cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/r2mnkjfmh3.1
title: Multi-task synthetic dataset

description: A synthetic dataset collection designed for evaluating multi-task learning and transfer learning algorithms under both regression and binary classification settings. It consists of 100 independently generated batches, each initialized with distinct random seeds to promote diversity across tasks. Every batch contains 10 tasks (including two designated outliers), with 300 training and 1,000 test instances per task distributed across five input features. The dataset ensures balanced class representation and controlled task variation through a weighting parameter of w = 0.9.
DOI: 10.5281/zenodo.17340440
title: Supplementary Data for the manuscript entitled "Rise of Modern Marine Fishes Captured in an Early Paleocene Lagerstätte"

description: This ZIP file contains two R scripts and three datasets in CSV format linked to the manuscript entitled "Rise of Modern Marine Fishes Captured in an Early Paleocene Lagerstätte"
DOI: 10.17632/23phgyt3mt
title: A Dataset for Moroccan Sign Language (MoSL)

description: The MoSL (Moroccan Sign Language) dataset consists of 2,199 videos representing isolated Moroccan Sign Language (MoSL) signs. The dataset includes a wide range of basic vocabulary categories such as the alphabet, numbers, pronouns, days of the week, months, seasons, and common expressions used in daily communication.
The videos were provided by the Shorouk Association for the Deaf and Hard of Hearing in Ouarzazate, Morocco. They were carefully selected based on several criteria: clarity of signing, inclusion of Arabic subtitles, accurate representation of Moroccan Sign Language, and diversity among signers, encompassing both male and female participants.
Each video is labeled with its corresponding Arabic subtitle, ensuring a clear mapping between the sign and its written meaning. The dataset serves as a valuable resource for automatic sign language recognition and translation research, particularly for the Moroccan dialect of Arabic Sign Language.
DOI: 10.17632/23phgyt3mt.1
title: A Dataset for Moroccan Sign Language (MoSL)

description: The MoSL (Moroccan Sign Language) dataset consists of 2,199 videos representing isolated Moroccan Sign Language (MoSL) signs. The dataset includes a wide range of basic vocabulary categories such as the alphabet, numbers, pronouns, days of the week, months, seasons, and common expressions used in daily communication.
The videos were provided by the Shorouk Association for the Deaf and Hard of Hearing in Ouarzazate, Morocco. They were carefully selected based on several criteria: clarity of signing, inclusion of Arabic subtitles, accurate representation of Moroccan Sign Language, and diversity among signers, encompassing both male and female participants.
Each video is labeled with its corresponding Arabic subtitle, ensuring a clear mapping between the sign and its written meaning. The dataset serves as a valuable resource for automatic sign language recognition and translation research, particularly for the Moroccan dialect of Arabic Sign Language.
DOI: 10.5281/zenodo.17340496
title: Hand-like Autonomous Flying Robot for Airborne Grasping and Interaction
DOI: 10.17632/jv66myckk5
title: Amient noise cross-correlation function data from the Baihetan Reservoir

description: Fifteen short-period seismometers were deployed in the Baihetan area, and continuous data were collected from April to November 2023. We computed daily cross-correlation functions for each station pair, applied a 15-day moving average and quality screening, and ultimately retained daily cross-correlation results for 72 station pairs. This dataset provides these cross-correlation results.
DOI: 10.5281/zenodo.17340495
title: Hand-like Autonomous Flying Robot for Airborne Grasping and Interaction
DOI: 10.17632/jv66myckk5.1
title: Amient noise cross-correlation function data from the Baihetan Reservoir

description: Fifteen short-period seismometers were deployed in the Baihetan area, and continuous data were collected from April to November 2023. We computed daily cross-correlation functions for each station pair, applied a 15-day moving average and quality screening, and ultimately retained daily cross-correlation results for 72 station pairs. This dataset provides these cross-correlation results.
DOI: 10.5281/zenodo.15254639
title: Data for "quantification of dissipation in a multilevel Electromagnetically-Induced-Transparency system"
DOI: 10.5281/zenodo.17191754
title: Data for "quantification of dissipation in a multilevel Electromagnetically-Induced-Transparency system"
DOI: 10.17632/8w3yfggh24
title: Which Score Best Predicts New Onset AF After Primary PCI in STEMI? Head-to-head Assessment of Four Algorithms

