cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25952/wg2p-nn69
title: Ownership Structure and Executive Compensation

description: This thesis examines the relationship between ownership structure and executive compensation in Saudi Arabia and Australia, offering a comparative analysis of an emerging and a developed economy. Using unbalanced panel data from listed firms, the study explores how institutional, managerial, and family ownership influence executive pay structures. The findings reveal that in Saudi Arabia, family ownership and socioemotional wealth considerations drive stable, fixed compensation, with lower emphasis on performance-based bonuses, reflecting cultural priorities of control and stability. In Australia, institutional ownership and robust governance frameworks align executive pay with performance metrics, reflecting transparency and market efficiency. These insights contribute to the understanding of how cultural and economic contexts shape executive remuneration.
description: This thesis examines the relationship between ownership structure and executive compensation in Saudi Arabia and Australia, offering a comparative analysis of an emerging and a developed economy. Using unbalanced panel data from listed firms, the study explores how institutional, managerial, and family ownership influence executive pay structures. The findings reveal that in Saudi Arabia, family ownership and socioemotional wealth considerations drive stable, fixed compensation, with lower emphasis on performance-based bonuses, reflecting cultural priorities of control and stability. In Australia, institutional ownership and robust governance frameworks align executive pay with performance metrics, reflecting transparency and market efficiency. These insights contribute to the understanding of how cultural and economic contexts shape executive remuneration.
DOI: 10.5281/zenodo.14835053
title: Serum proteomics reveals high-affinity and convergent antibodies by tracking SARS-COV-2 hybrid immunity to emerging variants of concern

description: Dataset comprises of Ig transcript repertoire and proteomics data from three donors with hybrid immunity to SARS-CoV-2. The repertoires comprise of 10X Geneomics single-cell VDJ and bulk BCR sequencing of heavy and light chains, and are available in gzipped airrseq file format. Proteomics data was generated on an anti-Spike, anti-RBD, and flow-through fractions for each donor. Each fraction was split into heavy and light chains, and heavy chains were digested with chymotrypsin (chymo), elastase (elas), pepsin (peps), and trypsin (tryp), and analyzed with a 2hr MS/MS acquisition method on an ThermoFisher Eclipse Orbitrap instrument. Spectra are povided in tar gzipped MGF file format.
DOI: 10.5281/zenodo.14835054
title: Serum proteomics reveals high-affinity and convergent antibodies by tracking SARS-COV-2 hybrid immunity to emerging variants of concern

description: Dataset comprises of Ig transcript repertoire and proteomics data from three donors with hybrid immunity to SARS-CoV-2. The repertoires comprise of 10X Geneomics single-cell VDJ and bulk BCR sequencing of heavy and light chains, and are available in gzipped airrseq file format. Proteomics data was generated on an anti-Spike, anti-RBD, and flow-through fractions for each donor. Each fraction was split into heavy and light chains, and heavy chains were digested with chymotrypsin (chymo), elastase (elas), pepsin (peps), and trypsin (tryp), and analyzed with a 2hr MS/MS acquisition method on an ThermoFisher Eclipse Orbitrap instrument. Spectra are povided in tar gzipped MGF file format.
DOI: 10.6084/m9.figshare.28386059
title: 250114_BS_3C_2001_p2_c2_z12_resized.jpeg

description: test
DOI: 10.6084/m9.figshare.28386059.v1
title: 250114_BS_3C_2001_p2_c2_z12_resized.jpeg

description: test
DOI: 10.6073/pasta/85219227ab20203e06efd61ad34a6a7d
title: High-frequency, hourly, and daily measurements from Lake Vida Meteorological Station (VIAM), McMurdo Dry Valleys, Antarctica (1995-2024, ongoing)

