cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17442881
title: Experimental Data, MATLAB Scripts, and CAD Files for a Sensory Feedback Device for Upper-limb Prostheses

description: This dataset contains the experimental data, MATLAB analysis scripts, and CAD files used for modeling and characterization of a sensory feedback device designed for upper-limb prostheses. The repository supports the work titled “Design and Development of a Human-Hand-Inspired Tactile Display: Conveying Phalangeal Forces and Grip Patterns to the Upper Arm”

The data include raw voltage signals recorded from the actuator and muscle parameters experiments during parameter identification experiments, along with scripts for transfer-function estimation, curve-fitting comparison, and a simple thermal budget analysis. CAD file of the actuator coil bobbin is provided for reference and reproducibility.

Each MATLAB script is fully commented and corresponds to a specific step in the system-identification workflow:





Importing raw signal data




Estimating the actuator transfer function using the System Identification Toolbox




Comparing model outputs with measured data and computing the fit percentage




Performing thermal analysis to determine safe current limits under natural convection



All files are intended to facilitate transparent verification of the device’s performance and to support further research in prosthetic sensory feedback, electromechanical actuator design, and thermally safe wearable interfaces.
DOI: 10.6084/m9.figshare.30446972
title: <b>Distinct diversity of skin cell populations of</b><b> </b><b>rhinophyma</b><b> </b><b>and hypertrophic scar illustrated by</b><b> </b><b>scRNA-seq</b>

description: This study employs <b>single-cell RNA sequencing (scRNA-seq)</b> to investigate the fundamental cellular and molecular differences between two fibrotic skin conditions: <b>rhinophyma</b> (a severe form of rosacea) and <b>hypertrophic scars (HS)</b>. The central, clinically observed paradox that motivates this research is that while both conditions involve skin thickening and fibrosis, <b>rhinophyma heals normally after surgical excision, whereas hypertrophic scars often recur or heal poorly.</b> The aim is to uncover the mechanisms behind this differential healing response.
DOI: 10.6084/m9.figshare.30446972.v1
title: <b>Distinct diversity of skin cell populations of</b><b> </b><b>rhinophyma</b><b> </b><b>and hypertrophic scar illustrated by</b><b> </b><b>scRNA-seq</b>

description: This study employs <b>single-cell RNA sequencing (scRNA-seq)</b> to investigate the fundamental cellular and molecular differences between two fibrotic skin conditions: <b>rhinophyma</b> (a severe form of rosacea) and <b>hypertrophic scars (HS)</b>. The central, clinically observed paradox that motivates this research is that while both conditions involve skin thickening and fibrosis, <b>rhinophyma heals normally after surgical excision, whereas hypertrophic scars often recur or heal poorly.</b> The aim is to uncover the mechanisms behind this differential healing response.
DOI: 10.15468/dl.78n5pe
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is January",
 "OccurrenceStatus is Present",
 "TaxonKey is Veronica persica",
 "Year 2025-2025"
 ]
}

 The dataset includes 34 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000865-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhyqvf
title: Occurrence Download

description: A dataset containing 17825 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sternula albifrons albifrons",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-26.542322 25.637500, 53.987701 25.637500, 53.987701 73.184014, -26.542322 73.184014, -26.542322 25.637500))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 17825 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000864-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17447863
title: Teoría Cromodinámica Sincrónica ΑΩ

description: Este documento presenta el ΣFET (Transistor de Efecto de Campo Basado en Coherencia), un nuevo dispositivo semiconductor diseñado para controlar el ruido de fase y sincronizar señales en electrónica de alta frecuencia. A diferencia de transistores convencionales, el ΣFET modula activamente la coherencia (Σ) del material subyacente mediante un campo de control. Esto fuerza un estado de sincronización de alta pureza, reduciendo drásticamente el ruido de fase y estabilizando la frecuencia.

 

 

 

 

La firma física clave de su operación es la generación controlada de "Lenguas de Arnold". El principio se basa en la Teoría Cromodinámica Sincrónica (TCDS), que postula un campo universal de coherencia (Σ).