description: Raw data
DOI: 10.17632/8w3yfggh24.1
title: Which Score Best Predicts New Onset AF After Primary PCI in STEMI? Head-to-head Assessment of Four Algorithms

description: Raw data
DOI: 10.17632/g4g9bv4zz4.1
title: In vivo efficacy assessment in mice

description: An in vivo mouse study investigated the effects of of E. faecium 140623 on gut microbiota composition, short-chain fatty acid (SCFA) production, and bile acid (BA) metabolism.
DOI: 10.17632/rkzgvh5yy6
title: Diversity of garden flowers and gardeners’ objectives and practices in the south-west suburbs of Paris

description: The attached dataset was used in a study published in Landscape and Urban Planning (Collard et al., 2026), which investigates potential synergies and conflicts between two major objectives in domestic gardens: wild biodiversity conservation and vegetable production. Our hypothesis is that the practice of vegetable gardening engages gardeners in a relationship with living organisms, which could influence, positively or negatively, their perceptions about wild species and their garden, their decision to adopt more conservative or agroecological practices to manage vegetated areas, and consequently, the wild biodiversity found in their garden. 
Full details of the methodology are provided in the Materials and Methods section of that article.
This dataset originates from a small-scale survey along with the ecological monitoring of domestic gardens located in a suburban area near Paris and provides detailed information on gardeners attitude towards biodiversity conservation and vegetable garden production, gardeners’ commitment to their garden and nature, gardeners’ practices, garden composition and flower diversity.
The suburban area studied is located in the Île-de-France region, encompassing three suburban towns: Palaiseau, Bures-sur-Yvette, and Orsay. The area shares a relatively homogeneous biotic and abiotic context, including similar soil types, weather conditions, and species pools. A total of 31 gardens were selected, including 16 with vegetable plots and 15 without. Recruitment was carried out in two stages:
- Environmental organisation recruitment: 22 gardeners were identified via local environmental associations. These gardens were expected to be more biodiversity-friendly, with fewer areas lacking vegetation and more flowerbeds.
- Supplementary recruitment: To balance the sample, an additional 9 gardens were selected using satellite imagery and door-to-door canvassing. These gardens tended to have more lawns, fewer flowerbeds, and more conventional, intensive practices.
All gardens were private, adjacent to the residence, and tended at least in part by the residents themselves.

Collard, B., Dutertre, Q., Baudry, E., 2026. Growing vegetables: A gateway to biodiversity in domestic gardens? Landscape and Urban Planning 265, 105520. https://doi.org/10.1016/j.landurbplan.2025.105520
DOI: 10.17632/rkzgvh5yy6.1
title: Diversity of garden flowers and gardeners’ objectives and practices in the south-west suburbs of Paris

description: The attached dataset was used in a study published in Landscape and Urban Planning (Collard et al., 2026), which investigates potential synergies and conflicts between two major objectives in domestic gardens: wild biodiversity conservation and vegetable production. Our hypothesis is that the practice of vegetable gardening engages gardeners in a relationship with living organisms, which could influence, positively or negatively, their perceptions about wild species and their garden, their decision to adopt more conservative or agroecological practices to manage vegetated areas, and consequently, the wild biodiversity found in their garden. 
Full details of the methodology are provided in the Materials and Methods section of that article.
This dataset originates from a small-scale survey along with the ecological monitoring of domestic gardens located in a suburban area near Paris and provides detailed information on gardeners attitude towards biodiversity conservation and vegetable garden production, gardeners’ commitment to their garden and nature, gardeners’ practices, garden composition and flower diversity.
The suburban area studied is located in the Île-de-France region, encompassing three suburban towns: Palaiseau, Bures-sur-Yvette, and Orsay. The area shares a relatively homogeneous biotic and abiotic context, including similar soil types, weather conditions, and species pools. A total of 31 gardens were selected, including 16 with vegetable plots and 15 without. Recruitment was carried out in two stages:
- Environmental organisation recruitment: 22 gardeners were identified via local environmental associations. These gardens were expected to be more biodiversity-friendly, with fewer areas lacking vegetation and more flowerbeds.
- Supplementary recruitment: To balance the sample, an additional 9 gardens were selected using satellite imagery and door-to-door canvassing. These gardens tended to have more lawns, fewer flowerbeds, and more conventional, intensive practices.
All gardens were private, adjacent to the residence, and tended at least in part by the residents themselves.

