cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15281416
title: List of relevant certification and standardization for CO2SMOS final products

description: The dataset compiles the relevant certification and standardization affecting the three final materials developed within CO2SMOS Project framework according to their properties and intended application.
DOI: 10.5281/zenodo.15281417
title: List of relevant certification and standardization for CO2SMOS final products

description: The dataset compiles the relevant certification and standardization affecting the three final materials developed within CO2SMOS Project framework according to their properties and intended application.
DOI: 10.15468/dl.wht4ns
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron zhongdianense L.C.Hu"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001371-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wany5n
title: Occurrence Download

description: A dataset containing 1086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is RUS.37_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Lycaenidae"
 ]
}

 The dataset includes 1086 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001373-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29710487
title: data.docx

description: The data for our research "<b>Unveiling the Path to Sustainable Carbon Reduction: A Comparative Analysis of Bank-Led vs. Firm-Led Carbon Finance Strategies</b>".We are pleased to share the full implementation package once the associated studies currently under review have been completed and archived. Please follow our GitHub repository for updates (https://github.com/miyuan-beipiao/RL4CarbonFinance).
DOI: 10.6084/m9.figshare.29710487.v1
title: data.docx

description: The data for our research "<b>Unveiling the Path to Sustainable Carbon Reduction: A Comparative Analysis of Bank-Led vs. Firm-Led Carbon Finance Strategies</b>".We are pleased to share the full implementation package once the associated studies currently under review have been completed and archived. Please follow our GitHub repository for updates (https://github.com/miyuan-beipiao/RL4CarbonFinance).
DOI: 10.6084/m9.figshare.30343870.v1
title: <b>Regionally tailored diversified cropping systems to enhance global food security</b>

description: Global agriculture production faces the challenge of producing sufficient food for feeding 8 billion people while reducing agriculture-driven environmental impacts.Current agricultural simplification comes with serious fertilizer squander and biodiversity loss, despite its high yield. Diversified cropping systems that consciously increase crop diversityby intercropping or rotation, represents a key strategy for sustainable agriculture and thus offers an opportunity to address this challenge. However, worldwide yield increment of diversified cropping and its environmental suitability remain elusive. Here, by synthesizing 5,874 yield observations from 747 studies, we demonstrate that diversified cropping significantly enhanced yield of major staple cropswith intercropping by 12%and rotation11%.Yield response of intercropping is primarily driven by mean annual temperature and more pronounced in regions with low soil carbon and nitrogen content, whereas that of rotation is mainly determined by duration and benefits more in opposite soil conditions. By employing machine learning algorithms, we estimate that intercropping and rotation could respectively boost yield of global major staple crops by 394 and 207 million tons annually, tailoring them locally could exceed 470 million tons—feeding over 2.5 billion people. Overall, we highlight the pressing necessity for the swift the adoption of diversified cropping systems for enhancing global food security.
DOI: 10.12770/292a8329-b0c0-4786-9c7c-8ea430d2a0f2
title: Digital Surface Models (DSMs) of the Loire River mudflat (2 km²) acquired on October 10 and November 9, 2022

description: Digital Surface Models (DSMs) of the study area surveyed by drone on October 10 and November 9, 2022.Each pixel contains the elevation value corresponding to the terrain at the time of the mission. These DSMs were generated from 1,356 images (October 10) and 1,288 RGB images (November 9), acquired using the RTK eBee X drone and the S.O.D.A 3D camera, with a resolution of 2.9 cm/pixel. The surveyed area covers 1.95 km² in October and 1.56 km² in November. The campaign was conducted on October 10 and November 9, 2022, for Xavier Bertin (LIENSs) to measure morphological changes. The drone acquisitions were carried out by Nicolas Lachaussée from the LIENSs UMR Drone Platform. Photogrammetric processing was performed by Natacha Volto (LIENSs) using Agisoft Metashape software. The vertical accuracy (RMSZ(October) = 4.108 cm and RMSZ(November) = 3.558 cm was calculated using 50 control points in October and 36 in November, randomly distributed across the study area. It is derived from the vertical difference for each control point between the value measured with the DGPS SP80 and the value extracted from the photogrammetry-generated DSM.
DOI: 10.5281/zenodo.17597662
title: SECURITY VULNERABILITIES IN WEB APPLICATIONS

