cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.91ss2f
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cameroon",
 "TaxonKey is Placodiscus caudatus Pierre ex Radlk."
 ]
}

 The dataset includes 75 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011104-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7qz9e
title: Occurrence Download

description: A dataset containing 5667 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Regulus calendula (Linnaeus, 1766)",
 "Year 2011-2018"
 ]
}

 The dataset includes 5667 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0241717-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d88p97
title: Occurrence Download

description: A dataset containing 5130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carcharhinus falciformis (Müller & Henle, 1839)",
 "Year 2011-2021"
 ]
}

 The dataset includes 5130 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0248079-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxsjdj
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Herklotsichthys spilurus (Guichenot, 1863)"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247889-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lg2oaj
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abrus melanospermus Hassk."
 ]
}

 The dataset includes 282 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011104-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xa34p
title: Occurrence Download

description: A dataset containing 252092 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-98.62427 21.50024,-99.01978 22.13745,-99.94263 21.63208,-99.83276 20.33569,-98.40454 20.46753,-98.62427 21.50024))"
 ]
}

 The dataset includes 252092 records from 594 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233286-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6a5vh
title: Occurrence Download

description: A dataset containing 984 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.75064 45.77464,11.79813 45.77464,11.79813 45.79487,11.75064 45.79487,11.75064 45.77464))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 984 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006634-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/868nc2w0
title: indic-punct

description: The dataset is used for automatic punctuation restoration and inverse text normalization for Indic languages.
DOI: 10.13145/bacdive174073.20251217.10
title: Bacillus sphaericus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive174074.20241212.9.2
title: Bacillus sphaericus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive174074.20251217.10
title: Bacillus sphaericus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/8gvvbgdp
title: MiraBest

description: MiraBest is a publicly available batched dataset of 1256 radio-loud AGN from NVSS and FIRST, filtered to 0.03 &lt; 𝑧 &lt; 0.1, manually labelled by Miraghaei and Best (2017) according to the Fanaroﬀ-Riley morphological classification, created for machine learning applications and compatible for use with standard deep learning libraries.
DOI: 10.5281/zenodo.18112566
title: SEA-Bird: A Machine Learning–Ready Bird Sound Dataset for Ten Common Southeast Asian Species

description: The SEA-Bird dataset is a curated, machine-learning–ready collection of avian vocalizations from ten bird species that are among the most commonly found in Malaysia. Recordings are sourced primarily from Southeast Asia, with a small number from surrounding regions. The dataset comprises 6,000 three-second audio clips sampled at 16 kHz and an additional 5,821 clips at 44.1 kHz, each manually verified to ensure minimal background noise, balanced class representation, and the absence of overlapping species calls.

The SEA-Bird dataset was developed to address the scarcity of machine-learning–ready acoustic datasets from underrepresented tropical regions, particularly in Southeast Asia. It supports research in automated species identification, biodiversity monitoring, and embedded acoustic sensing. The 16 kHz subset is optimized for Edge AI applications on low-power microcontrollers, while the 44.1 kHz version preserves high-frequency detail suitable for advanced spectro-temporal analyses.

All recordings were sourced from the Xeno-canto open repository under Creative Commons licenses and subjected to a rigorous curation process. This process included segmentation and manual inspection of spectrograms to ensure vocal clarity and completeness.

The dataset is organized into training, validation, and test directories. Each directory contains ten subfolders, one for each bird species included in the dataset (e.g., Common_Myna/, Spotted_Dove/). Within each species folder, individual clips are named using the original Xeno-canto recording ID followed by the clip start time in milliseconds relative to the source recording (e.g., XC123456_15000.wav). This naming and directory structure preserves traceability and facilitates seamless integration into automated processing pipelines.

The training, validation, and test splits follow an exact 75/10/15 ratio and were generated using mixed-integer programming to eliminate data leakage. No source recording contributes clips to more than one split. The split ratios were chosen to optimize the size of the training split while keeping enough samples for validation and testing.

Preliminary experiments using MobileNetV3-Small achieved classification accuracies above 90%, while benchmark models such as EfficientNet-B0, ResNet-50, and VGG-16 confirmed the dataset’s robustness for deep-learning applications.