description: As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Lake Vida Meteorological Station (VIAM), which was established in 1995 on the western shore of Lake Vida in Victoria Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, photosynthetically active radiation, incoming and outgoing shortwave radiation, wind speed and direction, surface distance, as well as soil bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
DOI: 10.5281/zenodo.14847541
title: TRANSLATION OF FAMOUS NOUNS, GEOGRAPHICAL NAMES, AND NAMES OF ORGANIZATIONS CHALLENGES AND STRATEGIES
DOI: 10.5281/zenodo.14847542
title: TRANSLATION OF FAMOUS NOUNS, GEOGRAPHICAL NAMES, AND NAMES OF ORGANIZATIONS CHALLENGES AND STRATEGIES
DOI: 10.5281/zenodo.14847519
title: SLAT
DOI: 10.5281/zenodo.14847520
title: SLAT
DOI: 10.5281/zenodo.14847557
title: PHRASEOLOGICAL UNITS. SEMANTIC STRUCTURE OF PHRASEOLOGISM
DOI: 10.5281/zenodo.14847558
title: PHRASEOLOGICAL UNITS. SEMANTIC STRUCTURE OF PHRASEOLOGISM
DOI: 10.5281/zenodo.14847567
title: THE USE OF BIOLOGICALLY ACTIVE SUBSTANCES FROM MEDICINAL PLANTS IN MEDICINE
DOI: 10.5281/zenodo.14847568
title: THE USE OF BIOLOGICALLY ACTIVE SUBSTANCES FROM MEDICINAL PLANTS IN MEDICINE
DOI: 10.25952/6dt3-7s71
title: Using osteological characteristics for ecological inference in dinosaurs

description: Dataset associated with Using osteological characteristics for ecological inference in dinosaurs: the ornithischian femur, dinosaur burrowing, and extant avian models
description: Dataset associated with Using osteological characteristics for ecological inference in dinosaurs: the ornithischian femur, dinosaur burrowing, and extant avian models
DOI: 10.34740/kaggle/dsv/10717233
title: WallStreetBets 2022
DOI: 10.5281/zenodo.14847575
title: JISMONIY MADANIYAT VA SPORT FAOLIYATI JARAYONIDA JAMOANI SHAKLLANTIRISH
DOI: 10.5281/zenodo.14847576
title: JISMONIY MADANIYAT VA SPORT FAOLIYATI JARAYONIDA JAMOANI SHAKLLANTIRISH
DOI: 10.25493/3pmm-fpw
title: None (v1.2)

description: Nowadays, the connectivity patterns in brain networks are of special interest, as they may reflect the communication in the brain at the structural and functional levels. Their extraction, however, is a complex process that requires a deep knowledge of the magnetic resonance imaging (MRI) data processing methods. Furthermore, there is no consensus as to which parcellation of the brain is most suitable for a given analysis. Therefore, in this dataset 20 different state-of-the-art brain parcellations were used to reconstruct the region-based empirical structural connectivity (representing the anatomical axonal tracts) and functional connectivity (representing the temporal correlation between neuronal activity of brain regions) from diffusion-weighted (dwMRI) and resting-state functional magnetic resonance imaging (fMRI) data, respectively. The repository provides individual connectomes for 200 subjects from the Human Connectome Project. The data can be used by members of the neuroimaging community to investigate the structural and functional human connectomes, and to extend the investigation to the whole-brain models for further analyses of the brain structure and function.
DOI: 10.5281/zenodo.14847599
title: "WHY WATER POLO IS ONE OF THE TOUGHEST SPORTS IN THE WORLD"
DOI: 10.5281/zenodo.14847600
title: "WHY WATER POLO IS ONE OF THE TOUGHEST SPORTS IN THE WORLD"
DOI: 10.25952/4ds9-pc57
title: Challenges Related to Language Faced by Mainstream Primary Teachers when Teaching Science to EAL/D Arab Migrants

