cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17752511
title: Transcripts of interviews about museum climate

description: As part of the master's thesis on the implementation of an extended climate range in Swiss museums, interviews were conducted. Museum professionals from various fields were asked about their experiences with sustainable museum air-conditioning.
DOI: 10.5281/zenodo.17752512
title: Transcripts of interviews about museum climate

description: As part of the master's thesis on the implementation of an extended climate range in Swiss museums, interviews were conducted. Museum professionals from various fields were asked about their experiences with sustainable museum air-conditioning.
DOI: 10.6084/m9.figshare.30987067
title: Multi-objective electric vehicle-drone routing problem: Incorporating a multi-factor energy consumption model

description: This is the experimental data of the manuscript entitled "Multi-objective electric vehicle-drone routing problem: Incorporating a multi-factor energy consumption model".
DOI: 10.6084/m9.figshare.30987067.v1
title: Multi-objective electric vehicle-drone routing problem: Incorporating a multi-factor energy consumption model

description: This is the experimental data of the manuscript entitled "Multi-objective electric vehicle-drone routing problem: Incorporating a multi-factor energy consumption model".
DOI: 10.3886/e242254
title: Federal University of Education Kontagora 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Federal University of Education Kontagora 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.15468/dl.bmqm2n
title: Occurrence Download

description: A dataset containing 528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus euphratica"
 ]
}

 The dataset includes 528 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070946-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242255
title: University of Maritime Studies, Oron 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: University of Maritime Studies, Oron 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.3886/e242256
title: Federal University of Applied Sciences, Kachia 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Federal University of Applied Sciences, Kachia 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.5281/zenodo.18130643
title: enteromius_miolepis_spades_01.fasta.gz
DOI: 10.5281/zenodo.18130644
title: enteromius_miolepis_spades_01.fasta.gz
DOI: 10.17632/93xtw38zjs.1
title: Vitamin B3 derivatives support pancreatic cancer cell survival and chemotherapy resistance
DOI: 10.5281/zenodo.18130777
title: dipsas_pavonina_spades_01.fasta.gz
DOI: 10.5281/zenodo.18130778
title: dipsas_pavonina_spades_01.fasta.gz
DOI: 10.17632/s4pmywvwbc
title: Dataset Multi Braille Characters

description: This dataset contains a collection of Braille character images (Multi-Braille Characters) designed to support the development of pattern recognition systems.
Dataset Details:
Contents: A collection of single and combined (multi-character) Braille character images.
Format: Images in .jpg format, both unlabeled and with appropriate labels.
Source: Data obtained through scanning Braille books and data augmentation.
DOI: 10.17632/s4pmywvwbc.1
title: Dataset Multi Braille Characters

description: This dataset contains a collection of Braille character images (Multi-Braille Characters) designed to support the development of pattern recognition systems.
Dataset Details:
Contents: A collection of single and combined (multi-character) Braille character images.
Format: Images in .jpg format, both unlabeled and with appropriate labels.
Source: Data obtained through scanning Braille books and data augmentation.
DOI: 10.17632/74y6h874ff
title: Metal Data of Qilu Lake

description: Metal Data of Qilu Lake
DOI: 10.6084/m9.figshare.30985417
title: IFAM_Yorkshire_Pig_Datasets

description: This dataset contains genotype and phenotype data from Yorkshire pigs, along with a list of SNPs within functional annotations from the IFmut database.
DOI: 10.6084/m9.figshare.30985417.v4
title: IFAM_Yorkshire_Pig_Datasets

description: This dataset contains genotype and phenotype data from Yorkshire pigs, along with a list of SNPs within functional annotations from the IFmut database.
DOI: 10.17632/74y6h874ff.1
title: Metal Data of Qilu Lake

description: Metal Data of Qilu Lake
DOI: 10.6084/m9.figshare.30985417.v3
title: IFAM_Yorkshire_Pig_Datasets

description: This dataset contains genotype and phenotype data from Yorkshire pigs, along with a list of SNPs within functional annotations from the IFmut database.
DOI: 10.3886/e242257
title: Tai Solarin Federal University of Education 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Tai Solarin Federal University of Education 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.3886/e242258
title: Federal University of Agriculture and Developmental Studies, Iragbuji 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Federal University of Agriculture and Developmental Studies, Iragbuji 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.17632/yjdfnymgf2
title: Audio Dataset of Traditional Portuguese Musical Instruments

description: DESCRIPTION: This dataset is a curated and annotated audio dataset designed specifically for Music Information Retrieval (MIR) tasks in low-resource contexts and for the preservation of intangible cultural heritage. The dataset is derived from the initiative ‘A Música Portuguesa a Gostar Dela Própria’, an extensive ethnographic video library dedicated to documenting Portugal's oral and musical traditions.

