cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6ykcky2bkc.1
title: Influence of aluminum concentration on the properties of NiCrCoFeMnAl high entropy alloy

description: Designing of high-entropy alloys (HEAs) is one of the most important directions of developing modern materials science. Currently, the full range of new developed HEA materials and their possible properties are still rarely revealed. Obtaining such multicomponent alloys is a complex scientific and technological task, therefore, to obtain an alloy with certain properties, designing the right elements and their concentrations and predicting their reliable properties are of great critical. In this paper, the influence of aluminum concentration on the phase composition and properties of Nickel alloys treated at a temperature of 600 ° C, the results are predicted using computer modeling of material properties. The experiments showed a significant effect of Al concentration on the phase composition of the material, density, young's modulus, electrical conductivity, thermal conductivity, and molar volume.
DOI: 10.17632/mgxdkznby7.1
title: Cultural Context Index - US Census Tracts

description: To create a measure of social determinants of health in geographic areas with varying ethnic, linguistic, and religious diversity in the US we extracted geographic information systems data based on community characteristics that have known associations with population health disparities from 2015 to 2019. We used principal component analysis to construct a Cultural Context Index (CCI). We created the CCI for 73,682 census tracts across 50 states and five inhabited territories by ranking and dividing into quintiles.
DOI: 10.17632/b57t9psp65.2
title: AMC 10 Problems Analysis

description: This is a primary dataset that consists of the 975 problems (39 tests × 25 questions per test) that have been flagged with the key concepts tested. The resulting dataset is comprised of 300 concepts which were sub-grouped under 41 high level topics. These 41 topics then roll under one of the 4 major subject areas in competition mathematics: Algebra, Geometry, Number Theory and Counting-Probability.
DOI: 10.17632/p566r8vp7c.1
title: Trace element concentration, iron isotope ratios, and iron species of size-fractionated aerosols and seawater across the subarctic North Pacific during Japan GEOTRACES cruise GP02 in 2017 summer

description: This dataset contains Fe stable isotope ratios and trace element concentrations of aerosols and seawater collected during Japan GEOTRACES cruise GP02 in 2017 in the subarctic North Pacific in order to clarify the Fe source of aerosols and surface seawater using Fe isotope ratios. The bulk and six size-fractionated aerosols dataset consist of trace element concentrations, some major ion concentrations, enrichment factor, fractional Fe solubility, Fe species, and Fe stable isotope ratios. Seawater data consist of hydrological parameters (temperature, salinity, chlorophyll-a concentration, nitrate+nitrite concentration), dissolved Fe concentration, and dissolved Fe isotope ratios. 
Aerosol trace element concentrations were measured using ICP-MS (NexION350s, Perkin Elmer) after mixed acid digestion. Fe species were determined by Fe K-edge X-ray absorption near-edge structure (XANES) analysis. Fe isotope ratios were determined by isotope dilution MC-ICP-MS (Neptune plus, Thermo Fisher Scientific) after trace element preconcentration and Fe separation with an anion exchange resin.

The dataset contains several data tabs: bulk aerosols, size-fractionated aerosols, size-fractionated aerosol XANES data, seawater data, and other data shown in tables and figures, including accuracy of the double spike analysis, XANES spectra, reference material data, aerosol filter blank, seawater Fe isotope data, and correlation coefficients. The main tabs contain the following information:
(1) Bulk aerosols: The data on total suspended aerosol particles (not size-fractionated), including trace element concentrations, sodium and sulfate concentrations, enrichment factors, water-soluble Fe concentrations, Fe stable isotope ratios, contribution of combustion Fe, .
(2) Size-fractionated aerosols: The data of six size-fractionated aerosol particles, including trace element concentrations, water-soluble Al and Fe concentrations, enrichment factors, and Fe stable isotope ratios.
(3) Aerosol Fe species: The data of six-size fractionated aerosol particles. The relative abundance of different Fe species is shown.
(4) Seawater data: The data include salinity, temperature, chlorophyll a, nitrate+nitrite, dissolved Fe concentration, and Fe stable isotope ratios of dissolved Fe.
DOI: 10.17632/xfnz6mkdzm.3
title: Optical Tracking Data from College Baseball Scrimmages

description: The Track_Combo.csv (Track_Combo.txt) dataset contains ball-tracking data from a series of exhibition matches between college baseball teams in the United States. Data were recorded at the pitch-level (n = 3,344) by TrackMan V3 optical tracking technology to provide detailed information on pitching and hitting events in the 21 games that were observed. Manual labels for each observed pitch and hit type (TaggedPitchType and TaggedHitType) were incorporated by a trained operator. A column labeled Count was also included to combine values from the Balls and Strikes columns.

