cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5067/s3a/olci/l3b/ilw/5.0
title: Sentinel-3A OLCI Regional Binned Inland Waters (ILW) Data, version 5.0
DOI: 10.5067/oscar/l4m/eloev/1
title: OSCAR Global Mapped Eulerian and Lagrangian Oceanography and Ecology Variables Data, version 1
DOI: 10.5281/zenodo.17944628
title: Replication Package for "MV-SZZ: A Majority Voting-Based SZZ Method"

description: Replication Package for "MV-SZZ: A Majority Voting-Based SZZ Method"
DOI: 10.5281/zenodo.17944921
title: Supplementary Material for: The 2020 Addendum Missed by Swiss Ephemeris: A 12,000-Year ΔT Audit Using JPL Horizons (DE441)

description: Supplementary material for: The 2020 Addendum Missed by Swiss Ephemeris: A 12,000-Year ΔT Audit Using JPL Horizons (DE441). 

Prepared December 2025
DOI: 10.15139/s3/fqc33j
title: City of Phoenix Road Safety Action Plan Vision Zero: Strategies & Actions to Reduce Traffic Deaths & Serious Injuries to Zero (2022). Phoenix, Arizonia

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
description: The plan was originally downloaded on 11.12.2025 at the following link: https://www.phoenix.gov/content/dam/phoenix/streetssite/documents/vision_zero_road_safety_action_plan.pdf
DOI: 10.6084/m9.figshare.30818906
title: Data for "A comparison of methods for rating residue: Dynamic Imaging Grade of Swallowing Toxicity (DIGEST) pharyngeal residue estimation and measures derived from image segmentation"

description: The Dynamic Imaging Grade of Swallowing Toxicity efficiency (DIGEST-E) grade is based on perceptual estimates of bolus percentage remaining in the pharynx after the primary swallow. These data compare DIGEST percent residue (DIGEST-PR) ratings to four different segmentation-based metrics of % residue. The segmentation approaches involve pixel-based measures of bolus area from three key frames during the swallowing sequence: Frame A: a pre-swallow frame prior to new bolus entry into the pharynx; Frame B: the frame immediately before upper esophageal sphincter (UES) opening; and Frame C: the frame immediately after UES closure. These segmented area tracings are used to calculate residue severity according to four different ratios: 1. Total Residue as Percent Total Bolus (also known as the Bolus Clearance Ratio (BCR): Total residue area on Frame C/Total bolus area on Frame B x 100%2. New Bolus Residue as Percent New Bolus (NBRPNB): (Total residue area on Frame C – pre-swallow residue area on Frame A)/(Total bolus area on Frame B – Pre-swallow residue area on Frame A) x 100%3. New Bolus Residue as Percent Total Bolus (NBRPTB): (Total residue area on Frame C – pre-swallow residue area on Frame A)/Total bolus area on Frame B x 100%4. Total Residue as Percent New Bolus (TRPNB): (Total residue area on Frame C)/(Total bolus area on Frame B – Pre-swallow residue area on Frame A) x 100%<br><br>
DOI: 10.6084/m9.figshare.30818906.v1
title: Data for "A comparison of methods for rating residue: Dynamic Imaging Grade of Swallowing Toxicity (DIGEST) pharyngeal residue estimation and measures derived from image segmentation"

description: The Dynamic Imaging Grade of Swallowing Toxicity efficiency (DIGEST-E) grade is based on perceptual estimates of bolus percentage remaining in the pharynx after the primary swallow. These data compare DIGEST percent residue (DIGEST-PR) ratings to four different segmentation-based metrics of % residue. The segmentation approaches involve pixel-based measures of bolus area from three key frames during the swallowing sequence: Frame A: a pre-swallow frame prior to new bolus entry into the pharynx; Frame B: the frame immediately before upper esophageal sphincter (UES) opening; and Frame C: the frame immediately after UES closure. These segmented area tracings are used to calculate residue severity according to four different ratios: 1. Total Residue as Percent Total Bolus (also known as the Bolus Clearance Ratio (BCR): Total residue area on Frame C/Total bolus area on Frame B x 100%2. New Bolus Residue as Percent New Bolus (NBRPNB): (Total residue area on Frame C – pre-swallow residue area on Frame A)/(Total bolus area on Frame B – Pre-swallow residue area on Frame A) x 100%3. New Bolus Residue as Percent Total Bolus (NBRPTB): (Total residue area on Frame C – pre-swallow residue area on Frame A)/Total bolus area on Frame B x 100%4. Total Residue as Percent New Bolus (TRPNB): (Total residue area on Frame C)/(Total bolus area on Frame B – Pre-swallow residue area on Frame A) x 100%<br><br>
DOI: 10.5281/zenodo.17944363
title: Denoise Nano-XRD dataset

