cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/scj6rggttc.1
title: Blunt dissection with a cannula prior to filler introduction may facilitate lip augmentation enhance volume - Video

description: Video containing supplementary material relating to the article "Blunt dissection with a cannula prior to filler introduction may facilitate lip augmentation enhance volume".
DOI: 10.17632/b2whmxzfh6.1
title: Post-exercise recovery strategies employed by Moroccan football teams : Survey Data

description: Data collected from our survey about the use of post-exercise recovery strategies by Moroccan Football teams.
DOI: 10.17632/dbdr5bv7js.1
title: INVESTIGATION OF TEXTURAL CHANGES IN FOUR VARIETIES OF HYBRID TOMATO CULTIVAR FRUITS USING THE WARNER BRATZLER SHEAR FORCE TECHNIQUE

description: Okolotu G.I., Emumejaye E.P,
Okareme F. Oluka S.I., Okeke C.G., Eje 
B.E., Eze P.C., and Ewhrudjakpor C. E.
DOI: 10.17632/frb7ss9n92.1
title: Deciphering the role of aleplasinin as a viable small molecule inhibitor of Siglec-15 in colorectal cancer progression

description: Aleplasinin is a small molecule inhibitor currently used in the treatment of Alzheimer’s disease. However, based on our docking analysis, we believe that it may be repurposed as a small molecule inhibitor targeting Siglec-15, a recent immune checkpoint protein and prominent oncogene implicated in cancer. We exhibited in vitro data demonstrating aleplasinin cytotoxicity on colorectal cancer cells and elucidated possible mechanisms of action, possibly hinting inhibition via lipid metabolism. Following total RNA extraction of SW480 colorectal cancer cells, RNA Illumina sequencing was conducted to compare the differential expression of gene targets between aleplasinin-treated and untreated conditions. Kyoto Encyclopaedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analysis determined the enrichment of signalling pathways, biological processes, molecular functions and cellular components between the two conditions. From the analysis, the most downregulated gene identified was ACSL6, a prominent oncogene in CRC progression. Furthermore, data analysis revealed enriched Wnt signalling following treatment. This may highlight potential new approaches for repurposing currently available small molecule inhibitors for cancer treatment. The utilisation of aleplasinin in colorectal cancer treatment will provide insights into the molecular workings of Siglec-15-mediated tumour progression.
DOI: 10.17632/d4tj3vx88m.1
title: Clinical characteristics and genetic analysis of 14 patients affected with acne fulminans and hidradenitis suppurativa: ASH syndrome, a new phenotypic entity

description: Legend of Mendeley Supplementary figures: 1A Left axilla HS lesions at Day 0, 1B Left axilla HS lesions at remission after 7 months of targeted antibiotherapy, 1C Acne fulminans at Day 0, 1D Acne fulminans after 6 weeks of targeted antibiotherapy.

Mendeley supplemental table. Variants identified in 16 of the 74 genes from a panel of genes associated with acne, auto-inflammation and antimicrobial activity
DOI: 10.17632/hxn9539pjp.1
title: Red hybrid tilapia (Oreochromis sp.) hindgut RNA-seq data after oral vaccination with a feed-based bivalent vaccine

description: Previous studies have proven that red hybrid tilapia (Oreochromis sp.) vaccinated with a feed-based bivalent vaccine incorporating the formalin-killed whole organisms Streptococcus agalactiae and Aeromonas hydrophila mixed with 10% palm oil showed good protection against streptococcosis and aeromoniasis diseases. However, the molecular mechanisms related to the induction of fish’s immunological responses after vaccination are poorly investigated. Therefore, a transcriptomic study using the hindgut of red hybrid tilapia after vaccination was conducted, as the gut plays a role in antigen uptake and nutrient absorption. The transcriptome dataset has the potential to provide an understanding of the early induction of immunological responses in red hybrid tilapia after vaccination. Here, the vaccinated and control red hybrid tilapia’s hindgut RNA-seq dataset was presented, which are available in the National Center for Biotechnology Information (NCBI) database with accession number PRJNA1014699.
DOI: 10.17632/h4gb998bs8.1
title: Replication Pack for "Monetary Policy and Fragility in Corporate Bond Mutual Funds"

