cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nfb6yk2m2f.1
title: Research data of soil characteristics and amino sugars

description: Research data of soil characteristics and amino sugars in three typical management measures across the soil profile (topsoil: 0–20 cm; subsoil: 140–200 cm) from a long-term experiment on Loess Plateau
DOI: 10.17632/69npjdfnzr.1
title: Light-induced programmable solid-to-liquid phase transition of biomolecular condensates for improved biosynthesis

description: The raw data and original western blot images of the manuscript.
DOI: 10.17632/652gky5pyc.1
title: SUPPLEMENTARY INFORMATION AND DATA for: Cambrian foreland phosphogenesis in the Khuvsgul Basin of Mongolia; Anttila et al., 2025.

description: SUPPLEMENTARY INFORMATION AND DATA for: Cambrian foreland phosphogenesis in the Khuvsgul Basin of Mongolia; Anttila et al., 2025.
DOI: 10.17632/vjfybwt9pr.1
title: Where do I go now? Migrants' anxiety, worry and disappointment at online racism in Chile

description: In the context of increasing human mobility and humanitarian crises in the region, new technologies are playing a relevant role in the governance of migration, with socio-emotional impacts that are decisive for integration. The question is: What are the characteristics and subjective effects of online hate speech towards migration in Chile? This paper used a mixed approach, which includes the application of 1020 questionnaires and 22 interviews with migrants in Chile during 2023. The results indicate that although Facebook and Instagram are the platforms with the highest exposure to hate speech towards migration, hostile messages emerge in the comments of negative news about migration in the media. It is also found that these expressions emphasize people's physical features and nationalities, thus constituting forms of racism, with Venezuelans (59%), Peruvians (62%) and Colombians (63%) being the most affected groups. The emotions most frequently experienced by migrants are anxiety, worry, and disappointment.
DOI: 10.17632/vnvkcs3kmw.1
title: Preference Signaling in Dermatology Residency: An Ethical Analysis

description: Supplemental Table for JAAD Manuscript: "Preference Signaling in Dermatology Residency: An Ethical Analysis."
DOI: 10.17632/tyjkswgs5p.1
title: Ecological data from Central spitsbergen_project No. 2021/41/B/ST10/03381

description: Raw ecological data connected with implementation of the research project No. 2021/41/B/ST10/03381 “Spatio-temporal patterns in Arctic tundra greening and browning—identification of key environmental factors (TURNING)”. Obtaining data should be done in agreement with the author.
DOI: 10.17632/cry42kr4sj.1
title: Supplementary File for Japanese Olive Oil Preferences

description: Supplementary file for Japanese Olive Oil Preferences
DOI: 10.17632/xvv5v7gznj.1
title: Data for 'The Critical Role of Non-Ideal Mixing on Dispersion of Gases in Porous Media'

description: This represents the output of the simulation cases that were discussed in the paper "The Critical Role of Non-Ideal Mixing on Gas Dispersion in Porous Media."
DOI: 10.17632/xvv5v7gznj.2
title: Implications of Non-Ideal Gas Dispersion for Underground Hydrogen Storage

description: This represents the output of the simulation and experimental cases that were discussed in the paper "Implications of Non-Ideal Gas Dispersion for Underground Hydrogen Storage."
DOI: 10.17632/xvv5v7gznj.3
title: Implications of Non-Ideal Gas Dispersion for Underground Hydrogen Storage

description: This represents the output of the simulation and experimental cases that were discussed in the paper "Implications of Non-Ideal Gas Dispersion for Underground Hydrogen Storage."
DOI: 10.17632/pybdtwxvzz.1
title: Motor compensations, not sensory errors, regulate serial dependence in naturalistic speech production

description: Data and Matlab codes for peer-review process.
DOI: 10.17632/xvv5v7gznj.4
title: Implications of Non-Ideal Gas Dispersion for Underground Hydrogen Storage

description: This represents the output of the experimental cases that were discussed in the paper "Implications of Non-Ideal Gas Dispersion for Underground Hydrogen Storage."
DOI: 10.17632/pybdtwxvzz.2
title: Motor compensations, not sensory errors, regulate serial dependence in naturalistic speech production

description: Data and Matlab codes for publication. Please note that the experiments 3a and 3b are identical only except that the sentences that participants produced are different. You can refer to the folder 'experiment 3b' for details.

