cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.evag4n
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apinagia goejei Went ex Pulle"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039970-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wn82zv
title: Occurrence Download

description: A dataset containing 26361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aetobatus narinari (Euphrasen, 1790)"
 ]
}

 The dataset includes 26361 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118998-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kddhzt
title: Occurrence Download

description: A dataset containing 5697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantago albicans L."
 ]
}

 The dataset includes 5697 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039987-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vs6k7k
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "GadmGid is RUS.30_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Pulsatilla patens (L.) Mill.",
 "Year 2013-2022"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118993-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzc2zk
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apinagia longifolia (Tul.) P.Royen"
 ]
}

 The dataset includes 159 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039990-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsbrsj
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-90.71859 15.81246,-89.63567 15.81246,-89.63567 17.82661,-90.71859 17.82661,-90.71859 15.81246))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Atherinella schultzi (Álvarez & Carranza, 1952)"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184213-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycz9wb
title: Occurrence Download

description: A dataset containing 156841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Glaucidium brasilianum (J.F.Gmelin, 1788)"
 ]
}

 The dataset includes 156841 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039952-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5yk2fy
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-86.8504898000000054 33.5140876000000034, -86.8504898000000054 33.5146880200000012, -86.8504898000000054 33.5157687800000019, -86.8504898000000054 33.5172097800000017, -86.8504898000000054 33.5181704600000003, -86.8504898000000054 33.5194313399999970, -86.8504898000000054 33.5200918000000030, -86.8491128999999944 33.5200918000000030, -86.8474368899999973 33.5200918000000030, -86.8464193199999954 33.5200918000000030, -86.8449228900000065 33.5200918000000030, -86.8438454599999972 33.5200918000000030, -86.8424086999999929 33.5200918000000030, -86.8424086999999929 33.5185907500000013, -86.8424086999999929 33.5175099900000006, -86.8424086999999929 33.5169095700000028, -86.8424086999999929 33.5154685700000030, -86.8424086999999929 33.5140876000000034, -86.8437257399999964 33.5140876000000034, -86.8448031799999995 33.5140876000000034, -86.8459404599999942 33.5140876000000034, -86.8468383200000034 33.5140876000000034, -86.8478558999999990 33.5140876000000034, -86.8494121800000016 33.5140876000000034, -86.8504898000000054 33.5140876000000034))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101205-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znt7zb
title: Occurrence Download

description: A dataset containing 178392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Psarocolius montezuma (Lesson, 1830)"
 ]
}

 The dataset includes 178392 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039997-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33a47m
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Bombyliidae"
 ]
}

 The dataset includes 22 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077922-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2gdz84yygx
title: Federalism and Policing in Nigeria: Colonial Continuities and Contemporary Complexities

description: interviews with 24 experienced civil society actors of the Network on Police Reform in Nigeria (NOPRIN). Interviews were semi-structured and focused on participants’ experiences with police conduct, accountability processes, human rights violations, and police reform challenges in Nigeria. Participants had from 12 to 27 years of professional experience in law enforcement, police reforms, and advocacy, making them valuable sources of in-depth insight. Data collection lasted from October 2021 to December 2022. Additional data collection and clarifications were carried out between March and July 2025.
DOI: 10.17632/2gdz84yygx.1
title: Federalism and Policing in Nigeria: Colonial Continuities and Contemporary Complexities

description: interviews with 24 experienced civil society actors of the Network on Police Reform in Nigeria (NOPRIN). Interviews were semi-structured and focused on participants’ experiences with police conduct, accountability processes, human rights violations, and police reform challenges in Nigeria. Participants had from 12 to 27 years of professional experience in law enforcement, police reforms, and advocacy, making them valuable sources of in-depth insight. Data collection lasted from October 2021 to December 2022. Additional data collection and clarifications were carried out between March and July 2025.
DOI: 10.17632/pxmk6f333r
title: AI Classification Model Dataset [STL Format]

description: STL files of steel beams and columns suitable for conversion into point-cloud data for training a classification model.
DOI: 10.17632/pxmk6f333r.2
title: AI Classification Model Dataset [STL Format]

description: STL files of steel beams and columns suitable for conversion into point-cloud data for training a classification model.
DOI: 10.15468/dl.84v7qy
title: Occurrence Download

description: A dataset containing 2637846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (Switzerland, Germany)",
 "OccurrenceStatus is Present",
 "TaxonKey is Fabaceae"
 ]
}