Because the recorded data are from exhibition matches, not all games are of an equal or traditional (9 inning) length. Player IDs, team IDs, and game dates have been anonymized to make them unidentifiable, but they remain consistent throughout the dataset (within games and across games).

For labels and descriptions of the included columns, please reference the official TrackMan glossary: https://support.trackmanbaseball.com/hc/en-us/articles/5089413493787-V3-FAQs-Radar-Measurement-Glossary-Of-Terms

All data are provided with permission of the associated baseball team. Image files from relevant data visualizations, and the R code (R version 4.4.1) files used to create them, are available in the Visuals folder.
DOI: 10.17632/tbb2xhmw2z.3
title: Data for: Response of 3D woven composites under low velocity impact with different impactor geometries

description: This data is related to contact force-time of the specimens with various volume fractions impacted by different impactors.
DOI: 10.17632/yc8mbfy3rt.2
title: Chapter 14: Techniques for Detecting Fraud: Fraud Detection using Peer-Group Analysis

description: account_summary.csv, consists of transactional data across various accounts. The goal is to conduct a peer-group analysis to detect anomalies that may signify fraudulent transactions. You will focus on calculating statistical measures, such as the average transaction amount and standard deviation, and then use these to compute a 'distance' metric for each transaction. Transactions with a 'distance' exceeding a predetermined threshold will be flagged as potential fraud.
DOI: 10.17632/fwycxtjgcg.1
title: Supplemental Material for "Enhanced Disease-Specific Survival in Lentigo Maligna Melanoma Patients Treated with Mohs Surgery over Wide Local Excision: A Retrospective Cohort Analysis of the Surveillance, Epidemiology, and End Results Database"

description: Supplemental Table 1 for "Enhanced Disease-Specific Survival in Lentigo Maligna Melanoma Patients Treated with Mohs Surgery over Wide Local Excision: A Retrospective Cohort Analysis of the Surveillance, Epidemiology, and End Results Database"
DOI: 10.17632/prv6tgkfgr.1
title: Borderline personality disorder and depression in Bangladeshi University students

description: The dataset is focused on the correlation between Borderline Personality Disorder (BPD) and depression among university students in Bangladesh during the COVID-19 pandemic.
The dataset is cross-sectional, meaning that data was collected at a single point in time.
Data was collected from 1st July 2022 to 30th September 2022 using a self-administered online survey created with Google Forms.
Samples were obtained from both public and private universities throughout Bangladesh.
The survey included questions related to demographic information, BPD symptoms (measured using the MSI-BPD), depression symptoms (measured using the PHQ-9), and the effects of the COVID-19 pandemic on mental health.
The survey was distributed through a variety of channels, including social media platforms, university email lists, and student groups.
DOI: 10.17632/7dj2khv4rf.2
title: classification of opinions in ideological debates on facebook in the thematic of legalization of abortion in Brazil in Portuguese

description: The dataset contains 10 thousand opinions of ideological debates taken from public pages on facebook, all the comments are in Portuguese of Brazil, but only 500 classified. the classes used for classification, are FAITH, AGAINST, NEUTRAL, JUSTICE of abortion. for each opnion were defined 3 classifications being considered only the "FAVOR, CONTRA, NEUTO, SKIP".
DOI: 10.17632/6d2vffnhgj.1
title: Published Journal of Studies in Islam and Psychology; No. 19

description: The philosophy of psychology with a critical outlook from the perspective of Islam;
 The uses of psychology in the service of the Islamic society and its needs;
 The formation of psychology in the Islamic society;
 Psychological analysis of Islamic concepts in areas such as:
 1. Anthropology, such as: banned, impatience, hasty, captious, pious, faithful;
 2. Belief, such as: God, resurrection, Imamate, intercession, Paradise, Hell and ...;
 3. Value, such as: repentance, trust, self-esteem, mental relaxation, grief, fear;
 4. Practical instructions of Islam, such as: qisas (retaliation), prayers, inheritance, hajj, khums (one fifth);
 Study of psychological findings from Islamic perspective in terms of critique, confirmation and completion, alternative presentation, presentation of new theory;
DOI: 10.17632/s22446k8z7.2
title: Teachers' readiness for integrating artificial intelligence into K-12 schools

