cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/77vtmjrhsm.1
title: A new finding relating subatomic particles' mass to the square of the magnetic flux quantum provides a novel interpretation of the mass and a novel Wave Function interpretation.

description: The motivation for investigating the issues presented in this article stemmed from a need to understand better the relationship in long-established physics formulas and extract the information they provided using conventional methods. Based on the definition of magnetic flux quantization, which is based on a combination of fundamental physical constants, the Planck constant, and the particle’s elementary charge, this work explores the results that arise when this equation is combined with the equation of the Bohr-level electrostatic force acting on the electron, which leads to a new mathematical relationship between the combined expressions. The new relationship yields novel theoretical findings related to the known universal constants. Following this insight, the formalism developed in this paper indicates that the mass of the electron and other subatomic particles is associated with the magnitude of the square of the magnetic flux quantum, which makes up the particle. This conclusion is not as strange as it may seem, as the square of the magnetic flux quantum appears in the context of magnetic energy in a current loop and, according to Einstein’s special theory of relativity, energy is equivalent to mass. Another aspect described at the end of this paper demonstrates the connection between the square of the magnetic flux quantum through the Bohr radius and the significance of the wave function in the atom. The theoretical results are in full accordance with experimental results published by NIST CODATA 2018 that I’ve used, which validates the existence of the relationship.
DOI: 10.17632/j5zjb46tr7.1
title: Validity and Reliability of the Executive Function Scale (UEF-1) in Cuban University Students

description: Introduction: Executive functions are higher cognitive skills involved in planning, organization, decision-making, impulse control, and working memory. It is essential to have tools that allow for the accurate and reliable assessment of this construct in university students. This study aims to evaluate the validity and reliability of the Executive Functions Scale for University Students (UEF-1) in the Cuban population. Methods: A cross-sectional study was conducted in which an online survey was administered to 1092 Cuban university students representing 14 of the country's 16 provinces. Descriptive analyses, confirmatory factor analyses, and Pearson correlation analyses were used to assess the psychometric properties of the scale. Results: Significant correlations were obtained between the scale factors, and the original seven-factor structure was confirmed. The scale demonstrated good internal consistency and overall reliability (α = .91, ω = .91). Conclusions: The study provided evidence that the UEF-1 is a reliable and valid tool for assessing executive functions in Cuban university students. This measure provides a comprehensive understanding of the cognitive abilities and functioning of Cuban university students, allowing for the identification of specific areas of executive functioning that may benefit from additional support or intervention.
DOI: 10.17632/cdjd7chk6g.1
title: Humor and emotion regulation in remitted depression.

description: This is SPSS file including data from two stages of the study: diagnostic (psychiatric diagnosis, SCID I diagnosis, BDI II, pharmacotherapy) and experimental (laboratory experiment with negative emotion induction). The experiment was based on a computer procedure consisted of Phase 1 and Phase 2, during which participants observed a series of the same 28 negative pictures that were selected from the International Affective Picture System (IAPS; Lang et al., 1997) and covered a variety of aversive stimuli. In Phase 1, participants simply viewed the 28 pictures and after each one rated their responses (positive emotions, negative emotions, and distance from adversity). Each response was assessed on a single visual analogue scale (VAS) ranging from 0 (not at all) to 100 (as strong as possible). In Phase 2, participants viewed each picture a second time, under instructions either to (a) use humor, (b) use positive reappraisal or (c) simply view. Pictures were randomly assigned to each of the 3 conditions with 8 pictures attributed to each instruction (4 pictures used for examples). Phase 2 consisted of three 8-picture blocks randomly presented for each participant. After each picture, patients rated their responses once again, and in addition, they specified the effort associated with generating the comment on the VAS scale The structure of each trial in Phase 2 was as follows. After an instructional slide asking to comment on the situation in a certain way, each picture was presented on the screen (except in the control condition, participants could take as much time as they wanted). After each humor/reappraisal trial, patients were asked whether they were able to produce the target comment (yes/sort of/no). Then, they typed out their humorous comment/reappraisal statement or explained why they did not generate it. Next, patients rated their responses again and additionally reported the effort related to generating a comment, also on the VAS scale. To facilitate the task, each block (except for the control condition) was preceded by two pictures from Phase 1, with written examples for humor or positive reappraisal, taken from the pilot study. At the end of the experiment, participants were shown a series of 9 positive pictures selected from the IAPS database, and reported their positive and negative emotions (debriefing procedure). As such, 3 repeated measurements are visible in the database I – Phase 1 (measurements of dependent variables for each of 28 pictures) II – Phase 2 (measurements of dependent variables for each of 28 pictures within 3 conditions: A (humor), B (positive reappraisal), C (spontaneous emotion regulation). III - Debriefing
DOI: 10.17632/rf4skk7235.1
title: Data and code for "Regulatory Costs of Being Public: Evidence from Bunching Estimation"

