cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.td4p59
title: Occurrence Download

description: A dataset containing 28822 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((436.58385 13.09129,433.03663 9.77541,439.35993 5.53418,442.21313 5.99686,443.2156 10.16098,436.58385 13.09129))",
 "Geometry POLYGON((478.50446 36.07579,469.10677 30.7362,459.28192 29.77507,445.61257 32.23128,440.27299 30.41582,444.97183 25.28981,454.04913 19.52307,453.62196 2.00921,483.70896 -19.91528,495.45603 -21.83753,503.78579 -31.66238,509.12537 -34.43898,514.03779 -29.09938,512.96987 -15.64362,486.91271 24.2965,478.50446 36.07579))",
 "Geometry POLYGON((399.63524 -2.35315,384.79356 -12.52554,378.95695 -23.69848,375.45498 -28.7013,389.6296 -34.37116,405.97213 -27.86749,411.97551 -16.19426,411.64199 -10.52441,399.63524 -2.35315))",
 "Geometry POLYGON((652.89073 8.6663,641.88056 0.83214,640.61017 -7.6372,648.23259 -22.24686,644.84483 -40.03251,645.48004 -51.25439,654.16113 -47.23144,661.99528 -37.27996,674.6993 -26.2698,684.0156 -12.93056,684.22733 -4.24946,667.07688 0.83214,652.89073 8.6663))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cryptocarya R.Br."
 ]
}

 The dataset includes 28822 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112839-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8uzrwj
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Minibraria monroei (T.L.McGinty, 1962)"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092147-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djua2d
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aniculus maximus Edmondson, 1952"
 ]
}

 The dataset includes 52 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112861-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xamykq
title: Occurrence Download

description: A dataset containing 515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Python bivittatus Kuhl, 1820"
 ]
}

 The dataset includes 515 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057404-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qt7x6f
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Minicymbiola corderoi (Carcelles, 1953)"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092149-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.euusbx
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Malacoctenus zacae Springer, 1959"
 ]
}

 The dataset includes 37 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057427-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqu75r
title: Occurrence Download

description: A dataset containing 5455 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erysimum odoratum Ehrh."
 ]
}

 The dataset includes 5455 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154291-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcgm86
title: Occurrence Download

description: A dataset containing 25228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Micrastur ruficollis (Vieillot, 1817)"
 ]
}

 The dataset includes 25228 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157496-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8ru8m
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syngnathus euchrous Fritzsche, 1980"
 ]
}

 The dataset includes 69 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057392-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5dzfe
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Venezuela (Bolivarian Republic of)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cervidae"
 ]
}

 The dataset includes 196 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112886-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9njjv
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Benin",
 "TaxonKey is one of (Lycaon pictus (Temminck, 1820), Crocuta crocuta (Erxleben, 1777), Acinonyx jubatus (Schreber, 1775))"
 ]
}

 The dataset includes 138 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057405-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvkhzx
title: Occurrence Download

description: A dataset containing 4891 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Botryococcaceae)"
 ]
}

 The dataset includes 4891 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154305-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qnw8th
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mioawateria extensaeformis (Schepman, 1913)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092151-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h5xmhg
title: Occurrence Download

description: A dataset containing 1202072 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Brachytheciaceae)"
 ]
}

 The dataset includes 1202072 records from 870 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154322-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/8r67-sj39
title: "TEA-FER"

description: "The TEA-FER Dataset is designed to advance research on teacher emotion recognition in authentic educational settings. It contains facial expression data corresponding to seven basic emotion categories\u2014anger, disgust, fear, happiness, neutral, sadness, and surprise\u2014collected from selected teachers using an emoji guided data acquisition approach. The dataset aims to foster interdisciplinary research at the intersection of computer vision, educational technology, and teacher professional development, ultimately contributing to the enhancement of teaching quality."
DOI: 10.5281/zenodo.18477892
title: Raw data and supplementary materials 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 and supplementary materials This package contains the raw data and supplementary materials necessary to replicate the findings of the study.





Raw_Dataset.xlsx: The original dataset containing clinical parameters of the 200 patients analyzed in the study.




Analysis_Code_R.docx: The R code scripts used for LASSO regression, multivariate logistic regression, and nomogram construction (provided in .docx format).




Supplementary Table 1.docx: Verification of statistical assumptions for the final multivariate logistic regression model.




Supplementary Table 2.docx: Internal validation of the final model using Bootstrap method (1,000 resamples).
DOI: 10.5281/zenodo.18477891
title: Raw data and supplementary materials 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 and supplementary materials This package contains the raw data and supplementary materials necessary to replicate the findings of the study.





Raw_Dataset.xlsx: The original dataset containing clinical parameters of the 200 patients analyzed in the study.




Analysis_Code_R.docx: The R code scripts used for LASSO regression, multivariate logistic regression, and nomogram construction (provided in .docx format).




Supplementary Table 1.docx: Verification of statistical assumptions for the final multivariate logistic regression model.