If you find it confusing anywhere, please feel free to contact (E-mail: yl8625@nyu.edu). It is a powerful paradigm whose effects can be even found in a very small sample size (e.g., n = 5 in our pilot study), hope you enjoy.
DOI: 10.17632/vthfnz2ym6.1
title: Tables and appendices

description: This contains the Appendices and tables used in the study.
DOI: 10.17632/br6j5dnrb5
title: SOC accumulation in agroforestry upper soil is mainly regulated by microorganisms, while SOC reduction in lower soil is mainly related to soil minerals

description: This dataset contains the data required to analyses.
DOI: 10.17632/br6j5dnrb5.1
title: SOC accumulation in agroforestry upper soil is mainly regulated by microorganisms, while SOC reduction in lower soil is mainly related to soil minerals

description: This dataset contains the data required to analyses.
DOI: 10.17632/kctz3mrwgz.1
title: TrambaHLApan: a transformer and mamba-based neoantigen prediction method considering both antigen presentation and immunogenicity

description: Neoantigens represent ideal targets for tumor immunotherapy. This study introduces TrambaHLApan, a neoantigen prediction method that utilizes Transformer and Mamba models to consider both antigen presentation potential (TrambaHLApan-EL) and immunogenicity (TrambaHLApan-IM).

Data S1: Antigen presentation training set
Data S2: Immunogenicity training set
Data S3: SHERPA independent antigen presentation test dataset
Data S4: NetMHCpan independent antigen presentation test set
Data S5: Cancer neoantigen immunogenicity test set (GBM)
Data S6: Cancer neoantigen immunogenicity test set (MANAFEST)
fivefold_val_flags(DataS1): Five-fold cross-validation division file for DataS1
fivefold_val_flags(DataS2): Five-fold cross-validation division file for DataS2
DOI: 10.17632/kctz3mrwgz.2
title: TrambaHLApan: a transformer and mamba-based neoantigen prediction method considering both antigen presentation and immunogenicity

description: Neoantigens represent ideal targets for tumor immunotherapy. This study introduces TrambaHLApan, a neoantigen prediction method that utilizes Transformer and Mamba models to consider both antigen presentation potential (TrambaHLApan-EL) and immunogenicity (TrambaHLApan-IM).

Data S1: Antigen presentation training set
Data S2: Immunogenicity training set
Data S3: Allele24 independent antigen presentation test dataset
Data S4: Allele36 independent antigen presentation test set
Data S5: Cancer neoantigen immunogenicity test set (GBM)
Data S6: Cancer neoantigen immunogenicity test set (MANAFEST)
fivefold_val_flags(DataS1): Five-fold cross-validation division file for DataS1
fivefold_val_flags(DataS2): Five-fold cross-validation division file for DataS2
DOI: 10.17632/d7mrsx9hr9.1
title: Anurans in forests near cities in Peninsular Malaysia and Malaysian Borneo reflect the impact of 47 years of habitat disturbance on species’ diversity and relative fitness

description: The datasets include species occurrence and biodiversity data of anuran records from two geographically distinct forests: Ayer Hitam Forest Reserve (AHFR) in Peninsular Malaysia and Universiti Putra Malaysia Bintulu Campus (UPMBC) in Malaysian Borneo.This datasets provides valuable insights into species distribution, habitat preferences, and the effects of human disturbance on anuran populations in both forest near cities.
1. A total of 466 individuals from 39 species (6 families) in AHFR and 95 individuals from 24 species (7 families) in UPMBC.
2. Long-term species records: Historical data (1975–1999) integrated with multi-year surveys (2015–2019) in AHFR and a four-year survey (2005–2009) in UPMBC.

3. Sampling and environmental data included zones in AHFR categorized by disturbance level: protected, minimally disturbed, controlled, moderately disturbed, and disturbed. The UPMBC sampling zones categorised by planted forest, Nirwana Reserve Forest and campus forest. 
4. methods of surveys for anurans within both forests using nocturnal line transect surveys along trails and streams and quadrat sampling for forest floor species inventory.

