cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cjjjn8
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Swertia kilimandscharica",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 218 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030406-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9muy26
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoenix canariensis",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030408-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9hyqx2
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoenix canariensis",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030407-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ey8xb3
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sisymbrium orientale",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030409-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4e5g9
title: Occurrence Download

description: A dataset containing 10526 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fallopia scandens"
 ]
}

 The dataset includes 10526 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030410-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c57659t80
title: MassIVE MSV000098603 - Dietary cholesterol- and saturated fat-induced gut microbial factors drive fibrosing Metabolic dysfunction-associated steatohepatitis
title: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects approximately one-third of the global population. MASLD can progress to metabolic dysfunction-associated steatohepatitis (MASH) with fibrosis, increasing risk of cirrhosis, hepatocellular carcinoma, and death. Gut microbes driven by high dietary saturated fat, simple sugar, and cholesterol contribute to disease, yet mechanisms require investigation. Here, we investigated the independent vs. synergistic effects of dietary saturated fat and cholesterol in MASH using specific pathogen-free (SPF) and germ-free (GF) mice. We demonstrate that 1) dietary cholesterol and saturated fat are required to drive fibrosing MASH in SPF mice, while GF mice are protected, 2) Dietary saturated fat and cholesterol exert individual effects on gut microbiota membership, potentially driven by altered bile acid metabolism, yet their combination promotes a unique composition, including an increase in Parasutterella spp., that correlates with hepatic fibrosis, 3) Microbiota-dependent gut factors in mice fed high-saturated fat and high-cholesterol diets were able to activate human hepatic stellate cells in vitro, suggesting a potential mechanistic link between diet-induced microbiota and fibrogenesis. These findings provide new insights into how dietary cholesterol and saturated fat drive changes in gut microbiota and promote liver fibrosis via stellate activation, offering potential targets for therapeutic intervention in MASLD/MASH.
DOI: 10.15468/dl.hh4jzu
title: Occurrence Download

description: A dataset containing 11839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Tringa totanus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 11839 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030412-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e9bnw
title: Occurrence Download

description: A dataset containing 6308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Castor fiber",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6308 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030413-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufgu2b
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Swertia lugardae",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 196 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030414-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hknt3m
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoenix canariensis",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030416-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wznbqg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoenix canariensis",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030417-250717081556266/datasets/export for details.
DOI: 10.6084/m9.figshare.29621687
title: Optimizing Polygenic Scores for Complex Morphological Traits

description: This project hosts supplementary material relevant to the following research work:Optimizing Polygenic Scores for Complex Morphological Traits: A Case Study in Nasal Shape Prediction<br>
DOI: 10.6084/m9.figshare.29621687.v1
title: Optimizing Polygenic Scores for Complex Morphological Traits

description: This project hosts supplementary material relevant to the following research work:Optimizing Polygenic Scores for Complex Morphological Traits: A Case Study in Nasal Shape Prediction<br>
DOI: 10.15468/dl.khx6wj
title: Occurrence Download

description: A dataset containing 3780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lantana camara",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3780 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030415-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ww66h5
title: Occurrence Download

description: A dataset containing 1419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sisymbrium orientale",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1419 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030418-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdj6t9
title: Occurrence Download

description: A dataset containing 1148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Costa Rica, Colombia, Ecuador, Guatemala, Honduras, Panama)",
 "OccurrenceStatus is Present",
 "TaxonKey is Porthidium nasutum"
 ]
}