Collard, B., Dutertre, Q., Baudry, E., 2026. Growing vegetables: A gateway to biodiversity in domestic gardens? Landscape and Urban Planning 265, 105520. https://doi.org/10.1016/j.landurbplan.2025.105520
DOI: 10.17632/m3wgkyspjy
title: Garden composition and French gardeners’ objectives and practices in 2022

description: The attached dataset was used in the study currently in press with Landscape and Urban Planning (Collard et al., 2026), which investigates potential synergies and conflicts between two major objectives in domestic gardens: wild biodiversity conservation and vegetable production. Our hypothesis is that the practice of vegetable gardening engages gardeners in a relationship with living organisms, which could influence, positively or negatively, their perceptions about wild species and their garden, their decision to adopt more conservative or agroecological practices to manage vegetated areas, and consequently, the wild biodiversity found in their garden.
Full details of the methodology are provided in the Materials and Methods section of that article.
This dataset originates from a nationwide online questionnaire conducted on a large sample of French gardeners and provides detailed information on gardeners attitude towards biodiversity conservation and vegetable garden production, gardeners’ commitment to their garden and nature and gardeners’ practices. The survey was carried out by Dynata, a professional organisation specialising in survey research. Respondents were recruited from Dynata’s existing national panel of French citizens aged 18 years and older. To ensure representativeness, the sample was stratified by sex, age, socio-economic category, and geographical location, reflecting the proportions of the French adult population.
A total of 1,000 individuals were recruited, of whom 795 met the inclusion criteria: having a private garden adjacent to their home and tending it at least partially themselves. This selection ensured that respondents were directly involved in garden management, a prerequisite for meaningful data on gardening practices and biodiversity attitudes.

Collard, B., Dutertre, Q., Baudry, E., 2026. Growing vegetables: A gateway to biodiversity in domestic gardens? Landscape and Urban Planning 265, 105520. https://doi.org/10.1016/j.landurbplan.2025.105520
DOI: 10.17632/m3wgkyspjy.1
title: Garden composition and French gardeners’ objectives and practices in 2022

description: The attached dataset was used in the study currently in press with Landscape and Urban Planning (Collard et al., 2026), which investigates potential synergies and conflicts between two major objectives in domestic gardens: wild biodiversity conservation and vegetable production. Our hypothesis is that the practice of vegetable gardening engages gardeners in a relationship with living organisms, which could influence, positively or negatively, their perceptions about wild species and their garden, their decision to adopt more conservative or agroecological practices to manage vegetated areas, and consequently, the wild biodiversity found in their garden.
Full details of the methodology are provided in the Materials and Methods section of that article.
This dataset originates from a nationwide online questionnaire conducted on a large sample of French gardeners and provides detailed information on gardeners attitude towards biodiversity conservation and vegetable garden production, gardeners’ commitment to their garden and nature and gardeners’ practices. The survey was carried out by Dynata, a professional organisation specialising in survey research. Respondents were recruited from Dynata’s existing national panel of French citizens aged 18 years and older. To ensure representativeness, the sample was stratified by sex, age, socio-economic category, and geographical location, reflecting the proportions of the French adult population.
A total of 1,000 individuals were recruited, of whom 795 met the inclusion criteria: having a private garden adjacent to their home and tending it at least partially themselves. This selection ensured that respondents were directly involved in garden management, a prerequisite for meaningful data on gardening practices and biodiversity attitudes.

