cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc1sto1607334
title: InscriptiFact -- an image database of inscriptions and artifacts

description: The InscriptiFact Collection is designed to allow access via the Internet to high-resolution images of ancient inscriptions and artifacts, primarily from the Near Eastern and Mediterranean Worlds. The targeted inscriptions constitute some of the world’s earliest written records, which are mostly housed in a number of international museums and libraries, as well as field projects where inscriptions still remain in situ. Included, for example, are, selected Dead Sea Scrolls; cuneiform tablets from Mesopotamia, Persia, Canaan and Egypt; early Jewish papyri from Egypt; lapidary inscriptions, primarily from Jordan, Lebanon and Cyprus; inscriptions on a variety of hard media (e.g., ostraca, copper, semi-precious stones, jar handles) mostly written in early Canaanite, Phoenician, Hebrew, Aramaic, Ammonite and Edomite; and much more. These ancient texts are foundational documents that serve as a point of reference for Judaism, Christianity, Islam and the cultures out of which they emerged. The name "InscriptiFact" is intended to convey the concept of a scholarly archive based on "facts" about "inscriptions" and "artifacts." West Semitic Research Project (WSRP) under the auspices of the University of Southern California (USC) is broadly acknowledged as a leader in the application of photographic and digital technologies to capture and analyze data of ancient texts. The West Semitic Research image archive now contains approximately 1,500,000 images. Important! Search terms with more than one word or number need to be enclosed in quotation marks.Guide to Searching InscriptiFact
DOI: 10.17632/kw5b7d9zgn.5
title: Batik Lasem Motifs Collections (Gunung Ringgit, Kricak, Latohan, Nyuk Pitu, Seritan)

description: Batik Lasem Motifs Collection - This collection features five distinctive Batik Lasem motifs: Gunung Ringgit (864 files), Kricak/Watu Pecah (1004 files), Latohan (1373 files), Nyuk Pitu (1291 files), and Seritan (1328 files), totaling 5860 files. Each motif reflects the rich cultural heritage and artistic intricacy of Batik Lasem, showcasing unique patterns inspired by nature, history, and traditional Javanese-Chinese influences.
DOI: 10.17632/3b5z4tnrr5.1
title: Raw data for cAMP-related second messenger pathways modulate hearing function in Aedes aegypti mosquitoes

description: Raw data for cAMP-related second messenger pathways modulate hearing function in Aedes aegypti mosquitoes
DOI: 10.17632/3b5z4tnrr5.2
title: Raw data for cAMP-related second messenger pathways modulate hearing function in Aedes aegypti mosquitoes

description: Raw data for cAMP-related second messenger pathways modulate hearing function in Aedes aegypti mosquitoes
DOI: 10.17632/vwm2hcmy35.1
title: Shrub and herb diversity, litter quality, MBC, bulk density, soil organic stocks and stability in Mixed Forests of the Loess Plateau, China(2023-2024)

description: This dataset was obtained through field sampling conducted at two key research stations: the Ansai Comprehensive Soil and Water Conservation Experimental Station (Chinese Academy of Sciences) and the Shanxi Jixian National Forest Ecosystem Observation and Research Station. It encompasses ecological parameters from mixed forests in China's Loess Plateau during 2023-2024, including shrub and herbaceous plant diversity, litter quality (C/N ratio, biomass), bulk density, organic carbon stocks, and stability indices. These data provide fundamental support for elucidating plant-soil interactions and assessing carbon sequestration potential in afforested ecosystems, contributing to research on sustainable forest management and climate change mitigation.
DOI: 10.5281/zenodo.15538159
title: Wonkyconn Smoke Test Data

description: Smoke Test Data

Giga-connectome output data for sub-1 used to smoke test wonkyconn builds. 

Atlas: Schaefer20187Networks

Dataset: ds000017
DOI: 10.5281/zenodo.15538160
title: Wonkyconn Smoke Test Data

description: Smoke Test Data

Giga-connectome output data for sub-1 used to smoke test wonkyconn builds. 

