for BBYS CORS (base)
If you use GNSS analysis app, check GNSSlogger for GNSS logger logs (.txt). This data may differ from RINEX data as the acquisition time was slightly longer.
In case of need, there are BRDM ephemeris data for every day in the related folder.
Reference coordinates (both WGS84 and UTM 34N) are in the textfile.
In case of questions, contact the authors.
DOI: 10.17632/p8ts76xmfd.1
title: Proteomic and Metabolomic Analyses of Blood Samples of Highly Trained Athletes

description: Proteomic and Metabolomic Analyses of Blood Samples of Highly Trained Athletes
DOI: 10.17632/2mcwfc5dvs.2
title: A Comprehensive Synthetic Underwater Image Dataset

description: The dataset contains 100 photographic images that are treated as ground-truth images. On each ground truth image, the effects of underwater environment are applied and 150 synthetic underwater images are generated. Hence, the data set contains 100 ground-truth photographic images and 100*150=15000 synthetic underwater images. Four effects of the underwater environment, i.e., color cast, blurring, contrast reduction, and low light, are considered. These effects are applied individually and in combinations. Four effects result in a total of 15 combinations, and the effect of each combination is varied by considering 10 levels. This results in a total of 150 images for a single ground-truth image. In addition to this, 21 focus metrics are evaluated on all these 1,50,100 images. The metrics calculated are Absolute central moment (ACMO), Brenner's focus measure (BREN), Image curvature (CURV), Gray-level variance (GLVA), Gray-level local variance (GLLV), Gray-level variance normalized (GLVN), Squared gradient (GRAS), Helmli's measure (HELM), Histogram entropy (HISE), Histogram range (HISR), Energy of Laplacian (LAPE), Diagonal Laplacian (LAPD), Modified Laplacian (LAPM), Variance of Laplacian (LAPV), Tenengrad variance (TENV), Vollat's correlation (VOLA), Wavelet ratio (WAVR), Wavelet sum (WAVS), and Wavelet variance (WAVV). The literature categorizes these metrics as gradient-based and non-gradient-based.
DOI: 10.17632/jn9t72frxh.1
title: Data for: Protecting child nutritional status in the aftermath of a financial crisis: Evidence from Indonesia

description: Abstract of associated article: In response to concerns over the vulnerability of the young in the wake of Indonesia's 1997–1998 economic crises, the Government of Indonesia implemented a supplementary feeding program to support early childhood nutritional status. This paper exploits heterogeneity in duration of program exposure to evaluate the impact of the program on children aged 6 to 60months. By examining differences in nutritional status of treated younger children and a placebo group of older children, the analysis finds that the program improved the nutritional status of treated children, and most significantly, led to 7 and 15% declines in rates of moderate and severe stunting, respectively, for children aged 12 to 24months who were exposed to the program for at least 12months over two years.
DOI: 10.17632/2zpbjs22k3.1
title: Indonesian News Corpus

description: This corpus contains 150,466 news articles, which is derived from several freely accessible Indonesian news website. The corpus is designated for research purpose only. The news websites are: • kompas.com is a registered trademark of PT. Kompas Cyber Media. https://inside.kompas.com/about-us • tempo.co is a registered trademark of PT INFO MEDIA DIGITAL. https://www.tempo.co/about • merdeka.com is a registered trademark of PT KAPAN LAGI DOT COM NETWORKS. https://www.merdeka.com/company/tentang-kami.html • republika.co.id is a registered trademark of PT Republika Media Mandiri. https://www.republika.co.id/page/about • viva.co.id is a registered trademark of PT. Viva Media Baru. https://www.viva.co.id/tentang-kami • tribunnews.com is a registered trademark of PT Tribun Digital Online. http://www.tribunnews.com/about-us The corpus is a part of bachelor thesis work of Aad Miqdad Muadz Muzad under the supervision of Faisal Rahutomo. We crawled several categories of the websites for 6 months from July 2015 until December 2015.
DOI: 10.17632/yx3bj2rw3g.2
title: User subroutine for modeling transient swelling of hydrogels with Abaqus
DOI: 10.17632/wzchzbm58p.2
title: Dropen_V01

description: Dropen is a fully automatic drop image analysis software in order to study the wetting properties of solid surfaces. It also includes the manual selection and fitting approaches. This software is developed in MATLAB using GUIDE. Regarding the identification of contact points two approaches are provided in Dropen: 1. Automatic: determines the left and right contact points automatically using a precise image processing code; 2. Manual: let the user select the left and right contact points manually by pushing the “Manual selection” button. In the case of the wrong selection of contact points the software let the user try two more times without a need to push the “Manual selection” button again. Regarding the contact angle measurement, the software provides a fully- automatic convolution mask method and also fitting with the circle and polynomial equations. So, the contact angle measurement panel includes: 1. Mask method: the fully automatic contact angle measurement, 2. Fitting: includes: a. Circle b. Polynomial: user can change the polynomial order. Regarding our studies, the optimum polynomial order for superhydrophilic droplets is two and for the rest of the droplets is Three. So, it is recommended to do not to change the polynomial order. After choosing the contact point identification and contact angle measurement methods, push the RUN button to find the results in the Result panel. In addition, the magnified images of the left and right contact areas are presented there. The drop contour line and the contact points have been shown with blue and red markers on the image, respectively. It is possible to save the contact angle data, as well as the left and right contact area images by pushing the corresponding push buttons. This software is developed in SEFILAB at the Department of Materials science, University of Milano-Bicocca, and is available at the UNIMIB repository (http://dx.doi.org/10.17632/wzchzbm58p.2). This repository will be updated by the new modified versions of the software.
DOI: 10.17632/77p6rzb73n.5
title: CSIQ: A Synthesized Dataset of Code Smells, Issues and Quality related Artifacts from Open Source Repositories

description: The dataset contains synthesized code smells, issues, quality, and source code metrics information of 60 versions under 10 different repositories. The dataset is extracted into 3 levels: (1) Class (2) Method (3) Package. The dataset is created upon analyzing 9,420,246 lines of code and 173,237 classes.  The provided dataset contains following folders: code smells, issues, quality attributes, synthesized and four associated Comma Separated Values (CSV) files: repositories.csv, versions.csv, codesmells.csv and attribute − details.csv. The first file (repositories.csv) contains general information (repository name, URL, number of commits, stars, forks, etc.) to understand the size, popularity, and maintainability.   File versions.csv contains general information (version unique ID, number of classes, packages, external classes, external packages, version repository link) to provide an overview of versions and how over time the repository continues to grow. File  attribute-details.csv  contains detailed information  (attribute name,  attribute short form, category, and description) about extracted static analysis metrics and code quality attributes.  The short form is used in the real dataset as a unique identifier to show value for packages, classes, and methods. File codesmells.csv provides the information (Rule, Code Smell, Rule Description) of code smells analyzed from each version.
DOI: 10.17632/ggfpdg3yjg.1
title: Data for: Method of Artificial Intelligence Algorithm to improve the automation level of Rietveld refinement
DOI: 10.15468/dl.jf47gb
title: Occurrence Download

description: A dataset containing 299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pittosporum eugenioides A.Cunn.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 299 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009271-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6bfs55tvdh.1
title: Infrared spectra of primary amine and some aldehydes with their corresponding Schiff base obtained using Invenio-R spectrometer

description: 11 Infrared spectra were obtained using Invenio-R spectrometer from 2-aminothiophenol, some aldehydes and their corresponding Schiff base