 The dataset includes 1148 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030419-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c53f4m15r
title: MassIVE MSV000098604 - OmNI: A Modular Open-Source Framework for Multi-Omics Data Integration and Interactive Visualization
title: Omics Notebook Interactive (OmNI) is an R-based open-source, modular framework for streamlined multi-omics data integration and analysis, supporting diverse data types. It provides interactive visualizations at each step for informed preprocessing. OmNI performs differential expression analysis using customizable, limma-powered linear models, managing covariates and complex designs. It integrates data across omic layers via a modified S-score statistic for sensitive detection of differential features. OmNI facilitates network and metabolomics integration, offering detailed insights into regulatory mechanisms through multiple pathway databases for wide enrichment analysis coverage. Outputs include interactive HTML reports, CSV/TSV files, and Cytoscape-compatible objects. OmNI is easily deployable on local or HPC environments for scalable processing. A challenging case study comprising deep proteome and phosphoproteome analysis of brains from genetically diverse mouse Collaborative Cross Diversity Outbred (CC/DO) founder strains exposed to fentanyl for 30 minutes highlights OmNI's capabilities. The integrated S-score uniquely identifies differential signaling and novel interaction hubs, underscoring OmNI's effectiveness. OmNI is available at https://github.com/gracerhpotter/OmNI.
DOI: 10.15468/dl.m95a87
title: Occurrence Download

description: A dataset containing 3444 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apteryx haastii"
 ]
}

 The dataset includes 3444 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030420-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtecju
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Swertia scandens",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030421-250717081556266/datasets/export for details.
DOI: 10.15468/dl.58dmcb
title: Occurrence Download

description: A dataset containing 706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microtus arvalis",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 706 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030422-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ga2dn
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoenix canariensis",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030423-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwnbja
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoenix canariensis",
 "Country is Greece",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030425-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvu6jg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoenix canariensis",
 "Country is Georgia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030424-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16335049
title: Stefan Rohringer - Universal AI Algorithms - License Required for Commercial Use

description: Revolutionary Universal AI Algorithms by Stefan Rohringer

⚠️ LICENSE NOTICE: COMMERCIAL USE REQUIRES LICENSE FEES TO STEFAN ROHRINGER💰 Contact required for licensing agreements before any commercial application🚫 Unauthorized commercial use is prohibited and will be legally prosecuted🌍 International copyright protection enforced in 177 countries

This dataset contains 10 breakthrough Universal AI algorithms that enable seamless scaling from 1GB to 1000GB+ AI models with unprecedented compression ratios up to 16,777,216× without quality loss.

AUTHOR VERIFICATION:- Creator: Stefan Rohringer (rohme@DESKTOP-BKSQAEK)- Created: July 22, 2025, 10:30 PM- SHA-256 Hash: 8214e09f0c533af9e536717a7fa7060447f15a3c0cfdc6c535930416cc219bbe- System: Windows (Microsoft CertUtil verified)

KEY INNOVATIONS (LICENSE REQUIRED FOR COMMERCIAL USE):1. Delta Learning Engine (DLE) - Adaptive Mega-Scaling2. LoRA Matrix Compression (LMC) - 16,777,216× Compression  3. Genetic Chunk Distribution (GCD) - P2P Evolution4. Adaptive Quantization Engine (AQE) - Intelligent Bits5. Progressive Layer Freezing (PLF) - Smart Layer Management6. Dynamic Attention Compression (DAC) - Entropy Optimization7. Universal Model Scaling (UMS) - Mathematical Scaling8. Cross-Platform Engine (CPCE) - Universal Compatibility9. Intelligent Peer Selection (IPS) - ML Peer Optimization10. Real-Time Inference Optimization (RIO) - Sub-100ms Guarantee

TECHNICAL SPECIFICATIONS:- Model Scaling: 1GB ↔ 1000GB+ (1000× range)- Compression: Up to 16,777,216× without quality loss- Platforms: Windows + Mac + Linux + Android + iOS- Precision: 4-bit to 16-bit adaptive per layer- P2P: Genetic optimization for distributed networks- Latency: Guaranteed <100ms real-time inference- Memory: Minimal RAM through Progressive Layer Freezing- Quality: No quality loss at maximum compression

LICENSING INFORMATION:- Academic Research: Free for non-commercial academic research with proper citation- Commercial Use: Requires licensing agreement with Stefan Rohringer- Contact: stefan.rohringer@web.de for licensing agreements- Legal Protection: German copyright law (UrhG §2) and Berne Convention (177 countries)

BREAKTHROUGH IMPACT:These algorithms represent a paradigm shift in AI model optimization, enabling universal scaling across all major AI architectures (GPT, LLaMA, Gemini, Claude, etc.) while maintaining full quality. Commercial applications require licensing fees to support continued research and development.

