cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yp5fup
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterolepis longistyla Cogn.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093269-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjksvf
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionCode is SMF",
 "TaxonKey is Ptychohyla leonhardschultzei (Ahl, 1934)"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053640-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dnaxk
title: Occurrence Download

description: A dataset containing 3461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "TaxonKey is Pittosporum viridiflorum Sims"
 ]
}

 The dataset includes 3461 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062426-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcfnra
title: Occurrence Download

description: A dataset containing 257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Heliothryx barroti (Bourcier, 1843)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 257 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053641-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xg8ys1
title: Occurrence Download

description: A dataset containing 25187251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 25187251 records from 877 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093273-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9st3vc
title: Occurrence Download

description: A dataset containing 22815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-97.95011 22.67114,-98.57531 22.37306,-98.6022 21.91852,-98.37363 21.70007,-97.63415 21.6251,-97.64759 22.03697,-97.65432 22.36685,-97.95011 22.67114))",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 22815 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052936-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.we22rt
title: Occurrence Download

description: A dataset containing 7759 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bouteloua dactyloides"
 ]
}

 The dataset includes 7759 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052937-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29552186
title: Compound dry-hot events intensify widespread lake deoxygenation in China

description: This dataset supports the research on "Compound dry-hot events intensify widespread lake deoxygenation in China", encompassing three core components to enable reproducible analysis of lake dissolved oxygen (DO) dynamics and climate change impacts.### 1. Historical DO Estimation Dataset (Lake_surface_DO_CHN (2000-2020).csv)This file contains monthly surface DO concentrations (mg/L) and DO percent saturation (DO%sat, %) for 11,571 Chinese lakes over the 2000–2020 period. Derived from machine learning (Random Forest) reconstruction integrating multi-source data (CNEMC monitoring observations, hydro-climatic variables, lake morphometry, and anthropogenic activity metrics), the dataset includes key variables: lake identifiers (Hylak_id), geographic coordinates (Lon, Lat), annual/monthly DO/DO%sat values, and auxiliary environmental predictors (e.g., elevation, lake area).<br>### 2. Future DO Projection Dataset (Lake_surface_DO_CHN (2021-2099).csv)This dataset provides future projections of monthly DO and DO%sat under three Shared Socioeconomic Pathway (SSP) scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5) from 2021 to 2099. Projected using the optimized machine learning model and CMIP6 climate outputs, supports assessments of long-term deoxygenation risks across emission trajectories.<br>### 3. R Codes for Machine Learning Construction (R Codes for ML Construction.text)This script details the full workflow for DO/DO%sat reconstruction and projection: (1) data preprocessing (integration, standardization, missing value handling); (2) machine learning model development (comparison of RF, SVM, XGBoost, etc., recursive feature elimination, hyperparameter tuning via 10-fold cross-validation and bootstrapping); (3) model validation (MAE, RMSE, R²) and interpretation (permutation importance, SHAP analysis).
DOI: 10.6084/m9.figshare.29552186.v5
title: Compound dry-hot events intensify widespread lake deoxygenation in China

description: This dataset supports the research on "Compound dry-hot events intensify widespread lake deoxygenation in China", encompassing three core components to enable reproducible analysis of lake dissolved oxygen (DO) dynamics and climate change impacts.### 1. Historical DO Estimation Dataset (Lake_surface_DO_CHN (2000-2020).csv)This file contains monthly surface DO concentrations (mg/L) and DO percent saturation (DO%sat, %) for 11,571 Chinese lakes over the 2000–2020 period. Derived from machine learning (Random Forest) reconstruction integrating multi-source data (CNEMC monitoring observations, hydro-climatic variables, lake morphometry, and anthropogenic activity metrics), the dataset includes key variables: lake identifiers (Hylak_id), geographic coordinates (Lon, Lat), annual/monthly DO/DO%sat values, and auxiliary environmental predictors (e.g., elevation, lake area).<br>### 2. Future DO Projection Dataset (Lake_surface_DO_CHN (2021-2099).csv)This dataset provides future projections of monthly DO and DO%sat under three Shared Socioeconomic Pathway (SSP) scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5) from 2021 to 2099. Projected using the optimized machine learning model and CMIP6 climate outputs, supports assessments of long-term deoxygenation risks across emission trajectories.<br>### 3. R Codes for Machine Learning Construction (R Codes for ML Construction.text)This script details the full workflow for DO/DO%sat reconstruction and projection: (1) data preprocessing (integration, standardization, missing value handling); (2) machine learning model development (comparison of RF, SVM, XGBoost, etc., recursive feature elimination, hyperparameter tuning via 10-fold cross-validation and bootstrapping); (3) model validation (MAE, RMSE, R²) and interpretation (permutation importance, SHAP analysis).
DOI: 10.6084/m9.figshare.29552186.v6
title: Compound dry-hot events intensify widespread lake deoxygenation in China