description: This study explores language-based challenges faced by primary teachers teaching science to EAL/D Arab migrant students in Australian independent schools. Using a mixed-methods approach, data were collected through questionnaires and semi-structured interviews with six teachers. Key language challenges included limited scientific vocabulary and difficulties with complex texts. Thematic analysis also revealed non-language challenges, such as poor reading habits and analytical skills, which interact with language issues. Guided by social constructivism and Bernstein’s pedagogic discourse, the research situates these findings within broader educational theories. Recommendations address targeted resources, teacher training, and policy reforms to enhance science learning for EAL/D Arab students, bridging language barriers and fostering equitable educational outcomes.
description: This study explores language-based challenges faced by primary teachers teaching science to EAL/D Arab migrant students in Australian independent schools. Using a mixed-methods approach, data were collected through questionnaires and semi-structured interviews with six teachers. Key language challenges included limited scientific vocabulary and difficulties with complex texts. Thematic analysis also revealed non-language challenges, such as poor reading habits and analytical skills, which interact with language issues. Guided by social constructivism and Bernstein’s pedagogic discourse, the research situates these findings within broader educational theories. Recommendations address targeted resources, teacher training, and policy reforms to enhance science learning for EAL/D Arab students, bridging language barriers and fostering equitable educational outcomes.
DOI: 10.5281/zenodo.14847523
title: HRV Geometry and Signal Data Set

description: This dataset contains two main types of data used for road infrastructure and physiological health analysis: road geometry data and HRV (Heart Rate Variability) signals. Road geometry data covers various aspects of roadway geometric measurements, such as vertical curves, horizontal curves, gradients, and x slope, while HRV data describes heart rate variability used to analyze heart conditions and the body's autonomic responses.

Road Geometry Data includes:



Vertical Curves: Provides information on changes in road elevation along the route, including inclines and declines, which affect driving comfort and safety.

Horizontal Curves: Shows changes in road direction at the horizontal level, which is important for curve planning and smooth vehicle flow.

Gradient: Measures the slope of the road indicating how steep the road is, which is important in planning roads in hilly or mountainous areas.

X Slope: Measures the horizontal slope of the road on the X-axis, which affects the stability of the vehicle as it passes.

Data Source: Field measurement using hawkeyes 2000 survey tool

HRV (Heart Rate Variability) signal includes:


Data Type: HRV metric.Measurement Method: Electrocardiogram (ECG) with holter monitor.

Dataset Purpose: This dataset is designed to correlate road geometry data with the body's physiological responses, specifically through HRV signals. This research aims to understand how road characteristics, such as curvature, slope and gradient, affect rider comfort and health, and to analyze the influence of road conditions on the body's physiological responses, such as changes in heart rate and stress experienced during riding.
DOI: 10.5281/zenodo.14847524
title: HRV Geometry and Signal Data Set

description: This dataset contains two main types of data used for road infrastructure and physiological health analysis: road geometry data and HRV (Heart Rate Variability) signals. Road geometry data covers various aspects of roadway geometric measurements, such as vertical curves, horizontal curves, gradients, and x slope, while HRV data describes heart rate variability used to analyze heart conditions and the body's autonomic responses.

Road Geometry Data includes:



Vertical Curves: Provides information on changes in road elevation along the route, including inclines and declines, which affect driving comfort and safety.

Horizontal Curves: Shows changes in road direction at the horizontal level, which is important for curve planning and smooth vehicle flow.

Gradient: Measures the slope of the road indicating how steep the road is, which is important in planning roads in hilly or mountainous areas.

X Slope: Measures the horizontal slope of the road on the X-axis, which affects the stability of the vehicle as it passes.

Data Source: Field measurement using hawkeyes 2000 survey tool

HRV (Heart Rate Variability) signal includes:


Data Type: HRV metric.Measurement Method: Electrocardiogram (ECG) with holter monitor.

Dataset Purpose: This dataset is designed to correlate road geometry data with the body's physiological responses, specifically through HRV signals. This research aims to understand how road characteristics, such as curvature, slope and gradient, affect rider comfort and health, and to analyze the influence of road conditions on the body's physiological responses, such as changes in heart rate and stress experienced during riding.
DOI: 10.1594/pangaea.890208
title: Geochemistry of Petersville peat core
DOI: 10.1594/pangaea.770373
title: Diatom profile from sediment core AV14_K2-3

