cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5b82ytz489
title: Student Performance Metrics Dataset

description: The Student Performance Metrics Dataset provides a diverse collection of academic and non-academic attributes aimed at evaluating factors influencing student performance in higher education. It enables researchers to analyse relationships between student demographics, academic achievements, socio-economic factors, and extracurricular activities.

Dataset Attributes:
Department: The academic department the student is enrolled in (e.g., Computer Science, Business, etc.).
Gender: The gender of the student.
HSC: Score obtained in higher secondary education.
SSC: Score obtained in secondary school education.
Income: Monthly family income of their parents.
Hometown: The type of area where the student resides (e.g., urban, rural).
Computer: Proficiency level in computer usage.
Preparation: Time spent on study preparation outside class hours.
Gaming: Time spent on gaming activities daily.
Attendance: Regularity in class participation.
Job: Indicates if the student has a part-time job.
English: Proficiency in English communication skills.
Extra: Participation in extracurricular activities.
Semester: Current semester the student is enrolled in.
Last: Performance in the last semester.
Overall: Cumulative Grade Point Average (CGPA).

Purpose and Use Cases:
The dataset serves as a resource for educational research, enabling trend analysis and the development of predictive models for academic success. Researchers can explore the impact of socioeconomic status, gender, and extracurricular activities on student performance. Potential use cases include building machine learning models to predict performance and analyzing factors that contribute to student success or dropout risks.

Limitations:
This dataset does not cover all potential influences on student performance, such as personal motivation or health. Future studies can enhance this dataset by including additional variables.

Acknowledgments:
This dataset is compiled as an open resource for academic research. Proper citation is appreciated in academic works utilizing this dataset.
DOI: 10.17632/7ppzv7r2sb
title: Supplementary Tables for transcriptome analysis of human sperm DNA damage

description: These tables include the results of sperm DFI and semen analysis, transcripts in sperm samples, analysis of differentially expressed genes between the experimental group (DFI ≥ 30%) and control group (DFI < 30%), and GO enrichment and KEGG enrichment analysis of differentially expressed genes.
DOI: 10.6084/m9.figshare.6987596.v1
title: Table2

description: The extracted impedance transformer component values corresponding to implementation of double-section open-circuited stub with Z3 = 60 Ω and Z4= 10 Ω are listed in Table2.<br>
DOI: 10.17632/k424zbsxnk
title: GSvit — An open source FDTD solver for realistic nanoscale optics simulations

description: Surface and volume imperfections can significantly affect the performance of nanoscale or microscale devices used in photonics, optoelectronics or scientific instrumentation. In this article we present an open source software package for Finite-Difference Time-Domain electromagnetic field calculations suitable for calculations on graphics cards. Its special features include handling realistic models of imperfect nanoscale objects, such as treatment of arbitrary geometries including addition of random roughness to any geometrical object. The method is compared to conventional optical approach represented by Rayleigh-Rice theory. Practical applicability is demonstrated using a calculation of variation of field enhancement at proximity of a rough nanoscale antenna and rough particle scattering. It is shown that such approach can be namely useful in the areas where many repeated calculations are necessary, e.g. when studying how the optical response of nanoscale objects can vary when they are rough.
DOI: 10.17632/wj5knck449
title: RNAseq analysis in Dnmt3a LSK cells from mice with expansion vs mice with no expansion in mosaic mice infected with M. avium

description: 15000 CD45.2 LSK from 3 individual recipient mice (mosaic mice) that showed clear Dnmt3a-/-clonal expansion at the end of the 2-month M. avium infection and 2 individual recipient mice without Dnmt3a-/-clonal expansion at the end of the 2-month M. avium infection. RNA was isolated with the NucleoSpin ® RNA Plus XS kit (Macherey Nagel). RNA-seq libraries were prepared by using SMARTer® Stranded Total RNA-Seq Kit v2-Pico Input Mammalian (Takara Bio Usa). Illumina NovaSeq SP was used for sequencing with a paired-end sequencing length of 10bp. Following steps were taken to analyze the data: 1. Alignment of RNA-Seq reads with the STAR aligner 2. Assignment of aligned reads to genes 3. Differential gene expression with DESeq2
DOI: 10.6084/m9.figshare.25010720.v2
title: Excel - Extension of Japan prefectural emission accounting and enrich socioeconomic data 1990 to 2020

