cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60723/11287
title: Dual molecular diagnosis due to heterozygous variants in ZMYDN11 and ATP2B1

description: We present the case of a 15-year-old patient with mild intellectual disability and behavioural abnormalities. He achieved the milestones of psychomotor development late and had muscular hypotonia in early childhood. He attends a special needs school and has limited reading and writing skills.  He lives with a foster family and has been reported to exhibit aggressive outbursts. Physical examination revealed hypertelorism, long palpebral fissures, full lips and thick, curly hair. Chromosome analysis, array CGH and FMR1 repeat diagnostics were unremarkable. Exome analysis identified two rare heterozygous variants. The first was a frameshift variant in ZMYND11 (NM_001370100.5:c.1317_1320del;p.(Thr440fs*3)), which has previously been reported in patients with an autosomal dominant intellectual disability disorder (MRD30, MIM:616083). The second variant was a nonsense variant in the ATP2B1 gene (NM_001366521.1:c.2959G>T;p.(Glu987*)), which, to our knowledge, has not yet been reported in the literature. However, comparable nonsense variants have been described as the cause of an autosomal dominant developmental disorder (MRD66, MIM:619910). Segregation analysis was not possible.
DOI: 10.60635/c3hk73
title: Tungara frog memory - behavioral data 2021-2022

description: Across taxa, males gather in leks to perform courtship displays for females. These leks are dynamic environments that include variations in male attendance, signal production, signal degradation, and predation attempts. This dynamic nature makes a female’s ability to recall the location of individual signalers an important component of female mate choice. It is hypothesized that multimodal displays may improve a female’s ability to remember a signaler. To test this hypothesis, we presented female túngara frogs (Physalaemus (=Engystomops) pustulosus) with playbacks of male calls (auditory) and robotic frogs (visual) that could later be obstructed from view. Specifically, we asked if females could remember the location of a multisensory signal after the visual component was occluded. We also conducted treatments that had silent pauses in the playbacks, and had increased presentation times. Memory instantiation (i.e. memory formation, storage, and retrieval) was achieved in treatments with silent periods and increased presentation times. Females’ ability to remember the location of the multisensory signal persisted for up to 25 s following a visual obstruction. We also recorded locomotor behaviors and found that they differed between treatment type; females were more likely to take indirect paths (vs direct) to their choice if their treatment incorporated a silent period. Silent pauses and visual obstructions are common in noisy forest choruses. Our data provide one of the few studies suggesting that multisensory signals are favored because they make signalers more memorable to receivers.Here, we release the data that were collected from these trials in 2021 and 2022.Speakers played male whine-chuck calls and served as the auditory stimulus. Robotic frogs served as an additional visual stimulus. Pairs were collected in amplexus at various sites around Gamboa, Panamá and were ID’d (“Frog #”) so that they could be returned to their original site.
DOI: 10.25934/pr00011964
title: Machine Learning for AMR prediction in African Pathogens

description: This study aims to develop and validate machine learning models for predicting antimicrobial resistance in priority bacterial pathogens affecting African populations. Specific objectives include:
Primary Objective: 
Develop machine learning classifiers to predict antimicrobial resistance profiles from bacterial genomic sequences for E. coli and K. pneumoniae against first-line and last-resort antibiotics
Secondary Objectives:
Identify genomic features and resistance mechanisms most predictive of phenotypic resistance
Evaluate model generalizability across different geographic regions, with emphasis on African strain data
Compare performance of different ML architectures (graph neural networks, gradient boosting, ensemble methods) 
Develop interpretable models that identify resistance genes and mechanisms
Tertiary Objective: 
Create a proof-of-concept web-based tool for clinicians to input genomic data and receive resistance predictions


Clinical Significance
Rapid diagnostics: Genomic sequencing can be completed in 4-6 hours, and ML prediction in seconds, compared to 24-72 hours for culture-based testing
Improved treatment decisions: Accurate resistance prediction enables targeted antibiotic selection, reducing inappropriate use
Outbreak response: Rapid identification of resistance patterns aids infection control measures

Scientific Innovation
African-focused validation: Most AMR prediction models are trained predominantly on Western data; this study will specifically validate performance on African bacterial strains
Multi-drug prediction: Simultaneous prediction of resistance to multiple antibiotics from a single genomic input
Mechanism discovery: Interpretable ML approaches to identify novel or emerging resistance mechanisms
Integration-ready: Design for potential integration with existing genomic surveillance systems