Both subsets are released under a Creative Commons Attribution (CC BY 4.0) license and are freely available for academic and applied research. The dataset contributes to the growing body of open bioacoustic resources that promote reproducible, scalable, and inclusive research in tropical biodiversity informatics.
DOI: 10.57702/53qffjtm
title: CNAE dataset

description: The dataset used in the paper is a real dataset from the UCI Machine Learning Repository.
DOI: 10.5281/zenodo.17514384
title: SPARC–4DEU per-single galaxy rotation-curve fits

description: This Excel workbook contains the per-galaxy data used to generate the fitting plots for the 129 SPARC galaxies that were found to be statistically eligible for the 4DEU fitting procedure. The dataset is derived from the SPARC database of disk-galaxy rotation curves (Lelli F., McGaugh S.S. & Schombert J.M., 2016, SPARC Galaxy Rotation Curve (Dataset), Zenodo, https://doi.org/10.5281/zenodo.16284118).

The workbook includes one worksheet per galaxy, each containing the observational and model-derived quantities required to reconstruct the fitting of the extra-velocity component, interpreted in the 4DEU framework as a purely geometric effect arising from the local gravitational blocking of the 3D-only cosmic expansion, and therefore encoded as an intrinsic curvature of the three-dimensional spatial hypersurface in which observers reside.In the ΛCDM framework, this same component is conventionally attributed to the presence of dark matter.

This dataset directly supports the peer-reviewed article:

Maglione, D. (2026). Galactic Rotation Curves Explained in the 4DEU Framework by 3D Spatial Curvature from Local Gravitational Blocking of Cosmic Expansion: No Need for Dark Matter.To be published in Journal of High Energy Physics, Gravitation and Cosmology, 12(1).

The file is distributed in read-only mode to preserve the integrity of the original data. It may be freely accessed, analyzed, and cited using the DOI assigned by Zenodo.
DOI: 10.57702/244a3tqs
title: DS1

description: A video dataset consisting of 31 video clips captured by cameras in different scenarios, with a total duration of 74 minutes.
DOI: 10.15468/dl.3kyw48
title: Occurrence Download

description: A dataset containing 212202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Observation)",
 "Continent is Asia",
 "Country is India",
 "Geometry POLYGON((67 6,95.05953 6.4216,97.44302 34.75018,67 36,67 6))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC0 1.0, CC-BY-NC 4.0)",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)"
 ]
}

 The dataset includes 212202 records from 551 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079597-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8emb8v
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Araucaria muelleri"
 ]
}

 The dataset includes 136 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079617-251120083545085/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.31017394
title: CS3D100 Dataset

description: CSCD100_test dataset
DOI: 10.5281/zenodo.17514383
title: SPARC–4DEU per-single galaxy rotation-curve fits

description: This Excel workbook contains the per-galaxy data used to generate the fitting plots for the 129 SPARC galaxies that were found to be statistically eligible for the 4DEU fitting procedure. The dataset is derived from the SPARC database of disk-galaxy rotation curves (Lelli F., McGaugh S.S. & Schombert J.M., 2016, SPARC Galaxy Rotation Curve (Dataset), Zenodo, https://doi.org/10.5281/zenodo.16284118).

The workbook includes one worksheet per galaxy, each containing the observational and model-derived quantities required to reconstruct the fitting of the extra-velocity component, interpreted in the 4DEU framework as a purely geometric effect arising from the local gravitational blocking of the 3D-only cosmic expansion, and therefore encoded as an intrinsic curvature of the three-dimensional spatial hypersurface in which observers reside.In the ΛCDM framework, this same component is conventionally attributed to the presence of dark matter.

This dataset directly supports the peer-reviewed article:

Maglione, D. (2026). Galactic Rotation Curves Explained in the 4DEU Framework by 3D Spatial Curvature from Local Gravitational Blocking of Cosmic Expansion: No Need for Dark Matter.To be published in Journal of High Energy Physics, Gravitation and Cosmology, 12(1).