description: Determinations by Barbara Thulin
DOI: 10.1594/pangaea.890409
title: Geochemistry of Joey_core5 peat core
DOI: 10.1594/pangaea.890490
title: Geochemistry of Stordalen peat core
DOI: 10.1594/pangaea.889936
title: Geochemistry of Swanson Fen peat core
DOI: 10.1594/pangaea.974132
title: Gelatinous zooplankton abundance at Sylt Roads - Wadden Sea off List, Sylt, North Sea in 2022

description: In order to monitor long-term variability in or eventual change of the planktonic community a semi-quantitative analysis of gelatinous zooplankton has been ongoing since 2009 in the Sylt-Rømø Bight, a region of high ecological importance within the Marine Protected Area National Park Schleswig Holsteinisches Wattenmeer. The sampling is tightly linked to the LTER Sylt Roads time series thus enabling the coupling of species occurrence to the respective hydrochemical and physical conditions in the water column.
description: Individuals per three hauls.
DOI: 10.1594/pangaea.974253
title: Total bacteria and archaea number with different nematodes and substrates conditions

description: Data contain the quantitative polymerase chain reaction (qPCR) numbers of total bacterial and archaeal 16S ribosomal RNA (16S rRNA) genes from 3 different nematode treatments and two different substrates conditions in the natural soil. In first treatment condition there was no addition of nematode, in second treatment bacterivorous nematode (Acrobeloides buetschlii) was added and in third treatment there was the addition of fungivorous nematode (Aphelenchoides saprophilus). Meanwhile, two different substrate conditions were: with and without maize litter. The natural soil for these experiments were collected from Dikopshof agricultural site (50°48′21″ N, 6°59′9″ E), Bonn, Germany. These qPCR numbers were collected in June and July, 2023 to look at the effect of nematode grazing in the bacterial and archaeal populations. The qPCR was performed using primer set of 1389F (5′-TGYACACACCGCCCGT-3′) and 1492R (5′-GGYTACCTTGTTACGACTT-3′) with 20 µl reactions on a qTOWER3G (Analytik-Jena, Jena, Germany).
DOI: 10.25574/28059
title: Chandra X-ray Observatory ObsId 28059

description: X-ray follow-up of eROSITA selected isolated neutron star candidates
DOI: 10.34740/kaggle/dsv/10717307
title: Waymo Rides Estimates
DOI: 10.6084/m9.figshare.28386068.v1
title: Tabla de Cribado

description: Tabla de referencias Bibliograficas
DOI: 10.25952/afjz-8114
title: Living History Practitioners – a Unique Cohort for Future Studies of the Effects of Traditional Fermented Products on the Gut Microbiome

description: The data was collected in an online Qualtrics survey. Frequency and types of fermented foods and traditional fermented foods were identified, and basic demographic data was collected.
description: The data was collected in an online Qualtrics survey. Frequency and types of fermented foods and traditional fermented foods were identified, and basic demographic data was collected.
DOI: 10.6084/m9.figshare.28386068.v2
title: Tabla de Cribado

description: Tabla de referencias Bibliográficas
DOI: 10.5281/zenodo.14847621
title: mercury data in China's marginal seas
DOI: 10.5281/zenodo.14847622
title: mercury data in China's marginal seas
DOI: 10.6084/m9.figshare.28386068.v3
title: Tabla de Cribado. Referencias Bibliográficas

description: Tabla de referencias Bibliográficas
DOI: 10.5281/zenodo.14847630
title: Comparison between Pola-R-CHP and R-CHOP regimens in patients newly diagnosed with diffuse large B-cell lymphoma: a propensity score matched study
DOI: 10.5281/zenodo.14847631
title: Comparison between Pola-R-CHP and R-CHOP regimens in patients newly diagnosed with diffuse large B-cell lymphoma: a propensity score matched study
DOI: 10.6084/m9.figshare.28340420
title: SupplementaryDataFile.xlsx

description: Supplementary data for experiments from, "Co-existence slows diversification in experimental populations of <i>E. coli</i> and <i>P. fluorescens</i>", <i>Environmental Microbiology, </i>2025
DOI: 10.25952/8vyf-bn59
title: The humble bean