description: The study examines variables to assess teachers' preparedness for integrating AI into South African schools. The dataset on the Excel sheet consists of 42 columns. The first ten columns comprise demographic variables such as Gender, Years of Teaching Experience (TE), Age Group, Specialisation (SPE), School Type (ST), School Location (SL), School Description (SD), Level of Technology Usage for Teaching and Learning (LTUTL), Undergone Training/Workshop/Seminar on AI Integration into Teaching and Learning Before (TRAIN), and if Yes, Have You Used Any AI Tools to Teach Before (TEACHAI). Columns 11 to 42 contain constructs measuring teachers' preparedness for integrating AI into the school system. These variables are measured on a scale of 1 = strongly disagree to 6 = strongly agree.

AI Ethics (AE): This variable captures teachers' perspectives on incorporating discussions about AI ethics into the curriculum. 

Attitude Towards Using AI (AT): This variable reflects teachers' beliefs about the benefits of using AI in their teaching practices. It includes their expectations of having a positive experience with AI, improving their teaching experience, and enhancing their participation in critical discussions through AI applications.

Technology Integration (TI): This variable measures teachers' comfort in integrating AI tools and technologies into lesson plans. It also assesses their belief that AI enhances the learning experience for students, their proactive efforts to learn about new AI tools, and the importance they place on technology integration for effective AI education.

Social Influence (SI): This variable examines the impact of colleagues, administrative support, peer discussions, and parental expectations on teachers' preparedness to incorporate AI into their teaching practices.

Technological Pedagogical Content Knowledge (TPACK): This variable assesses teachers' ability to use technology to facilitate AI learning. It includes their capability to select appropriate technology for teaching specific AI content, and bring real-life examples into lessons.

AI Professional Development (AIPD): This variable evaluates the impact of professional development training on teachers' ability to teach AI effectively. It includes the adequacy of these programs, teachers' proactive pursuit of further professional development opportunities, and schools' provision of such opportunities.

AI Teaching Preparedness (AITP): This variable measures teachers' feelings of preparedness to teach AI. It includes their belief that their teaching methods are engaging, their confidence in adapting AI content for different student needs, and their proactive efforts to improve their teaching skills for AI education.

Perceived Self-Efficacy to Teaching AI (PSE): This variable captures teachers' confidence in their ability to teach AI concepts, address challenges in teaching AI, and create innovative AI-related teaching materials.
DOI: 10.17632/7yb7s9769c.1
title: NKG2A and HLA-E define an alternative immune checkpoint axis in bladder cancer

description: Single-cell RNA sequencing data used in the following article:

NKG2A and HLA-E define an alternative immune checkpoint axis in bladder cancer
https://www.cell.com/cancer-cell/fulltext/S1535-6108(22)00369-5


Authors:
Bérengère Salomé, John P. Sfakianos, Daniel Ranti, Jorge Daza, Christine Bieber, Andrew Charap, Christian Hammer, Romain Banchereau, Adam M. Farkas, Dan Fu Ruan, Sudeh Izadmehr, Daniel Geanon, Geoffrey Kelly, Ronaldo M. de Real, Brian Lee, Kristin G. Beaumont, Sanjana Shroff, Yuan Shuo A. Wang, Ying-chih Wang, Tin Htwe Thin, Monica Garcia-Barros, Everardo Hegewisch-Solloa, Emily M. Mace, Li Wang, Timothy  O’Donnell, Diego Chowell, Ruben Fernandez-Rodriguez, Mihaela Skobe, Nicole Taylor, Seunghee Kim-Schulze, Robert P. Sebra, Doug Palmer, Eleanor Clancy-Thompson, Scott Hammond, Alice O. Kamphorst, Karl-Johan Malmberg,  Emanuela Marcenaro, Pedro Romero, Rachel Brody, Mathias Viard, Yuko Yuki, Maureen Martin, Mary Carrington, Reza Mehrazin, Peter Wiklund, Ira Mellman, Sanjeev Mariathasan, Jun Zhu, Matthew D. Galsky, Nina Bhardwaj*, Amir Horowitz*

