cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nzkv23hz3p.4
title: INO80/SWR Remodelers Regulate Pol II Transcription through BRD2 and Chromatin Landscape

description: The original Western blot images in the article
DOI: 10.17632/v76dthbjsx
title: The Illusion of Deep Time: Systematic Discordant Radiometric Ages and the Myth of an Ancient Ocean Floor

description: Radiometric dating, once hailed as the gold standard of science, repeatedly delivers wild contradictions — rocks we know are just centuries old are dated as millions of years ancient. Even worse, the same methods often give completely different results on the same rocks.

So what’s really going on? This study explores how Catastrophic Plate Tectonics during the global Flood explains the puzzle far better than “deep time.” Lava cooling under extreme submarine pressures traps excess argon gas, inflating the apparent ages into the millions. Yet once recalibrated, the numbers fit perfectly within a Biblical young-Earth timeline. 

For decades, textbooks have claimed Earth’s seafloor proves “millions of years” of slow spreading. But new evidence tells a very different story. From the bottom of the ocean to the top of Mount Everest, the evidence points in the same direction: the rocks don’t whisper “deep time” — they shout rapid change, global catastrophe, and a young Earth.
DOI: 10.17632/v76dthbjsx.1
title: The Illusion of Deep Time: Systematic Discordant Radiometric Ages and the Myth of an Ancient Ocean Floor

description: Radiometric dating, once hailed as the gold standard of science, repeatedly delivers wild contradictions — rocks we know are just centuries old are dated as millions of years ancient. Even worse, the same methods often give completely different results on the same rocks.

So what’s really going on? This study explores how Catastrophic Plate Tectonics during the global Flood explains the puzzle far better than “deep time.” Lava cooling under extreme submarine pressures traps excess argon gas, inflating the apparent ages into the millions. Yet once recalibrated, the numbers fit perfectly within a Biblical young-Earth timeline. 

For decades, textbooks have claimed Earth’s seafloor proves “millions of years” of slow spreading. But new evidence tells a very different story. From the bottom of the ocean to the top of Mount Everest, the evidence points in the same direction: the rocks don’t whisper “deep time” — they shout rapid change, global catastrophe, and a young Earth.
DOI: 10.17632/vybhk6djbf.1
title: Spermidine alleviates heat stress-induced testicular dysfunction potentially by modulating oxidative stress, autophagy, and apoptosis in mice

description: While the detrimental impact of heat stress on male fertility is well-documented, the development of targeted therapeutic interventions remains a critical unmet need. Spermidine, a naturally occurring polyamine found in both plants and animals, possesses diverse biological activities, including potential antioxidant and autophagy-modulating properties. This study aimed to investigate whether spermidine alleviates heat stress-induced impairment of spermatogenesis via its antioxidant effects and/or regulation of autophagy. The accompanying tables present results from semen analyses—including sperm count, motility, and morphology—as well as assessments of testicular spermatogenic function, such as testis-to-body weight ratio and seminiferous tubule integrity.
DOI: 10.17632/jxc5j8vtvb
title: PySTH: A Python program for calculating and analyzing theoretical solar-to-hydrogen efficiency

description: Solar-to-hydrogen (STH) efficiency is a key metric for evaluating the economic feasibility of hydrogen production via solar-driven water splitting. However, accurately calculating theoretical STH efficiency remains challenging due to the complexity of the underlying integrals and the presence of multiple interdependent material parameters, which hampers computational efficiency and reproducibility. In this work, we introduce PySTH, a Python-based command-line program designed to enable rapid and reliable computation and intuitive visualization of theoretical STH efficiencies for two-dimensional photocatalysts under various sets of material property parameters. All required parameters are derived from first-principles calculations. The program supports four distinct photocatalytic systems: conventional photocatalysts, Janus materials, Z-scheme heterojunctions, and Janus Z-scheme systems. PySTH also generates high-resolution efficiency maps that reveal how the interplay among different material parameters affects STH efficiency, thereby offering valuable insights into synergistic optimization strategies. A series of benchmark examples demonstrate the accuracy, versatility, and practical utility of the program in theoretical photocatalysis research.
DOI: 10.17632/jxc5j8vtvb.1
title: PySTH: A Python program for calculating and analyzing theoretical solar-to-hydrogen efficiency