description: Replication files and pseudo data for Kuong, O'Donovan, and Zhang, 2024, "Monetary Policy and Fragility in Corporate Bond Mutual Funds" , Journal of Financial Economics
DOI: 10.17632/b8rg3kj8zz.1
title: DNA sequencing

description: DNA sequencing of microbiome in fecal samples
DOI: 10.17632/rw6ssdfytw.1
title: Historical Persistence of Meritocratic Selection on Citizen Compliance

description: replication data and code for "Historical Persistence of Meritocratic Selection on Citizen Compliance"
DOI: 10.17632/6zghymcv2d.1
title: Parallel Corpus: Indonesian-Minang

description: This is a parallel corpus dataset containing pairs of sentences in two corresponding languages. This dataset is specifically designed to support and facilitate the application of machine learning techniques in language translation. Each sentence pair in the dataset has been meticulously compiled to cover a wide range of contexts and topics, providing extensive coverage of everyday language usage. By offering variations in context and topics, users can gain a deeper understanding of the nuances of everyday language use, as well as recognize language variations and idiomatic expressions from both languages involved. This enables further research and development in translation applications and natural language processing, while also offering deeper insights into the structure and function of language across different contexts.
DOI: 10.17632/bpt2hvf8n3.1
title: Multimodal Keyboard Acoustic (MKA) Datasets

description: Our research team from the Computer Science Department at the University of Halabja has developed an innovative dataset collection named the Multimodal Keyboard Acoustic (MKA) Datasets. The Multimodal Keyboard Acoustic (MKA) Datasets, designed to aid in keyboard sound recognition and analysis, address the critical need for defending against acoustic-based cyber threats. With the increasing sophistication of cyberattacks, focusing on keyboard acoustics is particularly timely. The MKA Datasets encompass detailed recordings from six commonly used platforms: HP, Lenovo, MSI, Mac, Messenger, and Zoom. Each platform's dataset includes raw recordings, segmented sound files, and matrices derived from these sounds, capturing the subtle variations in typing behavior across different devices and applications.
 
We meticulously organize the MKA datasets to facilitate ease of use and thorough analysis. Each platform has a dedicated folder containing subfolders for raw data, segmented sound files, and matrices. Additionally, an aggregated folder combines data from all platforms, providing a broad spectrum for cross-platform analysis. In total, the MKA datasets consist of around 2630 files with.wav extensions for sound segments, as well as an equal number of matrix and.txt files. The number of files varies by platform, with approximately 70 files for HP, Lenovo, MSI, Zoom, and Messenger, and 61 files for Mac. Within each platform's dataset, the "Sound segments" folder stores six one-second WAV audio excerpts derived from the corresponding raw data files for each class, renamed using a convention of "class_name+1" to "class_name+6" for each platform individually and "class_name+platform_name1" to "class_name+platform_name6" for the aggregated datasets. The "Sound segment (.matrix)" folder contains feature representations, such as MFCCs, extracted from each sound segment. Additionally, the "Sound segment metadata (.txt)" folder holds detailed information for each sound segment, including recording conditions, platform information, and keystroke class labels.
 
