cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18335555
title: Dataset for the 2025 Mw 7.7 Myanmar Earthquake: Geodetic Observations, Kinematic Slip, and Dynamic Rupture Models

description: This dataset corresponds to the study titled "Sediment-modulated supershear rupture of the 2025 Mw 7.7 Myanmar earthquake," published in Communications Earth & Environment, which presents the geodetic observations, kinematic slip, and dynamic rupture models for this event. (https://doi.org/10.1038/s43247-026-03232-5). 

Duyuan Xu,  Heng Luo, &  Houyun Yu et al. (2026). Sediment-modulated supershear rupture of the 2025 Mw 7.7 Myanmar earthquake. Communications Earth & Environment, https://doi.org/10.1038/s43247-026-03232-5.
DOI: 10.5281/zenodo.18336658
title: Accurate Surface and Interfacial Properties from Non-Empirical Range-Separated Dielectric-Dependent Hybrid Functional

description: Data for the paper 

Accurate Surface and Interfacial Properties from Non-Empirical Range-Separated Dielectric-Dependent Hybrid Functional
DOI: 10.5281/zenodo.18336659
title: Accurate Surface and Interfacial Properties from Non-Empirical Range-Separated Dielectric-Dependent Hybrid Functional

description: Data for the paper 

Accurate Surface and Interfacial Properties from Non-Empirical Range-Separated Dielectric-Dependent Hybrid Functional
DOI: 10.5281/zenodo.18336717
title: YOSHLARNI OILAGA TAYYORLASHNING PSIXOLOGIK OMILLARI

description: Ushbu maqolada yoshlarni oilaga tayyorlashning psixologik omillari bayon qilingan. Oila eng muqaddas maskandir. Uni qurishda eng avvalo, poydevorini mustahkam qilish darkor. Bugungi kunda yurtimizda oila psixologiyasi, yoshlarni oilaviy hayotga tayyorlash bo’yicha keng qamrovli ishlar olib borilmoqda. Shuningdek, maqolada o’smirlarda do’stlik, sevgi, yoqtirish hislari, nikoh va nikoh oldi munosabatlar, oiladagi er-xotin munosabatlari hamda oila xususida sharq mutafakkirlarining qarashlari muhokama qilingan.
DOI: 10.5281/zenodo.18336716
title: YOSHLARNI OILAGA TAYYORLASHNING PSIXOLOGIK OMILLARI

description: Ushbu maqolada yoshlarni oilaga tayyorlashning psixologik omillari bayon qilingan. Oila eng muqaddas maskandir. Uni qurishda eng avvalo, poydevorini mustahkam qilish darkor. Bugungi kunda yurtimizda oila psixologiyasi, yoshlarni oilaviy hayotga tayyorlash bo’yicha keng qamrovli ishlar olib borilmoqda. Shuningdek, maqolada o’smirlarda do’stlik, sevgi, yoqtirish hislari, nikoh va nikoh oldi munosabatlar, oiladagi er-xotin munosabatlari hamda oila xususida sharq mutafakkirlarining qarashlari muhokama qilingan.
DOI: 10.5281/zenodo.18336388
title: Training set of PSF from SPHERE-IRDIS

description: Datasets of PSF from VLT SPHERE-IRDIS instrument. Dedicated to machine learning, they are divided into training and test sets.There are in two different scales : whitened and log.

Three datasets are present : 



H2 and H3 filters from 2016 to 2017

H2 and H3 filters from 2016 to 2019

K1 and K2 filters from 2017 to 2019
DOI: 10.5281/zenodo.18336389
title: Training set of PSF from SPHERE-IRDIS

description: Datasets of PSF from VLT SPHERE-IRDIS instrument. Dedicated to machine learning, they are divided into training and test sets.There are in two different scales : whitened and log.