Collard, B., Dutertre, Q., Baudry, E., 2026. Growing vegetables: A gateway to biodiversity in domestic gardens? Landscape and Urban Planning 265, 105520. https://doi.org/10.1016/j.landurbplan.2025.105520
DOI: 10.17632/rjft6srb6z.2
title: Reference Data for "Towards Maritime Transport Decarbonisation in Developing Countries: A Systematic Literature Review"

description: This dataset supports the systematic literature review (SLR) entitled "Towards Maritime Transport Decarbonisation in Developing Countries: A Systematic Literature Review" It includes two files:

SLR Reference - Selected Studies.xml — an EndNote-compatible XML file containing the 105 studies that were selected for full review and synthesis. These references represent peer-reviewed publications relevant to maritime decarbonisation in the context of developing countries, retrieved and curated according to the Critical Appraisal Skills Programme.

Retrieved Literature from Protocol-Driven Search - No Duplicates.csv — a CSV file listing all 787 records, excluding duplicates, initially retrieved through the protocol-driven database search. The search was conducted across four scholarly databases: Scopus, Web of Science, ProQuest, and Compendex, using structured keyword combinations and Boolean operators. The file includes bibliographic metadata such as titles, authors, sources, abstracts (where available), and source database identifiers.

These files allow full transparency and reproducibility of the literature selection process and co-occurence mapping using the VosViewer application. No proprietary or full-text content is included—only bibliographic metadata.
DOI: 10.17632/d3cby7cv57
title: Raw data for manuscript "Formation of Condition-Dependent Alpha-Synuclein Fibril Strain in Artificial Cerebrospinal Fluid "

description: Raw data for manuscript "Formation of Condition-Dependent Alpha-Synuclein Fibril Strain in Artificial Cerebrospinal Fluid "
DOI: 10.17632/d3cby7cv57.3
title: Raw data for manuscript "Formation of Condition-Dependent Alpha-Synuclein Fibril Strain in Artificial Cerebrospinal Fluid "

description: Raw data for manuscript "Formation of Condition-Dependent Alpha-Synuclein Fibril Strain in Artificial Cerebrospinal Fluid "
DOI: 10.17632/nxv5myhp4p.2
title: Dataset for "When barchan dunes move over craters"

description: This dataset contains experimental videos and related metadata associated with the study "When barchan dunes move over craters". The experiments were conducted in a controlled water channel, where subaqueous barchan dunes composed of granular particles migrate and interact with fixed craters of varying diameters. The videos document different interaction regimes, including trapping, fragmentation, and overpassing, providing direct visualization of dune–crater dynamics.
DOI: 10.17632/cznh3ftbp8
title: Supplemental Table for "Opioid prescribing patterns associated with nail biopsies: a TriNetX analysis"

description: Supplemental Table for "Opioid prescribing patterns associated with nail biopsies: a TriNetX analysis"
DOI: 10.17632/cznh3ftbp8.1
title: Supplemental Table for "Opioid prescribing patterns associated with nail biopsies: a TriNetX analysis"

description: Supplemental Table for "Opioid prescribing patterns associated with nail biopsies: a TriNetX analysis"
DOI: 10.17632/jz4zds6k4d
title: Predicting the spatial distribution patterns of albic horizon thickness and burial depth in Northeast China

description: This is a dataset about examples of some environmental covariates and the R code that was run.
DOI: 10.17632/jz4zds6k4d.1
title: Predicting the spatial distribution patterns of albic horizon thickness and burial depth in Northeast China

description: This is a dataset about examples of some environmental covariates and the R code that was run.
DOI: 10.17632/jdd9yncjzm
title: Loess Landform Evolution