5. Morphometric dataset composed of measurements of snout-vent length (SVL), tibia length (TL), and body condition index (BCI) for various species.
6. Comparative analysis of body size and condition between disturbed and protected zones in AHFR.
7. Interspecific comparisons of morphometric traits, focusing on Limnonectes ibanorum populations in AHFR and UPMBC.
8. Statistical and analytical methods include:
(i) PCA (Principal Component Analysis) for morphological trait correlations.
(ii) Regression-based body condition index calculation due to missing weight data.
(iii) Diversity indices to assess species richness, evenness, and abundance across zones.
DOI: 10.17632/z5wcdpc45g.1
title: Quantum-Enhanced Multi-Head Attention for Hybrid Classical-Quantum Neural Networks

description: This code integrates quantum-inspired computations into a deep learning pipeline to classify images from the CIFAR-10 dataset. It combines traditional neural network layers with a quantum multi-head attention mechanism, leveraging the capabilities of both classical and quantum approaches. The model utilizes PyTorch for defining and training the network, while Qiskit and Qiskit Aer simulate quantum circuits for the quantum-inspired components. The CIFAR-10 dataset is preprocessed using torchvision, with subsets created for efficient training and validation.

The quantum multi-head attention mechanism is implemented as a custom PyTorch autograd function, QuantumMultiHeadAttentionFunction. This function defines the forward and backward passes, where data is encoded into quantum circuits and parameter updates are computed using finite-difference approximation. The function relies on Z-expectation values of qubits, simulated using Qiskit Aer's statevector simulator. These computations are encapsulated in the QuantumMultiHeadAttentionLayer, which integrates seamlessly with PyTorch's module structure.

The core model, HybridAttentionCIFAR, consists of a combination of convolutional layers, a linear embedding layer, the quantum attention layer, and a fully connected output layer. The convolutional layers extract features from input images, which are then transformed into embeddings compatible with the quantum attention layer. The quantum attention mechanism processes these embeddings, enhancing feature representation, and the final fully connected layer maps the processed embeddings to class logits for classification.

The get_cifar_subset function prepares the CIFAR-10 data, creating small subsets for training and validation. These subsets are batched using PyTorch's DataLoader. The train_cifar_qattn function orchestrates the training process, configuring the model, optimizer, and loss function. Over multiple epochs, it computes training and validation losses and accuracies, updating model parameters using the Adam optimizer.
DOI: 10.17632/dtyrzxz7cw.1
title: Code and Data for "How Does Digital Technology Adoption Affect Corporate Employment? Evidence from China"

description: This dataset allows you to replicate all the processes in the article "How Does Digital Technology Adoption Affect Corporate Employment? Evidence from China." Please download the attached zip file, which contains the code and data used to reproduce this article. The code provides detailed documentation on the source of each table. If you have any questions, feel free to contact shixin0913@126.com.
DOI: 10.17632/nhjwh4srb3.1
title: Water-Agent-HistoricalWood

description: Here we deposit the raw data for the research of water interaction with the historical wood, including the measured original data of physical properties, X-ray scattering, N2 adsorption tests, FTIR, NMR and etc.
DOI: 10.17632/33cwyj933p.1
title: Dados Brutos Mestrado Raissa Barakatt

description: Ddaos brutos do Questionário dos Sintomas e do Questionário QoR40
DOI: 10.17632/686r3twz3x.1
title: MCRS-TR

description: Studies related to mindfulness in couple relationships are increasing. However, these studies tend to overlook the multi-dimensional component of mindfulness. The assessment of relational mindfulness with various components may provide important benefits for researchers and couples. The aim of this study was to adapt the multi-dimensional and context-specific the Mindfulness in Couple Relationships Scale to a Turkish sample and to test its psychometric properties. The research sample consists of 355 participants from Turkey. Participants’ age ranged from 18 to 63. The results of the confirmatory factor analysis confirm the eight-factor structure, which is consistent with the original scale. The MCRS demonstrated good internal consistency (α= .90; ω= .91). Correlation analysis indicated that the MCRS was positively related to trait mindfulness and relationship quality. The MCRS is a valid and reliable assessment tool in a Turkish sample to measure different components of mindfulness in couple relationships.
DOI: 10.17632/b4r8w6pjvz
title: PVSF