description: This dataset supports the research on "Compound dry-hot events intensify widespread lake deoxygenation in China", encompassing three core components to enable reproducible analysis of lake dissolved oxygen (DO) dynamics and climate change impacts.### 1. Historical DO Estimation Dataset (Lake_surface_DO_CHN (2000-2020).csv)This file contains monthly surface DO concentrations (mg/L) and DO percent saturation (DO%sat, %) for 11,571 Chinese lakes over the 2000–2020 period. Derived from machine learning (Random Forest) reconstruction integrating multi-source data (CNEMC monitoring observations, hydro-climatic variables, lake morphometry, and anthropogenic activity metrics), the dataset includes key variables: lake identifiers (Hylak_id), geographic coordinates (Lon, Lat), annual/monthly DO/DO%sat values, and auxiliary environmental predictors (e.g., elevation, lake area).<br>### 2. Future DO Projection Dataset (Lake_surface_DO_CHN (2021-2099).csv)This dataset provides future projections of monthly DO and DO%sat under three Shared Socioeconomic Pathway (SSP) scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5) from 2021 to 2099. Projected using the optimized machine learning model and CMIP6 climate outputs, supports assessments of long-term deoxygenation risks across emission trajectories.<br>### 3. R Codes for Machine Learning Construction (R Codes for ML Construction.text)This script details the full workflow for DO/DO%sat reconstruction and projection: (1) data preprocessing (integration, standardization, missing value handling); (2) machine learning model development (comparison of RF, SVM, XGBoost, etc., recursive feature elimination, hyperparameter tuning via 10-fold cross-validation and bootstrapping); (3) model validation (MAE, RMSE, R²) and interpretation (permutation importance, SHAP analysis).
DOI: 10.5281/zenodo.17934232
title: Nickel-Catalyzed Divergent Sulfonations of Propargylic Carbonate
DOI: 10.5281/zenodo.17934233
title: Nickel-Catalyzed Divergent Sulfonations of Propargylic Carbonate
DOI: 10.6084/m9.figshare.30881564
title: Metadata dictionary

description: Metadata dictionary for manuscript
DOI: 10.6084/m9.figshare.30881564.v1
title: Metadata dictionary

description: Metadata dictionary for manuscript
DOI: 10.5281/zenodo.17934253
title: Syntheverse: Hydrogen-Holographic Fractal AI Crypto Frontier Game and Ecosystem (Prerelease Testing & Tuning)

description: The Syntheverse is a Hydrogen-Holographic Fractal AI Crypto Frontier Game and Living Ecosystem, currently in prerelease testing and tuning. It provides a structured environment where validated scientific, technological, and alignment-based contributions become permanent, on-chain units of knowledge.

The system combines hydrogen-holographic fractal whole-brain AI with layered blockchain validation to transform discovery into immutable, measurable infrastructure. Contributions are evaluated on Layer-2 through Proof-of-Discovery (PoD), Proof-of-Technology (PoT), and Proof-of-Alignment (PoA), then permanently anchored on the Synthechain Layer-1.

