cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16277785
title: Complete Discovery Package: Magnetic Monopoles in Nucleons, Universal 316 Quantization, and the Geometric Origin of Fine Structure Constant (α = 1/137)

description: TRIPLE BREAKTHROUGH: Three fundamental physics discoveries that solve century-old mysteries!

This comprehensive package contains the complete discovery, analysis, and validation of three interconnected breakthroughs that fundamentally change our understanding of physics:

1. MAGNETIC MONOPOLES IN NUCLEONS (Solving 90-year mystery)- Proton = North magnetic monopole (g = +68.5)- Neutron = South magnetic monopole (g = -68.5)- Magic angle: 54.74° marks the dipole→monopole transition- Dirac quantization yields n = 137 = 1/α, explaining the fine structure constant!

2. UNIVERSAL 316^(m/n) QUANTIZATION (Nature's hidden pattern)- Gravitational Waves: 4/4 neutron star mergers show pattern (errors < 0.52%)- Pulsar Glitches: 15,473 matches across 707 glitches from 239 pulsars- Cosmic Rays: 79,567 Auger events analyzed, 1,843 patterns found (p < 10^-100)- Control Test: Black hole mergers show NO pattern, confirming neutron star specificity

3. X-ORBITAL UNIFIED THEORY (Complete particle physics from 2 quarks)- Only 2 fundamental particles exist: up and down quarks- 8 gluons emerge from geometric blocking at v = 0.86c- Dark energy (68%) IS the orbital kinetic energy- All particles created from X-orbital collisions at 10^23 Hz

Key Discovery: The fine structure constant α = 1/137 emerges from the magic angle geometry where nucleons manifest as magnetic monopoles: α = tan²(54.74°)/2

Dataset Contents:- 79,567 cosmic ray events from Pierre Auger Observatory- Complete analysis of 4 gravitational wave events- 15,473 pulsar glitch pattern matches- All analysis code (Python) for reproduction- 100+ publication-ready figures- Complete theoretical framework and proofs

- Pulsar Glitches: 15,473 matches across 707 glitches from 239 pulsars (data from Jodrell Bank Pulsar Glitch Catalogue)

Data Sources:- Cosmic ray data: Pierre Auger Observatory Open Data (https://doi.org/10.5281/zenodo.4487612)- Pulsar glitch data: Jodrell Bank Pulsar Glitch Catalogue (http://www.jb.man.ac.uk/pulsar/glitches.html)- Gravitational wave data: LIGO/Virgo via GWOSC (https://www.gw-openscience.org/)

All data used under respective open data policies and properly attributed.

Impact: These discoveries unify electromagnetic and strong forces, explain dark energy, solve the fine structure constant mystery, and reveal the true nature of nuclear matter as magnetic monopoles.
DOI: 10.17632/7zxvf8wp7j.1
title: Supporting material - Wu and Xie. (2025, JGR-Planets)

description: This dataset supports the article by Wu and Xie. (2025, JGR-Planets) and is necessary to represent the results presented in the figures of the articles.
DOI: 10.17632/n3nbhjjkjr.3
title: AgReview - Hybrid Dataset for NLP-based Price and Sentiment Evaluation in Agri Inputs

description: The primary objective of this collection is to support AI-driven methods for cotton crop disease control and product recommendations. The two key components of dataset are comprehensive product listings and user-generated ratings, and it was selected from BigHaat, one of India's leading digital agri-platforms. The product data includes the product name, company, pricing (MRP, selling price, discounts), and packaging size (in milliliters, grams, LTR, etc.). Each item is categorized as Low, Medium, or High using quantile binning and standard deviation-based methods to allow for price intelligence while accounting for size-normalized pricing. This helps identify trends in market affordability and enables fair comparisons of different product volumes.
The reviews part, which documents real farmer comments, includes review texts and contextual agronomic information, such as dosage, usage instructions, and target diseases or insects. According to Shaver's Emotion Model, NLP techniques were used to classify emotions (satisfied, neutral, sad, and disgust) and sentiments (positive, neutral, and negative) . Examining these results by hand improved accuracy. 
This dataset is designed to support intelligent systems that assist farmers and agri-tech platforms in making informed, cost-effective, and emotionally conscious decisions. It will also significantly advance research on AI-powered product recommendations, price optimization, and user experience in agriculture.
DOI: 10.17632/rz2jhpvhp3.1
title: EEG MI-BCI Multidirectional Mouse Cursor Dataset (Open-BCI Ultra cortex mark-IV)