description: Web applications have become the foundation of most online services, but their increasing use has also introduced a wide range of security risks. Access control is one of the most critical mechanisms that ensures only authorized users perform permitted actions. However, many web applications continue to suffer from vulnerabilities that allow attackers to bypass restrictions and gain unauthorized access. This paper reviews common access control weaknesses, their underlying causes, and practical approaches for prevention and detection. The major vulnerabilities discussed include Broken Access Control, Insecure Direct Object References (IDOR), and Privilege Escalation. Attackers exploit these flaws to access sensitive information or perform malicious operations, leading to data leakage, system compromise, and impersonation. Developers must implement robust rolebased access policies, avoid relying solely on client-side validation, and frequently test applications using automated tools. Regular code reviews, runtime monitoring, and consistent policy enforcement can significantly reduce risks and enhance the overall security of web applications.
DOI: 10.5281/zenodo.17597661
title: SECURITY VULNERABILITIES IN WEB APPLICATIONS

description: Web applications have become the foundation of most online services, but their increasing use has also introduced a wide range of security risks. Access control is one of the most critical mechanisms that ensures only authorized users perform permitted actions. However, many web applications continue to suffer from vulnerabilities that allow attackers to bypass restrictions and gain unauthorized access. This paper reviews common access control weaknesses, their underlying causes, and practical approaches for prevention and detection. The major vulnerabilities discussed include Broken Access Control, Insecure Direct Object References (IDOR), and Privilege Escalation. Attackers exploit these flaws to access sensitive information or perform malicious operations, leading to data leakage, system compromise, and impersonation. Developers must implement robust rolebased access policies, avoid relying solely on client-side validation, and frequently test applications using automated tools. Regular code reviews, runtime monitoring, and consistent policy enforcement can significantly reduce risks and enhance the overall security of web applications.
DOI: 10.17605/osf.io/hz9vn
title: Biomechanics of 3D tumor cell cultures of human breast carcinoma cells (T47D)

description: Multicell tumor spheroids are three-dimensional cultures of tumor cells. The idea of
reconstituting 3D aggregates of cells in vitro as experimental models of real tissues dates
back to the first half of the 20th century. Indeed the 3D dimensional architecture promotes deep molecular and metabolic changes to cells and thus to their microenvironment . These changes – just to cite a few of the most important aspects – affect the sensitivity of cells to anti-tumor therapies and determine the onset of new malignant phenotypes such as the acquired ability of the cells to migrate and invade surrounding environments. In spite of obvious limitations – for example spheroids lack a vascular network – traditional
tumor spheroids are still considered a good experimental model of human solid tumors.
When solid tumors grow in vivo they exert a finite force on the surrounding tissue that results in the generation of solid stress. Theoretical and experimental works suggested that cell aggregates can be more appropriately represented as space-filling assemblies of deformable cells. Thus spheroids would be more similar to materials such as liquid foams. However, alive cells are not just passive structures subjected to physical forces. Oral squamous carcinoma spheroids grown in engineered culture environments with different stiffness clearly showed that the cells sense mechanical stimuli and react to them by reprogramming the expression of a variety of genes. Stiff matrices induced the upregulation of genes associated to mechanotransduction, ion channel transport, extracellular matrix remodeling, tumorigenesis, cell adhesion. Importantly, these biochemical pathways are related to cell metabolism. Some of the protein involved rely directly on energy availability under the form of adenosine triphosphate (ATP), such as e.g. ATP-dependent ion transporters, but more generally signal transduction biochemical pathways act through the phosphorylation/de-phosphorylation of specific protein nodes and thus they are dependent upon the intracellular concentration of ATP. Thus, the response of spheroids to mechanical stress might be more complex than that shown by liquid foams.
The main goal of this research project is the quantification of the metabolic status of tumor spheroids subjected to mechanical stress. To this purpose, a micro-scale uniaxial tension-compression test system was used. Two mechanical parameters were measured in these experiments, namely the maximum measured force F_{max} and the area of the hysteresis loop A_h that is clearly visible in force/deformation plots. A_h is a measure of the energy dissipated by the spheroids during the stress tests and wether this energy could be related to ATP consumption by spheroids was the starting hypothesis of the present analysis.
Here, the experimental data collected for spheroids individually subjected to mechanical load are made available to the scientific community.
DOI: 10.5281/zenodo.17582709
title: A unified physical theory based on special spiral-paths of photons.
title: Die Photonentheorie

