cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.b22py2
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Marsdenia exellii"
 ]
}

 The dataset includes 21 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044726-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sw6x2x
title: Occurrence Download

description: A dataset containing 3905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10 -40,25 -40,25 5,-10 5,-10 -40))",
 "OccurrenceStatus is Present",
 "WaterBody is Ocean"
 ]
}

 The dataset includes 3905 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044728-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.crp3pq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "OccurrenceStatus is Present",
 "TaxonKey is Melittidae"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044729-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpdyxt
title: Occurrence Download

description: A dataset listing the 3778 species recorded in GBIF matching the query:
{
 "PublishingOrg" : [
 "is one of (e5150835-f502-424c-b470-24dd496b1b18, cadfe257-a0d1-4106-9f9f-77ab1dcf1349)"
 ]
}

 The dataset's 3778 records were derived from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044716-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2x6ebk
title: Occurrence Download

description: A dataset containing 2727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fabriciana adippe",
 "HasCoordinate is true",
 "Geometry POLYGON ((6.224439 46.56151, 6.224439 48.43216, 8.984551 48.43216, 8.984551 46.56151, 6.224439 46.56151))",
 "Year is greater than or equal to 2020",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2727 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044730-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.35q5ws
title: Occurrence Download

description: A dataset containing 569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nigeria",
 "TaxonKey is Gypohierax angolensis"
 ]
}

 The dataset includes 569 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044732-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.db9ccv
title: Occurrence Download

description: A dataset containing 614 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-111.4188 27.44913, -111.2688 27.44913, -111.2688 27.59913, -111.4188 27.59913, -111.4188 27.44913))"
 ]
}

 The dataset includes 614 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044733-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17609624
title: A Universal Coherence Law: Frequency–Information Scaling Across Biological, Quantum, Gravitational, Condensed-Matter, and Helioseismic Systems

description: This repository contains the archival pre-release associated with the manuscript

“A Universal Coherence Law: Frequency–Information Scaling Across Biological, Quantum, Gravitational, Helioseismic, and Condensed-Matter Systems.”

The work presents the discovery of a universal frequency–information scaling exponent β, empirically observed across five independent physical regimes:





Human neuro-coherence (EEG)




Quantum black-hole echoes (LIGO)




IBM Q superconducting qubits




Phonon spectra in materials




Solar helioseismic oscillations (BiSON)



 

Across all systems, we report a consistent negative scaling (β ≈ −0.06), demonstrating an invariant relationship between entropy-like information measures and spectral band coherence. This result supports the cross-domain predictions of the Vedic Unified-Field Framework (VUF) and provides one of the first experimental signatures of an information–coherence field linking phenomena from quantum scales to astrophysics.

This Zenodo deposition includes the following static artefacts:

 

Included





The PDF manuscript




Supplementary Information (SI)




A summary-level scaling_law_crossdomain.csv




A schematic directory structure for the analysis pipeline (stubs only)




README and licensing information




DOI metadata for archival permanence



 

Not Included

In accordance with CC BY–ND 4.0, this upload does not include the full analysis code or any modifiable source files.

The complete methodological pipeline will be released after peer review, ensuring priority protection and preventing derivative repostings during the review period.
DOI: 10.5281/zenodo.17609625
title: A Universal Coherence Law: Frequency–Information Scaling Across Biological, Quantum, Gravitational, Condensed-Matter, and Helioseismic Systems

description: This repository contains the archival pre-release associated with the manuscript

“A Universal Coherence Law: Frequency–Information Scaling Across Biological, Quantum, Gravitational, Helioseismic, and Condensed-Matter Systems.”

The work presents the discovery of a universal frequency–information scaling exponent β, empirically observed across five independent physical regimes:





Human neuro-coherence (EEG)




Quantum black-hole echoes (LIGO)




IBM Q superconducting qubits




Phonon spectra in materials




Solar helioseismic oscillations (BiSON)



 

Across all systems, we report a consistent negative scaling (β ≈ −0.06), demonstrating an invariant relationship between entropy-like information measures and spectral band coherence. This result supports the cross-domain predictions of the Vedic Unified-Field Framework (VUF) and provides one of the first experimental signatures of an information–coherence field linking phenomena from quantum scales to astrophysics.