description: This is the replication package for the paper "Regulatory Costs of Being Public: Evidence from Bunching Estimation" (Ewens, Xiao and Xu, forthcoming Journal of Financial Economics)
DOI: 10.17632/v6n743h5ng.1
title: Embryoid Body data for PHATE

description: Single cell RNA sequencing for embryoid body data generated over 27 day time course. Bulk RNA-sequencing data was generated from FACS sorted embryoid bodies using the indicated surface marker. Used to demonstrate the data visualization method PHATE.
DOI: 10.15468/dl.w7dvzu
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((124.74276 -8.33629,144.25724 -8.33629,144.25724 5.33629,124.74276 5.33629,124.74276 -8.33629))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinga Widjaja"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009387-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/r6fjtx943d.1
title: Near infrared spectral Dataset of Animal Feed

description: Dataset contain Infrared spectral data in form of Absorbance spectrum for a total of 25 Animal feed samples from agricultural residues (Sago, coffee pulp, cocoa pod and corncob). Nutritive values were measured: IVOMD, IVDMD, NDF and ADF.
DOI: 10.17632/cv6cyfgmcd.3
title: Geospatial Datasets for Assessing Vulnerability of Bangladesh to Climate Change and Extremes

description: The present dataset provides necessary indicators of the climate change vulnerability of Bangladesh in raster form. Geospatial databases have been created in Geographic Information System (GIS) environment mainly from two types of raw data; socioeconomic data from the Bangladesh Bureau of Statistics (BBS) and biophysical maps from various government and non-government agencies. Socioeconomic data have been transformed into a raster database through the Inverse Distance Weighted (IDW) interpolation method in GIS. On the other hand, biophysical maps have been directly recreated as GIS feature classes and eventually, the biophysical raster database has been produced. 30 socioeconomic indicators have been considered, which has been obtained from the Bangladesh Bureau of Statistics. All socioeconomic data were incorporated into the GIS database to generate maps. However, the units of some variables have been adopted directly from BBS, some have been normalized based on population, and some have been adopted as percentages. 12 biophysical system indicators have also been classiﬁed based on the collected information from different sources and literature. Biophysical maps are mainly classified in relative scales according to the intensity. These geospatial datasets have been analyzed to assess the spatial vulnerability of Bangladesh to climate change and extremes. The analysis has resulted in a climate change vulnerability map of Bangladesh with recognized hotspots, significant vulnerability factors, and adaptation measures to reduce the level of vulnerability.
DOI: 10.17632/s8kbw25s3x.1
title: Diabetic Retinopathy Analysis Challenge Dataset

description: The dataset used in the Diabetic Retinopathy Analysis Challenge (DRAC).
DOI: 10.17632/nypkh6shk5.1
title: Improving substance misuse outcomes in Contingency Management treatment with adjunctive formal psychotherapy: A systematic review and meta-analysis dataset
DOI: 10.17632/nx3ggv7pxf.4
title: Tree Image Dataset for Biophysical Parameter Estimation using Stereoscopic Vision

description: This dataset contains 251 stereoscopic image pairs of full trees obtained from a replanted section of the Kieni Forest in Kiambu County, Kenya and 90 stereoscopic image pairs of tree trunks obtained from recreation parks at the Dedan Kimathi University of Technology, Nyeri, Kenya. In addition, two sets of 30 and 29 calibration image pairs have also been provided for the benefit of those who prefer to perform camera calibration on their own. This dataset can be used to study the use of stereo vision for extracting tree biophysical parameters of trees.
The dataset is uploaded as a single Zip file, which upon extracting unfolds into five folders and three CSV files. All filenames for images of full trees and trunks follow the convention [CAPTURE_TYPE][SEQUENCE_ID]_[IMAGE_ID]-[STEREO_ID]. CAPTURE_TYPE can be FT or T representing 'full tree' and 'trunk' respectively. SEQUENCE_ID refers to the position of the image in the capturing sequence. IMAGE_ID contains the time stamp for the time the image was captured. STEREO_ID can be LEFT or RIGHT depending on whether it is the left or right image.