description: Photons form structures or radiation in a spherically oscillating space.
DOI: 10.5281/zenodo.17582708
title: A unified physical theory based on special spiral-paths of photons.
title: Die Photonentheorie

description: Photons form structures or radiation in a spherically oscillating space.
DOI: 10.5281/zenodo.17596990
title: Temporal Complexity Hierarchies in Solvable Quantum Many-Body Dynamics

description: This repository contains all data and plot scripts necessary to recreate the figures in "Temporal Complexity Hierarchies in Solvable Quantum Many-Body Dynamics".
DOI: 10.5281/zenodo.17596989
title: Temporal Complexity Hierarchies in Solvable Quantum Many-Body Dynamics

description: This repository contains all data and plot scripts necessary to recreate the figures in "Temporal Complexity Hierarchies in Solvable Quantum Many-Body Dynamics".
DOI: 10.17605/osf.io/46pmk
title: COVID-19 Vaccine Adverse Event Reports (Israel, 2020–2024) – FOIA Release from Clalit Health Services

description: This dataset was released by Clalit Health Services, Israel’s largest state-mandated health organization (covering over 5 million members), on September 17, 2025, following repeated Freedom of Information Act (FOIA) requests submitted by the Community NGO of Givat Mordechai (Jerusalem).

The dataset contains 294,877 reports of adverse events following COVID-19 vaccination recorded between December 21, 2020, and December 27, 2024 (excluding two entries without specified events). The reports are categorized by date, gender, birthyear, vaccine dose, batch number, and adverse event code and description according to the official Nachlieli reporting system of the Ministry of Health (MOH).

The dataset covers a wide spectrum of reported reactions, from mild local or systemic effects (e.g., injection site pain, fever, headache) to serious neurological, cardiovascular, and other significant outcomes (e.g., thrombocytopenia, vascular or respiratory events).
DOI: 10.15468/dl.94zdst
title: Occurrence Download

description: A dataset containing 14522 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tapirus terrestris"
 ]
}

 The dataset includes 14522 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030413-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qn89vk
title: Occurrence Download

description: A dataset containing 50508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.85832 45.76072,4.84116 45.77044,4.81057 45.77445,4.79541 45.76044,4.78741 45.74185,4.79884 45.71926,4.82372 45.69924,4.87291 45.68294,4.89778 45.68208,4.90779 45.69181,4.90951 45.71268,4.90093 45.73613,4.88005 45.751,4.8669 45.75643,4.85832 45.76072))",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 50508 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030409-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13907536
title: What do James Bond and Donald Trump have in common? LIWC analysis of U. S. presidents and movie characters' speech patterns

description: Dataset for the article including source files.
DOI: 10.5281/zenodo.13907535
title: What do James Bond and Donald Trump have in common? LIWC analysis of U. S. presidents and movie characters' speech patterns

description: Dataset for the article including source files.
DOI: 10.57967/hf/6988
title: grokipedia-wikipedia-16-languages
DOI: 10.15468/dl.3vrfc3
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mucuna macrocarpa"
 ]
}

 The dataset includes 106 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030416-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2up8jg
title: Occurrence Download

description: A dataset containing 78319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((81 26, 83 26, 83 27, 81 27, 81 26))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 78319 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030365-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17597786
title: VQFC + VV\&A: A Theoretical Framework for Geometric Certification of Quantum Models\\ Towards Applications in Quantum Gravity
DOI: 10.5281/zenodo.17597787
title: VQFC + VV\&A: A Theoretical Framework for Geometric Certification of Quantum Models\\ Towards Applications in Quantum Gravity
DOI: 10.17605/osf.io/e962t
title: “Freely explore this environment”: Individual differences in exploration behavior and survey knowledge

description: When navigating individuals form mental representations of their environment. Significant individual differences exist, particularly in the ability to develop survey knowledge - a map-like understanding of spatial relationships. While many studies have focused on navigation via predetermined routes, less is known about individual differences in learning environments from free exploration. This study investigated whether exploration behaviors, such as the tendency to revisit places or diffuse in the environment, are linked to mental representations and whether visuospatial factors, like visuospatial working memory and self-reported wayfinding inclinations (e.g., self-efficacy and pleasure in exploring, and spatial anxiety), contribute to these relationships.
A sample of 234 participants (147 women) completed a visuospatial working memory task and wayfinding questionnaires, then freely explored a virtual city in a CAVE environment. Revisiting (tendency to re-explore visited areas) and diffusion (extent of environmental coverage) were calculated. Their survey knowledge was assessed using a map drawing task.
DOI: 10.15468/dl.jvjwz6
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Mnium laevinerve"
 ]
}