This Zenodo deposition includes the following static artefacts:

 

Included





The PDF manuscript




Supplementary Information (SI)




A summary-level scaling_law_crossdomain.csv




A schematic directory structure for the analysis pipeline (stubs only)




README and licensing information




DOI metadata for archival permanence



 

Not Included

In accordance with CC BY–ND 4.0, this upload does not include the full analysis code or any modifiable source files.

The complete methodological pipeline will be released after peer review, ensuring priority protection and preventing derivative repostings during the review period.
DOI: 10.15468/dl.qzu2qb
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-111.2688 27.44913, -111.1188 27.44913, -111.1188 27.59913, -111.2688 27.59913, -111.2688 27.44913))"
 ]
}

 The dataset includes 49 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044737-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x9bxmpbk8h
title: Mapped tree dataset of green areas in the Municipality of Arezzo, Tuscany (Italy)

description: The dataset reports data from more than 9,000 trees, which were sampled in 2024-2025 to create a first urban tree inventory in the Municipality of Arezzo. For each tree, we recorded the position, species, diameter and typology of green space. Data were available as table or spatial vector layer. The output can support urban planners and managers for assessing the state of the art of urban greening, supporting tree management practices and monitoring, feeding urban tree models and calibrating remotely-sensed information. Non-spatial and spatial metrics can be derived to assess the diversity of urban tree spaces to support sustainable urban greening practices.
DOI: 10.17632/x9bxmpbk8h.4
title: Mapped tree dataset of green areas in the Municipality of Arezzo, Tuscany (Italy)

description: The dataset reports data from more than 9,000 trees, which were sampled in 2024-2025 to create a first urban tree inventory in the Municipality of Arezzo. For each tree, we recorded the position, species, diameter and typology of green space. Data were available as table or spatial vector layer. The output can support urban planners and managers for assessing the state of the art of urban greening, supporting tree management practices and monitoring, feeding urban tree models and calibrating remotely-sensed information. Non-spatial and spatial metrics can be derived to assess the diversity of urban tree spaces to support sustainable urban greening practices.
DOI: 10.17632/8dvjpgwtcd.4
title: Zeid Zwain Clinic Prediabetes Registry

description: This is registry of my clinic data set for prediabetes in Najaf/Iraq
DOI: 10.17632/6g68ppvbd5
title: miRNA

description: RAW DATA OF EXPERIMENTAL WORK ON miRNA
DOI: 10.17632/6g68ppvbd5.1
title: miRNA

description: RAW DATA OF EXPERIMENTAL WORK ON miRNA
DOI: 10.17632/t38ypcwm3d
title: Role of macromolecules on the physical properties of root and seed mucilage

description: Supporting information and data for the article from Knott and Diehl "Role of macromolecules on the physical properties of root and seed mucilage".
DOI: 10.17632/t38ypcwm3d.1
title: Role of macromolecules on the physical properties of root and seed mucilage

description: Supporting information and data for the article from Knott and Diehl "Role of macromolecules on the physical properties of root and seed mucilage".
DOI: 10.17632/skd9w9g5jm
title: An Image Dataset of Seven Major Pulses Grown in Bangladesh for Smart Agriculture Applications

description: This dataset is a novel, comprehensive image collection featuring seven major pulse crop species cultivated in Bangladesh: Lentil (Masur), Mung bean (Mug), Grass pea (Khesari), Chickpea (Chola), Black gram (Māshkalāi), Field pea (Motor), and Kidney bean (Rājmā).

The primary purpose of this dataset is to facilitate research in Machine Learning (ML) and Deep Learning (DL) for agricultural technology, specifically for applications in smart agriculture, such as automated species identification, yield forecasting, and plant health monitoring.