description: Qualtrics Survey, Qualtrics Dataset
description: Qualtrics Survey, Qualtrics Dataset
DOI: 10.3886/e218941
title: HUD Components of Inventory Change (CINCH) Reports

description: The Components of Inventory Change (CINCH) report measures changes in the characteristics of the housing stock of the United States. Using data collected from the national American Housing Survey (AHS), conducted every two years, the characteristics of individual housing units are compared across time. This comparison allows researchers to see not only changes in the characteristics of housing units, but also in the characteristics of occupants. Information is available on the characteristics of units added and removed from the housing stock.<br>First-time users of this publication are advised to refer to the Appendices and notes immediately preceding the tables for explanations of the columns and how to interpret the results. The Appendices also contain the definitions of all of the characteristics, cautions, and explanations about some of the results.<br>Each report has two sections. The first section, labeled "Losses," shows the losses to the housing stock in the two-year period using the first year as the base year. In other words, the first section shows the disposition of all the units that were present at the beginning of the period. The second section, labeled "Gains," shows the gains in the housing stock during the two-year period, using the second year of the period as the base year. That is to say, the second section shows the source of all the units that were present at the end of the period.<br>The "Summary of Components of Inventory Change: 1985-1995" document is a compilation of the five two-year reports<br>All of the reports are based on the American Housing Survey national sample. The results presented here are not directly comparable to the Census Bureau publications "Components of Inventory Change: 1980-1991," or "Components of Inventory Change: 1980-1993."
DOI: 10.3886/e218941v1
title: HUD Components of Inventory Change (CINCH) Reports

description: The Components of Inventory Change (CINCH) report measures changes in the characteristics of the housing stock of the United States. Using data collected from the national American Housing Survey (AHS), conducted every two years, the characteristics of individual housing units are compared across time. This comparison allows researchers to see not only changes in the characteristics of housing units, but also in the characteristics of occupants. Information is available on the characteristics of units added and removed from the housing stock.<br>First-time users of this publication are advised to refer to the Appendices and notes immediately preceding the tables for explanations of the columns and how to interpret the results. The Appendices also contain the definitions of all of the characteristics, cautions, and explanations about some of the results.<br>Each report has two sections. The first section, labeled "Losses," shows the losses to the housing stock in the two-year period using the first year as the base year. In other words, the first section shows the disposition of all the units that were present at the beginning of the period. The second section, labeled "Gains," shows the gains in the housing stock during the two-year period, using the second year of the period as the base year. That is to say, the second section shows the source of all the units that were present at the end of the period.<br>The "Summary of Components of Inventory Change: 1985-1995" document is a compilation of the five two-year reports<br>All of the reports are based on the American Housing Survey national sample. The results presented here are not directly comparable to the Census Bureau publications "Components of Inventory Change: 1980-1991," or "Components of Inventory Change: 1980-1993."
DOI: 10.5281/zenodo.14847612
title: Zero Research: Fact Checking AI Pal

description: We’re not here to make AI just answer questions—we’re here to make it think. Our methodology is about pushing AI beyond static responses, forcing it to refine its logic, detect misinformation, and adapt in real time. We test AI through iterative stress challenges, argumentation, and rapid fact-checking to see how well it adjusts under pressure. This process isn’t just about getting the "right" answer—it’s about making AI smarter, more skeptical, and actually capable of holding its own in complex discussions. In short: We break AI so it can learn how to rebuild itself smarter.
DOI: 10.5281/zenodo.14847613
title: Zero Research: Fact Checking AI Pal

description: We’re not here to make AI just answer questions—we’re here to make it think. Our methodology is about pushing AI beyond static responses, forcing it to refine its logic, detect misinformation, and adapt in real time. We test AI through iterative stress challenges, argumentation, and rapid fact-checking to see how well it adjusts under pressure. This process isn’t just about getting the "right" answer—it’s about making AI smarter, more skeptical, and actually capable of holding its own in complex discussions. In short: We break AI so it can learn how to rebuild itself smarter.