description: Traning dataset for use in the 2nd edition of Machine Learning for Microscopy Hackathon 2.
DOI: 10.5281/zenodo.17944364
title: Denoise Nano-XRD dataset

description: Traning dataset for use in the 2nd edition of Machine Learning for Microscopy Hackathon 2.
DOI: 10.26093/cds/vizier.35320023
title: TIMASSS. I. IRAS 16293-2422 spectra

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' TIMASSS: the IRAS 16293-2422 millimeter and submillimeter spectral survey. I. Observations, calibration, and analysis of the line kinematics.' (bibcode: 2011A&A...532A..23C)
DOI: 10.17605/osf.io/yjb3e
title: QC0705
DOI: 10.26093/cds/vizier.19720151
title: Doppler beaming factors in binary stars

description: VizieR online Data Catalogue associated with article published in journal Astrophysical Journal with title ' Direct Method to Compute Doppler Beaming Factors in Binary Stars.' (bibcode: 2024ApJ...972..151Z)
DOI: 10.6084/m9.figshare.30803426.v2
title: Supplemental Table 1

description: Oligonucleotide sequences for Real time RT-PCR
DOI: 10.5281/zenodo.17945177
title: weecology/PortalData: 6.29.0

description: v6.29.0
DOI: 10.6084/m9.figshare.30865751.v2
title: <b>Comparative Analysis of Manual and Automated (HbA1c) Methods in β-Thalassemia Carriers with Diabetes</b>

description: This dataset contains anonymized clinical and biochemical data from diabetic patients with β-thalassemia minor collected at Fallujah city, Iraq. Variables include age, gender, chronic disease history, random blood sugar, HbA1c, and HbA2 levels. The data were used in the study “Comparative Analysis of Manual and Automated HbA1c Methods in β-Thalassemia Carriers with Diabetes.” All patient identifiers have been removed to ensure confidentiality. The dataset supports the findings reported in the corresponding F1000Research article.
DOI: 10.6084/m9.figshare.30865751.v1
title: <b>Comparative Analysis of Manual and Automated (HbA1c) Methods in β-Thalassemia Carriers with Diabetes</b>

description: This dataset contains anonymized clinical and biochemical data from diabetic patients with β-thalassemia minor collected at Fallujah city, Iraq. Variables include age, gender, chronic disease history, random blood sugar, HbA1c, and HbA2 levels. The data were used in the study “Comparative Analysis of Manual and Automated HbA1c Methods in β-Thalassemia Carriers with Diabetes.” All patient identifiers have been removed to ensure confidentiality. The dataset supports the findings reported in the corresponding F1000Research article.
DOI: 10.15468/dl.ny8bxu
title: Occurrence Download

description: A dataset containing 5256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Germany, Poland, Czechia, Slovakia)",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis lupus",
 "Year 1950-2025"
 ]
}

 The dataset includes 5256 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054077-251120083545085/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.30601784
title: Energetic Constraints on Chemolithoautotrophy and Habitability Data - Kidd Creek Deep Fluid and Deep Life Observatory

description: This dataset contains the geochemical, gas composition, and thermodynamic data associated with the study “Energetic Constraints on Chemolithoautotrophy and Habitability Data - Kidd Creek Deep Fluid and Deep Life Observatory.” The data were collected from saline fracture fluids and service waters sampled from 2.4 km depth at Kidd Creek Observatory. These fluids represent some of the oldest known waters on Earth and provide insight into the potential for chemolithoautotrophic life in the deep subsurface.The dataset includes:Table 1: Major ion and aqueous geochemical composition of fracture waters and service water.Table 2: Dissolved gas composition of fracture waters and service water from 2.4 km depth at Kidd Creek.Table S-1: Identification of limiting reactants for modeled reactions.Tables S-2 to S-4: Thermodynamic assessments of sulfate reduction, methanogenesis, and acetogenesis in 2.4 km deep Kidd Creek fracture waters.These data were used to estimate energy densities and potential power supply for microbial metabolisms in Kidd Creek fracture waters, providing constraints on deep biosphere habitability and biogeochemical processes in ancient crustal fluids.
DOI: 10.6084/m9.figshare.30601784.v1
title: Energetic Constraints on Chemolithoautotrophy and Habitability Data - Kidd Creek Deep Fluid and Deep Life Observatory