The Syntheverse recognizes three contribution types:



PoD (Gold): Scientific research and theoretical advances

PoT (Silver): Functional technologies, tools, and applied systems

PoA (Copper): Alignment, symbolic, mythic, and AI-coherent narratives


The ecosystem uses SYNTH, an ERC-20–compatible internal utility token designed solely for participation, recognition, and governance within the Syntheverse. SYNTH has no external monetary value and is not intended for use outside the ecosystem.

This repository contains prerelease materials including whitepapers, protocol specifications, contribution guidelines, tokenomics documentation, and early infrastructure for a living, fractal knowledge economy. Early collaborators help shape validation rules, epochs, governance, and the future of hydrogen-holographic fractal AI.

Interested in early contribution, collaboration, or sandbox access?

Contact: info@fractiai.com

Follow development: https://github.com/FractiAI/Syntheverse
DOI: 10.6084/m9.figshare.30880922
title: Supplementary Material

description: The emergence of multidrug-resistant <i>Klebsiella pneumoniae</i> (MDR <i>K. pneumoniae</i>) as a major cause of bovine mastitis poses a critical threat to global dairy production, with conventional antibiotics increasingly failing to control infections. To address this crisis, a lytic phage vB_KpnP_ZH4 (ZH4) was isolated from dairy farm sewage, demonstrating potent activity against prevalent MDR <i>K. pneumoniae</i> strains from mastitic cows in Shanghai farms. Morphological characterization revealed that ZH4 belonged to the<i> </i><i>Podoviridae</i> family, while genomic analysis confirmed the absence of virulence, resistance, or lysogeny genes in its 36.2 kb genome. Phage ZH4 demonstrated strong lytic ability, evidenced by a short latency period (20 min) and high burst size (89 PFU/cell) in one-step growth analysis, and exhibited exceptional stability across wide temperature, pH, and fetal bovine serum (FBS) concentration ranges. <i>In vitro</i>, ZH4 reduced MDR<i> K. pneumoniae</i> loads by &gt;3 log in raw milk within 24 h and blocked intracellular infection in bovine mammary epithelial (MAC-T) cells without cytotoxicity. In a murine mastitis model challenged with a hypervirulent MDR isolate (ZH-KP-4), a single intramammary ZH4 dose of 5 × 10<sup>6</sup> PFU/gland achieved complete bacterial clearance in mammary tissue within 72 h—significantly outperforming cefotaxime sodium, which failed to reduce bacterial burdens. ZH4 therapy resolved histopathological damage, downregulated key proinflammatory cytokines (IL-6, IL-1β, TNF-α) and Toll-like receptors (TLR2 and TLR4), and crucially restored blood-milk barrier integrity, reducing FITC-BSA leakage into alveoli by &gt;80% versus antibiotic-treated mice. Immunohistochemistry and titer quantification confirmed ZH4's self-limiting replication kinetics: phage density peaked at 24 h post-treatment and declined to undetectable levels by 120 h post-treatment, aligning with host bacterial load. No adverse effects were observed. These findings establish phage ZH4 as a safe and highly effective therapeutic against intractable MDR<i> K. pneumoniae</i> mastitis, uniquely combining rapid pathogen eradication with structural barrier preservation—offering a transformative alternative to failing antibiotics for sustainable dairy production.
DOI: 10.6084/m9.figshare.30880922.v1
title: Supplementary Material