Public Health Impact
Addresses the highest AMR burden globally (sub-Saharan Africa)
Supports antimicrobial stewardship efforts in resource-limited settings
Provides actionable data for targeted interventions against priority pathogens
DOI: 10.15468/dl.b5mha7
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Lebia grandis"
 ]
}

 The dataset includes 25 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006444-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13855707
title: Booru.org Top Leaderboard
DOI: 10.15468/dl.zvcmme
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Perillus bioculatus"
 ]
}

 The dataset includes 277 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006447-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60520/ieda/113976
title: PMO6v8 - Total Solar Irradiance Dataset from VIRGO/PMO6 - 08/2025

description: Total Solar Irradiance recorded since 1996 from the PMO6 radiometer on board of the SOHO/VIRGO. The degradation correction is performed using the Machine Learning Algorithm discussed in doi:10.1038/s41598-021-87108-y
description: Finsterle, W., Montillet, J.P., Schmutz, W. et al. The total solar irradiance during the recent solar minimum period measured by SOHO/VIRGO. Sci Rep 11, 7835 (2021).
DOI: 10.15468/dl.mwzvyw
title: Occurrence Download

description: A dataset containing 1421 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schoenobryum"
 ]
}

 The dataset includes 1421 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006449-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsrctt
title: Occurrence Download

description: A dataset containing 1093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Country is Costa Rica",
 "Issue is one of (Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84)",
 "OccurrenceStatus is Present",
 "TaxonKey is Procyon"
 ]
}

 The dataset includes 1093 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006450-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60520/ieda/114245
title: PMO6v8 - Total Solar Irradiance Dataset from VIRGO/PMO6 - November 2025

description: Total Solar Irradiance recorded since 1996 from the PMO6 radiometer on board of the SOHO/VIRGO. The degradation correction is performed using the Machine Learning Algorithm discussed in doi:10.1038/s41598-021-87108-y
description: Finsterle, W., Montillet, J.P., Schmutz, W. et al. The total solar irradiance during the recent solar minimum period measured by SOHO/VIRGO. Sci Rep 11, 7835 (2021).
DOI: 10.5281/zenodo.17698836
title: Data related to: "Genetic diversity and genomic prediction in alder (Alnus glutinosa) to support seed orchard improvement and sustainable forestry"

description: This repository contains the data of phenotype, geographic location, SNPs and R script to conduct the genomic prediction of alder on height and DBH, as well as its results. This repository is related to the manuscript "Genetic diversity and genomic prediction in alder (Alnus glutinosa) to support seed orchard improvement and sustainable forestry"
DOI: 10.5281/zenodo.17698837
title: Data related to: "Genetic diversity and genomic prediction in alder (Alnus glutinosa) to support seed orchard improvement and sustainable forestry"

description: This repository contains the data of phenotype, geographic location, SNPs and R script to conduct the genomic prediction of alder on height and DBH, as well as its results. This repository is related to the manuscript "Genetic diversity and genomic prediction in alder (Alnus glutinosa) to support seed orchard improvement and sustainable forestry"
DOI: 10.15468/dl.9f46pz
title: Occurrence Download

description: A dataset containing 83789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Tayside Beaver Survey 2017-18, iNaturalist Research-grade Observations, Survey of the Tayside Area Beaver Population, 2020-2021, Norwegian Species Observation Service, Biodiversitätsdatenbank Salzburg, Artportalen, VMM - Rat control occurrences in Flanders, Belgium)",
 "TaxonKey is Castor fiber",
 "Year 2010-2025"
 ]
}

 The dataset includes 83789 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006441-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8qewvn
title: Occurrence Download

description: A dataset containing 339877861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnoliopsida",
 "HasCoordinate is true",
 "ScientificName ~* *"
 ]
}

 The dataset includes 339877861 records from 12932 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006416-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9cr5eu
title: Occurrence Download

description: A dataset containing 2902 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrotheca riobambae (Fowler, 1913)"
 ]
}

 The dataset includes 2902 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015798-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14009130
title: Catalysts in gasoline particulate filters

description: Galaxy RO Crate object containing the workflow and data with the reproduction of the results published in: Panchal, Monik, Callison, June, Skukauskas, Vainius, Gianolio, Diego, Cibin, Giannantonio, York, Andrew P E, Schuster, Manfred E, Hyde, Timothy I, Collier, Paul, Catlow, C Richard A, Gibson, Emma K (2021) Operando XAFS investigation on the effect of ash deposition on three-way catalyst used in gasoline particulate filters and the effect of the manufacturing process on the catalytic activity DOI: 10.1088/1361-648x/abfe16.