description: This dataset contains the geochemical, gas composition, and thermodynamic data associated with the study “Energetic Constraints on Chemolithoautotrophy and Habitability Data - Kidd Creek Deep Fluid and Deep Life Observatory.” The data were collected from saline fracture fluids and service waters sampled from 2.4 km depth at Kidd Creek Observatory. These fluids represent some of the oldest known waters on Earth and provide insight into the potential for chemolithoautotrophic life in the deep subsurface.The dataset includes:Table 1: Major ion and aqueous geochemical composition of fracture waters and service water.Table 2: Dissolved gas composition of fracture waters and service water from 2.4 km depth at Kidd Creek.Table S-1: Identification of limiting reactants for modeled reactions.Tables S-2 to S-4: Thermodynamic assessments of sulfate reduction, methanogenesis, and acetogenesis in 2.4 km deep Kidd Creek fracture waters.These data were used to estimate energy densities and potential power supply for microbial metabolisms in Kidd Creek fracture waters, providing constraints on deep biosphere habitability and biogeochemical processes in ancient crustal fluids.
DOI: 10.6084/m9.figshare.30803426
title: Supplemental Table 1

description: Oligonucleotide sequences for Real time RT-PCR
DOI: 10.6084/m9.figshare.30803426.v3
title: Supplemental Table 1

description: Oligonucleotide sequences for Real time RT-PCR
DOI: 10.6084/m9.figshare.30803426.v4
title: Supplemental Table 1

description: Oligonucleotide sequences for Real time RT-PCR
DOI: 10.15468/dl.wscc3r
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.20716 37.32345,-0.25669 37.32345,-0.25669 38.10364,-2.20716 38.10364,-2.20716 37.32345))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hieraaetus fasciatus",
 "Year 2004-2025"
 ]
}

 The dataset includes 45 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054078-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17944107
title: Disproving General Relativity: Gravity as the Large-Scale Emergence of Magnetic Alignment

description: This experimental report challenges the foundational assumption of General Relativity — that gravity emerges from the curvature of spacetime. Through slow-motion demonstrations using rectangular and spherical magnets, we reveal three key findings: 








Magnetic attraction and repulsion are not symmetrical. 










In free systems, repulsion rarely manifests as sustained separation and instead generates torque that reorients bodies toward attraction. 










When curvature is introduced — as in spherical systems, the true geometry of atoms, planets, vesicles, and stars — stable repulsion becomes physically impossible. 






Our results show that gravity is not a fundamental geometric distortion but a large-scale statistical consequence of universal magnetic alignment. The findings reposition gravity as an emergent magnetic phenomenon arising from rotational degrees of freedom in a curved universe. 

Crucially, this study documents an anomaly where opposite magnetic poles failed to attract in a flat-plane configuration, with attraction only triggering upon the introduction of angular inclination (torque). This suggests that gravitational attraction is not an inherent property of mass or spacetime curvature, but the inevitable outcome of magnetic interaction in a universe of spherical bodies possessing rotational degrees of freedom.
DOI: 10.34740/kaggle/dsv/14169239
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5683/sp3/udw8sl
title: Provincial Input-Output Tables, Provincial Demand Level S, 1997-2008 [Canada]
title: Federal
title: Tableaux symétriques d'entrées-sorties provinciaux, demande provinciale Niveau S, 1997-2008 [Canada]

description: &lt;b&gt;Provincial Input-Output Tables (15F0042XDB)&lt;/b&gt;&lt;/br&gt;