Below is a description of the folders and files in the dataset:
1. full_trees: Contains 251 stereoscopic image pairs (502 images) of full trees captured during field data collection at Kieni Forest, and 251 corresponding segmentation masks (to make a total of 753 images). The ground truth values for the crown diameters (CD) and the tree heights (TH) of these trees are contained in the 'full_trees.csv' file.
2. trunks: Contains 90 stereoscopic image pairs (180 images) of tree trunks captured during field data collection at the Dedan Kimathi University of Technology,  and 90 corresponding segmentation masks (to make a total of 270 images). The ground truth values for the diameters at breast height (DBH) of these trunks are contained in the 'trunks.csv' file.
3. Calib-v1 (folder): Contains 29 calibration image pairs from which calibration parameters can be obtained. These parameters should be applied only to the images in the 'full_trees*' folders. 
4. Calib-v2 (folder): Contains 30 calibration image pairs from which calibration parameters can be obtained. These parameters should be applied only to the images in the 'trunks' folder. 
5. full_trees.csv: Contains the ground truth values for the CD and TH of the 251 trees measured at Kieni Forest. Each tree in the images inside the 'full_trees' folder has its CD and TH value in this file.
6. trunks.csv: Contains the ground truth values for the DBH of the 90 trees measured at the Dedan Kimathi University of Technology. Each tree in the images inside the 'trunks' folder has its DBH value in this file.

Before capturing the images in this dataset, camera calibration was performed using the well-known OpenCV library. For the meaning of the individual camera parameters in the text and YAML files, please refer to this article by OpenCV: https://docs.opencv.org/3.4.15/d9/d0c/group__calib3d.html
DOI: 10.17632/hkb3923nj3.1
title: International survey on covid-19 lockdowns and mobility behaviour

description: Survey motivation: COVID-19 outbreaks in spring of 2020 forced regional and national governments t impose lockdowns, ie. movement restrictions within their municipalities. How did people react to these lockdowns in terms of commutes to work places and educational institutions. Survey implementation: All available language versions were implemented in the online polling tool www.surveymonkey.com. Files: Results_All_Merged_NUTS3_NEW_3.csv: original survey data with additions (eg. NUTS3 regions of respondent's place of residence) 2020-07-03_questionnaire-metadata.pdf: metadata of variables 2020-07-03_questionnaire-skip-logic.pdf: metadata and skip logic of questionnaire The following people provided translations: The support of following people for providing local language translations is acknowledged: Mohammad Sadegh Aminian (FA), Miha Lokar (SI), Amphai Wejwithan (TH), Leo Schmieder & Benno Schmieder (IT), Ralitsa Dimova (BG), Barbara Laa (FR), Ebru Vesile Öcalir (TR), Simone Becker Lopes (BR), Igor Ripka & Genia Ortis (SK), Dana-Maria Tutui (RO), Francisco Porras Bernárdez (ES), Rie Matsui & Han Woong Yoo (KR), Aso Validi (KU), Miklos Radics & Flora Bolonyai (HU), Masria Mustafa (MS), Jitka Ondráčková (CZ), Takeru Shibayama (JP) and Ulrich Leth (DE), as well as Yu & Chie Nakajima, Zanariah Abd Rahman and Reynaldo Siahaan. Further information on the survey incl. first results are available here: https://blog.fvv.tuwien.ac.at/corona/
DOI: 10.17632/v9679528f7.1
title: Inflation- Unemployment Data & Analysis Codes (R)