The collection comprises approximately 17,500 images across 11 distinct classes covering various species, varieties, and their associated disease/health states, all captured under natural field conditions in Bangladesh. This focus on locally grown varieties makes the dataset highly relevant for addressing regional agricultural challenges, unlike many global datasets that may not feature these specific landraces. The data is pre-processed and ready for direct use in image classification and object detection tasks.
DOI: 10.17632/skd9w9g5jm.1
title: An Image Dataset of Seven Major Pulses Grown in Bangladesh for Smart Agriculture Applications

description: This dataset is a novel, comprehensive image collection featuring seven major pulse crop species cultivated in Bangladesh: Lentil (Masur), Mung bean (Mug), Grass pea (Khesari), Chickpea (Chola), Black gram (Māshkalāi), Field pea (Motor), and Kidney bean (Rājmā).

The primary purpose of this dataset is to facilitate research in Machine Learning (ML) and Deep Learning (DL) for agricultural technology, specifically for applications in smart agriculture, such as automated species identification, yield forecasting, and plant health monitoring.

The collection comprises approximately 17,500 images across 11 distinct classes covering various species, varieties, and their associated disease/health states, all captured under natural field conditions in Bangladesh. This focus on locally grown varieties makes the dataset highly relevant for addressing regional agricultural challenges, unlike many global datasets that may not feature these specific landraces. The data is pre-processed and ready for direct use in image classification and object detection tasks.
DOI: 10.15468/dl.nvdcz5
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glaucopsyche alexis",
 "HasCoordinate is true",
 "Geometry POLYGON ((6.224439 46.56151, 6.224439 48.43216, 8.984551 48.43216, 8.984551 46.56151, 6.224439 46.56151))",
 "Year is greater than or equal to 2020",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 122 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044740-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5vrdhj5h7f
title: Dataset on the phospholipid adsorption onto clinochlore

description: The data reported in this repository is related to a Density Functional Theory (DFT) investigation of the adsorption of phospholipids onto the (001) surface of clinochlore, a mineral belonging to the phyllosilicate family. Clinochlore is a chlorite, i.e., a layered silicate formed by an alternate stacking of talc-like layers [labelled as TOT, ideal chemical formula Mg3Si4O10(OH)2] and brucite-like ones [B, Mg(OH)2].

In this study, we characterised the adsorption behaviour of the simplest phospholipid, i.e., 1, 2-divaleroyl-sn-glycero-3-phosphatidic acid (DVPA), onto the two types of clinochlore layers to understand the relationship between the biomolecule and the clay mineral, and the possible mineral-mediated formation of cell membranes. Several DVPA/substrate interaction models were considered, encompassing low and high surface coverages, molecular orientations and presence of natural atomic substitutions in the clinochlore sub-units (e.g., Al3+/Mg2+ and Al3+/Si4+ substitutions in the B and TOT layers, respectively). The results provided further information on the phospholipid-mineral interactions, which could be useful in devising innovative applications in biotechnology and environmental fields.

The present dataset is organised in folders as follows:
- Initial models: this folder contains the starting DVPA molecule and the B and TOT (001) surface models, which were geometrically optimised (i.e., relaxed) at the DFT/B3LYP-D3 level of theory. 
- Adsorption: this folder contains a series of sub-folders labelled as XPYY, where X = B, T indicates the type of substrate (brucite-like and talc-like layers, respectively), and YY represents a sequential number. For instance, BP01 is the first model related to the adsorption of DVPA onto the brucite-like layer. A README file was provided to briefly describe each model. Each sub-folder reports:
 (1) the CRYSTAL code (see the "Steps to reproduce" section) relaxation output of the adsorption model, named as "xpyy_b3lyp-d3_relaxed.out";
 (2) a structural file obtained from the cited output (labelled as "xpyy.cif", Crystallographic-Interchange Format);
 (3) a "BSSE" folder containing the outputs produced by CRYSTAL, which were used to calculate the Basis Set Superposition Error. These outputs are related to the calculation of the energy of the DVPA/substrate, considering (a) ghost functions on the molecule ("xpyy_bsse_ghosts_p.out") or on the mineral layer ("xpyy_bsse_ghosts_b.out" or "xpyy_bsse_ghosts_t.out"), (b) the infinite two-dimensional repetitions (monolayers) of the biomolecule ("xpyy_bsse_monolayer_p.out") or substrate ("xpyy_bsse_monolayer_b.out" or "xpyy_bsse_monolayer_t.out"), and (c) the isolated DVPA with the adsorption conformation ("xpyy_bsse_molecule.out").