description: This database offers an in-depth view of Japan's carbon emission trends and distribution across its 47 prefectures over three decades, from 1990 to 2020. Developed in response to Japan's shift from nuclear to fossil fuel-based energy post-Fukushima, it highlights the challenges in meeting emission reduction targets. The database meticulously compiles emissions data based on the consumption of three primary fossil fuels across 29 sectors, including a separate accounting for emissions from local power generation. It uniquely blends energy consumption data from prefectural natural resources and energy departments with emissions data from power plants, providing a granular view of the energy landscape. Moreover, the database enriches this emission data with corresponding socioeconomic factors such as population, GDP, land prices, green space, and road infrastructure, sourced from official Japanese statistical resources. This fusion of environmental and economic data offers a multi-faceted perspective, crucial for formulating targeted carbon reduction strategies and sustainable development policies.
DOI: 10.17632/78864g22zg
title: 3D surface velocities and strain rate fields for the central-eastern Altyn Tagh fault (NW Tibet)

description: This dataset includes surface velocities (at 1 km resolution) and strain rate fields for a total area of ~ 600,000 km2 (~ 1,300 km × 450 km, Longitude 84°E-100°E, Latitude 36°N-42°N) around the central and eastern segment of the Altyn Tagh fault using Sentinel-1 InSAR rate maps. This dataset can be used to study interseismic strain accumulation and its termination on the central-eastern Altyn Tagh fault and surface deformation of the northwestern Tibet.

We used the LiCSAR system (Lazeckỳ et al., 2020) to derive interferogram networks. We processed 11 LiCSAR frames on 7 ascending tracks and 9 LiCSAR frames on 6 descending tracks. For each frame, we used ~170 acquisition epochs between October 2014 and July 2022. To reduce the impact of phase biases and nontectonic seasonal signals, we combine both short temporal (&lt; 4 months) and 1-year to 7-year long summer-to-summer baseline interferograms in the network, which generates an average of nearly 2000 interferograms in each LiCSAR frame. 

We carried out time-series analysis using LiCSBAS (Morishita et al., 2020), during which the tropospheric phases for each epoch were removed based on the Generic Atmospheric Correction Online Service (GACOS) (Yu et al., 2018). As the remaining interferograms may still have unwrapping errors, we chose to reduce the impact of such errors by nullifying (removing the values) all the displacements of interferograms associated with an unclosed loop in the time series for each pixel. After obtaining displacement time series of each pixel in a frame, the average linear velocities were calculated based on the standard approach in LiCSBAS. Final line-of-sight (LOS) velocity uncertainties are calculated from the standard deviation (STD) of 100 velocities based on resampled datasets of displacement time series using the bootstrap method. We masked relatively unreliable pixels using several noise evaluation indices such as the average coherence and number of network gaps for each pixel (Morishita et al., 2020). 

We derived reference frame adjustment parameters for each frame using VELMAP (Wang & Wright, 2012; Wang et al., 2019) to tie all the LOS velocity maps to the same Eurasian reference system as the GNSS data. We decomposed the final LOS velocity field accounting for the local radar incidence and azimuth angle. We inverted for the east and vertical velocity , as well as their associated uncertainties, for each pixel based on a method (Watson et al., 2022) in which the solution of north velocities from the VELMAP inversion was projected in local LOS direction and subtracted from the original LOS velocities first. 

We calculated our horizontal strain rates follow the method from Ou et al. (2022), in which the horizontal strain rates are calculated based on the median filtered east velocities at the InSAR resolution and interpolated north velocities from GNSS (the north velocities from VELMAP in this study).
DOI: 10.17632/r38dxm8kx6
title: Supplemental Figures and Tables: Clinicohistopathologic profile of patients who underwent Mohs micrographic surgery at the Dermatology Center of St. Luke’s Medical Center, Philippines from March 2003 - March 2018

description: ABSTRACT BACKGROUND Mohs Micrographic Surgery (MMS) has proven to be an effective technique in microscopically removing tumor foci while sparing normal tissue. OBJECTIVE To describe the clinical and histopathologic profile of patients who underwent MMS at the Dermatology Center of St. Luke’s Medical Center from March 2003 - March 2018. METHODS A retrospective review of MMS cases at the Dermatology Center from March 2003-March 2018. RESULTS Of 476 total MMS cases treated from 2003 to 2018, 404 cases with complete data were included. Mean age of the study population was 64.8 years old, with 94.9% in the &gt;40 age group. Two hundred forty-two patients were Asians. The most common tumor was basal cell carcinoma (78%). More than half of cases (65.1%) were cleared of tumor after 2 stages. Based on the 5-year surveillance, there has been no recurrence of primary cases as of 2018. There were 2 (6.89%) recurrences amongst 29 recurrent tumors. LIMITATIONS This study is limited to MMS patients operated on at the Dermatology Center of St. Luke’s Medical Center. CONCLUSION The clinicohistopathologic profile of patients who underwent MMS is reflective of local, regional and international data. Post-operative data and surveillance prove that MMS is both a conservative and reliable approach to treatment of NMSCs.
DOI: 10.6084/m9.figshare.13619510.v1
title: South Asia Benthic Type Reference Sample