Supplementary Table 2.docx: Internal validation of the final model using Bootstrap method (1,000 resamples).
DOI: 10.15468/dl.tnhgp9
title: Occurrence Download

description: A dataset containing 3646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-83.647231 40.342115, -83.697088 40.406270, -83.781667 40.406270, -83.731759 40.342115, -83.647231 40.342115))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 3646 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011005-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/hhf-r69-qw8
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/kpg-bn8-ja1
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/jc5-7k9-ngj
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/r65-7ps-pq7
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5ab-2xj-j3x
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/slp-wcn-knm
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.yzrm7q
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grapholita molesta",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 150 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011006-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqtrb3
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alluaudia ascendens",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 34 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011008-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qd38k6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grapholita inopinata",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011010-260129131611470/datasets/export for details.
DOI: 10.15468/dl.qa26ug
title: Occurrence Download

description: A dataset containing 16481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-83.422833 40.285016, -83.474143 40.351350, -83.561577 40.351350, -83.510214 40.285016, -83.422833 40.285016))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 16481 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011009-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18478094
title: Emergent Standard Model with Torsion from Noncommutative Geometry: A Complete Derivation from Spectral Triples

description: We present a complete derivation of the Standard Model coupled to gravity with torsion, startingfrom a single mathematical object: a real spectral triple (A, H, D, J, γ). Our main contributionsare: (1) A rigorous construction of bilinear tensor fields Tμν (a, b) that encode metric, torsion, andcurvature directly from spectral data, establishing the exact relation Tλμν ∼ ∂[λθμν] between torsionand spacetime noncommutativity; (2) A full sector decomposition showing how torsion naturallysplits into U (1)Y , SU (2)L, SU (3)C , and Higgs components, with coefficients determined by Stan-dard Model quantum numbers; (3) Derivation of generalized Cartan equations that include bothstandard spin-sourced torsion and novel noncommutativity-induced terms; (4) A geometric mechanism for QCD confinement, where flux tubes emerge as torsion-gluon constrained configurations with quantized magnetic flux; (5) Complete spectral action formulation yielding all dynamics. All physicalstructures—spacetime geometry, gauge fields, Higgs mechanism, confinement—emerge algebraicallywithout additional assumptions. We compute explicit coefficients, verify dimensional consistency,and provide phenomenological predictions including torsion masses mT ∼ 10−5 eV, modification ofelectroweak precision parameters, and corrections to the QCD string tension.We further propose that the noncommutativity parameter θμν undergoes a Landau-Ginzburg typephase transition, with spacetime evolving from a fundamentally noncommutative quantum phase athigh energies to an effectively commutative classical geometry at low energies. This transition isgoverned by a generalized Perelman entropy functional that couples θ-field dynamics to Ricci flow,providing a unified mechanism for the emergence of classical spacetime geometry, with torsion servingas the order parameter. The framework predicts testable cosmological signatures including modifiedprimordial gravitational wave spectra and ultralight torsion modes potentially contributing to darkmatter or dark energy.The theory predicts a stochastic gravitational wave background from the phase transition withΩGW ∼ 10−9 − 10−7 peaking in the LISA frequency band (10−3 − 10−1 Hz). This background pro-vides a natural mechanism for spontaneous wavefunction collapse at mesoscopic scales (∆xc ∼ 0.1 AU), offering a physical solution to the quantum measurement problem and linking early universephysics to the emergence of classical reality.
DOI: 10.15468/dl.69epa9
title: Occurrence Download

description: A dataset containing 4162978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is China"
 ]
}

 The dataset includes 4162978 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010987-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knxa6s
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alluaudia procera",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 167 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011011-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkmage
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mongolia",
 "TaxonKey is Rheum rhabarbarum"
 ]
}

 The dataset includes 251 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011012-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18477118
title: LiDAR-Based Pose Initialization Dataset for Spinning Spacecrafts

description:  

This dataset contains fully synthetic LiDAR data generated from scratch and used in the article:

Recurrent Convolutional Neural Networks for LiDAR-Based Pose Initialization of Spinning Spacecrafts

Authors:Luca Bechis, Jean-Luc Sarvadon, Petre Ricioppo, Mauro ManciniDepartment of Mechanical and Aerospace Engineering, Politecnico di Torino, Italy

Dataset Description

The dataset is designed for LiDAR-based pose initialization and relative navigation of spinning spacecraft.

It includes two main components:1) Image Dataset: image-based LiDAR representations used as inputs for convolutional neural networks.2) Sequence Dataset: temporal sequences of LiDAR scans used for recurrent neural network training.

The dataset includes data generated for three spacecraft models:- Aquarius- Magellan- NEAR Shoemaker

The data are fully synthetic and generated using a custom simulation pipeline.

Citation

If you use this dataset in your work, please cite both this dataset and the associated article.

@article{Bechis2025RCNNLiDAR,  title   = {Recurrent Convolutional Neural Networks for LiDAR-Based Pose Initialization of Spinning Spacecrafts},  author  = {Bechis, Luca and Sarvadon, Jean-Luc and Ricioppo, Petre and Mancini, Mauro},  journal = {IFAC World Congress},  year    = {2025},  note    = {Under review}

Dataset Repository

The dataset repository, including future releases of the dataset generation code, is available at:https://github.com/STREAMRobotics/rcnn-lidar-spinning-spacecraft-dataset