 The dataset includes 2637846 records from 1028 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068437-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gz437pb5dj
title: AI Part Segmentation Model Dataset [STL, PTS Formats]

description: STL and PTS files of steel beams, columns, and angle braces representing multiple braced-frame systems, intended for training a part-segmentation model [five classes: Column A, Column B, Brace A, Brace B and Beam].
DOI: 10.17632/gz437pb5dj.2
title: AI Part Segmentation Model Dataset [STL, PTS Formats]

description: STL and PTS files of steel beams, columns, and angle braces representing multiple braced-frame systems, intended for training a part-segmentation model [five classes: Column A, Column B, Brace A, Brace B and Beam].
DOI: 10.17632/27g6ndp8nc
title: Feedstock-dependent mechanisms of biochar on soil aggregation: The overlooked role of manganese oxides

description: Soil aggregation is a cornerstone process regulating carbon sequestration, nutrient cycling, and erosion resistance in terrestrial systems. The stability of soil aggregates is governed by a complex interplay of organic and inorganic binding agents. While the role of organic matter is well-appreciated, the specific contributions and interactions of redox-sensitive and hydrolyzable metals (e.g., Fe, Al, Mn) as inorganic cements are less constrained, especially under anthropogenic interventions such as biochar amendment. Our study mechanistically investigates how biochar—a carbon-rich soil amendment—modifies the geochemical environment to alter the speciation, distribution, and efficacy of these key binding agents, thereby controlling aggregate formation and stability.
DOI: 10.17632/27g6ndp8nc.1
title: Feedstock-dependent mechanisms of biochar on soil aggregation: The overlooked role of manganese oxides

description: Soil aggregation is a cornerstone process regulating carbon sequestration, nutrient cycling, and erosion resistance in terrestrial systems. The stability of soil aggregates is governed by a complex interplay of organic and inorganic binding agents. While the role of organic matter is well-appreciated, the specific contributions and interactions of redox-sensitive and hydrolyzable metals (e.g., Fe, Al, Mn) as inorganic cements are less constrained, especially under anthropogenic interventions such as biochar amendment. Our study mechanistically investigates how biochar—a carbon-rich soil amendment—modifies the geochemical environment to alter the speciation, distribution, and efficacy of these key binding agents, thereby controlling aggregate formation and stability.
DOI: 10.17632/mt6jfkxprj
title: BPS2025: A Demographically Focused Dataset of Handwritten Bangla Primary Script for Early Writer Recognition

description: Current benchmarks for handwritten Bangla character recognition (HCR) lack data representing the handwriting of young, primary school-aged learners. We hypothesize that this demographic gap limits the development of robust Optical Character Recognition (OCR) and deep learning models for educational applications. The Bangla Primary Script 2025 (BPS2025) dataset was therefore created to address this need, positing that a large-scale, demographically focused dataset capturing the formative and variable handwriting styles of children is essential for advancing Bangla HCR research and its real-world applications in ed-tech.
The BPS2025 dataset provides a curated collection of isolated handwritten Bangla characters and numerals from 500 primary school students in Bangladesh, aged 7 to 12 (Grades 2 to 5). 
It contains:
24,420 images across 60 balanced classes.
50 basic characters (11 vowels and 39 consonants).
10 digits (0-9).
Comprehensive demographic metadata, including age, gender, grade, and district.
The data reveals the distinct stylistic variations, developmental inconsistencies, and formative errors characteristic of early handwriting acquisition, which are not represented in existing datasets based on adult handwriting.

Notable Findings: 
Demographic Specificity: BPS2025 is the first large-scale dataset exclusively focused on the handwriting of young Bangla learners.
Structural Integrity: The dataset was compiled with a focus on authenticity; no artificial data augmentation was applied to preserve the genuine quality and characteristics of the original samples.
Pre-processed Readiness: The data is offered in two versions to facilitate immediate use: (i) raw scanned images and (ii) processed images cleaned via a standardized 5-stage pre-processing pipeline (including binarization, noise removal, and normalization). Both versions are organized into 60 folders (00-59) by class label for straightforward integration into ML workflows.