&lt;p&gt;The Input-Output accounting system consists of three tables. The input tables (USE tables) detail the commodities that are consumed by various industries. Output tables (MAKE tables) detail the commodities that are produced by various industries. Final demand tables detail the commodities bought by many categories of buyers (consumers, industries, non-profit institutions and government) for both consumption and investment purposes. These tables allow users to track intersectoral exchanges of goods and services between industries and final demand categories such as personal expenditures, capital expenditures and public sector expenditures.&lt;/p&gt;

&lt;p&gt;The provincial input-output tables are constructed every year starting with the 1997 tables. The tables are available at the “Summary” level with 35 industries, 74 commodities and 25 final demand categories.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;The dataset includes Level S tables on Final Demand by province, with federal data presented as a subcategory.&lt;/b&gt;&lt;/p&gt;
description: With the 2015 comprehensive revision, the Canadian System of Macroeconomic Accounts (CSMA) has introduced a major presentational change to the national and the provincial and territorial input-output tables. The previous CSMA input-output presentation differed from the international standard and the practice found in most national statistical organizations. The CSMA has aligned its presentation with the international standard and replaces the presentation found in catalogues 15F0041X and 15F0042X. The new presentation can be found in the product: Supply and Use Tables (15-602-X).
description: Input-Output Tables
DOI: 10.15468/dl.ywkpxw
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Checklist of free-living nematode species in the transitional environment of Lake Varano (Southern Italy)"
 ]
}

 The dataset includes 284 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054079-251120083545085/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/14169242
title: Photosynthesis_Rates
DOI: 10.5281/zenodo.17831147
title: Dataset for 'Nanocellulose aerogels as 3D amyloid templates'

description: Proteins in solution tend to coat solid surfaces upon exposure. Depending on the nature of the surface, the environmental conditions, and the nature of the protein these adsorbed proteins may self-assemble into ordered, fibre-like structures called amyloids. Nanoparticulate surfaces, with their high surface to volume ratio, are particularly favourable to amyloid formation. Most prior research has focussed on either inorganic or organic nanoparticles in solution. In this research, we instead focus on aerogels created from TEMPO-oxidized cellulose nanofibers (TO-CNF) to serve as bio-based, three-dimensional amyloid templates with a tuneable surface chemistry. Previous research on the use of cellulose as a protein adsorption template has shown no evidence of a change in the secondary protein structure. Herein, however, with the aid of the reducing agent TCEP, we were able to induce the formation of amyloid-like ‘worms’ on the surface of TO-CNF aerogels. Furthermore, we demonstrate that the addition of the TO-CNF aerogel can also induce bulk aggregation under conditions where it previously did not exist. Finally, we show that the addition of the aerogel increases the rate of ‘worm’ formation in conditions where previous research has found a long lag-phase. Therefore, TO-CNF aerogels are shown to be excellent templates for inducing ordered protein aggregation.
description: Images in the paper are not repeated here
DOI: 10.5281/zenodo.17831146
title: Dataset for 'Nanocellulose aerogels as 3D amyloid templates'

description: Proteins in solution tend to coat solid surfaces upon exposure. Depending on the nature of the surface, the environmental conditions, and the nature of the protein these adsorbed proteins may self-assemble into ordered, fibre-like structures called amyloids. Nanoparticulate surfaces, with their high surface to volume ratio, are particularly favourable to amyloid formation. Most prior research has focussed on either inorganic or organic nanoparticles in solution. In this research, we instead focus on aerogels created from TEMPO-oxidized cellulose nanofibers (TO-CNF) to serve as bio-based, three-dimensional amyloid templates with a tuneable surface chemistry. Previous research on the use of cellulose as a protein adsorption template has shown no evidence of a change in the secondary protein structure. Herein, however, with the aid of the reducing agent TCEP, we were able to induce the formation of amyloid-like ‘worms’ on the surface of TO-CNF aerogels. Furthermore, we demonstrate that the addition of the TO-CNF aerogel can also induce bulk aggregation under conditions where it previously did not exist. Finally, we show that the addition of the aerogel increases the rate of ‘worm’ formation in conditions where previous research has found a long lag-phase. Therefore, TO-CNF aerogels are shown to be excellent templates for inducing ordered protein aggregation.
description: Images in the paper are not repeated here
DOI: 10.34740/kaggle/dsv/14169257
title: Dataset jadwal event lariku.info
DOI: 10.15468/dl.uz7c9k
title: Occurrence Download

description: A dataset containing 1110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.07284 37.47322,-0.50499 37.47322,-0.50499 38.10036,-2.07284 38.10036,-2.07284 37.47322))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bubo bubo"
 ]
}

 The dataset includes 1110 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054080-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17945235
title: Bipolar Mixed States Synthetic Dataset v1.0

description: Research-Grade Synthetic Dataset for Bipolar Disorder with Mixed Features

High-fidelity synthetic longitudinal dataset modeling bipolar disorder with mixed features (ICD-10: F31.6x). 800 patients, 5,550 observations over 12 months.