The corpus contains audio clips of seven instruments representative of various Portuguese regions, including string instruments (Portuguese guitar, Viola Braguesa), woodwind instruments (Pífaro, Gaita de Foles, Saxophone) and free-reed instruments (Concertina, Harmonica).

Unlike traditional study datasets, this is characterised by its nature (field recordings). The samples present uncontrolled acoustic conditions, including natural reverberation, ambient noise and variability in microphone distance, which provides high validity for evaluating the robustness of deep learning models.

DATASET STATISTICS: The dataset consists of 1,734 audio files (WAV) with the following class distribution:
- Concertina: 419 samples
- Harmonica (Armónica): 407 samples
- Portuguese Bagpipes (Gaita de Foles): 375 samples
- Saxophone (Saxofone): 190 samples
- Portuguese Guitar (Guitarra Portuguesa): 160 samples
- Viola Braguesa: 92 samples
- Pífaro: 91 samples

METADATA STRUCTURE: The accompanying CSV file contains the following columns:
- filename: Name of the audio file.
- target: Numeric class identifier (0-6).
- category: Instrument name (label).
- take: Unique recording session identifier. (Note: It is highly recommended to use this field for take-stratified splitting to prevent data leakage between sets).
DOI: 10.17632/yjdfnymgf2.1
title: Audio Dataset of Traditional Portuguese Musical Instruments

description: DESCRIPTION: This dataset is a curated and annotated audio dataset designed specifically for Music Information Retrieval (MIR) tasks in low-resource contexts and for the preservation of intangible cultural heritage. The dataset is derived from the initiative ‘A Música Portuguesa a Gostar Dela Própria’, an extensive ethnographic video library dedicated to documenting Portugal's oral and musical traditions.

The corpus contains audio clips of seven instruments representative of various Portuguese regions, including string instruments (Portuguese guitar, Viola Braguesa), woodwind instruments (Pífaro, Gaita de Foles, Saxophone) and free-reed instruments (Concertina, Harmonica).

Unlike traditional study datasets, this is characterised by its nature (field recordings). The samples present uncontrolled acoustic conditions, including natural reverberation, ambient noise and variability in microphone distance, which provides high validity for evaluating the robustness of deep learning models.

DATASET STATISTICS: The dataset consists of 1,734 audio files (WAV) with the following class distribution:
- Concertina: 419 samples
- Harmonica (Armónica): 407 samples
- Portuguese Bagpipes (Gaita de Foles): 375 samples
- Saxophone (Saxofone): 190 samples
- Portuguese Guitar (Guitarra Portuguesa): 160 samples
- Viola Braguesa: 92 samples
- Pífaro: 91 samples

METADATA STRUCTURE: The accompanying CSV file contains the following columns:
- filename: Name of the audio file.
- target: Numeric class identifier (0-6).
- category: Instrument name (label).
- take: Unique recording session identifier. (Note: It is highly recommended to use this field for take-stratified splitting to prevent data leakage between sets).
DOI: 10.17632/mmwvpb42y6
title: The application effect of IVR for the gynecological patients

description: This dataset includes the application effects of IVR technology in gynecological surgery.
DOI: 10.17632/mmwvpb42y6.3
title: The application effect of IVR for the gynecological patients

description: This dataset includes the application effects of IVR technology in gynecological surgery.
DOI: 10.5281/zenodo.18130472
title: CompRep: A Dataset For Computational Reproducibility

description: This curated benchmark dataset supports the evaluation and comparison of computational reproducibility tools. It comprises 18 successfully reproduced experiments from diverse scientific domains, including software engineering, AI, climate science, medical research, and economics. Each experiment package includes code, data, and comprehensive reproducibility instructions, standardized to facilitate consistent re-execution. This dataset aims to serve as a universal benchmark for researchers and practitioners working on scientific reproducibility.
DOI: 10.17632/4hh67syp8t
title: Tests

description: All different types of tests
DOI: 10.17632/4hh67syp8t.1
title: Tests

description: All different types of tests
DOI: 10.15468/dl.wr3gsd
title: Occurrence Download

description: A dataset containing 554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pennisetum glaucum"
 ]
}

 The dataset includes 554 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070947-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242259
title: Federal University of Technology and Environmental Studies, Iyin-Ekiti 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Federal University of Technology and Environmental Studies, Iyin-Ekiti 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.5281/zenodo.18130868
title: doriopsilla_bertschi_spades_01.fasta.gz
DOI: 10.5281/zenodo.18130867
title: doriopsilla_bertschi_spades_01.fasta.gz
DOI: 10.5281/zenodo.17314054
title: Fast kinetics of graphite anodes through interface and bulk engineering: a review

description: OPEN ACCESS TO READ (NOT CC BY LICENSE)