Data Interpretation and Usage:
The BPS2025 dataset is a specialized resource designed to train and benchmark models for Bangla HCR, particularly in educational contexts. Researchers and developers can use this data to:
Develop and test the robustness of OCR, deep learning (e.g., CNN, Transformer), and transfer learning models against the challenging variability of children's handwriting.
Investigate correlations between handwriting patterns and demographic factors like age and gender at an early learning stage.
Address the problem of data scarcity for a critical demographic, thereby improving the accuracy and fairness of automated recognition systems in real-world applications such as digital learning platforms, automated grading technologies.

The label mapping is intuitive: folders 00–49 contain basic Bangla characters, and folders 50–59 contain digits. The processed data is further partitioned into standard training, validation, and test sets to enable immediate experimentation and reproducible research.
DOI: 10.17632/mt6jfkxprj.3
title: BPS2025: A Demographically Focused Dataset of Handwritten Bangla Primary Script for Early Writer Recognition

description: Current benchmarks for handwritten Bangla character recognition (HCR) lack data representing the handwriting of young, primary school-aged learners. We hypothesize that this demographic gap limits the development of robust Optical Character Recognition (OCR) and deep learning models for educational applications. The Bangla Primary Script 2025 (BPS2025) dataset was therefore created to address this need, positing that a large-scale, demographically focused dataset capturing the formative and variable handwriting styles of children is essential for advancing Bangla HCR research and its real-world applications in ed-tech.
The BPS2025 dataset provides a curated collection of isolated handwritten Bangla characters and numerals from 500 primary school students in Bangladesh, aged 7 to 12 (Grades 2 to 5). 
It contains:
24,420 images across 60 balanced classes.
50 basic characters (11 vowels and 39 consonants).
10 digits (0-9).
Comprehensive demographic metadata, including age, gender, grade, and district.
The data reveals the distinct stylistic variations, developmental inconsistencies, and formative errors characteristic of early handwriting acquisition, which are not represented in existing datasets based on adult handwriting.

Notable Findings: 
Demographic Specificity: BPS2025 is the first large-scale dataset exclusively focused on the handwriting of young Bangla learners.
Structural Integrity: The dataset was compiled with a focus on authenticity; no artificial data augmentation was applied to preserve the genuine quality and characteristics of the original samples.
Pre-processed Readiness: The data is offered in two versions to facilitate immediate use: (i) raw scanned images and (ii) processed images cleaned via a standardized 5-stage pre-processing pipeline (including binarization, noise removal, and normalization). Both versions are organized into 60 folders (00-59) by class label for straightforward integration into ML workflows.

Data Interpretation and Usage:
The BPS2025 dataset is a specialized resource designed to train and benchmark models for Bangla HCR, particularly in educational contexts. Researchers and developers can use this data to:
Develop and test the robustness of OCR, deep learning (e.g., CNN, Transformer), and transfer learning models against the challenging variability of children's handwriting.
Investigate correlations between handwriting patterns and demographic factors like age and gender at an early learning stage.
Address the problem of data scarcity for a critical demographic, thereby improving the accuracy and fairness of automated recognition systems in real-world applications such as digital learning platforms, automated grading technologies.

The label mapping is intuitive: folders 00–49 contain basic Bangla characters, and folders 50–59 contain digits. The processed data is further partitioned into standard training, validation, and test sets to enable immediate experimentation and reproducible research.
DOI: 10.5281/zenodo.18085479
title: Dark Matter as a Reversible Phase Transition: The \(c\sqrt{\alpha}\) Threshold and Torsional Restructuring in Particle Collisions