description: This benthic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled with one of seven coral reef benthic classes that include Microalgal Mats, Coral/Algae, Rubble, Rock, Seagrass Dense, Seagrass Sparse, Sand. <b>Please cite data as:</b> Borrego-Acevedo, R., Wolff, J., Canto, R., Harris, D., Kennedy, E., Kovacs , Lyons, M., E., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Roelfsema, C., Say, C., Tudman, P., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2020. South Asia Benthic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.13619510 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Kathryn Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/
DOI: 10.6084/m9.figshare.25406902.v1
title: 社会信用环境与企业ESG评分的关系

description: 社会信用环境与企业ESG评分的关系
DOI: 10.17632/pyn3p3ny26
title: Using Google Trends to improve monitoring of the invasive spotted lanternfly in the United States

description: Invasive species pose significant threats to ecosystems and human industry and are being rapidly exacerbated by increased globalization and climate change. Effective monitoring of invasive species is crucial for control and eradication efforts, but traditional methods can be costly and resource-intensive. Here, we explore the use of Google Trends, a tool quantifying internet searches made on the Google search engine, to monitor the spread of the spotted lanternfly (Lycorma delicatula), a recent invasive insect in the United States that has resulted in a number of negative ecological and agricultural effects. We analyzed Google search data for this species from 2014 to 2022 and compared it to official occurrence data pooled from a variety of government and citizen science-based sources. Our results show a significant positive relationship between the number of Google searches and the presence of the spotted lanternfly. Yearly patterns in Google search data align with observed population sizes, and seasonal patterns with the emergence of mature adult spotted lanternflies. Our results indicate that Google Trends may be particularly useful in complementing traditional monitoring methods. We discuss its efficacy in monitoring the spotted lanternfly invasion in particular as well as possible considerations and limitations of this approach generally. In total, this approach could enhance future monitoring of the spotted lanternfly and possibly other invasive species to better inform conservation efforts
DOI: 10.6084/m9.figshare.12520427.v3
title: A constrained multi-objective least cost path algorithm and trajectory smoothing techniques for offshore wind farm cost modeling

description: Input and Output Data of LCP implementation for OWFs Transmission lines and O&M cost assessment and paths' delineation.
DOI: 10.6084/m9.figshare.19354481.v2
title: The diversity and evolutionary relationships of ticks and tick-borne bacteria in China

description: Phylogenetic tree of tick and tick-associated bacteria in this study. We collected more than 20,000 contemporary and historical (up to 60 years of preservation) tick samples representing a wide range of tick biodiversity across diverse geographic regions in China. Metagenomic sequencing was performed on individual ticks to obtain the complete or near-complete mitochondrial (mt) genome sequences from 46 tick species, among which mitochondrial genomes were revealed for the first time for 23 species. These new mt genomes data greatly expanded the diversity of many tick groups and revealed five cryptic species. Utilizing the same metagenomic sequence data we identified divergent and abundant bacteria in <i>Haemaphysalis</i>, <i>Ixodes</i>, <i>Dermacentor</i> and <i>Carios </i>ticks, including nine species of pathogenetic bacteria and potentially new species within the genus <i>Borrelia</i>. We also used these data to explore the evolutionary relationship between ticks and their associated bacteria, revealing a pattern of long-term co-divergence relationship between ticks and <i>Rickettsia</i> and <i>Coxiella </i>bacteria.
DOI: 10.17632/4v65czhnrj
title: Municipal FOI Requests - Chile 2020

description: Dataset for the article: "Understanding Freedom of Information Requests: Predictors of Request for Public Information to Municipalities in Chile", by Hernández-Bonivento, J. & Moller, F.
DOI: 10.17632/57zpx667y9
title: SANAD: Single-Label Arabic News Articles Dataset for Automatic Text Categorization

description: SANAD Dataset is a large collection of Arabic news articles that can be used in different Arabic NLP tasks such as Text Classification and Word Embedding. The articles were collected using Python scripts written specifically for three popular news websites: AlKhaleej, AlArabiya and Akhbarona. All datasets have seven categories [Culture, Finance, Medical, Politics, Religion, Sports and Tech], except AlArabiya which doesn’t have [Religion]. SANAD contains a total number of 190k+ articles. How to use it: ___________ 1. Unzip compressed resources. 2. Each folder contains 6-7 sub-folders which are labeled by the category's name. 3. Each sub-folder contains a set of article files corresponding to its category. SANAD_SUBSET is a balanced benchmark dataset (from SANAD) that is used in our research work. It contains the training (90%) and testing (10%) sets. How to use it: ___________ 1. Unzip the compressed file. 2. There are 3 main folders containing the 3 datasets: Akhbarona, Khaleej, and Arabiya. 3. Each dataset-folder contains 2 sub-folders: training and testing. 4. The training and testing folders include the balanced categories sub-folders.
DOI: 10.17632/xdrwrh9zbk
title: Hemoglobin Photoplethysmography Dataset