 

 

El documento también destaca un isomorfismo entre el mecanismo del ΣFET y la regulación de coherencia en sistemas biológicos (CSL-H), sugiriendo que el ΣFET valida principios universales de la TCDS. Finalmente, propone un protocolo experimental falsable para verificar su funcionamiento mediante la observación y manipulación de las Lenguas de Arnold.
DOI: 10.5281/zenodo.14189565
title: FRB20220529

description: Description:

This dataset contains supplementary files associated with the the repeating fast radio burst FRB 20220529. 

FRB20220529_GTC_1Dspec.fits — The 1D optical spectrum of the host galaxy of FRB 20220529, obtained with the 10.4-m Gran Telescopio Canarias (GTC). The file is in standard FITS format and can be read using Python packages such as astropy.io.fits.

FRB20220529_TableS5.csv — Supplementary Table S5 from the associated paper, listing the Properties of FRB 20220529 bursts with RM measurements in the low RM state.

FRB20220529_burst.zip — Data for bursts observed during the RM increase and prompt recovery. 

 

Usage:The data can be analyzed using standard Python tools (numpy, astropy, matplotlib, etc.). Please cite the corresponding publication when using these data.
DOI: 10.5281/zenodo.17446358
title: FRB20220529

description: Description:

This dataset contains supplementary files associated with the the repeating fast radio burst FRB 20220529. 

FRB20220529_GTC_1Dspec.fits — The 1D optical spectrum of the host galaxy of FRB 20220529, obtained with the 10.4-m Gran Telescopio Canarias (GTC). The file is in standard FITS format and can be read using Python packages such as astropy.io.fits.

FRB20220529_TableS5.csv — Supplementary Table S5 from the associated paper, listing the Properties of FRB 20220529 bursts with RM measurements in the low RM state.

FRB20220529_burst.zip — Data for bursts observed during the RM increase and prompt recovery. 

 

Usage:The data can be analyzed using standard Python tools (numpy, astropy, matplotlib, etc.). Please cite the corresponding publication when using these data.
DOI: 10.15468/dl.tdg7ux
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hedysarum scoparium"
 ]
}

 The dataset includes 88 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000869-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17447803
title: Fourth Survey of Spanish Parliamentary Elites (2025)

description: This dataset contains the anonymized responses from the Fourth Survey of Spanish Parliamentarians (2025), conducted within the ELITPOLAR project.
DOI: 10.5281/zenodo.17446563
title: Jovian Zonal Winds Data from Cassini/VIMS Observations

description: The calibrated I/F data as well as the velocity calibration curve.
DOI: 10.5281/zenodo.17447956
title: TASVIRIY SAN'AT DARSLARIDA FANLARARO INTEGRATSIYA
DOI: 10.5281/zenodo.17447957
title: TASVIRIY SAN'AT DARSLARIDA FANLARARO INTEGRATSIYA
DOI: 10.5281/zenodo.17447965
title: KIMYOVIY TAFAKKURNI RIVOJLANTIRISHDA TEMIR VA UNING BIRIKMALARINI O'QITISH VOSITALARINING O'RNI
DOI: 10.5281/zenodo.17447966
title: KIMYOVIY TAFAKKURNI RIVOJLANTIRISHDA TEMIR VA UNING BIRIKMALARINI O'QITISH VOSITALARINING O'RNI
DOI: 10.34740/kaggle/dsv/13507395
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.34740/kaggle/dsv/13507423
title: Zara Sales for EDA 🛍️
DOI: 10.5281/zenodo.17447981
title: Genetic algorithm with cluster-based search space correction
DOI: 10.5281/zenodo.17447982
title: Genetic algorithm with cluster-based search space correction
DOI: 10.15468/dl.sbd2yh
title: Occurrence Download

description: A dataset containing 32660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.14.21_2",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 32660 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000870-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ha4jw8
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Batrachyla antartandica"
 ]
}