description: Clustering results
DOI: 10.17632/b4r8w6pjvz.1
title: PVSF

description: Clustering results
DOI: 10.17632/ffw8f8n6ym.1
title: The roles and signalling pathways of lncMALAT1 in coronary artery disease: A systematic review of in vivo and in vitro studies

description: Figure 1 PRISMA flow diagram for systematic reviews.
PRISMA : Preferred Reporting Items for Systematic Review and Meta-analysis

Figure 2. Transcription and expression of MALAT1 involved in CAD animal of in vivo model. The effects of MALAT1 deficiency, overexpression, and knockdown focus on upstream and downstream signalling pathways, cardiac function, vascular changes, and potential therapeutic targets were demonstrated. Blue represents MALAT1 deficiency. Red represents overexpression of MALAT1. Green represents MALAT1 knockdown. ↑ represents upregulate. ↓ represents downregulate. 

Figure 3. Transcription and expression of MALAT1 involved in CAD in vitro model. The presentation of MALAT1 overexpression and knockdown highlighted upstream and downstream signalling pathways, cell function, vascular changes, and potential therapeutic targets were summarized. Red represents overexpression of MALAT1. Green represents MALAT1 knockdown. ↑ represents upregulate. ↓ represents downregulate.
DOI: 10.17632/rv6tk5ydzw.1
title: Songpan meteorological data and Chuanzhusi highway slope in different aspects of soil erosion, organic carbon and soil properties.

description: The data set includes the meteorological data of Songpan from 2010 to 2020, the collation of rainfall data and the calculation of soil rainfall erosivity. Experimental data of soil organic carbon components, iron oxides, soil physical and chemical properties and soil erosion modulus in different slope positions of Pingsong Road.
DOI: 10.17632/nm4t8wxxr5
title: Ferromangenese sulfides immobilization thallium

description: Data processing in the experimental procedure of the paper 'Immobilization of thallium(I) using ferromanganese sulfides'
DOI: 10.17632/nm4t8wxxr5.1
title: Ferromangenese sulfides immobilization thallium

description: Data processing in the experimental procedure of the paper 'Immobilization of thallium(I) using ferromanganese sulfides'
DOI: 10.17632/t8sxbj4gpw.1
title: PacBio amplicon sequencing of Cordyceps species

description: Data of high-throughput ITS-D1/D2 LSU amplicon sequencing, using double barcodes.
DOI: 10.17632/t8sxbj4gpw.2
title: PacBio amplicon sequencing of Cordyceps species

description: Data of high-throughput ITS-D1/D2 LSU amplicon sequencing, using double barcodes.
DOI: 10.17632/t8sxbj4gpw.3
title: PacBio amplicon sequencing of Cordyceps species

description: Data of high-throughput ITS-D1/D2 LSU amplicon sequencing, using double barcodes.
DOI: 10.25949/27676269
title: HOPE Pilot Quantitative Raw Data (Feasibility, Appropriateness, Acceptability, Clinical Effectiveness Outcome measures)

description: The Hypermobile Online Pain managemEnt (HOPE) program was developed for people with painful hypermobility syndromes and was pilot tested in this present study. We conducted a pilot randomised controlled trial to assess Feasibility of Intervention Measure (FIM), Acceptability of Intervention Measure (AIM) and Intervention Appropriateness Measure (IAM) as well as clinical effectiveness outcomes including brief pain inventory, bristol impact of hypermobility, DASS, pain self-efficacy and global impression of change (see readme files for names of all questionnaires used). Outcomes were assessed using online surveys at baseline, post-treatment and 3-months post-treatment. Results showed that the HOPE program was feasible, acceptable and appropriate, with some improvements in pain and impact of hypermobility. A fully powered trial is warranted to further explore clinical effectiveness of the program.This is the raw data from this pilot randomised controlled trial of the "HOPE for hypermobile Ehlers-Danlos syndrome (hEDS) and hypermobility spectrum disorder (HSD) – A pilot randomized controlled trial of feasibility, acceptability and appropriateness" study. MQ HREC approval was gained (520231630154261) and the ANZCTR registration is ACTRN12623001323617.
DOI: 10.25949/28225172
title: HOPE Pilot Qualitative Interview Raw Data (Feasibility, Appropriateness, Acceptability)