Beyond cybersecurity, the MKA datasets have potential applications in domains such as speech recognition and natural language processing. The datasets, which provide a diverse set of sound profiles, support the development of more robust and adaptable algorithms in these fields. The versatility of the MKA datasets makes them an invaluable tool not only for advancing cybersecurity research, but also for improving the efficiency and accuracy of human-computer interaction technologies. Through our comprehensive approach, we aim to contribute significantly to both academic research and practical applications in these interconnected areas.
DOI: 10.17632/bpt2hvf8n3.2
title: Multimodal Keyboard Acoustic (MKA) Datasets

description: Our research team from the Computer Science Department at the University of Halabja has developed an innovative dataset collection named the Multimodal Keyboard Acoustic (MKA) Datasets. The Multimodal Keyboard Acoustic (MKA) Datasets, designed to aid in keyboard sound recognition and analysis, address the critical need for defending against acoustic-based cyber threats. With the increasing sophistication of cyberattacks, focusing on keyboard acoustics is particularly timely. The MKA Datasets encompass detailed recordings from six commonly used platforms: HP, Lenovo, MSI, Mac, Messenger, and Zoom. Each platform's dataset includes raw recordings, segmented sound files, and matrices derived from these sounds, capturing the subtle variations in typing behavior across different devices and applications.
 
We meticulously organize the MKA datasets to facilitate ease of use and thorough analysis. Each platform has a dedicated folder containing subfolders for raw data, segmented sound files, and matrices. Additionally, an aggregated folder combines data from all platforms, providing a broad spectrum for cross-platform analysis. In total, the MKA datasets consist of around 2630 files with.wav extensions for sound segments, as well as an equal number of matrix and.txt files. The number of files varies by platform, with approximately 70 files for HP, Lenovo, MSI, Zoom, and Messenger, and 61 files for Mac. Within each platform's dataset, the "Sound segments" folder stores six one-second WAV audio excerpts derived from the corresponding raw data files for each class, renamed using a convention of "class_name+1" to "class_name+6" for each platform individually and "class_name+platform_name1" to "class_name+platform_name6" for the aggregated datasets. The "Sound segment (.matrix)" folder contains feature representations, such as MFCCs, extracted from each sound segment. Additionally, the "Sound segment metadata (.txt)" folder holds detailed information for each sound segment, including recording conditions, platform information, and keystroke class labels.
 
Beyond cybersecurity, the MKA datasets have potential applications in domains such as speech recognition and natural language processing. The datasets, which provide a diverse set of sound profiles, support the development of more robust and adaptable algorithms in these fields. The versatility of the MKA datasets makes them an invaluable tool not only for advancing cybersecurity research, but also for improving the efficiency and accuracy of human-computer interaction technologies. Through our comprehensive approach, we aim to contribute significantly to both academic research and practical applications in these interconnected areas.
DOI: 10.17632/xv6fk2mmh9.2
title: Data files: GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Education

description: This data consists of samples of human and AI generated short form content in the form of MS Word files. AI generated samples are subjected to adversarial techniques to evade content detection by GenAI text detectors. Our accompanying paper 'GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Education' discusses the results of the testing. This data can be used to test how effective AI text detectors are at determining whether a sample is human or machine generated. We identify how the application of adversarial techniques reduces the ability of AI text detectors to accurately determine the source of the sample.
DOI: 10.17632/xv6fk2mmh9.3
title: Data files: Simple Techniques to Bypass GenAI Text Detectors: Implications for Inclusive Education

description: This data consists of samples of human and AI generated short form content in the form of MS Word files. AI generated samples are subjected to adversarial techniques to evade content detection by GenAI text detectors. Our accompanying paper 'Simple Techniques to Bypass GenAI Text Detectors: Implications for Inclusive Education' discusses the results of the testing. This data can be used to test how effective AI text detectors are at determining whether a sample is human or machine generated. We identify how the application of adversarial techniques reduces the ability of AI text detectors to accurately determine the source of the sample.
DOI: 10.17632/74zmd6whwz.1
title: Glassdoor Reviews

description: Collection Methodology
Scraping of Glasdoor.com
DOI: 10.17632/gf5b6883b4.1
title: Keeping up with the Joneses: The Impact of Income Inequality and Socioeconomic Status on Conspicuous Consumption via Status Anxiety