description: A model for loess geomorphic evolution, run using MATLAB.
DOI: 10.17632/jdd9yncjzm.1
title: Loess Landform Evolution

description: A model for loess geomorphic evolution, run using MATLAB.
DOI: 10.6084/m9.figshare.30137563.v2
title: jawm data

description: Input data for testing jawm workflows.
DOI: 10.17861/d4412c73-ce64-431e-9728-0209a6b0ceb1
title: HyperAIRI denoiser shelf for hyperspectral imaging in radio astronomy

description: The dataset includes non-expansive deep neural network (DNN) denoisers, each trained to remove additive white Gaussian noise with zero mean and a specified standard deviation. The denoisers underpin the Plug-and-Play (PnP) algorithm HyperAIRI for hyperspectral image formation in radio astronomy. 

The HyperAIRI denoiser takes as input the channel image of interest, its two adjacent channel images, an estimated spectral index map, and frequency ratios as side information, and outputs the denoised channel image.

The shelf of denoisers consists of six DNNs, each trained for noise levels in the set {3.2×10⁻⁴, 1.6×10⁻⁴, 8×10⁻⁵, 4×10⁻⁵, 2×10⁻⁵, 1×10⁻⁵}.

All DNNs are provided in ONNX format and can be deployed on images of arbitrary size, limited only by hardware memory constraints.
DOI: 10.5281/zenodo.17340571
title: Glottography dataset derived from Hochstetler et al. 2004 "Sociolinguistic survey of the Dogon language area"

description: Cite the source of the dataset as:




Hochstetler, J Lee & Evelin IK Durieux Jude A and Durieux-Boon. 2004. Sociolinguistic survey of the Dogon language area. SIL International. Citeseer.
DOI: 10.48366/r1556046
title: Comparative Analysis of AI-Augmented Learning Models and Pedagogical Innovations in 2025 Education Research

description: This dataset presents a comparative overview of five recent research papers (2025) published in Education and Information Technologies, each exploring diverse applications of artificial intelligence and immersive technologies in education. The transposed table enables a horizontal comparative view, where each row represents a paper and each column captures a specific research parameter.

The studies collectively span multiple learning paradigms — from AI-driven self-regulated learning and automated writing feedback to virtual reality for emotional development, simulation-based experiential learning, and AI-enhanced adaptive education.
DOI: 10.15468/7ttbku
title: Irish Stoats of Ireland

description: To increase our knowledge of the distribution of the Irish Stoat in Ireland
DOI: 10.15468/dl.xnh2bb
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is PINK - Amphibia monitoring for the permanent surveillance of coastal areas in Flanders, Belgium"
 ]
}

 The dataset includes 289 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013090-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmydjc
title: Occurrence Download

description: A dataset containing 2667 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is PINK - Dragonfly (Odonata) monitoring for the permanent surveillance of coastal areas in Flanders, Belgium"
 ]
}

 The dataset includes 2667 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013089-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/yvlspf
title: Irish Wetland Birds Survey (I-WeBS) 1994-2001.

description: Ireland's wetlands and their waterbirds
DOI: 10.15468/pwt8kx
title: Kingfisher Survey 2010

description: A survey of Kingfisher and other riparian bird species along 6 river systems designated as Special Areas of Conservation.
DOI: 10.5281/zenodo.17339550
title: IDSSF: Illegal logging usecase - DJI Zenmuse L2 lidar dataset

description: This is a dataset for Illegal Logging usecase, which consists of two classified (ground/non-ground) pointclouds of a forest, where logging has been done. First pointcloud is the "before" logging and the second one is "after" logging.
DOI: 10.5281/zenodo.17339551
title: IDSSF: Illegal logging usecase - DJI Zenmuse L2 lidar dataset

description: This is a dataset for Illegal Logging usecase, which consists of two classified (ground/non-ground) pointclouds of a forest, where logging has been done. First pointcloud is the "before" logging and the second one is "after" logging.