description: Solar-to-hydrogen (STH) efficiency is a key metric for evaluating the economic feasibility of hydrogen production via solar-driven water splitting. However, accurately calculating theoretical STH efficiency remains challenging due to the complexity of the underlying integrals and the presence of multiple interdependent material parameters, which hampers computational efficiency and reproducibility. In this work, we introduce PySTH, a Python-based command-line program designed to enable rapid and reliable computation and intuitive visualization of theoretical STH efficiencies for two-dimensional photocatalysts under various sets of material property parameters. All required parameters are derived from first-principles calculations. The program supports four distinct photocatalytic systems: conventional photocatalysts, Janus materials, Z-scheme heterojunctions, and Janus Z-scheme systems. PySTH also generates high-resolution efficiency maps that reveal how the interplay among different material parameters affects STH efficiency, thereby offering valuable insights into synergistic optimization strategies. A series of benchmark examples demonstrate the accuracy, versatility, and practical utility of the program in theoretical photocatalysis research.
DOI: 10.17632/jbw4grssvx
title: Deterministic Quantum Gravity Governed by the Hamzah Certainty Constant (ΩH∗).

description: The Hamzah Certainty Constant ΩH∗\Omega_{H}^{\ast}ΩH∗ in Deterministic Quantum Gravity
The proposed Hamzah Certainty Constant ΩH∗\Omega_{H}^{\ast}ΩH∗ represents a fundamental shift in our understanding of the deep relationship between General Relativity (GR) and Quantum Mechanics (QM). Traditionally, the incompatibility between these two frameworks has hindered the construction of a single coherent theory of quantum gravity. General Relativity governs the curvature of space–time at macroscopic and cosmological scales, while Quantum Mechanics dominates microscopic and subatomic phenomena. When both regimes overlap—for instance, in black holes or at the Big Bang—our present theories break down.

The introduction of ΩH∗\Omega_{H}^{\ast}ΩH∗ addresses this conflict by postulating that beneath the apparent indeterminacy of quantum mechanics lies a deeper deterministic substrate, expressed through an integral–fractal mathematical framework. This structure replaces Heisenberg’s uncertainty with a fundamental certainty principle, which becomes manifest only in regimes where gravitational curvature and quantum fields are inseparably intertwined.

Conceptual Foundation
Deterministic Quantum Gravity (DQG):
This theory suggests that probabilistic quantum outcomes are emergent, not fundamental. By embedding quantum operators within fractal-integral space–time, one achieves a deterministic core. The Hamzah Constant ΩH∗\Omega_{H}^{\ast}ΩH∗ acts as the coupling bridge between the geometry of space–time and the quantum wavefunction.

Integral–Fractal Framework:
Standard integrals describe smooth, continuous dynamics. Fractals, by contrast, capture self-similar, irregular patterns across scales. By combining these, the theory encodes both smooth curvature (from GR) and fine-grained quantum irregularities (from QM). The result is a unified formalism capable of spanning the micro–macro divide.

Testable Predictions
A critical strength of the proposal is its empirical testability, distinguishing it from many speculative unification attempts. The predictions include:

Gravitational Waves (LIGO Data):
Subtle deviations in the spectrum of gravitational waves, particularly at high frequencies, may reveal the deterministic signatures encoded by ΩH∗\Omega_{H}^{\ast}ΩH∗.

Cosmic Microwave Background (CMB):
The primordial fluctuations in the CMB may carry fractal imprints, offering direct evidence of the underlying deterministic substrate at the earliest epochs of the universe.