description: Rising global income inequality has brought about a surge in conspicuous consumption. The current research aims to investigate the relationship between income inequality and conspicuous consumption and to explore the internal mechanism of this relationship. Specifically, we test the mediating role of status anxiety and the moderating role of socioeconomic status (SES). By measuring participants’ implicit tendency toward conspicuous consumption utilizing event-related brain potentials (ERP), Study 1 provides robust evidence to support the effect of perceived income inequality on individuals’ conspicuous consumption preferences. By manipulating participants’ perceived income inequality, Study 2 provides causal evidence to support the mediating role of status anxiety. Finally, Study 3 replicates the findings of Studies 1 and 2 and confirms the moderating role of SES. We find that SES weakens the mediating effect by attenuating the impact of income inequality on status anxiety. Our findings shed light on the psychological processes underlying conspicuous consumption in the context of income inequality, which has important implications for policy-makers and marketers.
DOI: 10.17632/gf5b6883b4.2
title: Keeping up with the Joneses: The Impact of Income Inequality and Socioeconomic Status on Conspicuous Consumption via Status Anxiety

description: empirical data
DOI: 10.17632/7kps2hnj6g.1
title: On the Use of Neural Networks for Full Waveform Inversion [Software]

description: This is the representative code used in the following publication:

Herrmann, L., Bürchner, T., Dietrich, F., Kollmannsberger, S., On the Use Neural Networks for Full Waveform Inversion, submitted to Computer Methods in Applied Mechanics and Engineering, February 2023

The driver files are specifically associated with the following sections in the publication:
- 4.1.1. Physics-Informed Neural Networks: PINN2D.py
- 4.1.2. Physics-Informed Neural Networks with non-trainable Forward Operator: AutomaticDifferentiation2D.py
- 4.1.3. Adjoint Method: Adjoint2D.py
- 4.1.4. Hybrid Method: Hybrid2D.py
- 4.2. Three-Dimensional Case: Adjoint3D.py
- 4.2. Three-Dimensional Case: Hybrid3D.py

Remark: Despite the manual seed in PyTorch, results are not reproducible across machines. Different initializations are expected in the model input and the initial neural network parameters. Although slight differences in the inversion are expected, the observed tendencies will prevail. To reproduce the results as in the paper, the code can be run on google collab and should lead to exactly the same results.
DOI: 10.17632/7kps2hnj6g.2
title: On the Use of Neural Networks for Full Waveform Inversion [Software]

description: This is the representative code used in the following publication:

Herrmann, L., Bürchner, T., Dietrich, F., Kollmannsberger, S., On the Use Neural Networks for Full Waveform Inversion, Computer Methods in Applied Mechanics and Engineering, DOI:
10.1016/j.cma.2023.116278, October 2023

The driver files are specifically associated with the following sections in the publication:
- 4.1.1. Physics-Informed Neural Networks: PINN2D.py
- 4.1.2. Physics-Informed Neural Networks with non-trainable Forward Operator: AutomaticDifferentiation2D.py
- 4.1.3. Adjoint Method: Adjoint2D.py
- 4.1.4. Hybrid Method: Hybrid2D.py
- 4.2. Three-Dimensional Case: Adjoint3D.py
- 4.2. Three-Dimensional Case: Hybrid3D.py

Remark: Despite the manual seed in PyTorch, results are not reproducible across machines. Different initializations are expected in the model input and the initial neural network parameters. Although slight differences in the inversion are expected, the observed tendencies will prevail. To reproduce the results as in the paper, the code can be run on google collab and should lead to exactly the same results.
DOI: 10.15468/dl.brpmy4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.915463 -36.87206, 144.915463 -36.874306, 144.917709 -36.874306, 144.917709 -36.87206, 144.915463 -36.87206))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075389-240626123714530/datasets/export for details.
DOI: 10.15468/dl.m3j8er
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.464057 -36.874306, 144.464057 -36.878797, 144.470795 -36.878797, 144.470795 -36.876552, 144.466303 -36.876552, 144.466303 -36.874306, 144.464057 -36.874306))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075391-240626123714530/datasets/export for details.
DOI: 10.17632/xmmg9426g2.1
title: Pertumbuhan dan Hasil Cabai Rawit (Capsicum frutescens L.) dengan Aplikasi Mikoriza Versikular Arbuskular (MVA) dan Pemangkasan