Three datasets are present : 



H2 and H3 filters from 2016 to 2017

H2 and H3 filters from 2016 to 2019

K1 and K2 filters from 2017 to 2019
DOI: 10.15468/dl.3zem2v
title: Occurrence Download

description: A dataset containing 82533 records in GBIF matching the query:
SELECT
 gbifid,
 datasetkey,
 occurrenceid,
 kingdom,
 phylum,
 class,
 "order",
 family,
 genus,
 species,
 infraspecificepithet,
 taxonrank,
 scientificname,
 behavior,
 countrycode,
 locality,
 stateprovince,
 occurrencestatus,
 individualcount,
 publishingorgkey,
 decimallatitude,
 decimallongitude,
 coordinateuncertaintyinmeters,
 coordinateprecision,
 elevation,
 elevationaccuracy,
 depth,
 depthaccuracy,
 eventdate,
 "day",
 "month",
 "year",
 taxonkey,
 specieskey,
 basisofrecord,
 institutioncode,
 collectioncode,
 catalognumber,
 recordnumber,
 identifiedby,
 dateidentified,
 license,
 rightsholder,
 recordedby,
 typestatus,
 establishmentmeans,
 mediatype,
 issue
FROM
 occurrence
WHERE
 occurrence.continent = 'EUROPE'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) IN (7901, 10501510, 7905, 7908, 7911, 4345, 7916) OR CAST(occurrence.acceptedtaxonkey AS INTEGER) IN (7901, 10501510, 7905, 7908, 7911, 4345, 7916) OR CAST(occurrence.kingdomkey AS INTEGER) IN (7901, 10501510, 7905, 7908, 7911, 4345, 7916) OR CAST(occurrence.phylumkey AS INTEGER) IN (7901, 10501510, 7905, 7908, 7911, 4345, 7916) OR CAST(occurrence.classkey AS INTEGER) IN (7901, 10501510, 7905, 7908, 7911, 4345, 7916) OR CAST(occurrence.orderkey AS INTEGER) IN (7901, 10501510, 7905, 7908, 7911, 4345, 7916) OR CAST(occurrence.familykey AS INTEGER) IN (7901, 10501510, 7905, 7908, 7911, 4345, 7916) OR CAST(occurrence.genuskey AS INTEGER) IN (7901, 10501510, 7905, 7908, 7911, 4345, 7916) OR CAST(occurrence.specieskey AS INTEGER) IN (7901, 10501510, 7905, 7908, 7911, 4345, 7916))
 AND occurrence.behavior IS NOT NULL

 The dataset's 82533 records were derived from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004702-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/82y2ysc64n
title: Perfil epidemiológico dos nascidos vivos na região Sudeste do Brasil entre 2019 e 2023

description: Banco de dados e análise descritiva do estudo Perfil epidemiológico dos nascidos vivos na região Sudeste do Brasil entre 2019 a 2023
DOI: 10.17632/82y2ysc64n.1
title: Perfil epidemiológico dos nascidos vivos na região Sudeste do Brasil entre 2019 e 2023

description: Banco de dados e análise descritiva do estudo Perfil epidemiológico dos nascidos vivos na região Sudeste do Brasil entre 2019 a 2023
DOI: 10.18419/darus-4185
title: Replication Code for: Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems

description: This dataset includes the code to reproduce the results from the paper titled "Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems". In this paper error bounds for randomized symplectic basis generation techniques are proven. The numerical experiments where error decay rates and runtimes from the randomized methods and the classical, non-randomized methods are compared can be reproduced using this code. See the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=293359"&gt;README&lt;/a&gt; for more information and installation instructions.
DOI: 10.17632/brx9bsxnpx.1
title: EPL Penalty Kick Data Recorded by a Computer Vision Model

description: The kicker_pose_keypoints.csv dataset contains frame-level 2D pose-tracking data for English Premier League penalty kicks from the 2023–24 season, extracted from standard broadcast footage using a reproducible YOLOv8 pose pipeline. Each observation corresponds to a single video frame sampled at 25 frames per second, spanning the run-up from the start of a penalty clip to the final frame at ball contact (marked by last_touch = 1). The dataset includes both identifying and outcome labels for each kick—such as kick_id, kick_direction (L/C/R), camera_direction, r_or_l (footedness), and goal—as well as tracking metadata (track_id) for the detected kicker. 