The file is distributed in read-only mode to preserve the integrity of the original data. It may be freely accessed, analyzed, and cited using the DOI assigned by Zenodo.
DOI: 10.15468/dl.px267f
title: Occurrence Download

description: A dataset containing 304435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Apis mellifera Linnaeus, 1758",
 "Year 2004-2021"
 ]
}

 The dataset includes 304435 records from 710 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221739-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112035222
title: Cuneiform Tablet 1913.14.1676, Spurlock 1913.14.1676

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1676; CDLI P421527 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Dark Gray (N 3.75/ 10.4% R) Brownish Pink (5YR 8/2) Yellowish Gray (10YR 8.5/2) ❧ [Physical Object Note:] 9.3 x 8.8 x 3.2 cm (202 g)
DOI: 10.15468/dl.2f43nd
title: Occurrence Download

description: A dataset containing 197198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.80535 44.85929,-3.85295 42.90755,-0.09229 37.62358,1.47862 40.7178,6.00094 42.1935,8.2859 38.19482,15.14077 35.81466,26.42276 33.14887,35.08656 36.67152,50.46244 41.38425,47.27302 48.23912,27.61285 49.81003,19.30168 49.71389,14.75988 51.04972,12.06152 50.40852,11.95465 51.61076,8.42808 51.3436,6.60871 50.43043,3.32258 52.06013,0.17004 50.24341,-1.80698 50.18998,-3.1428 47.03743,-3.80535 44.85929))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus pubescens Willd."
 ]
}

 The dataset includes 197198 records from 763 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260883-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6jk63
title: Occurrence Download

description: A dataset containing 694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "CoordinateUncertaintyInMeters 0.0-1030.0",
 "TaxonKey is Salvia elegans Vahl",
 "Year 1923-2023"
 ]
}

 The dataset includes 694 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098869-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7pcmuk
title: Occurrence Download

description: A dataset containing 64402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Butorides striata (Linnaeus, 1758)"
 ]
}

 The dataset includes 64402 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251980-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112042161
title: Cuneiform Tablet 1913.14.0146, Spurlock 1913.14.0146

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0146; CDLI P420527 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Pale Orange Yellow (10YR 8/3) ❧ [Physical Object Note:] 8.2x4.9 x 2.5 cm (110g)
DOI: 10.15468/dl.6m4cxu
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grobya fascifera Rchb.f."
 ]
}

 The dataset includes 33 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233658-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48733/ifjpan/nv5zfv
title: Lipid droplet isolation as a novel platform for spectroscopic investigation of cargo modifications - research data

description: This dataset contains processed and raw Raman spectroscopic data of isolated lipid droplets (iLDs) obtained from Schwann cells and MPNST cells. The data were generated to investigate lipid droplet cargo modifications under different experimental conditions, including CBD treatment and X-ray irradiation.

The dataset was used to construct all figures and calculations presented in the manuscript:
“Lipid droplet isolation as a novel platform for spectroscopic investigation of cargo modifications.”
DOI: 10.5281/zenodo.18479363
title: Raw Data for: Individualized Nomogram-Based Model for Predicting the Risk of Gingival Recession after Microsurgical Endodontics

description: Abstract Background: Microsurgical endodontic surgery is a standard tooth-preserving treatment. However, postoperative gingival recession, particularly in aesthetically critical areas, remains a common complication. A reliable tool for preoperative risk assessment is currently lacking. Objective: To identify key risk factors and develop an individualized nomogram for predicting gingival recession risk following microsurgical endodontics. Methods: This retrospective study analyzed 200 patients, including 50 with postoperative recession. Potential predictors were screened using Least Absolute Shrinkage and Selection Operator (LASSO) regression, and significant variables were incorporated into a multivariate logistic regression model to construct a nomogram. The model’s discrimination was assessed by the C-index, calibration was evaluated via calibration curves and the Hosmer-Lemeshow test, and internal validation was performed using 1,000 bootstrap resamples. Results: The study identified seven independent predictors: thin gingival biotype (OR=5.74), sulcular incision (OR=3.55), presence of restoration (OR=3.29), smoking (OR=2.96), and advanced age (OR=1.05). Conversely, greater keratinized gingiva width (OR=0.57) and the use of floss or water flosser (OR=0.35) were identified as protective factors. The final nomogram demonstrated excellent discrimination with a C-index of 0.87 (95% CI: 0.81; 0.92) and good calibration, supported by a Nagelkerke R2 of 0.46, a non-significant Hosmer-Lemeshow test (P=0.917), and high agreement in calibration curves (Mean Absolute Error=0.026). Conclusion: A validated nomogram integrating anatomical, surgical, and behavioral factors was developed. This tool facilitates preoperative identification of high-risk patients, enabling targeted preventive strategies to optimize aesthetic outcomes.