description: Abstract  

In Generalized Mass as Twisted Time (G-MaTT), dark matter is not an exotic substance — it is ordinary matter in a desynchronized phase state, analogous to ice versus water. The transition is governed by a single, geometrically fixed threshold:  \[v_{\text{crit}} = c \sqrt{\alpha / w}, \quad \alpha^{-1} = 137.035999206.\]  Above this velocity, phase slip exceeds the coherence margin \(\sqrt{\alpha}\), suppressing the Twist-Untwist Threshold (TUT) weight \(\mathcal{W}_{\text{TUT}} = \exp[-(\Delta\phi)^2/\alpha]\) and decoupling electromagnetic/weak interactions — while gravity, sourced by fractional entanglement, persists. Crucially, this transition is fully reversible: when \(v < c\sqrt{\alpha/w}\), braids re-lock, restoring full coherence. We extend this to particle accelerators: high-energy collisions do not “create particles from energy”, but induce torsional shock and topological fission of \(\hat{M}_\mu\)-knots, followed by re-coherence below threshold. Higher-order scales (\(c\alpha\), \(c\alpha^{3/2}\)) define internal stability regimes — not new thresholds. This unified picture resolves galactic rotation curves, predicts dark→visible conversions in cluster cores, and offers falsifiable signatures at the LHC, DUNE, and CMB-S4.
DOI: 10.5281/zenodo.18085480
title: Dark Matter as a Reversible Phase Transition: The \(c\sqrt{\alpha}\) Threshold and Torsional Restructuring in Particle Collisions

description: Abstract  

In Generalized Mass as Twisted Time (G-MaTT), dark matter is not an exotic substance — it is ordinary matter in a desynchronized phase state, analogous to ice versus water. The transition is governed by a single, geometrically fixed threshold:  \[v_{\text{crit}} = c \sqrt{\alpha / w}, \quad \alpha^{-1} = 137.035999206.\]  Above this velocity, phase slip exceeds the coherence margin \(\sqrt{\alpha}\), suppressing the Twist-Untwist Threshold (TUT) weight \(\mathcal{W}_{\text{TUT}} = \exp[-(\Delta\phi)^2/\alpha]\) and decoupling electromagnetic/weak interactions — while gravity, sourced by fractional entanglement, persists. Crucially, this transition is fully reversible: when \(v < c\sqrt{\alpha/w}\), braids re-lock, restoring full coherence. We extend this to particle accelerators: high-energy collisions do not “create particles from energy”, but induce torsional shock and topological fission of \(\hat{M}_\mu\)-knots, followed by re-coherence below threshold. Higher-order scales (\(c\alpha\), \(c\alpha^{3/2}\)) define internal stability regimes — not new thresholds. This unified picture resolves galactic rotation curves, predicts dark→visible conversions in cluster cores, and offers falsifiable signatures at the LHC, DUNE, and CMB-S4.
DOI: 10.15468/dl.qwfzbq
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tylototriton anguliceps"
 ]
}

 The dataset includes 63 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068446-251120083545085/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.26931112.v3
title: Data set and Code book for <b>Physical</b> <b>activity level among pregnant women attending maternal healthcare services in rural Karnataka; findings of a cross-sectional study</b>

description: The "Pregnancy, Physical Activity, Trimesters, Education Level" dataset contains comprehensive data collected from a study that examines physical activity levels among pregnant women across different trimesters and varying education levels. The dataset is structured to facilitate analysis of the relationship between pregnancy stages (trimesters), physical activity patterns, and educational backgrounds.Contents of the Dataset:Participant Demographics: This file includes anonymized data on the age, education level, and socioeconomic status of the participants.Physical Activity Levels: This file provides detailed records of the frequency, duration, and type of physical activities undertaken by the participants during each trimeThis dataset is available under the CC by 4.0 0 license](https://creativecommons.org/publicdomain/zero/1.0/), allowing free useof the data with no restrictions.<br>
DOI: 10.5281/zenodo.18085340
title: Optimized three-state system using non-equilibrium steady-state approximation

description: Directory containing datasets and data-generating code.  See "READ ME" file.
DOI: 10.5281/zenodo.18085341
title: Optimized three-state system using non-equilibrium steady-state approximation

description: Directory containing datasets and data-generating code.  See "READ ME" file.
DOI: 10.15468/dl.kskpm7
title: Occurrence Download

description: A dataset containing 45176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "IucnRedListCategory is one of (CR, EN)"
 ]
}

 The dataset includes 45176 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068447-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57903/uj/zhohnn
title: Femtosecond pulse parameter estimation from photoelectron momenta using machine learning - replication data

description: This database contains 2-dimensional photoelectron momentum distributions resulting from ionization of Argon target by femtosecond laser pulses (training/testing data; theory and experiment) and neural network models and software for reproduction of all results from the paper.