Atlas: Schaefer20187Networks

Dataset: ds000017
DOI: 10.17632/thkvyvhjws.1
title: Murine maternal microbiome modifies adverse effects of protein undernutrition on offspring neurobehavior

description: Protein undernutrition results in impaired growth and neurobehavioral development in children. However, the impact of timing, environmental factors, and maternal versus neonatal influences are unclear. Here, using a mouse model of fetal growth restriction where maternal protein intake is limited during pregnancy, we show that adult offspring exhibit cognitive and anxiety-like behavioral abnormalities. Cross-fostering newborn mice to dams previously exposed to either low protein or standard diet reveals that behavioral impairments in adult offspring require diet-induced conditioning of both fetal development and maternal peripartum physiology. Maternal gut microbiome diversity is reduced, maternal immune, milk, and serum metabolomic profiles are altered, and widespread changes in fetal brain transcriptomic and metabolomic profiles are observed, including subsets of microbiome-dependent metabolites. Finally, we show that dams treated with a cocktail of ten diet- and microbiome-dependent metabolites results in differential effects on fetal development and postnatal behavior. Our study highlights the impact of prenatal maternal protein undernutrition on offspring neurobehavioral trajectories and the role of the maternal microbiome.
DOI: 10.17632/zdczzpkd8z.1
title: SDN ICMP Flood Dataset

description: The dataset has been created by simulating a ICMP Flood DDOS attack using a Mininet emulator in the SDN Environment. 
The Dataset contains 84 features and 85,062 instances.
DOI: 10.17632/zdczzpkd8z.2
title: SDN ICMP Flood Dataset

description: The dataset has been created by simulating a ICMP Flood DDOS attack using a Mininet emulator in the SDN Environment. 
The Dataset contains 84 features and 85,062 instances.
DOI: 10.17632/r9xhcwwgm4.1
title: MATERIAL PARA PRIMER ARTÍCULO CON DATOS PRELIMINARES CHATGPT 2025

description: El dataset que se presenta a continuación corresponde a un proyecto de investigación denominado “ChatGPT herramienta en la formación y competencia investigativa del programa de medicina en Villavicencio” financiado por la Universidad Cooperativa de Colombia como proyecto para la opción de trabajo de grado de la maestría en Educación. El dataset se compone de dos componentes principales: 1 el cuestionario que se aplicó a los estudiantes y docentes de la materia Semiología Clínica del quinto semestre del programa de Medicina, conformada por el texto completo del instrumento y el archivo en Excel con las respuestas obtenidas en la primera aplicación de la fase del mismo; 2 un análisis estadístico preliminar mediante el software Jamovi de los datos preliminares tomados para el primer artículo, el cual contiene variables cuantitativas y categóricas sobre percepciones, uso, utilidad percibida, barreras y nivel de conocimiento acerca de ChatGPT en el contexto de la educación superior. Por tanto, este dataset representa la principal fuente de datos para comprender de forma exploratoria el impacto y las prácticas emergentes en la utilización de herramientas generativas avanzadas en educación médica.
DOI: 10.17632/btdym2t6mt.1
title: Betel Leaf Dataset: A Primary Dataset From Field And Controlled Environment

description: Betel leaves hold high value due to its culinary, medical, and religious values. Future potential for better quality control, yield, and sustainable cultivation may derive from understanding the growth habits of the plant, its disease-resisting capabilities, and farming conditions. The dataset comprises betel leaf images. After reviewing the existing databases in the literature, it has been observed that very few researchers have explored the betel leaf. The available datasets are not up to the mark as they consist of images in the field. Also, along with it, the dried leaves class was not considered. The authors addressed these gaps in this dataset by acquiring betel leaf images from both on-field and controlled environments. Also, dried images of betel leaves were acquired. It has three classes, namely healthy, diseased, and dried. The dataset acquired was from the betel leaf cultivation farms in Maharashtra with the help of agronomists. The images are acquired from the field and in a controlled environment. A total of 1800 images were captured with a high-resolution camera in jpeg format. Out of 1800, healthy leaves samples are 669, dried leaves are 622, and diseased 509. The dataset can also be used by researchers to discover betel leaf ailments and estimate the severity of such diseases using artificial intelligence techniques.
DOI: 10.17632/btdym2t6mt
title: Betel Leaf Dataset: A Primary Dataset From Field And Controlled Environment