 The dataset includes 111 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000871-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtt3nc
title: Occurrence Download

description: A dataset containing 1890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is Andalucía",
 "TaxonKey is Tetrax tetrax",
 "Year 1900-2025"
 ]
}

 The dataset includes 1890 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000873-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phjtbv
title: Occurrence Download

description: A dataset containing 2996 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Eragrostis tef"
 ]
}

 The dataset includes 2996 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000874-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17448011
title: Daten der Notaufnahmesurveillance

description: Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und das AKTIN-Notaufnahmeregister bei Krankenhausaufnahmen bereitgestellt. Der Datensatz beinhaltet aggregierte Routinedaten aus deutschen Notaufnahmen zur syndromischen Überwachung von akuten Erkrankungen. Dazu zählen grippeähnliche Erkrankungen (ILI), Coronavirus-Erkrankungen (COVID-19), akute respiratorische Erkrankungen (ARE), gastrointestinale Infektionen (GI) und schwere akute respiratorische Infektionen (SARI). Dabei wird der relative Anteil dieser Erkrankungen an der Gesamtzahl der Notaufnahmevorstellungen sowie die berechneten Erwartungswerte und Prädiktionsintervalle ausgewiesen. Die Daten sind nach Notaufnahmetypen und Altersgruppen aggregiert. Damit bietet der Datensatz eine wertvolle Ressource für die Forschung im Bereich der Notfallmedizin und der Überwachung akuter Gesundheitsereignisse in Deutschland.
DOI: 10.15468/dl.dacn2v
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Alsodes coppingeri"
 ]
}

 The dataset includes 32 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000875-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/tyzd-vz89
title: Parkes observations for project P1382 semester 2025OCTS_09

description: The prevalence of millisecond pulsars (MSPs) in and around the Galactic center and the bulge has been one of the key questions in pulsar astronomy. In addition to finding more exotic and interesting binary systems at and around the Galactic center and bulge due to the enhanced density of stars/stellar remnants, MSPs are also proposed to be one of the candidates to explain the observed Fermi gamma-ray excess. However, most of the MSPs discovered so far are field (disk) MSPs or those in globular clusters. Initial steps towards addressing the question of Galactic center/bulge MSPs were made with the discovery of the first MSPs in a Galactic filament, but more progress comes from the discovery of a sample of MSPs around the Galactic center. Blind surveys targeting MSPs can suffer from many observational biases that smear the pulses due to binary acceleration, scattering from the enhanced density, and so on, which increases the parameter space for discovery and can sometimes make the problem intractable. However, if pulsar candidates can be identified reliably from imaging surveys, then targeted observations can make the problem tractable in identifying the pulsations. We followed up a sample of polarized sources identified in the MeerKAT bulge imaging survey and discovered a sample of 16 new MSPs. Here we request the timing observations of 8 interesting MSPs (a subset of our discovery sample), to study the binary nature of these sources and their potential inclusion in pulsar timing array efforts.
DOI: 10.15468/dl.khg9uw
title: Occurrence Download

description: A dataset containing 877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Batrachyla leptopus"
 ]
}

 The dataset includes 877 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000876-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16964765
title: Dataset for the ASE 2025 Challenge on Code Completion Context Collection Optimization

description: This dataset was used in the ASE 2025 Challenge on Code Completion Context Collection Optimization organized by JetBrains and Mistral AI. It includes the ground truth data and the associated repositories for all three phases: practice, public, and private. It also covers both tracks, Python and Kotlin. In addition, the dataset contains submitted solutions from the private phase as well as baseline solutions (BM25 and recent files) for further study.