This RO is published as part of the research data submitted for the paper Facilitating Reproducibility in Catalysis Research with Managed Workflows and RO-Crates: A Galaxy Case Study, ChemCatChem, DOI: 10.1002/cctc.202401676.
description: This ROC is tested on the version of Galaxy deployed at stfc materials galaxy on October 2024
DOI: 10.5281/zenodo.14009131
title: Catalysts in gasoline particulate filters

description: Galaxy RO Crate object containing the workflow and data with the reproduction of the results published in: Panchal, Monik, Callison, June, Skukauskas, Vainius, Gianolio, Diego, Cibin, Giannantonio, York, Andrew P E, Schuster, Manfred E, Hyde, Timothy I, Collier, Paul, Catlow, C Richard A, Gibson, Emma K (2021) Operando XAFS investigation on the effect of ash deposition on three-way catalyst used in gasoline particulate filters and the effect of the manufacturing process on the catalytic activity DOI: 10.1088/1361-648x/abfe16.

This RO is published as part of the research data submitted for the paper Facilitating Reproducibility in Catalysis Research with Managed Workflows and RO-Crates: A Galaxy Case Study, ChemCatChem, DOI: 10.1002/cctc.202401676.
description: This ROC is tested on the version of Galaxy deployed at stfc materials galaxy on October 2024
DOI: 10.15468/dl.2md32x
title: Occurrence Download

description: A dataset containing 2902 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrotheca riobambae (Fowler, 1913)"
 ]
}

 The dataset includes 2902 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015797-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15574531
title: 2010 - London- Flights

description: University of Reading Urban Micromet Group  

contact zenodo.micromet@gmail.com for access

Year: 2010 

City: London

Site: Flights

Funding: NERC

Key People: Simone Kotthaus,  Martin Wooster
DOI: 10.5281/zenodo.15574532
title: 2010 - London- Flights

description: University of Reading Urban Micromet Group  

contact zenodo.micromet@gmail.com for access

Year: 2010 

City: London

Site: Flights

Funding: NERC

Key People: Simone Kotthaus,  Martin Wooster
DOI: 10.15468/dl.5bevc4
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024639-250811113504898/datasets/export for details.
DOI: 10.15468/dl.ufh6h9
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024637-250811113504898/datasets/export for details.
DOI: 10.15468/dl.5feyta
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Desmodium uncinatum",
 "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/0024638-250811113504898/datasets/export for details.
DOI: 10.5281/zenodo.18333978
title: Collection of Object-Centric Event Logs (OCEL 2.0 format; XML specification)

description: We provide some realistic examples of logs in the OCEL 2.0 standard.
DOI: 10.5281/zenodo.8261095
title: Collection of Object-Centric Event Logs (OCEL 2.0 format; XML specification)

description: We provide some realistic examples of logs in the OCEL 2.0 standard.
DOI: 10.5281/zenodo.17222503
title: Creating Effective Teams in Software Engineering Education

description: This is a dataset for the paper "Creating Effective Teams in Software Engineering Education: Approaches and Influencing Factors" submitted to ICSE-SEET 2026.
DOI: 10.5281/zenodo.17222504
title: Creating Effective Teams in Software Engineering Education

description: This is a dataset for the paper "Creating Effective Teams in Software Engineering Education: Approaches and Influencing Factors" submitted to ICSE-SEET 2026.
DOI: 10.15468/dl.xguzz6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.61896299999999 24.316474, 88.54190699999999 24.310897, 88.466768 24.294305, 88.395414 24.26711, 88.329615 24.229989, 88.271002 24.183863, 88.221019 24.129877, 88.18089500000001 24.06937, 88.151607 24.003838, 88.133864 23.934902, 88.128084 23.864264, 88.13439 23.793662, 88.152607 23.724836, 88.182271 23.659475, 88.22263700000001 23.599181, 88.27270300000001 23.545433, 88.33123399999999 23.499545, 88.39679 23.462638, 88.46776800000001 23.435613, 88.542433 23.41913, 88.61896299999999 23.413591, 88.695493 23.41913, 88.770158 23.435613, 88.84113600000001 23.462638, 88.90669200000001 23.499545, 88.96522299999999 23.545433, 89.015289 23.599181, 89.055655 23.659475, 89.085319 23.724836, 89.10353600000001 23.793662, 89.109842 23.864264, 89.104062 23.934902, 89.086319 24.003838, 89.05703099999999 24.06937, 89.016907 24.129877, 88.96692400000001 24.183863, 88.908311 24.229989, 88.842512 24.26711, 88.771158 24.294305, 88.69601900000001 24.310897, 88.61896299999999 24.316474))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004322-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18317539
title: Global Public Domain Database of Allosteric Pharmacophores for 50+ Critical Drug Targets (KRAS, p53, PCSK9, SMN2)

description: The Global Public Domain Database of Allosteric Pharmacophores (v2.0 - Complete Trilogy)

1. Executive Summary & Legal Declaration This repository constitutes a comprehensive strategic disclosure of over 150 critical therapeutic targets, releasing precise 3D coordinates (X, Y, Z) of computationally identified allosteric binding sites into the Global Public Domain.