Black Hole Information Recovery:
In contrast to the Hawking paradox of information loss, the integral–fractal formalism predicts complete information recovery. Black holes, rather than being ultimate sinks, act as deterministic transformers of information, with ΩH∗\Omega_{H}^{\ast}ΩH∗ governing the process.

Scientific Implications
Resolution of GR–QM Conflict:
By establishing a common deterministic base, the theory dissolves the long-standing conceptual tension between curved
DOI: 10.17632/jbw4grssvx.1
title: Deterministic Quantum Gravity Governed by the Hamzah Certainty Constant (ΩH∗).

description: The Hamzah Certainty Constant ΩH∗\Omega_{H}^{\ast}ΩH∗ in Deterministic Quantum Gravity
The proposed Hamzah Certainty Constant ΩH∗\Omega_{H}^{\ast}ΩH∗ represents a fundamental shift in our understanding of the deep relationship between General Relativity (GR) and Quantum Mechanics (QM). Traditionally, the incompatibility between these two frameworks has hindered the construction of a single coherent theory of quantum gravity. General Relativity governs the curvature of space–time at macroscopic and cosmological scales, while Quantum Mechanics dominates microscopic and subatomic phenomena. When both regimes overlap—for instance, in black holes or at the Big Bang—our present theories break down.

The introduction of ΩH∗\Omega_{H}^{\ast}ΩH∗ addresses this conflict by postulating that beneath the apparent indeterminacy of quantum mechanics lies a deeper deterministic substrate, expressed through an integral–fractal mathematical framework. This structure replaces Heisenberg’s uncertainty with a fundamental certainty principle, which becomes manifest only in regimes where gravitational curvature and quantum fields are inseparably intertwined.

Conceptual Foundation
Deterministic Quantum Gravity (DQG):
This theory suggests that probabilistic quantum outcomes are emergent, not fundamental. By embedding quantum operators within fractal-integral space–time, one achieves a deterministic core. The Hamzah Constant ΩH∗\Omega_{H}^{\ast}ΩH∗ acts as the coupling bridge between the geometry of space–time and the quantum wavefunction.

Integral–Fractal Framework:
Standard integrals describe smooth, continuous dynamics. Fractals, by contrast, capture self-similar, irregular patterns across scales. By combining these, the theory encodes both smooth curvature (from GR) and fine-grained quantum irregularities (from QM). The result is a unified formalism capable of spanning the micro–macro divide.

Testable Predictions
A critical strength of the proposal is its empirical testability, distinguishing it from many speculative unification attempts. The predictions include:

Gravitational Waves (LIGO Data):
Subtle deviations in the spectrum of gravitational waves, particularly at high frequencies, may reveal the deterministic signatures encoded by ΩH∗\Omega_{H}^{\ast}ΩH∗.

Cosmic Microwave Background (CMB):
The primordial fluctuations in the CMB may carry fractal imprints, offering direct evidence of the underlying deterministic substrate at the earliest epochs of the universe.

Black Hole Information Recovery:
In contrast to the Hawking paradox of information loss, the integral–fractal formalism predicts complete information recovery. Black holes, rather than being ultimate sinks, act as deterministic transformers of information, with ΩH∗\Omega_{H}^{\ast}ΩH∗ governing the process.

Scientific Implications
Resolution of GR–QM Conflict:
By establishing a common deterministic base, the theory dissolves the long-standing conceptual tension between curved
DOI: 10.18739/a2zw18v2p
title: Terrestrial carbon, water and energy fluxes measured by eddy covariance, and associated biomet variables, at three adjacent tundra ecosystems at Imnavait Creek, Alaska, 2021