Summary
PD-1/PD-L1-blockade immunotherapies have limited efficacy in the treatment of bladder cancer. Here,
we show that NKG2A associates with improved survival and responsiveness to PD-L1 blockade
immunotherapy in bladder tumors that have high abundance of CD8+ T cells. In bladder tumors, NKG2A
is acquired on CD8+ T cells later than PD-1 as well as other well-established immune checkpoints.
NKG2A+ PD-1+ CD8+ T cells diverge from classically defined exhausted T cells through their ability to
react to HLA class I-deficient tumors using TCR-independent innate-like mechanisms. HLA-ABC
expression by bladder tumors is progressively diminished as disease progresses, framing the importance
of targeting TCR-independent anti-tumor functions. Notably, NKG2A+ CD8+ T cells are inhibited when
HLA-E is expressed by tumors and partly restored upon NKG2A blockade in an HLA-E-dependent
manner. Overall, our study provides a framework for subsequent clinical trials combining NKG2A
blockade with other T cell-targeted immunotherapies, where tumors express higher levels of HLA-E.
DOI: 10.17632/9gwpmj4hpr.1
title: The Astrin-SKAP Complex Reduces Friction at the Kinetochore-Microtubule Interface

description: Summary of the work: The kinetochore links chromosomes to spindle microtubules to drive chromosome segregation at cell division. While we know nearly all mammalian kinetochore proteins, how these give rise to the strong yet dynamic microtubule attachments required for function remains poorly understood. Here, we focus on the Astrin-SKAP complex, which localizes to bioriented kinetochores and is essential for chromosome segregation, but whose mechanical role is unclear. Live imaging reveals that SKAP depletion dampens movement and decreases coordination of metaphase sister kinetochores, and increases tension between them. Using laser ablation to isolate kinetochores bound to polymerizing vs depolymerizing microtubules, we show that without SKAP kinetochores move slower on both polymerizing and depolymerizing microtubules, and that more force is needed to rescue microtubules to polymerize. Thus, in contrast to previously described kinetochore proteins that increase grip on microtubules under force, Astrin-SKAP reduces grip, increasing attachment dynamics and force responsiveness and reducing friction. Together, our findings suggest a model where the Astrin-SKAP complex effectively “lubricates” correct, bioriented attachments to help preserve them.

Data associated to the paper "The Astrin-SKAP Complex Reduces Friction at the Kinetochore-Microtubule Interface", Rosas-Salvans et al., Current Biology, DOI: 10.1016/j.cub.2022.04.061. 

Here we include the data used for the figures in this paper (files are created and must be opened using GraphPad, Prism). The raw data and Phyton code used for the kinetochore oscillations analysis can be found at the following link: https://github.com/miquelrosassalvans/kinetochore-oscillations-analysis.git
DOI: 10.17632/k6nsv8vycc.1
title: The Mitogenome Data of Holothuria (Mertensiothuria) leucospilota (Brandt, 1835) from Malaysia.

description: The mitogenome of H. leucospilota originating from Sedili Kechil, Kota Tinggi, Johor, Malaysia, is presented here. The size of the mitogenome is 15,982bp which consists of 13 protein coding genes (PCGs), 21 transfer RNAs, and 2 ribosomal RNAs. One gene from tRNA was missing (tRNA-Ile). The putative control region between trnT (ugu) and trnP (ugg) was also not determined due to low coverage and difficulty to assemble and sequenced repetitive DNA region. The overall composition of nucleotide bases was estimated to be 25.8% for T, 25.9% for C, 31.8% for A and 16.5% for G (with A + T content of 57.6%). The mitogenome data of H. leucospilota is available in GenBank database with accession number ON584426.
DOI: 10.17632/8c93y2k2y4.1
title: Souza et al. 2023 - JDS

description: Supplementary material with information on how some of the data used in the manuscript was estimated, plots of the response variables during heat stress versus thermoneutral period or with the progression of heat stress. Plots of residuals versus fitted values, normal probability and observed versus predicted values are also included.
DOI: 10.17632/g75gcpp49k.1
title: Citation Contexts for Nobel Prize Winning Papers