For each frame, the file records the smoothed bounding-box geometry (bbox_cx, bbox_cy, bbox_w, bbox_h) and 12 COCO body joints (shoulders through ankles; indices 5–16) as 2D pixel coordinates. Joint locations are provided in two coordinate systems: (1) absolute pixel positions in the image (kp_i_x, kp_i_y, origin at the top-left), and (2) box-centered coordinates (kp_i_xc, kp_i_yc) created by subtracting (bbox_cx, bbox_cy) to support cross-view comparison and normalization. Frames (or entire kicks) may be missing when the kicker cannot be cleanly tracked (e.g., occlusion or unstable detections), so some sequences have gaps. The released dataset contains 4,396 frames from 88 quality-controlled penalties from the season.
DOI: 10.17632/crgh2ynmzv
title: A Comprehensive Dataset for Context-Aware Security Monitoring for Anomaly Detection

description: This article describes a high-dimensional dataset designed for context-aware security monitoring and anomaly detection in digital transaction systems. The data encompasses 112 features, including transactional metadata, user behavioral patterns, and advanced technical telemetry (IP reputation, VPN detection, device fingerprinting, network security indicators). A unique aspect of this dataset is the integration of Large Language Model (LLM) outputs, providing risk scores and natural language reasoning for contextual security assessment. This dataset is particularly valuable for training machine learning models that require a hybrid approach, combining traditional tabular data with AI-generated contextual insights to identify security threats such as account takeover, suspicious behavioral patterns, and social engineering attacks across multiple digital channels.
DOI: 10.17632/crgh2ynmzv.2
title: A Comprehensive Dataset for Context-Aware Security Monitoring for Anomaly Detection

description: This article describes a high-dimensional dataset designed for context-aware security monitoring and anomaly detection in digital transaction systems. The data encompasses 112 features, including transactional metadata, user behavioral patterns, and advanced technical telemetry (IP reputation, VPN detection, device fingerprinting, network security indicators). A unique aspect of this dataset is the integration of Large Language Model (LLM) outputs, providing risk scores and natural language reasoning for contextual security assessment. This dataset is particularly valuable for training machine learning models that require a hybrid approach, combining traditional tabular data with AI-generated contextual insights to identify security threats such as account takeover, suspicious behavioral patterns, and social engineering attacks across multiple digital channels.
DOI: 10.5281/zenodo.17358331
title: CoCo in MLE Teams
DOI: 10.5281/zenodo.18254144
title: CoCo in MLE Teams
DOI: 10.17632/fdk624szg4
title: Replication materials_for_proposed_models_py

description: Replication materials_for_proposed_models_py.zip contains the source codes, synthetic data, a requirements.txt file, and a Readme.pdf file with detailed instructions for executing the code associated with the paper Bitcoin Volatility Modeling with Realized Measures and Jump Dynamics. The source codes are provided in .py format, the requirements.txt file specifies the required Python dependencies, and the Readme.pdf file describes the execution procedure.
DOI: 10.17632/fdk624szg4.4
title: Replication materials_for_proposed_models_py

description: Replication materials_for_proposed_models_py.zip contains the source codes, synthetic data, a requirements.txt file, and a Readme.pdf file with detailed instructions for executing the code associated with the paper Bitcoin Volatility Modeling with Realized Measures and Jump Dynamics. The source codes are provided in .py format, the requirements.txt file specifies the required Python dependencies, and the Readme.pdf file describes the execution procedure.
DOI: 10.17632/fdk624szg4.5
title: Replication materials_for_proposed_models_py

description: Replication materials_for_proposed_models_py.zip contains the source codes, synthetic data, a requirements.txt file, and a Readme.pdf file with detailed instructions for executing the code associated with the paper Bitcoin Volatility Modeling with Realized Measures and Jump Dynamics. The source codes are provided in .py format, the requirements.txt file specifies the required Python dependencies, and the Readme.pdf file describes the execution procedure.
DOI: 10.17632/62pgxgx4sb
title: 3D ECG dataset for QRS notch analysis in left bundle branch block

description: This dataset contains high-definition two-dimensional (2D) and three-dimensional (3D) electrocardiographic (ECG) figures from patients with left bundle branch block (LBBB) and from randomly selected normal control recordings, specifically curated for the analysis of QRS notching patterns. The dataset includes 2D ECG representations of six standard leads (I, aVL, V1, V2, V5, and V6) and corresponding 3D ECG spatial representations that enable the identification and characterization of notches not always apparent in conventional 2D ECG analysis.
All figures were generated using standardized preprocessing and visual assessment criteria, with color-coded temporal segmentation of the QRS complex based on predefined marker points. The dataset is intended to support reproducibility, methodological development, and comparative studies focused on notch detection and spatial QRS morphology in cardiovascular electrophysiology.
DOI: 10.17632/62pgxgx4sb.1
title: 3D ECG dataset for QRS notch analysis in left bundle branch block