The CRYSTAL output files can be visually inspected using the Moldraw software (10.1107/S0021889887008665), whereas the CIF files can be opened with any crystallographic software, e.g., VESTA (10.1107/S0021889811038970).
DOI: 10.17632/5vrdhj5h7f.1
title: Dataset on the phospholipid adsorption onto clinochlore

description: The data reported in this repository is related to a Density Functional Theory (DFT) investigation of the adsorption of phospholipids onto the (001) surface of clinochlore, a mineral belonging to the phyllosilicate family. Clinochlore is a chlorite, i.e., a layered silicate formed by an alternate stacking of talc-like layers [labelled as TOT, ideal chemical formula Mg3Si4O10(OH)2] and brucite-like ones [B, Mg(OH)2].

In this study, we characterised the adsorption behaviour of the simplest phospholipid, i.e., 1, 2-divaleroyl-sn-glycero-3-phosphatidic acid (DVPA), onto the two types of clinochlore layers to understand the relationship between the biomolecule and the clay mineral, and the possible mineral-mediated formation of cell membranes. Several DVPA/substrate interaction models were considered, encompassing low and high surface coverages, molecular orientations and presence of natural atomic substitutions in the clinochlore sub-units (e.g., Al3+/Mg2+ and Al3+/Si4+ substitutions in the B and TOT layers, respectively). The results provided further information on the phospholipid-mineral interactions, which could be useful in devising innovative applications in biotechnology and environmental fields.

The present dataset is organised in folders as follows:
- Initial models: this folder contains the starting DVPA molecule and the B and TOT (001) surface models, which were geometrically optimised (i.e., relaxed) at the DFT/B3LYP-D3 level of theory. 
- Adsorption: this folder contains a series of sub-folders labelled as XPYY, where X = B, T indicates the type of substrate (brucite-like and talc-like layers, respectively), and YY represents a sequential number. For instance, BP01 is the first model related to the adsorption of DVPA onto the brucite-like layer. A README file was provided to briefly describe each model. Each sub-folder reports:
 (1) the CRYSTAL code (see the "Steps to reproduce" section) relaxation output of the adsorption model, named as "xpyy_b3lyp-d3_relaxed.out";
 (2) a structural file obtained from the cited output (labelled as "xpyy.cif", Crystallographic-Interchange Format);
 (3) a "BSSE" folder containing the outputs produced by CRYSTAL, which were used to calculate the Basis Set Superposition Error. These outputs are related to the calculation of the energy of the DVPA/substrate, considering (a) ghost functions on the molecule ("xpyy_bsse_ghosts_p.out") or on the mineral layer ("xpyy_bsse_ghosts_b.out" or "xpyy_bsse_ghosts_t.out"), (b) the infinite two-dimensional repetitions (monolayers) of the biomolecule ("xpyy_bsse_monolayer_p.out") or substrate ("xpyy_bsse_monolayer_b.out" or "xpyy_bsse_monolayer_t.out"), and (c) the isolated DVPA with the adsorption conformation ("xpyy_bsse_molecule.out").