description: This data is used for examination of inflation- unemployment relationship for 18 countries after 1991. Inflation data is obtained from World Bank database (https://data.worldbank.org/indicator/FP.CPI.TOTL.ZG) and unemployment data is obtained from International Labor Organization (http://www.ilo.org/wesodata/). Analysis period is different for all countries because of structural breaks determined by single point change point detection algorithm included in changepoint package of Killick & Eckley (2014). Granger-causality is conducted with Toda&Yamamoto (1995) procedure. Integration levels are determined with 3 stationary tests. VAR models are run with vars package (Pfaff, Stigler & Pfaff; 2018) without trend and constant terms. Cointegration test is conducted with urca package (Pfaff, Zivot, Stigler & Pfaff; 2016). All data files are .csv files. Analyst need to change country index (variable name: j) in order to see individual results. Findings can be seen in the article. Killick, R., & Eckley, I. (2014). changepoint: An R package for changepoint analysis. Journal of statistical software, 58(3), 1-19. Pfaff, B., Stigler, M., & Pfaff, M. B. (2018). Package ‘vars’. Online] https://cran. r-project. org/web/packages/vars/vars. pdf. Pfaff, B., Zivot, E., Stigler, M., & Pfaff, M. B. (2016). Package ‘urca’. Unit root and cointegration tests for time series data. R package version, 1-2. Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of econometrics, 66(1-2), 225-250.
DOI: 10.15468/dl.vf7e9w
title: Occurrence Download

description: A dataset containing 4964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pleioblastus Nakai"
 ]
}

 The dataset includes 4964 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009388-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9c2tz2xfyv.1
title: Osteoporosis DEXA Scans Images of Spine from Pakistan

description: The dataset contains the DEXA scan images of spine infected due to osteoporosis . All images was obtained with the help Nishtar Medical Hospital, Multan Pakistan, from October 1, 2020 to December 9, 2020.
DOI: 10.17632/cmpjr5ktmp.3
title: FeynCalc 10: Do multiloop integrals dream of computer codes?

description: In this work we report on a new version of FeynCalc, a Mathematica package widely used in the particle physics community for manipulating quantum field theoretical expressions and calculating Feynman diagrams. Highlights of the new version include greatly improved capabilities for doing multiloop calculations, including topology identification and minimization, optimized tensor reduction, rewriting of scalar products in terms of inverse denominators, detection of equivalent or scaleless loop integrals, derivation of Symanzik polynomials, Feynman parametric as well as graph representation for master integrals and initial support for handling differential equations and iterated integrals. In addition to that, the new release also features completely rewritten routines for color algebra simplifications, inclusion of symmetry relations between arguments of Passarino–Veltman functions, tools for determining matching coefficients and quantifying the agreement between numerical results, improved export to Latex and first steps towards a better support of calculations involving light-cone vectors.
DOI: 10.17632/468sdvzb5z
title: A Physics-Informed Neural Network-Enhanced Material Point Method for Regression Simulation of Solid Propellant

description: Supplementary materials for the manuscript include a one-dimensional neural network model for predicting combustion rate and AP particle size distributions for four Miller packs. The particle size distribution is composed of the x, y coordinates and radius r of the particles.
DOI: 10.17632/8gf9vpkhgy.2
title: Chest X-ray dataset for lung segmentation

description: The proposed dataset has been combined from three popular lung segmentation datasets: Darwin, Montgomery, and Shenzhen. The combined data allow researchers and clinicians to gain access to a good quality dataset, a large proportion of which has been manually annotated. The combined dataset consists of 6,810 images, with corresponding binary masks of lungs with the following distribution of images between the three datasets:
•	6,106 images from the Darwin dataset;
•	139 images from the Montgomery dataset;
•	566 images from the Shenzhen dataset.

The Darwin dataset [1, 2] images include most of the heart, revealing lung opacities behind the heart, which may be relevant for assessing the severity of viral pneumonia. The lower-most part of the lungs, where visible, is defined by the extent of the diaphragm. Where present and not obstructive to the distinguishability of the lungs, the diaphragm is included up until the lower-most visible part of the lungs. A key property of this dataset is that image resolutions, sources, and orientations vary across the dataset, with the smallest image being 156x156 pixels and the largest being 5600x4700 pixels. Furthermore, we included the portable X-ray images which are of significantly lower quality as compared to standard X-rays. A key limitation of the Darwin dataset is that it does not contain lateral X-ray lung segmentations. It is worth noting that lung segmentations were performed by human annotators using Darwin's Auto-Annotate AI and then adjusted and reviewed by expert radiologists.