Description of dataset This repository contains the raw data for the study.





Raw_Dataset.xlsx: The original dataset containing clinical parameters of the 200 patients analyzed in the study.
DOI: 10.5281/zenodo.18479364
title: Raw Data for: Individualized Nomogram-Based Model for Predicting the Risk of Gingival Recession after Microsurgical Endodontics

description: Abstract Background: Microsurgical endodontic surgery is a standard tooth-preserving treatment. However, postoperative gingival recession, particularly in aesthetically critical areas, remains a common complication. A reliable tool for preoperative risk assessment is currently lacking. Objective: To identify key risk factors and develop an individualized nomogram for predicting gingival recession risk following microsurgical endodontics. Methods: This retrospective study analyzed 200 patients, including 50 with postoperative recession. Potential predictors were screened using Least Absolute Shrinkage and Selection Operator (LASSO) regression, and significant variables were incorporated into a multivariate logistic regression model to construct a nomogram. The model’s discrimination was assessed by the C-index, calibration was evaluated via calibration curves and the Hosmer-Lemeshow test, and internal validation was performed using 1,000 bootstrap resamples. Results: The study identified seven independent predictors: thin gingival biotype (OR=5.74), sulcular incision (OR=3.55), presence of restoration (OR=3.29), smoking (OR=2.96), and advanced age (OR=1.05). Conversely, greater keratinized gingiva width (OR=0.57) and the use of floss or water flosser (OR=0.35) were identified as protective factors. The final nomogram demonstrated excellent discrimination with a C-index of 0.87 (95% CI: 0.81; 0.92) and good calibration, supported by a Nagelkerke R2 of 0.46, a non-significant Hosmer-Lemeshow test (P=0.917), and high agreement in calibration curves (Mean Absolute Error=0.026). Conclusion: A validated nomogram integrating anatomical, surgical, and behavioral factors was developed. This tool facilitates preoperative identification of high-risk patients, enabling targeted preventive strategies to optimize aesthetic outcomes.

Description of dataset This repository contains the raw data for the study.





Raw_Dataset.xlsx: The original dataset containing clinical parameters of the 200 patients analyzed in the study.
DOI: 10.15468/dl.pwkwuf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oligonychus pratensis",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011218-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wd3bqy
title: Occurrence Download

description: A dataset containing 376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.43825 39.80122,-2.29951 39.80122,-2.29951 39.85677,-2.43825 39.85677,-2.43825 39.80122))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 1991-2026"
 ]
}

 The dataset includes 376 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011217-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18479366
title: Dataset Repository_Leadership Dynamics During the Commissioning of a Humanoid Social Robot - Results of a controlled observational study on the stability of the "alpha group-role"
DOI: 10.5281/zenodo.18479367
title: Dataset Repository_Leadership Dynamics During the Commissioning of a Humanoid Social Robot - Results of a controlled observational study on the stability of the "alpha group-role"
DOI: 10.6084/m9.figshare.31229326
title: A publicly available 12-lead electrocardiogram criti-cal value dataset covering 13126 records

description: This project collected 13,126 12-lead electrocardiogram (ECG) records from the First Affiliated Hospital of Zhengzhou University from June 2015 to November 2024, and constructed the ZZU-ZUA ECG critical value database. The ECG records in this database were from 9,785 patients, with recording durations ranging from 7 to 198 seconds, a sampling rate of 500 Hz, and covering 15 types of critical arrhythmias. All samples were labeled and verified by professional physicians. This database can be directly used for research related to arrhythmia detection.