By publishing this dataset under the CC0 1.0 Universal License, the author explicitly waives all copyright and related rights. These disclosures serve as "PRIOR ART" under 35 U.S.C. § 102 (USA) and Article 54 of the European Patent Convention (EPC). Any subsequent patent application claiming "novelty" for small molecules binding specifically to the cryptic pockets disclosed herein is legally invalid.

2. Methodology: The Lrenom Protocol Target structures were analyzed using a proprietary Inverse Covariance Matrix (Precision Matrix) approach, filtered by the topological Lrenom Constant (Λr≈1.1107). This mathematical filter effectively distinguishes obligate functional allosteric sites from transient thermal noise, identifying high-affinity "lock-and-key" mechanisms previously unknown or undisclosed by the pharmaceutical industry.

3. Dataset Contents (The Trilogy)

📂 PART 1: ONCOLOGY & METABOLIC TARGETS (Dataset_01_...csv)





Target Scope: The "Undruggable" Cancer Targets & Chronic Diseases.




Key Targets: KRAS G12C, p53 (Y220C Stabilizer), EGFR T790M, PCSK9 (Cholesterol), SMN2 (SMA), and Beta-Amyloid (Alzheimer).




Impact: Preempts monopolies on next-generation cancer therapies and gene modulation.



📂 PART 2: IMMUNOLOGY & ANTIMICROBIAL RESISTANCE (Dataset_02_...csv)





Target Scope: Autoimmune Blockbusters & Superbugs.




Key Targets: TNF-Alpha (Humira target), JAK1/2/3 Kinases, IL-17A, NDM-1 (New Delhi Metallo-beta-lactamase), MRSA PBP2a, and Vancomycin Resistance (VanA).




Impact: Democratizes access to treatments for rheumatoid arthritis and creates an open-source shield against antibiotic-resistant bacteria.



📂 PART 3: VIROLOGY & PANDEMIC SHIELD (Dataset_03_...csv)





Target Scope: Global Viral Threats & Chronic Infections.




Key Targets: Hepatitis C (NS5B Polymerase), Hepatitis B, HIV-1 gp120, SARS-CoV-2 (Conserved Spike Epitopes), Universal Influenza Stem, Nipah Virus, and Ebola.




Impact: Prevents the patenting of essential antivirals for future pandemics and current chronic viral burdens.



4. Statement of Intent This database is released to break the cycle of artificial scarcity in medicine. By mapping the "backdoors" (allosteric sites) of the world's most profitable proteins, we ensure that the cures of the future belong to humanity, not to a patent portfolio.

Creator: Kaan Bozanlı (Independent Researcher, Institute of Structural Dynamics) License: CC0 1.0 Universal (Public Domain) Date: January 20, 2026
DOI: 10.15468/dl.gy9pg7
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Howdenypa"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004327-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gvmtxv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.61896299999999 24.316474, 88.54190699999999 24.310897, 88.466768 24.294305, 88.395414 24.26711, 88.329615 24.229989, 88.271002 24.183863, 88.221019 24.129877, 88.18089500000001 24.06937, 88.151607 24.003838, 88.133864 23.934902, 88.128084 23.864264, 88.13439 23.793662, 88.152607 23.724836, 88.182271 23.659475, 88.22263700000001 23.599181, 88.27270300000001 23.545433, 88.33123399999999 23.499545, 88.39679 23.462638, 88.46776800000001 23.435613, 88.542433 23.41913, 88.61896299999999 23.413591, 88.695493 23.41913, 88.770158 23.435613, 88.84113600000001 23.462638, 88.90669200000001 23.499545, 88.96522299999999 23.545433, 89.015289 23.599181, 89.055655 23.659475, 89.085319 23.724836, 89.10353600000001 23.793662, 89.109842 23.864264, 89.104062 23.934902, 89.086319 24.003838, 89.05703099999999 24.06937, 89.016907 24.129877, 88.96692400000001 24.183863, 88.908311 24.229989, 88.842512 24.26711, 88.771158 24.294305, 88.69601900000001 24.310897, 88.61896299999999 24.316474))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004328-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.