 The dataset includes 91 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030418-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17590389
title: SENSEI Daily Modulation — Processed Dataset (data.csv), v1.0.0

description: Processed (post-masking) dataset used in the SENSEI diurnal-modulation analysis, as defined in the paper’s ‘Data Reconstruction & Selection’ section. One row per image/data point; see README for column definitions and units.
DOI: 10.57745/bljp3w
title: Données-varia-EDC .docx

description: :unav
DOI: 10.5281/zenodo.17597826
title: Artificial Intelligence in Disease Diagnosis

description: Generative Artificial Intelligence (AI) has become a revolutionary force in disease diagnosis by leveraging vast medical datasets, advanced deep learning algorithms, and AI-based tools for automated medical analysis. When clinical images such as X-rays, MRI, and CT scans are input, generative AI systems analyze them using models like Generative Adversarial Networks (GANs) and Large Language Models (LLMs) to identify abnormal patterns, reconstruct images, and support diagnostic decision-making. These models can generate synthetic medical data to enhance model training, improve diagnostic accuracy, and overcome challenges of data scarcity while maintaining patient privacy. In clinical settings, generative AI aids physicians by automating image interpretation, summarizing electronic health records (EHRs), and suggesting possible disease outcomes based on learned patterns. Through integration with large datasets and AI tools, it enhances early detection of diseases such as cancer, cardiovascular disorders, and neurological conditions. However, its deployment requires strong governance, data quality assurance, and ethical considerations to mitigate bias, ensure transparency, and protect patient confidentiality. Frameworks such as the Technology Acceptance Model (TAM) and NASSS (Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability) guide responsible adoption of generative AI in healthcare. Overall, generative AI holds transformative potential in disease diagnosis, enabling faster, more accurate, and personalized healthcare when implemented with scientific rigor and human oversight
DOI: 10.5281/zenodo.17597825
title: Artificial Intelligence in Disease Diagnosis

description: Generative Artificial Intelligence (AI) has become a revolutionary force in disease diagnosis by leveraging vast medical datasets, advanced deep learning algorithms, and AI-based tools for automated medical analysis. When clinical images such as X-rays, MRI, and CT scans are input, generative AI systems analyze them using models like Generative Adversarial Networks (GANs) and Large Language Models (LLMs) to identify abnormal patterns, reconstruct images, and support diagnostic decision-making. These models can generate synthetic medical data to enhance model training, improve diagnostic accuracy, and overcome challenges of data scarcity while maintaining patient privacy. In clinical settings, generative AI aids physicians by automating image interpretation, summarizing electronic health records (EHRs), and suggesting possible disease outcomes based on learned patterns. Through integration with large datasets and AI tools, it enhances early detection of diseases such as cancer, cardiovascular disorders, and neurological conditions. However, its deployment requires strong governance, data quality assurance, and ethical considerations to mitigate bias, ensure transparency, and protect patient confidentiality. Frameworks such as the Technology Acceptance Model (TAM) and NASSS (Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability) guide responsible adoption of generative AI in healthcare. Overall, generative AI holds transformative potential in disease diagnosis, enabling faster, more accurate, and personalized healthcare when implemented with scientific rigor and human oversight
DOI: 10.15468/dl.7ert4b
title: Occurrence Download

description: A dataset containing 1652 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium mexicanum"
 ]
}

 The dataset includes 1652 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030419-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctcsy6
title: Occurrence Download

description: A dataset containing 1441764 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ZAF.4.6_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1441764 records from 286 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030403-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebszcz
title: Occurrence Download

description: A dataset containing 190312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Natural History Museum (London) Collection Specimens",
 "TaxonKey is one of (Turnix suscitator, Aves)"
 ]
}

 The dataset includes 190312 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030415-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whax38
title: Occurrence Download

description: A dataset containing 1277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((139.19037 21.6348,151.46376 59.17005,135.61557 42.72603,123.58047 38.31714,117.00966 47.44144,100.76847 33.00334,69.3689 39.81288,64.82921 30.92265,85.25784 13.99337,113.06049 20.63699,134.74476 19.25524,139.19037 21.6348))",
 "TaxonKey is Ixeris polycephala"
 ]
}

 The dataset includes 1277 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030420-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.