Liu, X., Shi, Q., Lu, C. et al. Fast kinetics of graphite anodes through interface and bulk engineering: a review. Sci. China Mater. 68, 3409–3424 (2025). https://doi.org/10.1007/s40843-025-3482-2

Dataset description:

Only metadata for the review paper above, as it is Open Access TO READ (not to share), it is not CC BY licence, Copyright(C) 2025 SCIENCE CHINA MATERIALS (Springer Nature). Although the EBEAM project funded by the EU is acknowledged among other funding sources, the project data manager and the data steward cannot upload any research data relevant to this paper that should be shared via a trusted repository, nonetheless. If the ERA Chair (contact person) changes the license, it will be included as a higher version on ZENODO. Furthermore, it has not transferred any research data for this Chinese research.
DOI: 10.5281/zenodo.17314055
title: Fast kinetics of graphite anodes through interface and bulk engineering: a review

description: OPEN ACCESS TO READ (NOT CC BY LICENSE)

Liu, X., Shi, Q., Lu, C. et al. Fast kinetics of graphite anodes through interface and bulk engineering: a review. Sci. China Mater. 68, 3409–3424 (2025). https://doi.org/10.1007/s40843-025-3482-2

Dataset description:

Only metadata for the review paper above, as it is Open Access TO READ (not to share), it is not CC BY licence, Copyright(C) 2025 SCIENCE CHINA MATERIALS (Springer Nature). Although the EBEAM project funded by the EU is acknowledged among other funding sources, the project data manager and the data steward cannot upload any research data relevant to this paper that should be shared via a trusted repository, nonetheless. If the ERA Chair (contact person) changes the license, it will be included as a higher version on ZENODO. Furthermore, it has not transferred any research data for this Chinese research.
DOI: 10.3886/e242260
title: Abia State University, Uturu 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Abia State University, Uturu 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.6084/m9.figshare.30987058
title: <b>ESG Disclosure Quality and Firm Valuation</b>

description: <b>ESG Disclosure Quality and Firm Valuation </b>under EPU analysis
DOI: 10.6084/m9.figshare.30987058.v1
title: <b>ESG Disclosure Quality and Firm Valuation</b>

description: <b>ESG Disclosure Quality and Firm Valuation </b>under EPU analysis
DOI: 10.15468/dl.6t3yqc
title: Occurrence Download

description: A dataset containing 88709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.15.7_1",
 "OccurrenceStatus is Present",
 "Year 2021-2026"
 ]
}

 The dataset includes 88709 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070940-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.np9q2e
title: Occurrence Download

description: A dataset containing 79204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grus americana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 79204 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070944-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242261
title: Adekunle Ajasin University, Akungba 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Adekunle Ajasin University, Akungba 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.15468/dl.dvew9f
title: Occurrence Download

description: A dataset containing 528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus euphratica"
 ]
}

 The dataset includes 528 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070949-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8btptz
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasGeospatialIssue is false",
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Campanula creutzburgii"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070950-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18130917
title: enteromius_vanderysti_spades_01.fasta.gz
DOI: 10.5281/zenodo.18130918
title: enteromius_vanderysti_spades_01.fasta.gz
DOI: 10.17632/bg83nkprsp
title: 2022南海冷泉CDOM

description: 2022年南海F冷泉沉积物，间隙水，上覆水及水体中有机碳及CDOM数据
DOI: 10.17632/bg83nkprsp.1
title: 2022南海冷泉CDOM

description: 2022年南海F冷泉沉积物，间隙水，上覆水及水体中有机碳及CDOM数据
DOI: 10.17632/rgb77xm3jf.3
title: LSS MRI AISSLab Dataset: Medical Spine Sagittal MRI Dataset for Segmentation and Foraminal Stenosis detection

description: ☐ Dataset:
● The LSS MRI AISSLab Dataset is a comprehensive sagittal lumbar spine MRI collection containing 500 patients with fully curated imaging data, expert clinical annotations, and detailed anatomical segmentation masks for the scientifc purpose (noncommercial). 
● This dataset was approved by the Institutional Review Board (IRB) and clinically validated by neurosurgeons from the Fırat University Non-Interventional Research Ethics Committee (session number: 2023/12-20; session date: 14.09.2023). The dataset consists of 8,500 sagittal lumbar spine MRI slices and 2,979 expert-verified bounding-box annotations describing foraminal stenosis across the five lumbar levels (L1–L2 through L5–S1). 
● A total of 1,396 right foraminal stenosis (RFS) and 1,583 left foraminal stenosis (LFS) regions were annotated. Each annotation specifies the lumbar level, anatomical side, and clinically assigned stenosis grade (Normal, Mild, Moderate, Severe). 
● The stenosis severity distribution demonstrates a predominance of early-stage findings, consisting of Normal (67.45%), Mild (17.06%), Moderate (8.53%), and Severe (6.99%) cases. 
● The dataset provides also the expert-refined segmentation masks on the middle sagittal slice for key anatomical structures, including vertebrae, intervertebral discs (IVDs), sacrum, posterior A, posterior B, and the anterior background region. These masks were generated through a combined automated-and-manual refinement workflow and reviewed by neurologists to ensure anatomical accuracy. 
● The dataset is organized into three components: (1) full sagittal DICOM series for each patient; (2) middle-slice images accompanied by pixel-level masks in PNG/XML format; and (3) full-slice PNG images with corresponding stenosis annotations when visible. 