description: Dataset consists of photoplethysmography (PPG) signal, Hb value, age, and gender. The PPG signal was measured by a MAX30102 module sensor that emitted two types of light (red and infrared light) and measured using a photodetector. The Hb value was measured by a Hb meter, Nesco Multicheck 2®. Total of 68 subjects (56% female and 44% male) within the age of 18-65 years were collected. The total dataset is 816 data from 68 subjects, which each subject provides 12 sets of red and infrared light signals. The data were collected at Primary Health Center Jatiuwung, Tangerang City, Banten 15138, Indonesia. Researchers interested in anemia monitoring and those pursuing the development of non-invasive hemoglobin measurement devices can leverage this dataset.
DOI: 10.6084/m9.figshare.1297882.v1
title: viscosity of Thiel embalming solutoin

description: Calculation of the dynamic viscosity of Thiel embalming solution
DOI: 10.6084/m9.figshare.17871755.v1
title: Quantifying the fractal dimension and morphology of individual atmospheric soot aggregates

description: This is the full dataset shown in the figures and tables in This is the full dataset shown in the figures and tables in <i>Quantifying teh fractal dimension and morphology of individual atmospheric soot aggregates</i>
DOI: 10.6084/m9.figshare.19819186.v1
title: Supplementary Material for: Gastrointestinal Quality of Life in Gastroesophageal Reflux Disease: A Systematic Review

description: <b><i>Background:</i></b> The Gastrointestinal Quality of Life Index (GIQLI) is a well-established instrument for the assessment of quality of life (QOL) in gastrointestinal (GI) diseases. The purpose of this literature review was to investigate QOL by means of GIQLI in patients with gastroesophageal reflux disease (GERD) prior to any interventional therapy. There are several reports on GIQLI data; however, comparisons from different countries and/or different GERD cohorts assessing the same disease have to date not been conducted. <b><i>Methods:</i></b> The GIQLI uses 36 items around 5 dimensions (GI symptoms [19 items], emotional dimension [5 items], physical dimension [7 items], social dimension [4 items], and therapeutic influences [1 item]). A literature search was conducted on the application of GIQLI in GERD patients prior to interventional therapy using reports in PubMed. Data on the mean GIQLI as well as index data for the 5 dimensions as originally validated were extracted from the published patient cohorts. A comparison with the normal healthy control group from the original publication of the GIQLI validation conducted by Eypasch was performed. Data are presented descriptively as GIQLI points as well as a reduction from 100% maximum possible index points (max 144 index points = highest QOL). <b><i>Results:</i></b> In total, 77 abstracts from studies using the GIQLI on patients with GERD were identified. After screening for content, 21 publications were considered for further analysis. Ten studies in GERD patients comprised complete calculations of all dimensions and were included in the analysis. Data from 1,682 study patients were evaluated with sample sizes ranging from 33 to 568 patients (median age of 789 females and 858 males: 51.8 years). The median overall GIQLI for the patient group was 91.7 (range 86–102.4), corresponding to 63.68% of the maximum GIQLI. The dimensions with the largest deviation from the respective maximum score were the physical dimension (55% of maximum) followed by the emotional dimension (60% of maximum). In summary, the GIQLI level in GERD cohorts was reduced to 55–75% of the maximum possible index. <b><i>Conclusions:</i></b> Severe GERD causes substantial reductions in the patient’s QOL. The level of GIQLI can carry between different studied GERD cohorts from different departments and countries. GIQLI can be used as an established tool to assess the patient’s condition in various dimensions.
DOI: 10.6084/m9.figshare.3552141.v1
title: Appendix A. References describing EPA methods and their data.

description: References describing EPA methods and their data.
DOI: 10.17632/5sjpzzt3gx
title: Replication Data for "Introducing the Rebels' Armament Dataset (RAD): Empirical Evidence on Rebel Military Capabilities", Journal of Conflict Resolution

description: R script and datasets to replicate the results of the main text and the online supplemental.
DOI: 10.6084/m9.figshare.7294307.v3
title: WN11nball

description: derived from WorNet11 dataset<br>
DOI: 10.17605/osf.io/khjcg
title: Replication data for "Electrical Spinal Imaging (ESI): Analysing spinal cord activity with non-invasive, high-resolution mapping"

description: Replication data for "Electrical Spinal Imaging (ESI): Analysing spinal cord activity with non-invasive, high-resolution mapping"

Raw data are uploaded in bdf format. Check readme.txt for additional information about block order participants' demographics.
DOI: 10.17632/2x2bh762sd
title: Data for: Cohesion between Research Literature and Health System Level Efforts to Address Global Neurosurgical Inequity: a scoping review

description: Appendix containing controlled vocabulary, search translation tables used for the scoping review as well as a tabular form of all the data collected from our included GNS manuscripts.