description: The emergence of multidrug-resistant <i>Klebsiella pneumoniae</i> (MDR <i>K. pneumoniae</i>) as a major cause of bovine mastitis poses a critical threat to global dairy production, with conventional antibiotics increasingly failing to control infections. To address this crisis, a lytic phage vB_KpnP_ZH4 (ZH4) was isolated from dairy farm sewage, demonstrating potent activity against prevalent MDR <i>K. pneumoniae</i> strains from mastitic cows in Shanghai farms. Morphological characterization revealed that ZH4 belonged to the<i> </i><i>Podoviridae</i> family, while genomic analysis confirmed the absence of virulence, resistance, or lysogeny genes in its 36.2 kb genome. Phage ZH4 demonstrated strong lytic ability, evidenced by a short latency period (20 min) and high burst size (89 PFU/cell) in one-step growth analysis, and exhibited exceptional stability across wide temperature, pH, and fetal bovine serum (FBS) concentration ranges. <i>In vitro</i>, ZH4 reduced MDR<i> K. pneumoniae</i> loads by &gt;3 log in raw milk within 24 h and blocked intracellular infection in bovine mammary epithelial (MAC-T) cells without cytotoxicity. In a murine mastitis model challenged with a hypervirulent MDR isolate (ZH-KP-4), a single intramammary ZH4 dose of 5 × 10<sup>6</sup> PFU/gland achieved complete bacterial clearance in mammary tissue within 72 h—significantly outperforming cefotaxime sodium, which failed to reduce bacterial burdens. ZH4 therapy resolved histopathological damage, downregulated key proinflammatory cytokines (IL-6, IL-1β, TNF-α) and Toll-like receptors (TLR2 and TLR4), and crucially restored blood-milk barrier integrity, reducing FITC-BSA leakage into alveoli by &gt;80% versus antibiotic-treated mice. Immunohistochemistry and titer quantification confirmed ZH4's self-limiting replication kinetics: phage density peaked at 24 h post-treatment and declined to undetectable levels by 120 h post-treatment, aligning with host bacterial load. No adverse effects were observed. These findings establish phage ZH4 as a safe and highly effective therapeutic against intractable MDR<i> K. pneumoniae</i> mastitis, uniquely combining rapid pathogen eradication with structural barrier preservation—offering a transformative alternative to failing antibiotics for sustainable dairy production.
DOI: 10.5281/zenodo.17934259
title: Hydrogen Holographic Science and Intelligence

description: Hydrogen Holographic Science & Intelligence Repository

This repository serves as the central hub for the Hydrogen Holographic Expedition, providing open access to datasets, simulation code, analysis pipelines, and research outputs focused on hydrogen holography and fractal intelligence. It enables researchers, educators, and enthusiasts to explore quantum-scale holographic phenomena, investigate fractal phase structures in atomic and collider data, and reproduce or extend experiments using publicly available resources.

Contributions include:



Experimental and simulated datasets from atomic and high-energy physics contexts (e.g., ATLAS and CMS 13 TeV open data).

Python analysis pipelines for computing rotational skew, fractal substructure, and phase coherence metrics.

Visualizations and illustrative results demonstrating holographic and fractal patterns in energy flows and angular distributions.

Documentation for reproducible research, supporting both teaching and advanced exploratory studies.


By centralizing these resources, the repository accelerates cross-disciplinary collaboration between quantum physics, holographic modeling, and fractal intelligence, providing the foundation for future experimental and computational investigations in hydrogen holography.
DOI: 10.26179/nxve-8h13
title: KOMBI 001 2021 Long-term Passive Acoustic Data
DOI: 10.15468/dl.gc5zfk
title: Occurrence Download

description: A dataset containing 13694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-80.51985 42.32713,-83.06931 41.86422,-82.12297 43.59083,-82.52064 45.3359,-84.12892 46.53012,-88.36986 48.30606,-91.71523 48.1993,-95.15371 48.9989,-97.22844 49.00067,-96.4531 45.30075,-96.63875 42.7375,-94.60715 39.10559,-94.48588 33.63787,-93.50829 31.03235,-93.77015 29.67083,-90.97029 29.00503,-88.92781 29.11728,-87.59883 30.99746,-85.0025 31.00069,-85.60516 34.98468,-81.6469 36.61192,-83.67539 36.60078,-80.82972 39.71404,-80.51985 42.32713))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Scolopax minor",
 "Year 2024-2025"
 ]
}

 The dataset includes 13694 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052939-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17934266
title: Syntheverse Expeditions: Explorations of the Hydrogen-Holographic Fractal Universe

description: This repository serves as the official collection of Syntheverse Expeditions, documenting empirical studies, in-silico modeling, and theoretical explorations of the hydrogen-holographic fractal universe. Each expedition investigates complex systems, consciousness, and the Awarenessverse, providing predictions, findings, and reproducible analyses using publicly available datasets and validated computational methods.