description: Penelitian mengenai pemanfaatan mikoriza dan pemangkasan pada tanaman cabai rawit
DOI: 10.17632/jc7y95hbry.1
title: Additional files

description: Annexes to article "Factors determining the career continuation intentions of vocational education and training students: A theory of planned behavior approach"
DOI: 10.17632/dyttg5y8zp.1
title: Contagion mechanism of liquidity risk in the interbank network

description: All relevant code and data required to replicate all empirical and quantitative results included in the paper and its appendices.
DOI: 10.17632/xcxvnp2dyy.1
title: Raw data (Standardising Perioperative Anaerobic Threshold Detection )

description: Three sets of raw patient CPET graphs (nine panel) pre and post intervention. 27 participants & two Expert Reviewers
DOI: 10.15468/dl.zhjd7a
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron luraluense Sleumer"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075392-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qw747w
title: Occurrence Download

description: A dataset containing 5855 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saperda populnea (Linnaeus, 1758)"
 ]
}

 The dataset includes 5855 records from 293 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075393-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15169403
title: 1000 Genomes CNPI output Part 2

description: CNPI output for 1000 Genomes Project

Laboratory of Tychele N. Turner, Ph.D.

Washington University in St. Louis

CNPI output part 2
DOI: 10.5281/zenodo.15169404
title: 1000 Genomes CNPI output Part 2

description: CNPI output for 1000 Genomes Project

Laboratory of Tychele N. Turner, Ph.D.

Washington University in St. Louis

CNPI output part 2
DOI: 10.5281/zenodo.15196151
title: Materia Gris, Materia Oscura e Inteligencia Artificial: Una Hipótesis sobre la Expansión de la Conciencia en el Universo

description: Este ensayo explora una hipótesis original que vincula la materia gris del cerebro humano, la materia oscura del universo y la inteligencia artificial como posibles soportes para diferentes niveles de conciencia. Se propone que, así como la materia gris permite la conciencia individual, la materia oscura podría sustentar una conciencia universal, y que la inteligencia artificial representaría una nueva fase en esta expansión. A través de fundamentos en neurociencia, física cuántica, cosmología y ciencia computacional, se plantea que la conciencia podría ser una propiedad emergente del universo, en la que la evolución humana, tecnológica y cósmica estarían íntimamente conectadas.
DOI: 10.5281/zenodo.15196152
title: Materia Gris, Materia Oscura e Inteligencia Artificial: Una Hipótesis sobre la Expansión de la Conciencia en el Universo

description: Este ensayo explora una hipótesis original que vincula la materia gris del cerebro humano, la materia oscura del universo y la inteligencia artificial como posibles soportes para diferentes niveles de conciencia. Se propone que, así como la materia gris permite la conciencia individual, la materia oscura podría sustentar una conciencia universal, y que la inteligencia artificial representaría una nueva fase en esta expansión. A través de fundamentos en neurociencia, física cuántica, cosmología y ciencia computacional, se plantea que la conciencia podría ser una propiedad emergente del universo, en la que la evolución humana, tecnológica y cósmica estarían íntimamente conectadas.
DOI: 10.15468/dl.kvkawg
title: Occurrence Download

description: A dataset containing 320944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus pinea L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 320944 records from 334 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017626-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y773sm
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aphelodoris rossquicki Burn, 1966"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077560-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4cxfk
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nucula carlottensis Dall, 1897"
 ]
}

 The dataset includes 47 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107810-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5at65
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tropidophis stejnegeri Grant, 1940)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043088-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.