The CRYSTAL output files can be visually inspected using the Moldraw software (10.1107/S0021889887008665), whereas the CIF files can be opened with any crystallographic software, e.g., VESTA (10.1107/S0021889811038970).
DOI: 10.5281/zenodo.17443263
title: Vedic Unified-Field Hypothesis (VUH 6.0): Cross-Domain Entropy–Coherence Scaling

description: This release presents Phase-6 of the Vedic Unified-Field Hypothesis (VUH), demonstrating a universal entropy–coherence scaling law spanning quantum, gravitational, and biological systems.

 

A single slope b_U = -0.284 \pm 0.043 \quad (95\%\,CI\; -0.368\ldots -0.199) was observed across three open datasets:





Quantum decoherence times (synthetic and Qiskit-inspired tests)




Gravitational echo amplitudes (LIGO/Virgo open data)




Biological EEG coherence (open neuro datasets)



 

The finding supports the predicted coherence–entropy coupling, C \propto \exp(-b_U\,S), linking information loss and order formation across scales.

 

This repository contains:





Processed datasets and figures




The unified one-pager summary (VUH_Phase6_OnePager.pdf)



 

It extends and integrates prior phases (VUH 2.5–5), providing the empirical foundation for Phase-7 predictive tests.
DOI: 10.5281/zenodo.17443262
title: Vedic Unified-Field Hypothesis (VUH 6.0): Cross-Domain Entropy–Coherence Scaling

description: This release presents Phase-6 of the Vedic Unified-Field Hypothesis (VUH), demonstrating a universal entropy–coherence scaling law spanning quantum, gravitational, and biological systems.

 

A single slope b_U = -0.284 \pm 0.043 \quad (95\%\,CI\; -0.368\ldots -0.199) was observed across three open datasets:





Quantum decoherence times (synthetic and Qiskit-inspired tests)




Gravitational echo amplitudes (LIGO/Virgo open data)




Biological EEG coherence (open neuro datasets)



 

The finding supports the predicted coherence–entropy coupling, C \propto \exp(-b_U\,S), linking information loss and order formation across scales.

 

This repository contains:





Processed datasets and figures




The unified one-pager summary (VUH_Phase6_OnePager.pdf)



 

It extends and integrates prior phases (VUH 2.5–5), providing the empirical foundation for Phase-7 predictive tests.
DOI: 10.17632/gg85z68f83.1
title: Palestine Fake news Dataset : PFND

description: The Palestine Fake News Dataset (PFND) is a manually collected Arabic-language dataset designed for fake news detection and credibility classification. The dataset contains over 3,000 news items, focusing primarily on current events related to Palestine. All news articles were gathered from publicly available Arabic news platforms. 
The dataset is structured in a main directory named “PFND”, which includes two sub-files:
credible.csv – containing news items verified as credible
incredible.csv – containing news items identified as incredible or satirical
Each CSV file includes two columns:
body_text – the full Arabic text of the news article
label – a binary value indicating the credibility of the article
1 → credible
0 → incredible (not credible)
Source of Credible News
Credible news items were collected from well-established and recognized Arabic news agencies:
Al Jazeera Arabic
CNN Arabic
BBC News Arabic
Al ARABIA
These outlets are known for professional editorial standards and fact-checked reporting.
Source of Incredible News
Incredible or non-credible content was sourced from:
Al Hudood, a popular Arabic satirical news website that intentionally produces fictional or humorous content.
DOI: 10.15468/dl.ua79pq
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-111.1188 27.44913, -110.9688 27.44913, -110.9688 27.59913, -111.1188 27.59913, -111.1188 27.44913))"
 ]
}

 The dataset includes 267 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044741-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17647712
title: Raw data files and their analysis for Azo-functionalized self-assembled Pd(II) double-walled triangular cage

description: Raw data files and their analysis for Azo-functionalized self-assembled Pd(II) double-walled triangular cage
DOI: 10.5281/zenodo.17647713
title: Raw data files and their analysis for Azo-functionalized self-assembled Pd(II) double-walled triangular cage

description: Raw data files and their analysis for Azo-functionalized self-assembled Pd(II) double-walled triangular cage