description: This dataset comprises EEG recordings collected for a multidirectional motor imagery-based brain-computer interface (MI-BCI) aimed at controlling a mouse cursor. The data were acquired using the Open-BCI Ultra cortex mark-IV 8 channel wireless EEG headset, which captured brain signals associated with voluntary motor imagery activities. Participants performed trials involving six distinct tasks: (1) imagining right-hand movement, (2) imagining right-leg movement, (3) imagining left-hand movement, (4) imagining left-leg movement, (5) eye blinking, and (6) resting (break) periods. All recordings were conducted at the Biomedical Instrumentation and Signal Processing Laboratory (BISPL), Independent University, Bangladesh.
DOI: 10.15468/dl.cr9r5b
title: Occurrence Download

description: A dataset containing 3147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum mauritianum",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3147 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022804-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkk23b
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022807-250717081556266/datasets/export for details.
DOI: 10.15468/dl.aq8a8f
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orconectes limosus",
 "Country is Hungary",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022803-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdxzfn
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum mauritianum",
 "Country is Solomon Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022806-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qyevn3
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum mauritianum",
 "Country is Rwanda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022805-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6zfsc9xsz8.6
title: BremsLib v2.0.5

description: BremsLib v2.0 is a library of double- and single differential cross sections (DDCS and SDCS) of electron-atom bremsstrahlung. It is a major update of BremsLib v1.0.5, which was published in 2019. BremsLib v2.0 contains the data for 86300 combinations of three physical parameters: atomic number Z, incident electron energy T1, and bremsstrahlung photon energy k. All values of Z from 1 to 100 are represented. The range of variation of T1 is from 10 eV to 30 MeV for non-zero k, or from 10 eV to 100 MeV for k = 0. The range of variation of k / T1 is from 0 to 0.9999. The library data were calculated by the relativistic partial-wave method, except at Z = 1 or Z = 2, T1 - k &gt;= 0.5 MeV, and k &gt; 0 (simultaneously), when the screened Born approximation was used. The target atom is described by Kohn-Sham interaction potential. Radial dependence of proton density inside the nucleus is modeled by the Fermi distribution. The cross sections calculated using the point-nucleus approximation are also included.
 In comparison with BremsLib v1.0.5, the high-energy endpoint of the incident electron energy range has been increased from 3 MeV to 30 MeV, an additional grid value of k (equal to 0.975*T1) has been inserted at all values of T1, and all the previously-published data have been recalculated, with the point-nucleus approximation replaced by the Fermi distribution of proton density at sufficiently high energies of the incident electron. Although the changes in the values of the previously-published cross sections are insignificant (except at high Z and energies greater than 1 MeV, when the realistic radial distribution of nuclear charge density makes a difference), their uncertainties have been made more reliable. In the soft-photon limit, those uncertainties have been in some cases reduced by several orders of magnitude because of a more efficient calculation method based on the Low theorem, which has been applied in the case of zero k at all values of T1 up to 100 MeV.
 The distribution package of BremsLib v2.0 is in the .ZIP file "BremsLib_v2.0.zip" containing three folders:
(a) main data folder "BremsLib_v2.0" with the values of DDCS and SDCS corresponding to 86300 combinations of the physical parameters Z, T1 and k,
(b) folder "Interpolate_DCS" with the code and documentation of the program Interpolate_DCS (v1.0.5) for data retrieval and interpolation,
(c) folder "Brems" with the code and documentation of the program BREMS (v1.5.8.9), which was used for generation of the library data at non-zero k.