description: This pain management program was a stakeholder informed intervention adopting the biopsychosocial pain approach for people with hypermobility syndromes experiencing pain. Program feasibility, acceptability and appropriateness here were evaluated qualitatively to understand participants' experiences and perceptions of the program. One-on-one semi-structured online interviews of participants were undertaken with data analysed using inductive thematic analysis. The overarching themes from the interviewed confirmed the results of the quantitative study, that is the HOPE program was considered feasible, acceptable and appropriate for people with hypermobility syndromes. Our study findings will be used to refine future iterations of the program, which could be retested through a fully powered trial.
DOI: 10.25949/28225172.v1
title: HOPE Pilot Qualitative Interview Raw Data (Feasibility, Appropriateness, Acceptability)

description: This pain management program was a stakeholder informed intervention adopting the biopsychosocial pain approach for people with hypermobility syndromes experiencing pain. Program feasibility, acceptability and appropriateness here were evaluated qualitatively to understand participants' experiences and perceptions of the program. One-on-one semi-structured online interviews of participants were undertaken with data analysed using inductive thematic analysis. The overarching themes from the interviewed confirmed the results of the quantitative study, that is the HOPE program was considered feasible, acceptable and appropriate for people with hypermobility syndromes. Our study findings will be used to refine future iterations of the program, which could be retested through a fully powered trial.
DOI: 10.6084/m9.figshare.28386434
title: SOC within the active layer.zip

description: Spatial distribution of SOC density within the active layer on the Tibetan Plateau (2016-2023).
DOI: 10.6084/m9.figshare.28386434.v1
title: SOC within the active layer.zip

description: Spatial distribution of SOC density within the active layer on the Tibetan Plateau (2016-2023).
DOI: 10.5281/zenodo.14847772
title: Metaverse Gait Authentication Dataset (MGAD)

description: This dataset contains gait-based biometric data collected from 5,000 users in a simulated environment for gait authentication in the Metaverse. It includes 16 key gait features extracted using OpenPose and MediaPipe and processed with feature engineering techniques for improved usability.

The dataset is valuable for gait-based authentication, user identification, and biometric security applications. It can be used for machine learning models, deep learning, and anomaly detection in gait recognition research.

Features include:



Stride length, step frequency, stance phase duration, swing phase duration

Hip, knee, and ankle joint angles

Ground reaction forces (GRFs), cadence variability, foot clearance

Gait symmetry index and more


Format: CSVLicense: CC BY 4.0 (Attribution Required)Citation: If using this dataset, please cite:Sandeep Ravikanti (2024). "Metaverse Gait Authentication Dataset (MGAD)." Zenodo. DOI: [10.5281/zenodo.14847773]
DOI: 10.5281/zenodo.14847773
title: Metaverse Gait Authentication Dataset (MGAD)

description: This dataset contains gait-based biometric data collected from 5,000 users in a simulated environment for gait authentication in the Metaverse. It includes 16 key gait features extracted using OpenPose and MediaPipe and processed with feature engineering techniques for improved usability.

The dataset is valuable for gait-based authentication, user identification, and biometric security applications. It can be used for machine learning models, deep learning, and anomaly detection in gait recognition research.

Features include:



Stride length, step frequency, stance phase duration, swing phase duration

Hip, knee, and ankle joint angles

Ground reaction forces (GRFs), cadence variability, foot clearance

Gait symmetry index and more


Format: CSVLicense: CC BY 4.0 (Attribution Required)Citation: If using this dataset, please cite:Sandeep Ravikanti (2024). "Metaverse Gait Authentication Dataset (MGAD)." Zenodo. DOI: [10.5281/zenodo.14847773]