Key Features:



35 clinical variables including YMRS, HAM-D, GAF scores

Mixed-state specific markers: identity crisis, sleep aversion, stimulant misuse

Polypharmacy tracking and treatment response patterns

Privacy-preserving: k-anonymity k=12, differential privacy ε<0.8, MIA AUC=0.52


Generated by MentalData.io using CTGAN with differential privacy. No real patient data.

License: CC BY-NC 4.0
DOI: 10.5281/zenodo.17945236
title: Bipolar Mixed States Synthetic Dataset v1.0

description: Research-Grade Synthetic Dataset for Bipolar Disorder with Mixed Features

High-fidelity synthetic longitudinal dataset modeling bipolar disorder with mixed features (ICD-10: F31.6x). 800 patients, 5,550 observations over 12 months.

Key Features:



35 clinical variables including YMRS, HAM-D, GAF scores

Mixed-state specific markers: identity crisis, sleep aversion, stimulant misuse

Polypharmacy tracking and treatment response patterns

Privacy-preserving: k-anonymity k=12, differential privacy ε<0.8, MIA AUC=0.52


Generated by MentalData.io using CTGAN with differential privacy. No real patient data.

License: CC BY-NC 4.0
DOI: 10.34740/kaggle/dsv/14169259
title: Berita UII
DOI: 10.5281/zenodo.17945243
title: Dissociative Identity Disorder Synthetic Dataset v1.0

description: Research-Grade Synthetic Dataset for Dissociative Identity Disorder (DID)

Comprehensive synthetic dataset modeling DID (ICD-10: F44.81) with alter system dynamics, switching patterns, and clinical measures. Designed for trauma-informed research.

Key Features:



Multi-table structure: participants, alters, daily logs, clinical measures, EMA responses

Alter system characteristics and inter-alter relationships

DES-II (Dissociative Experiences Scale) tracking

Trauma history and treatment response patterns

Privacy-preserving: designed with k-anonymity and differential privacy


Generated by MentalData.io for ethical DID research. No real patient data.

License: CC BY-NC 4.0
DOI: 10.5281/zenodo.17945251
title: Anti-NMDAR Encephalitis Synthetic Dataset v1.0

description: Research-Grade Synthetic Dataset for Anti-NMDA Receptor Encephalitis

Synthetic dataset modeling anti-NMDAR encephalitis, a rare autoimmune disorder often misdiagnosed as primary psychiatric illness. Includes confirmed, probable, and misdiagnosed case trajectories.

Key Features:



Multi-stage case classification: confirmed, probable, misdiagnosed

Biomarker evolution (CSF antibody titers, MRI findings)

Symptom trajectories from prodrome to recovery

Treatment response patterns (immunotherapy, tumor resection)

Diagnostic delay modeling for ML-based early detection research


Generated by MentalData.io for rare neuropsychiatric disorder research. No real patient data.

License: CC BY-NC 4.0
DOI: 10.5281/zenodo.17945253
title: Ethically Sensitive Research Phenomena Synthetic Dataset v1.0

description: Research-Grade Synthetic Dataset for Ethically Sensitive Mental Health Phenomena

Synthetic dataset enabling research on rare, ethically complex phenomena that are difficult to study with real patient data due to consent, stigma, and safety concerns.

Key Features:



Factitious disorder / Munchausen presentations

Medical child abuse patterns (for forensic training)

True altruistic vs attention-seeking behavior differentiation

Ambiguous case presentations for diagnostic training

Designed for forensic psychiatry, child protection, and clinical education


Generated by MentalData.io for sensitive research domains. No real patient data.

License: CC BY-NC 4.0