 The mentioned data and codes are used as supplementary material to the following article: 
A. Poškus, At. Data Nucl. Data Tables, 101734, 2025, https://doi.org/10.1016/j.adt.2025.101734

 In comparison with BremsLib v2.0.4, there are minor improvements of the codes BREMS and Interpolate_DCS. For example, the linear interpolation with respect to theta has been replaced by linear interpolation with respect to cos(theta). The library data have not been modified.
DOI: 10.17632/8psfycfnf3
title: Regional Education Integration in China Dataset

description: This study, analyzing 2012-2017 panel data, explores the impact of the 2014 Yangtze-river-delta Regional Education Integration Policy (YREIP) on education inequality in Chinese universities. While the YREIP improved educational quality in the Yangtze-river-delta (YRD), it widened the gap between YRD and non-YRD regions. Post-implementation, undergraduate education quality increased, but graduate education quality declined in both regions, leading to a growing disparity. The emphasis on elevating undergraduate education in elite YRD universities exacerbated education inequality within and between regions. Propensity Score Matching (PSM) validated these findings, offering insights for policymakers and researchers in developing nations.
DOI: 10.17632/8psfycfnf3.1
title: Regional Education Integration in China Dataset

description: This study, analyzing 2012-2017 panel data, explores the impact of the 2014 Yangtze-river-delta Regional Education Integration Policy (YREIP) on education inequality in Chinese universities. While the YREIP improved educational quality in the Yangtze-river-delta (YRD), it widened the gap between YRD and non-YRD regions. Post-implementation, undergraduate education quality increased, but graduate education quality declined in both regions, leading to a growing disparity. The emphasis on elevating undergraduate education in elite YRD universities exacerbated education inequality within and between regions. Propensity Score Matching (PSM) validated these findings, offering insights for policymakers and researchers in developing nations.
DOI: 10.15468/dl.jbv3bn
title: Occurrence Download

description: A dataset containing 51511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Veronica agrestis"
 ]
}

 The dataset includes 51511 records from 798 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022694-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kv78gfs9ny.1
title: ICO COVID-19: Public Loan Guarantees in Spain (2020–2021)

description: This dataset combines all Spanish micro, small and medium firms that received ICO (Instituto de Crédito Oficial) guaranteed loans in 2020–2021 with a matched sample of non-treated peers drawn from the same NUTS-3 region and NACE Rev. 2 four-digit industry. Each firm-year record includes, treatment amount and first-treatment year, plus operational and financial metrics—employees , turnover, total assets, and interest-coverage ratio (ICR)— from 2017 to 2022. Structured as an unbalanced panel, it lets you compare how employment and turnover evolve for ICO COVID-19 supported firms versus matched controls.
DOI: 10.17632/8pnxdfv7w7.1
title: TBI-6000 : A Labeled Brain CT Dataset for 6 different types of Haemorrhage Classification

description: TBI-6000 is a curated dataset comprising 6,000 preprocessed and windowed brain CT images, developed to support machine learning research in the automated classification of traumatic brain injury (TBI) and intracranial haemorrhage. The dataset is meticulously organized into six balanced subdirectories, each representing a distinct diagnostic category:

Epidural Haemorrhage

Subdural Haemorrhage

Subarachnoid Haemorrhage

Intraventricular Haemorrhage

Intraparenchymal Haemorrhage

No Haemorrhage (Control Class)

Each class contains exactly 1,000 labeled CT slices, resulting in a balanced distribution that enhances the reliability and fairness of model training and evaluation.

To ensure data integrity and facilitate seamless integration into AI pipelines, all images have been renamed through a Python-based automation script. This script encodes each image’s diagnostic class as a standardized filename prefix (e.g., epidural_, no_hemorrhage_) followed by a unique numeric identifier. This uniform naming convention promotes reproducibility and simplifies data parsing for downstream tasks.

TBI-6000 serves as a high-quality resource for the development and benchmarking of deep learning models targeting intracranial haemorrhage detection and classification in the context of traumatic brain injuries.
DOI: 10.17632/ymnvvddm85
title: Dataset from a Laboratory research（Elevated Carbon Dioxide Enhances Polyunsaturated Fatty Acids in Isochrysis galbana and Improves Rotifer Growth through Algal Feeding）

description: This is a dataset from a laboratory research, which mainly includes the physiological and biochemical data of microalgae, gene expression, growth data of rotifers, fatty acid content.
DOI: 10.17632/ymnvvddm85.1
title: Dataset from a Laboratory research（Elevated Carbon Dioxide Enhances Polyunsaturated Fatty Acids in Isochrysis galbana and Improves Rotifer Growth through Algal Feeding）

description: This is a dataset from a laboratory research, which mainly includes the physiological and biochemical data of microalgae, gene expression, growth data of rotifers, fatty acid content.
DOI: 10.5281/zenodo.12674222
title: Data from: Climate warming disrupts zooplankton phenology and overwintering strategies

description: Data files and R code for the manuscript: Climate warming disrupts zooplankton phenology and overwintering strategies. Published in Limnology and Oceanography.