description: This is a dataset of citation contexts for citations of Noble Prize winning papers from 1995-2017. Citation contexts are from papers published by Elsevier that have full-text XML. The dataset lists the Scopus ID and Science Direct ID (SDID) of papers citing the original prize winning papers linked to the prize winners themselves. The nobel prize winning paper's Scopus ID is also listed. For each citing paper, we include: - the sentence in which the Nobel Prize paper was cited; - the section heading of the citing paper in which the sentence occurred; - the year of the citing paper. Using the Scopus identifier full metadata can be retrieved.
DOI: 10.17632/nyvcpv4s8k.1
title: Frequency Domain Data for Analyzing the Performance of Adaptive Threshold Estimators in Cognitive Radio

description: The data provided here contains MATLAB files of different frequency domain samples simulated to describe different sensing conditions in Cognitive Radio (CR). The sensing conditions considered in these datasets refer to Frequency Modulated Signals, OFDM signals, Narrow and Wideband Signals, and Real-life TV signals. These datasets are intended to be used to analyze the performance of adaptive threshold estimation algorithms typically deployed for use in the Energy Detector front end of a CR system. Researchers can thus use these datasets as a common platform for evaluating their algorithms.
DOI: 10.17632/k4xk27zcpr.3
title: Amharic text dataset extracted from memes for hate speech detection or classification: Amharic Language Hate Speech Detection System from Facebook Image Post Using Deep Learning System

description: the dataset is collected from social media such as facebook and telegram.
the dataset is further processed. the collection are D1_org: this dataset is neither stemed nor stopword are remove: D1_sf: in this dataset stopwords are removed but not stemmed and in D3_stemed datset is stemmed and stopwords are removed. stemming is done using hornmorpho developed by Michael Gesser( available at https://github.com/hltdi/HornMorpho)
all datasets are normalized and free from noise such as punctuation marks and emojs.
DOI: 10.17632/7f6yxz2d4c.1
title: Risk factors and outcomes of acute kidney injury in South African critically ill adults: A prospective cohort study.

description: Raw clean data used for analysis
DOI: 10.17632/btchxktzyw.5
title: September 2022 data-update for "Updated science-wide author databases of standardized citation indicators"

description: See file 28oct2022_v5_update_release_notes.txt below for detailed explanation of differences between versions 5 and 4. They both use the same data but version 5 has more appropriate subfield assignment.  

Citation metrics are widely used and misused. We have created a publicly available database of top-cited scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score). Separate data are shown for career-long and, separately, for single recent year impact. Metrics with and without self-citations and ratio of citations to citing papers are given. Scientists are classified into 22 scientific fields and 174 sub-fields. Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers. Career-long data are updated to end-of-2021 and single recent year data pertain to citations received during calendar year 2021. The selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field. This version (5) is based on the Sept 1, 2022 snapshot from Scopus, updated to end of citation year 2021. This work uses Scopus data provided by Elsevier through ICSR Lab (https://www.elsevier.com/icsr/icsrlab). 

Calculations were performed using all Scopus author profiles as of September 1, 2022. If an author is not on the list it is simply because the composite indicator value was not high enough to appear on the list. It does not mean that the author does not do good work. 

PLEASE ALSO NOTE THAT THE DATABASE HAS BEEN PUBLISHED IN AN ARCHIVAL FORM AND WILL NOT BE CHANGED. The published version reflects Scopus author profiles at the time of calculation. We thus advise authors to ensure that their Scopus profiles are accurate. REQUESTS FOR CORRECIONS OF THE SCOPUS DATA (INCLUDING CORRECTIONS IN AFFILIATIONS) SHOULD NOT BE SENT TO US. They should be sent directly to Scopus, preferably by use of the Scopus to ORCID feedback wizard (https://orcid.scopusfeedback.com/) so that the correct data can be used in any future annual updates of the citation indicator databases.

The c-score focuses on impact (citations) rather than productivity (number of publications) and it also incorporates information on co-authorship and author positions (single, first, last author). If you have additional questions, please read the 3 associated PLoS Biology papers that explain the development, validation and use of these metrics and databases. (https://doi.org/10.1371/journal.pbio.1002501, https://doi.org/10.1371/journal.pbio.3000384 and https://doi.org/10.1371/journal.pbio.3000918). 

Finally, we alert users that all citation metrics have limitations and their use should be tempered and judicious. For more reading, we refer to the Leiden manifesto: https://www.nature.com/articles/520429a