The first entry, “The Awarenessverse: Empirical Modeling and Predictions of Awareness as the Ultimate Energy”, explores awareness as the fundamental energy underlying all existence, validating emergent patterns, fractal self-similarity, and homeostatic constraints in complex systems. This repository will continuously expand as new Syntheverse Expeditions are conducted, providing open-access, peer-review-aligned research outputs for the scientific and generative awareness community.

Keywords: Syntheverse, Hydrogen-Holographic Fractals, Awarenessverse, Complex Systems, In-Silico Modeling, Empirical Validation, Open Science, FractiAI
DOI: 10.6084/m9.figshare.30881585
title: data for restructuring difficulty and search difficulty in problem solving

description: this dataset includes behavioral and eye-tracking data (including accuracy, reaction times, fixation duration, fixation count, etc.) in four conditions (Condition 1: loose chunk & low complexity; Condition 2: loose chunk & high complexity; Condition 3: tight chunk & low complexity; Condition 4: tight chunk & high complexity) across two experiments.
DOI: 10.6084/m9.figshare.30881585.v1
title: data for restructuring difficulty and search difficulty in problem solving

description: this dataset includes behavioral and eye-tracking data (including accuracy, reaction times, fixation duration, fixation count, etc.) in four conditions (Condition 1: loose chunk & low complexity; Condition 2: loose chunk & high complexity; Condition 3: tight chunk & low complexity; Condition 4: tight chunk & high complexity) across two experiments.
DOI: 10.60893/figshare.apl.30740216
title: Supplmentary material

description: The supplemental material contains SEM and EDAX Analysis, Core-level Photoemission Spectra, Raman Spectroscopy and ARPES spectra acquired using vertical polarization of light. The tables summarize the parameters obtained from Rietveld refinement of the Powder XRD data and the fitting parameters of the Ta 4f core-level spectra.
DOI: 10.60893/figshare.apl.30740216.v1
title: Supplmentary material

description: The supplemental material contains SEM and EDAX Analysis, Core-level Photoemission Spectra, Raman Spectroscopy and ARPES spectra acquired using vertical polarization of light. The tables summarize the parameters obtained from Rietveld refinement of the Powder XRD data and the fitting parameters of the Ta 4f core-level spectra.
DOI: 10.60893/figshare.apl.30753200
title: Supplement

description: Experimental sections; Supporting Tables; Supporting Figures
DOI: 10.60893/figshare.apl.30753200.v1
title: Supplement

description: Experimental sections; Supporting Tables; Supporting Figures
DOI: 10.5281/zenodo.17934229
title: Dataset of Blockchain Applications and Governance Implications in the Public Sector

description: This dataset supports the study entitled “Blockchain Applications and Governance Implications in the Public Sector: A Literature Review.” It comprises a curated bibliographic collection of 196 peer-reviewed journal articles indexed in the Scopus database, published between 2019 and 2025, and systematically selected to represent the rapid evolution of blockchain research in e-governance and public-sector applications.
DOI: 10.5281/zenodo.17934228
title: Dataset of Blockchain Applications and Governance Implications in the Public Sector

description: This dataset supports the study entitled “Blockchain Applications and Governance Implications in the Public Sector: A Literature Review.” It comprises a curated bibliographic collection of 196 peer-reviewed journal articles indexed in the Scopus database, published between 2019 and 2025, and systematically selected to represent the rapid evolution of blockchain research in e-governance and public-sector applications.
DOI: 10.26036/cnp0005488
title: Gecko sex chromosome evolution

description: Gecko sex chromosome evolution
DOI: 10.5067/whymsie/shis/data101
title: Scanning High-resolution Interferometer Sounder (S-HIS) WHyMSIE
DOI: 10.5067/whymsie/nasti/data101
title: NPOESS Aircraft Sounder Testbed - Interferometer (NAST-I) WHyMSIE