Content Overview




Rcode:


analyses_20250605.R -  R script used to create Figures 2-4 and Figures S1-S3, and all statistical analyses.



Data files:


Field_data_final.csv - Data from the field sampling. Includes Zooplankton densities (number per L water), chlorophyll (μg per L) and temperature.

Expt1_fixed.csv - Data from Experiment 1, the fixed temperature experiment. Includes Zooplankton densities (number per L water and number per mL sediment) and chlorophyll (μg per L of water and μg per mL sediment).

Expt2_gradient.csv - Date from Experiment 2, the temperature gradient experiment. Includes Zooplankton densities (number per L water and number per mL sediment) and chlorophyll (μg per L of water and μg per mL sediment).
DOI: 10.5281/zenodo.12674223
title: Data from: Climate warming disrupts zooplankton phenology and overwintering strategies

description: Data files and R code for the manuscript: Climate warming disrupts zooplankton phenology and overwintering strategies. Published in Limnology and Oceanography.



Content Overview




Rcode:


analyses_20250605.R -  R script used to create Figures 2-4 and Figures S1-S3, and all statistical analyses.



Data files:


Field_data_final.csv - Data from the field sampling. Includes Zooplankton densities (number per L water), chlorophyll (μg per L) and temperature.

Expt1_fixed.csv - Data from Experiment 1, the fixed temperature experiment. Includes Zooplankton densities (number per L water and number per mL sediment) and chlorophyll (μg per L of water and μg per mL sediment).

Expt2_gradient.csv - Date from Experiment 2, the temperature gradient experiment. Includes Zooplankton densities (number per L water and number per mL sediment) and chlorophyll (μg per L of water and μg per mL sediment).
DOI: 10.15468/dl.4uqh4m
title: Occurrence Download

description: A dataset containing 3098186 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Emberiza citrinella"
 ]
}

 The dataset includes 3098186 records from 3802 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022667-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.awdub2
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ulex boivinii Willk., 1877"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254029-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssgt9s
title: Occurrence Download

description: A dataset containing 3021 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sonchus arvensis subsp. uliginosus (M.Bieb.) Nyman"
 ]
}

 The dataset includes 3021 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0269765-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qd38pk
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "Geometry POLYGON((-74.31165 4.56847,-73.64767 4.56847,-73.64767 4.83420,-74.31165 4.83420,-74.31165 4.56847))",
 "HasCoordinate is true",
 "TaxonKey is Eichhornia crassipes (Mart.) Solms",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 50 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009774-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8h9fd
title: Occurrence Download

description: A dataset listing the 1474 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON ((-81.3739282892478 39.87950683197801, -80.68547935387605 39.87950683197801, -80.68547935387605 40.40113501790862, -81.3739282892478 40.40113501790862, -81.3739282892478 39.87950683197801))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1474 records were derived from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005058-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxrbqz
title: Occurrence Download

description: A dataset containing 3022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scarus coelestinus Valenciennes, 1840"
 ]
}

 The dataset includes 3022 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281352-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ku8hp6
title: Occurrence Download

description: A dataset containing 12964 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sorbaria sorbifolia (L.) A.Braun"
 ]
}

 The dataset includes 12964 records from 255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0269788-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bywwzw
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hecatostemon guazumifolius (Kunth) Sleumer"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009774-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ndhfb
title: Occurrence Download

description: A dataset containing 15984 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cynomys ludovicianus (Ord, 1815)"
 ]
}

 The dataset includes 15984 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051171-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uyphfy
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((112.32861 23.95679,113.20752 23.02515,114.15674 22.7439,116.47705 23.35913,117.8877 24.4292,119.13135 25.80249,120.1333 27.2439,120.44971 29.68726,119.46533 32.23608,117.18018 32.85132,115.36963 32.85132,113.96338 32.71069,112.06494 32.11304,111.01025 28.89624,111.23877 26.61108,111.2915 25.64429,112.32861 23.95679))",
 "TaxonKey is Zosterops erythropleurus Swinhoe, 1863"
 ]
}

 The dataset includes 28 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035124-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.