Both the Montgomery and Shenzhen datasets [3] were published by the United States National Library of Medicine and are made of posteroanterior chest X-ray images. These images are available to foster research in computer-aided diagnosis of pulmonary diseases with a special focus on pulmonary tuberculosis. The datasets were acquired from the Department of Health and Human Services (Maryland, USA) and Shenzhen №3 People's Hospital (Shenzhen, China). Both datasets contain normal and abnormal chest X-ray images with manifestations of tuberculosis and include associated radiologist readings.

References:
1. 	Darwin’s Auto-Annotate AI. Available: https://www.v7labs.com/automated-annotation
2. 	COVID-19 X-ray dataset. Available: https://github.com/v7labs/covid-19-xray-dataset
3. 	Jaeger S, Candemir S, Antani S, Wáng Y-XJ, Lu P-X, Thoma G. Two public chest X-ray datasets for computer-aided screening of pulmonary diseases. Quant Imaging Med Surg. 2014;4: 475–477. doi:10.3978/j.issn.2223-4292.2014.11.20
DOI: 10.17632/cn2ddk982f.1
title: List of reviewed studies on green cosmetic consumption

description: List of all reviewed studies for manuscript entitled: "Critical determinants influencing consumers’ decision-making process to buy green cosmetics. A systematic literature review"
DOI: 10.17632/b2xjhzsh94.1
title: Original western blot images for CR-MEDICINE-D-24-00668

description: Original western blot images for CR-MEDICINE-D-24-00668R2
DOI: 10.17632/txn6vz28g9.2
title: Image Dataset of Indian Coins

description: The "Image Dataset of Indian Coins" is a meticulously curated and comprehensive collection comprising a total of 6,672 good-quality images, each offering a detailed visual representation of coins that are an integral part of India's currency system. The dataset has been thoughtfully organized into separate folders, dedicated to various coin denominations, including 25 paisa, 50 paisa, 1 rupee, 2 rupee, 5 rupee, 10 rupee, and 20 rupee. Within each denomination folder, a wealth of imagery captures the distinct characteristics of both the obverse (front) and reverse (back) sides of the coins. This dual-perspective approach offers a comprehensive view of the intricate designs, symbols, inscriptions, and historical elements present on each coin.
DOI: 10.17632/6568twy892.2
title: Data for: An 11 million-year-long record of astronomically forced fluvial-alluvial deposition and paleoclimate change in the Early Cretaceous Songliao synrift basin, China

description: Lithology, Lithology rank and GR data of SS4
DOI: 10.17632/fpt7rbx6hf.2
title: Soil water retention curves of old store-and-release covers

description: Soil water retention curves at 14 selected matric potentials of old store-and-release covers in Mpumalanga Highveld, South Africa
DOI: 10.17632/frwx574pnm.1
title: Data for: Weighting and Reweighting of Visual Input via Head Mounted Display given Unilateral Peripheral Vestibular Dysfunction

description: Dataset including all values (gain, phase, PSD) and videos of the scenes
DOI: 10.17632/ws9pwxkbb2.4
title: Case Studies for Optimal Placement and Control of Valves and Chlorine Boosters in Water Networks

description: EPANET models and corresponding information needed to formulate the problem of optimal placement and control of valves and chlorine boosters in water networks for case studies used in - "Relax-Tighten-Round Algorithm for Optimal Placement and Control of Valves and Chlorine Boosters in Water Networks" by Filippo Pecci, Ivan Stoianov and Avi Ostfeld (2020) - "Convex Heuristic for Optimal Placement and Control of Valves and Chlorine Boosters in Water Networks" by Filippo Pecci, Ivan Stoianov and Avi Ostfeld (2020) Acknowledgments: Filippo Pecci and Ivan Stoianov are supported by EPSRC (EP/P004229/1, Dynamically Adaptive and Resilient Water Supply Networks for a Sustainable Future). Avi Ostfeld is supported by the Israel Science Foundation (grant No. 555/18).
DOI: 10.17632/wx8zn7dtc5
title: Jebba REE

description: This is comprehensive rare earth elements data for Jebba