CITATION REQUIREMENT:Stefan Rohringer (2025). Universal AI Algorithms - Revolutionary Breakthrough Technologies. Zenodo. DOI: 10.5281/zenodo.16335050

⚠️ VIOLATION NOTICE: Unauthorized commercial use will result in immediate legal action for copyright infringement and licensing fee collection.
DOI: 10.5281/zenodo.16335050
title: Stefan Rohringer - Universal AI Algorithms - License Required for Commercial Use

description: Revolutionary Universal AI Algorithms by Stefan Rohringer

⚠️ LICENSE NOTICE: COMMERCIAL USE REQUIRES LICENSE FEES TO STEFAN ROHRINGER💰 Contact required for licensing agreements before any commercial application🚫 Unauthorized commercial use is prohibited and will be legally prosecuted🌍 International copyright protection enforced in 177 countries

This dataset contains 10 breakthrough Universal AI algorithms that enable seamless scaling from 1GB to 1000GB+ AI models with unprecedented compression ratios up to 16,777,216× without quality loss.

AUTHOR VERIFICATION:- Creator: Stefan Rohringer (rohme@DESKTOP-BKSQAEK)- Created: July 22, 2025, 10:30 PM- SHA-256 Hash: 8214e09f0c533af9e536717a7fa7060447f15a3c0cfdc6c535930416cc219bbe- System: Windows (Microsoft CertUtil verified)

KEY INNOVATIONS (LICENSE REQUIRED FOR COMMERCIAL USE):1. Delta Learning Engine (DLE) - Adaptive Mega-Scaling2. LoRA Matrix Compression (LMC) - 16,777,216× Compression  3. Genetic Chunk Distribution (GCD) - P2P Evolution4. Adaptive Quantization Engine (AQE) - Intelligent Bits5. Progressive Layer Freezing (PLF) - Smart Layer Management6. Dynamic Attention Compression (DAC) - Entropy Optimization7. Universal Model Scaling (UMS) - Mathematical Scaling8. Cross-Platform Engine (CPCE) - Universal Compatibility9. Intelligent Peer Selection (IPS) - ML Peer Optimization10. Real-Time Inference Optimization (RIO) - Sub-100ms Guarantee

TECHNICAL SPECIFICATIONS:- Model Scaling: 1GB ↔ 1000GB+ (1000× range)- Compression: Up to 16,777,216× without quality loss- Platforms: Windows + Mac + Linux + Android + iOS- Precision: 4-bit to 16-bit adaptive per layer- P2P: Genetic optimization for distributed networks- Latency: Guaranteed <100ms real-time inference- Memory: Minimal RAM through Progressive Layer Freezing- Quality: No quality loss at maximum compression

LICENSING INFORMATION:- Academic Research: Free for non-commercial academic research with proper citation- Commercial Use: Requires licensing agreement with Stefan Rohringer- Contact: stefan.rohringer@web.de for licensing agreements- Legal Protection: German copyright law (UrhG §2) and Berne Convention (177 countries)

BREAKTHROUGH IMPACT:These algorithms represent a paradigm shift in AI model optimization, enabling universal scaling across all major AI architectures (GPT, LLaMA, Gemini, Claude, etc.) while maintaining full quality. Commercial applications require licensing fees to support continued research and development.

CITATION REQUIREMENT:Stefan Rohringer (2025). Universal AI Algorithms - Revolutionary Breakthrough Technologies. Zenodo. DOI: 10.5281/zenodo.16335050

⚠️ VIOLATION NOTICE: Unauthorized commercial use will result in immediate legal action for copyright infringement and licensing fee collection.
DOI: 10.15468/dl.w24vwm
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Swertia volkensii",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 125 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030426-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9ft2x
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microtus levis",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030427-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95p6a8
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030428-250717081556266/datasets/export for details.
DOI: 10.15468/dl.nup9f9
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pachydactylus griffini"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030430-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jzh27
title: Occurrence Download

description: A dataset containing 169046 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Tringa totanus)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 169046 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030403-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tuc6fm
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoenix canariensis",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 78 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030432-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.