☐ ACKNOWLEDGMENT: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. RS-2023-00256517) and by the TUBITAK (The Scientific and Technological research Council of Turkey) under Grant Number: 123N325. This work was supported by the IITP(Institute of Information & Communications Technology Planning & Evaluation)-ITRC(Information Technology Research Center) grant funded by the Korea government (Ministry of Science and ICT) (IITP-2025-RS-2024-00437191).

☐ Please cite these articles:
[1] Salem, Saied, Afnan Habib, Mukhlis Raza, Zaid Al-Huda, Omar Al-maqtari, Bilal Ertuğrul, Özal Yıldırım, Yeong Hyeon Gu, and Mugahed A. Al-antari. "AutoSpineAI: Lightweight Multimodal CAD Framework for Lumbar Spine MRI Assessments." In IEEE-EMBS International Conference on Biomedical and Health Informatics 2025.

[2] Al-Antari, Mugahed A., Saied Salem, Mukhlis Raza, Ahmed S. Elbadawy, Ertan Bütün, Ahmet Arif Aydin, Murat Aydoğan, Bilal Ertuğrul, Muhammed Talo, and Yeong Hyeon Gu. "Evaluating AI-powered predictive solutions for MRI in lumbar spinal stenosis: a systematic review." Artificial Intelligence Review 58, no. 8 (2025): 221.
DOI: 10.17632/zyr87tzk9c.1
title: Prediction of Design Dependency of Nested Lattice Structures Through Machine Learning Models - Excel Files, Word File, STL Files, and FEA Data

description: 1. The excel data files contain the stress vs. strain response of different nested lattice structures
2. The excel data files containing the tensile testing of dogbone samples
3. The .STL files of the nested lattice structures
4. The word file contains the machine learning algorithms: MLP, GBR, and GPR source codes
5. FEA videos of the samples
DOI: 10.17632/fyt8njd8gy
title: Los Angeles crime dataset

description: 2020 Los Angeles crime dataset
DOI: 10.17632/fyt8njd8gy.1
title: Los Angeles crime dataset

description: 2020 Los Angeles crime dataset
DOI: 10.17632/5ryffjkfjf
title: Global Energy-related Uncertainty and Energy Tokens

description: This data set is used for the study Global Energy-related Uncertainty and Energy Tokens: A Wavelet Coherence Analysis,
DOI: 10.17632/5ryffjkfjf.1
title: Global Energy-related Uncertainty and Energy Tokens

description: This data set is used for the study Global Energy-related Uncertainty and Energy Tokens: A Wavelet Coherence Analysis,
DOI: 10.17632/y54kzc6mzn
title: Test dataset for: An algorithm designed for rapid automated cardiac data processing: integrating autocorrelation, a genetic algorithm and a tracking index

description: This is a test dataset for users to try out the algorithm of the associated manuscript. The codes and a step-by-step user guide can be accessed via the GitHub repository.
DOI: 10.17632/y54kzc6mzn.1
title: Test dataset for: An algorithm designed for rapid automated cardiac data processing: integrating autocorrelation, a genetic algorithm and a tracking index

description: This is a test dataset for users to try out the algorithm of the associated manuscript. The codes and a step-by-step user guide can be accessed via the GitHub repository.
DOI: 10.17632/cg3gk2yfzv
title: Carbonic anhydrase traced by Cd isotope fractionations in Archean to Holocene stromatolitic carbonates V.2

description: trace element and C-O-Cd isotopic data of stromatolitic carbonates of W. Australia
DOI: 10.5281/zenodo.18100773
title: Machine-Precision Prediction of Low-Dimensional Chaotic Systems from Noise-Free Data

description: This repository contains the data (data.zip) and code (workspace.zip) from the article Machine-Precision Prediction of Low-Dimensional Chaotic Systems from Noise-Free Data by Christof Schötz and Niklas Boers (arxiv.org/abs/2507.09652). See README.md for details. The code is additionally availble at github.com/chroetz/PolyProp.
DOI: 10.17632/cg3gk2yfzv.2
title: Carbonic anhydrase traced by Cd isotope fractionations in Archean to Holocene stromatolitic carbonates V.2

description: trace element and C-O-Cd isotopic data of stromatolitic carbonates of W. Australia