Overall: 102 repositories, 1,746 revisions, and 1,764 completion points

Python: 47 points for Practice, 247 for Public, 394 for Private (total: 688 points from 52 repos)

Kotlin: 30 points for Practice, 400 for Public, 646 for Private (total: 1,076 points from 50 repos)
description: Python Track Results (Private Phase)




Team
Mellum
Codestral
Qwen
Average




NoMoreActimel
0.656
0.820
0.725
0.734


SpareCodeComplete
0.695
0.766
0.713
0.725


REALISE Lab
0.613
0.710
0.608
0.644


WSPR_NCSU
0.582
0.710
0.615
0.636


Baseline: BM25
0.585
0.659
0.585
0.610


SaNDwich&TEST
0.590
0.661
0.578
0.610


Baseline: Recent
0.576
0.657
0.587
0.606




Kotlin Track Results (Private Phase)




Team
Mellum
Codestral
Qwen
Average




SpareCodeComplete
0.723
0.769
0.753
0.748


NoMoreActimel
0.684
0.791
0.719
0.731


WSPR_NCSU
0.616
0.709
0.653
0.660


REALISE Lab
0.652
0.688
0.637
0.659


SaNDwich&TEST
0.633
0.658
0.613
0.635


Baseline: BM25
0.627
0.652
0.621
0.634


Wu Wei
0.624
0.648
0.609
0.627


Baseline: Recent
0.618
0.636
0.605
0.620
DOI: 10.5281/zenodo.16964766
title: Dataset for the ASE 2025 Challenge on Code Completion Context Collection Optimization

description: This dataset was used in the ASE 2025 Challenge on Code Completion Context Collection Optimization organized by JetBrains and Mistral AI. It includes the ground truth data and the associated repositories for all three phases: practice, public, and private. It also covers both tracks, Python and Kotlin. In addition, the dataset contains submitted solutions from the private phase as well as baseline solutions (BM25 and recent files) for further study.



Overall: 102 repositories, 1,746 revisions, and 1,764 completion points

Python: 47 points for Practice, 247 for Public, 394 for Private (total: 688 points from 52 repos)

Kotlin: 30 points for Practice, 400 for Public, 646 for Private (total: 1,076 points from 50 repos)
description: Python Track Results (Private Phase)




Team
Mellum
Codestral
Qwen
Average




NoMoreActimel
0.656
0.820
0.725
0.734


SpareCodeComplete
0.695
0.766
0.713
0.725


REALISE Lab
0.613
0.710
0.608
0.644


WSPR_NCSU
0.582
0.710
0.615
0.636


Baseline: BM25
0.585
0.659
0.585
0.610


SaNDwich&TEST
0.590
0.661
0.578
0.610


Baseline: Recent
0.576
0.657
0.587
0.606




Kotlin Track Results (Private Phase)




Team
Mellum
Codestral
Qwen
Average




SpareCodeComplete
0.723
0.769
0.753
0.748


NoMoreActimel
0.684
0.791
0.719
0.731


WSPR_NCSU
0.616
0.709
0.653
0.660


REALISE Lab
0.652
0.688
0.637
0.659


SaNDwich&TEST
0.633
0.658
0.613
0.635


Baseline: BM25
0.627
0.652
0.621
0.634


Wu Wei
0.624
0.648
0.609
0.627


Baseline: Recent
0.618
0.636
0.605
0.620
DOI: 10.5281/zenodo.16936115
title: Baseline Predictions for Stanford Sentiment Treebank (SST-5)

description: We obtained model predictions for the Stanford Sentiment Treebank benchmark (SST-5) from eight open-source baselines: dictionary-based methods VADER and TextBlob, traditional machine learning methods like logistic regression and support vector machine (SVM), fastText classifier, and deep learning classifiers: BERT and ELMo with Flair and fine-tuned BERT with Hugging Face.
DOI: 10.5281/zenodo.16936114
title: Baseline Predictions for Stanford Sentiment Treebank (SST-5)

description: We obtained model predictions for the Stanford Sentiment Treebank benchmark (SST-5) from eight open-source baselines: dictionary-based methods VADER and TextBlob, traditional machine learning methods like logistic regression and support vector machine (SVM), fastText classifier, and deep learning classifiers: BERT and ELMo with Flair and fine-tuned BERT with Hugging Face.
DOI: 10.6084/m9.figshare.30447968
title: LC-QTOF-MS Analysis Raw Data for the Phytochemical Profiling of the SF-AR Herb Pair