description: This dataset contains high-definition two-dimensional (2D) and three-dimensional (3D) electrocardiographic (ECG) figures from patients with left bundle branch block (LBBB) and from randomly selected normal control recordings, specifically curated for the analysis of QRS notching patterns. The dataset includes 2D ECG representations of six standard leads (I, aVL, V1, V2, V5, and V6) and corresponding 3D ECG spatial representations that enable the identification and characterization of notches not always apparent in conventional 2D ECG analysis.
All figures were generated using standardized preprocessing and visual assessment criteria, with color-coded temporal segmentation of the QRS complex based on predefined marker points. The dataset is intended to support reproducibility, methodological development, and comparative studies focused on notch detection and spatial QRS morphology in cardiovascular electrophysiology.
DOI: 10.17632/hs9htv6jfh.1
title: An assessment of the effectiveness of support systems for managing post-disaster recovery of market fire victims in Ghana

description: The dataset is about the effectiveness of the available disaster support systems for market fire victims in Ghana. It provides data on the proportion of victims securing support from institutional and non-institutional sources, the types of support, duration for the support to be provided, and the effectiveness of the support towards their recovery
DOI: 10.17632/x49jkwrkmb
title: Deepfake_audio_detection

description: Deepfake Audio Detection Dataset
DOI: 10.17632/x49jkwrkmb.1
title: Deepfake_audio_detection

description: Deepfake Audio Detection Dataset
DOI: 10.17632/y7xz8kvk9m
title: Exploratory and confirmatory factor analysis for validating a work burnout inventory for university teachers in China

description: This study aims to develop an inventory for measuring burnout among university teachers. A total of 1,894 valid responses from 22 universities were analyzed. Exploratory factor analysis (EFA) identified three core dimensions of burnout: diminished research accomplishment, depersonalization, and emotional exhaustion. Factor loadings ranged from 0.641 to 0.846, with a cumulative variance contribution of 64.89%, indicating strong reliability and validity. Confirmatory factor analysis (CFA) confirmed that the three-factor model provided an excellent fit for the data. Importantly, the study revealed that teachers in Confucian cultural contexts might underestimate job burnout. This study contributes practical and theoretical insights for tuniversity eacher development.
DOI: 10.17632/y7xz8kvk9m.1
title: Exploratory and confirmatory factor analysis for validating a work burnout inventory for university teachers in China

description: This study aims to develop an inventory for measuring burnout among university teachers. A total of 1,894 valid responses from 22 universities were analyzed. Exploratory factor analysis (EFA) identified three core dimensions of burnout: diminished research accomplishment, depersonalization, and emotional exhaustion. Factor loadings ranged from 0.641 to 0.846, with a cumulative variance contribution of 64.89%, indicating strong reliability and validity. Confirmatory factor analysis (CFA) confirmed that the three-factor model provided an excellent fit for the data. Importantly, the study revealed that teachers in Confucian cultural contexts might underestimate job burnout. This study contributes practical and theoretical insights for tuniversity eacher development.
DOI: 10.17632/ycj443y3kc.1
title: N-linked glycosylation of GETV envelope proteins affect viral infection and pathogenicity

description: Getah virus (GETV) is an emerging mosquito-borne pathogen with a broad host range, posing a significant threat to livestock and public health. Although putative N-linked glycosylation sites on its envelope proteins have been reported, their precise functional roles remain uncharacterized. In this study, tunicamycin inhibition assays demonstrated that GETV replication depends on the host glycosylation machinery. Enzymatic dissection revealed that the envelope proteins E1 and E2 carry complex-type N-linked glycans, which are critical for infectivity. By constructing envelope protein N-linked glycosylation site mutants, it was revealed that the E1-N141 site influences viral entry, whereas the E2-N262 site was critical for both viral adsorption and invasion. Mutations at all envelope protein N-linked glycosylation sites impaired the infectivity of progeny virions, resulting in delayed replication kinetics and significantly reduced viral titers. In a suckling mouse model, all mutants showed attenuated pathogenicity, with the E2-N200 mutation conferring the most substantial reduction in virulence. Notably, despite reduced virulence, some mutants (E1-N141A and E2-N200A/N262A) elicited neutralizing antibody responses stronger than those induced by wild-type virus and provided complete protection against subsequent challenge with wild-type GETV. These findings highlight the critical role of envelope protein glycosylation in GETV infectivity and pathogenesis, providing a molecular basis for rational vaccine design.
DOI: 10.5281/zenodo.18336740
title: NEVROLOGIYA FANINI O'QITISHDA QO'LLANILADIGAN INTERAKTIV METODLARNING TURLARI VA ULARNING XUSUSIYATLARI