description: This Arctic Observing Network (AON) project focuses on maintaining and expanding our long-term network of measurements of carbon, water, and energy exchange in terrestrial systems in Alaska. These exchanges help regulate the Arctic System and its feedbacks to global climate. Thus, extending long-term observations is a key science priority for the observing-change component of the Study of Environmental Arctic Change (SEARCH). Detecting and interpreting change in arctic C, water, and energy fluxes requires a continuous year-round record over multiple years. Recent data syntheses and modeling studies of Arctic Carbon balance suggest that tundra is either a carbon dioxide (CO2) sink, a source, or neutral (e.g., McGuire et al., 2009, McGuire et al., 2012) . This uncertainty arises mainly from a lack of data on winter CO2 flux and how tundra responds to recent warming. Because of harsh, remote environments and the lack of line power, long-term measurements of arctic CO2 fluxes over the full year are rare. We have been measuring year-round C, water, and energy fluxes for eleven years in two broadly representative flagship observatories with long-term histories of research, at Imnavait Creek near Toolik Lake, Alaska, and near Cherskiy, Siberia.
 Similar versions of these eddy covariance and biomet data are available from Ameriflux as sites US-ICx. https://ameriflux.lbl.gov/data/download-data/ Our three Imnavait Creek Alaska sites retained multiple names over the years. The following clarification is needed. The 'official' site name is followed by the technical station name (IC_xxxx), the positional name (Ridge), and the Ameriflux site name (US-ICx), and finally the site coordinates.
 Wet Sedge tundra (IC_1523, Fen, US-ICs) 68.6058 -149.3110
 Tussock tundra (IC_1993, Tussock, US-ICt) 68.6063 -149.3041
 Dry Heath tundra (IC_1991, Ridge, US-ICh) 68.6068 -149.2958
DOI: 10.15468/dl.bhyt98
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myagrum perfoliatum",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023322-250827131500795/datasets/export for details.
DOI: 10.17632/pd6zyhfr5w
title: Data for the Diesel exhaust Drive Significant Missing OH Reactivity: Field Evidence from Shanghai Megacity

description: The shared dataset was the characterization of missing OH reactivity (OHR) along with the source apportionment of ROGs and missing OHR, focusing on the impacts of missing OHR on ozone production rate and NOx thresholds, including 4 tables.​
Table 1. Time series and diurnal patterns of OHRcal, OHRmeas, missing OHR, and the pie chart of different categories to the OHRmeas.
Table 2. Impacts of missing OHR on net ozone production rate and ozone formation sensitivity regime.
Table 3. Scatter plot​ of missing OHR with major tracers during the whole measurement period.
Table 4. The mass distributions of each species among these factors for missing OHR sources and ROGs sources.
DOI: 10.17632/pd6zyhfr5w.1
title: Data for the Diesel exhaust Drive Significant Missing OH Reactivity: Field Evidence from Shanghai Megacity

description: The shared dataset was the characterization of missing OH reactivity (OHR) along with the source apportionment of ROGs and missing OHR, focusing on the impacts of missing OHR on ozone production rate and NOx thresholds, including 4 tables.​
Table 1. Time series and diurnal patterns of OHRcal, OHRmeas, missing OHR, and the pie chart of different categories to the OHRmeas.
Table 2. Impacts of missing OHR on net ozone production rate and ozone formation sensitivity regime.
Table 3. Scatter plot​ of missing OHR with major tracers during the whole measurement period.
Table 4. The mass distributions of each species among these factors for missing OHR sources and ROGs sources.
DOI: 10.15468/dl.fsstzj
title: Occurrence Download

description: A dataset containing 36768857 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Brazil"
 ]
}

 The dataset includes 36768857 records from 4891 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023289-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjkhvc
title: Occurrence Download

description: A dataset containing 428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is LACM Vertebrate Collection",
 "TaxonKey is Macrotus Gray, 1843"
 ]
}

 The dataset includes 428 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117575-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25966/rjgg-r639
title: NASA Ames Mars Climate Modeling Center Beta Output Release 1

description: This archive contains simulation output from the Mars Climate Modeling Center's FV3-based Mars Global Climate Model (MGCM).