description: In this study, the phytochemical profile of the TCM herb pair <i>Sophorae Flavescentis Radix–Astragali Radix</i> (SF-AR) was systematically characterized. The characterization was performed using a high-performance liquid chromatography–quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) system. This dataset contains the analysis of the SF-AR herb pair extract, alongside analysis of the individual SF and AR extracts, which were used to determine the botanical origin of the characterized constituents.Raw data was acquired in both positive and negative electrospray ionization modes using an Agilent 1260 Infinity HPLC System coupled with a Sciex TripleTOF 5600<sup>+</sup> Quadrupole Time-of-Flight tandem mass spectrometer. The acquisition method combined TOF MS full scan and data-dependent CID fragmentation scans (IDA mode). Data processing and constituent identification were performed using Sciex PeakView<sup>®</sup> and MasterView™ software. The analytical strategy integrated in-house database matching, structural relevance filtering, and untargeted compound screening.This dataset provides a comprehensive chemical basis for the phytochemical profiling of the SF-AR herb pair, which is critical for linking its anti-hepatocellular carcinoma efficacy to its bioactive constituents. This repository stores the raw mass spectrometry data (.wiff and .wiffscan files) for the six analysis performed: SF-AR herb pair (positive and negative ion modes), SF alone (positive and negative ion modes), and AR alone (positive and negative ion modes). This resource is intended for the research community to validate the constituents identified in this study and to support further exploration of the herb pair's complex chemical composition.
DOI: 10.6084/m9.figshare.30447968.v1
title: LC-QTOF-MS Analysis Raw Data for the Phytochemical Profiling of the SF-AR Herb Pair

description: In this study, the phytochemical profile of the TCM herb pair <i>Sophorae Flavescentis Radix–Astragali Radix</i> (SF-AR) was systematically characterized. The characterization was performed using a high-performance liquid chromatography–quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) system. This dataset contains the analysis of the SF-AR herb pair extract, alongside analysis of the individual SF and AR extracts, which were used to determine the botanical origin of the characterized constituents.Raw data was acquired in both positive and negative electrospray ionization modes using an Agilent 1260 Infinity HPLC System coupled with a Sciex TripleTOF 5600<sup>+</sup> Quadrupole Time-of-Flight tandem mass spectrometer. The acquisition method combined TOF MS full scan and data-dependent CID fragmentation scans (IDA mode). Data processing and constituent identification were performed using Sciex PeakView<sup>®</sup> and MasterView™ software. The analytical strategy integrated in-house database matching, structural relevance filtering, and untargeted compound screening.This dataset provides a comprehensive chemical basis for the phytochemical profiling of the SF-AR herb pair, which is critical for linking its anti-hepatocellular carcinoma efficacy to its bioactive constituents. This repository stores the raw mass spectrometry data (.wiff and .wiffscan files) for the six analysis performed: SF-AR herb pair (positive and negative ion modes), SF alone (positive and negative ion modes), and AR alone (positive and negative ion modes). This resource is intended for the research community to validate the constituents identified in this study and to support further exploration of the herb pair's complex chemical composition.
DOI: 10.15468/dl.h5ujsh
title: Occurrence Download

description: A dataset containing 1683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Human Observation, Specimen)",
 "Geometry POLYGON((6.00382 51.99038,6.0088 51.98895,6.01544 51.99324,6.02241 51.99283,6.03237 51.99283,6.04232 51.99692,6.05062 52.00019,6.0566 52.00694,6.06125 52.01245,6.05461 52.02022,6.04598 52.02839,6.03934 52.03329,6.02374 52.03329,6.01245 52.03513,6.0078 52.03308,5.99983 52.03104,5.99353 52.0341,5.98622 52.03125,5.98202 52.02388,6.00382 51.99038))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Apidae, Vespidae)",
 "Year 2005-2025"
 ]
}

 The dataset includes 1683 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000877-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v3dspt
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Hylorina sylvatica"
 ]
}

 The dataset includes 183 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000878-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.