description: Tibbiy ta’lim tizimida nevrologiya fanini samarali o‘qitish masalasi so‘nggi o‘n yilliklarda kompetensiyaga yo‘naltirilgan yondashuv, klinik fikrlashni erta bosqichdan shakllantirish hamda bemor xavfsizligini ta’minlash talablari bilan yanada dolzarblashdi. Nevrologiya — anatomik-morfologik bilimlar, murakkab fiziologik mexanizmlar, klinik simptomatika va sindromologiya, shuningdek, diagnostika va davolash algoritmlarining integratsiyasiga tayanuvchi fan bo‘lib, unda “nazariy bilim” va “amaliy ko‘nikma” orasidagi uzilish o‘qitish samaradorligini keskin pasaytiradi.
DOI: 10.5281/zenodo.18336741
title: NEVROLOGIYA FANINI O'QITISHDA QO'LLANILADIGAN INTERAKTIV METODLARNING TURLARI VA ULARNING XUSUSIYATLARI

description: Tibbiy ta’lim tizimida nevrologiya fanini samarali o‘qitish masalasi so‘nggi o‘n yilliklarda kompetensiyaga yo‘naltirilgan yondashuv, klinik fikrlashni erta bosqichdan shakllantirish hamda bemor xavfsizligini ta’minlash talablari bilan yanada dolzarblashdi. Nevrologiya — anatomik-morfologik bilimlar, murakkab fiziologik mexanizmlar, klinik simptomatika va sindromologiya, shuningdek, diagnostika va davolash algoritmlarining integratsiyasiga tayanuvchi fan bo‘lib, unda “nazariy bilim” va “amaliy ko‘nikma” orasidagi uzilish o‘qitish samaradorligini keskin pasaytiradi.
DOI: 10.15468/dl.43g7fw
title: Occurrence Download

description: A dataset containing 615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Rhodothyrsus"
 ]
}

 The dataset includes 615 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004725-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26131/irsa620
title: Euclid Q1 PHZ Star SED Catalog

description: Euclid Quick Release 1 (Q1) consists of approximately 30 TB of imaging, spectroscopy, and catalogs covering four non-contiguous fields: Euclid Deep Field North (22.9 sq deg), Euclid Deep Field Fornax (12.1 sq deg), Euclid Deep Field South (28.1 sq deg), and LDN1641. Q1 data products include Level 1 raw VIS and NISP frames; Level 2 Calibrated VIS and NISP imaging data; Level 2 calibrated 2-D and 1-D spectra; Level 2 multiwavelength space- and ground-based mosaics; Level 2 catalogs of photometry, photometric redshifts, and spectroscopic measurements; and Level 3 visibility masks.

This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.15468/dl.449wgt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Myodes glareolus (Schreber, 1780))",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015826-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15578628
title: Assessing sewage sludge-made biochar and compochar (compost+biochar mix) as horticultural soilless growing media

description: While biochars are extensively used as soil amendments in regenerative agriculture, their use as a soilless growing media is less common. Particularly in horticulture, this use may enable crop production in harsh conditions, such as extreme air temperatures or high soil salinity. A soilless biochar-based growing media can replace conventional growing media, thereby minimizing their extraction and consequent severe damages to natural environments. Combining biochars with other biological or mineral non-charred materials may further improve medium quality. In this study, we assessed the use of biochar and compochar (a mix of biochar + compost) – both produced from human sewage sludge – as an alternative growing media for commercial tuff (tephra). We studied the productivity of lettuce and cherry tomato grown on three growing media, and investigated the chemical and biochemical properties of the media. Overall, both crop productivity and media quality were greater under biochar and compochar than these under the tuff. As such, the importance of this study stems from demonstrating the potential of using domestic sewage sludges to produce growing media that supports agronomic productivity, while decreasing the overall anthropogenic footprint on the environment.