The FV3-based Mars GCM uses the NOAA/GFDL cubed-sphere finite volume dynamical core and Mars-appropriate physical parameterizations developed at NASA Ames Research Center (see Haberle et al., 2019 for detailed physics descriptions).  The planetary boundary layer is parameterized based on the Mellor and Yamada (1982) scheme; the turbulent fluxes are computed from Monin-Obukhov similarity theory. A two-stream correlated-k radiative transfer scheme is used to account for the radiative effects of CO2 and (optionally) H2O gas and atmospheric aerosols (Toon et al., 1989; Lacis and Oinas, 1991). In this version, dust is the only radiatively active aerosol and its optical properties depend on specified, fixed effective particle sizes. The spatial and temporal distribution of dust is prescribed based on a background dust climatology, which is a zonally averaged dust map constructed from the dust scenarios of Montebone et al. (2015) by identifying the spatially and seasonally varying minimum value of the multiyear record (MY29-34) to filter out the influence of episodic regional dust storms.  In the vertical, dust follows modified Conrath-nu profiles (Forget et al., 1999).  The CO2 cycle is accounted for through the condensation and sublimation of CO2 on the surface and the condensation of CO2 in the atmosphere.

This is a c48 reference simulation, which means that the relatively uniform horizontal resolution in the cubed-sphere geometry is, on average 1.875 degrees. The simulation was executed for six years to ensure equilibration, and output from the sixth simulated year is provided.  Output is provided at a regridded resolution of 2 degrees of longitude by 2 degrees of latitude, with 56 hybrid sigma-pressure layers in the vertical.

Landing Page Contact: dataportal@nas.nasa.gov
DOI: 10.15468/dl.r9umtm
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hadronema militare Uhler, 1872"
 ]
}

 The dataset includes 138 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117576-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18742/19467218
title: The Geography of Litter - Behaviour Observations

description: Despite a universal aversion to litter, it is predicted that 62% of the UK population actively drops litter (Keep Britain Tidy, 2013), yet only 20% of the population will admit to it (DEFRA, 2018). This raises the question that, if the public, academics and government officials are aware of litter, actively fighting it and employing best available science in their efforts, why does rubbish continue to accumulate in public spaces? To explore this, a series of covert behaviour observation studies were run to quantify methods of waste disposal in England. Data included within is raw output of observations where behaviours are categorised and coded. Code is available in the Metadata tab.
<br>
DOI: 10.18742/19467218.v1
title: The Geography of Litter - Behaviour Observations

description: Despite a universal aversion to litter, it is predicted that 62% of the UK population actively drops litter (Keep Britain Tidy, 2013), yet only 20% of the population will admit to it (DEFRA, 2018). This raises the question that, if the public, academics and government officials are aware of litter, actively fighting it and employing best available science in their efforts, why does rubbish continue to accumulate in public spaces? To explore this, a series of covert behaviour observation studies were run to quantify methods of waste disposal in England. Data included within is raw output of observations where behaviours are categorised and coded. Code is available in the Metadata tab.
<br>
DOI: 10.15468/dl.rfvnwp
title: Occurrence Download

description: A dataset containing 7877 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hildoceratidae"
 ]
}

 The dataset includes 7877 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117577-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9ujc7
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material citation)",
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Melanitta fusca (Linnaeus, 1758)",
 "Year 1970-2020"
 ]
}

 The dataset includes 121 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117579-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zu4f4q
title: Occurrence Download

description: A dataset containing 2932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (France, United Kingdom of Great Britain and Northern Ireland, Spain)",
 "TaxonKey is Suillus bovinus (L.) Roussel"
 ]
}

 The dataset includes 2932 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117580-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kf2vqy
title: Occurrence Download

description: A dataset containing 784620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lauraceae"
 ]
}

 The dataset includes 784620 records from 2154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117551-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.