description: Betel leaves hold high value due to its culinary, medical, and religious values. Future potential for better quality control, yield, and sustainable cultivation may derive from understanding the growth habits of the plant, its disease-resisting capabilities, and farming conditions. The dataset comprises betel leaf images. After reviewing the existing databases in the literature, it has been observed that very few researchers have explored the betel leaf. The available datasets are not up to the mark as they consist of images in the field. Also, along with it, the dried leaves class was not considered. The authors addressed these gaps in this dataset by acquiring betel leaf images from both on-field and controlled environments. Also, dried images of betel leaves were acquired. It has three classes, namely healthy, diseased, and dried. The dataset acquired was from the betel leaf cultivation farms in Maharashtra with the help of agronomists. The images are acquired from the field and in a controlled environment. A total of 1800 images were captured with a high-resolution camera in jpeg format. Out of 1800, healthy leaves samples are 669, dried leaves are 622, and diseased 509. The dataset can also be used by researchers to discover betel leaf ailments and estimate the severity of such diseases using artificial intelligence techniques.
DOI: 10.17632/btdym2t6mt.2
title: Betel Leaf Dataset: A Primary Dataset From Field And Controlled Environment

description: Betel leaves hold high value due to its culinary, medical, and religious values. Future potential for better quality control, yield, and sustainable cultivation may derive from understanding the growth habits of the plant, its disease-resisting capabilities, and farming conditions. The dataset comprises betel leaf images. After reviewing the existing databases in the literature, it has been observed that very few researchers have explored the betel leaf. The available datasets are not up to the mark as they consist of images in the field. Also, along with it, the dried leaves class was not considered. The authors addressed these gaps in this dataset by acquiring betel leaf images from both on-field and controlled environments. Also, dried images of betel leaves were acquired. It has three classes, namely healthy, diseased, and dried. The dataset acquired was from the betel leaf cultivation farms in Maharashtra with the help of agronomists. The images are acquired from the field and in a controlled environment. A total of 1800 images were captured with a high-resolution camera in jpeg format. Out of 1800, healthy leaves samples are 669, dried leaves are 622, and diseased 509. The dataset can also be used by researchers to discover betel leaf ailments and estimate the severity of such diseases using artificial intelligence techniques.
DOI: 10.6084/m9.figshare.28685312.v27
title: Supplementary Material for: Evidence on protective factors for dementia and cognitive impairment in older adults: an umbrella review

description: Introduction: Dementia represents a global public health challenge, and no conclusive evidence exists on how to prevent its onset or at least reduce the risk. This umbrella review aims to identify interventions or exposures that can reduce the incidence of dementia or cognitive impairment.
Methods: A search of meta-analyses and systematic reviews published from 2018 to 2025 (January) was conducted across four databases. Articles assessing associations between interventions or exposures to protective factors and incidence of dementia or cognitive decline in non-demented older adults were selected.
Results: Out of 6,324 articles, 177 underwent full-text screening, and 17 were included. They showed that psychosocial factors (social engagement, purpose in life, life satisfaction, and cognitive reserve) and influenza vaccination protect against dementia. Evidence on antihypertensives is promising, while evidence on low-dose aspirin is promising yet inconclusive. No clear results emerged for both single- and multi-domain lifestyle interventions.
Conclusions: These results offer new insight on potential targets for dementia prevention, a global public health priority. In particular, favorable psychosocial factors and influenza vaccination, undervalued in the scientific debate on dementia prevention, emerged as promising and feasible targets for preventive initiatives. Future research should focus on fine-tuning interventions to promote brain health, exploring their underlying mechanisms, and developing targeted and personalized strategies for specific population subgroups.
DOI: 10.6084/m9.figshare.28919663
title: Supplementary Material for: Effect of early life income and sugars intake on child oral health – marginal structural modelling using a birth cohort study

description: Introduction: Determinants of oral health are formed early and influenced by variations in socioeconomic status (SES). It is unclear whether early-life SES influences child oral health directly, or indirectly through determinants such as intake of free sugars. This study applied the marginal structural modelling approach to household income at birth and free sugar intake to investigate pathways those determinants influence child oral health. Methods: We used data collected in SMILE, a population-based birth cohort study of Australian mother/newborn dyads, who have been followed-up prospectively since birth with questionnaires and clinical assessment. Area- and individual-level factors collected at childbirth were background confounders. Household income at childbirth (Low/Medium/High) and free sugar intake at age two years (Low/Medium/High) were used as primary exposure and mediator to investigate pathways through which SES at childbirth influences oral health. By applying the causal inference approach and using marginal structural modelling, we estimated the controlled direct effect of household income and the direct effect and mediating effect of intake of free sugars on dental caries experience. We developed a causal directed acyclic graph to guide the analysis. The baseline confounders were balanced using a stabilised inverse probabilities of treatment weight, mimicking randomisation. Results: Low household income at childbirth was associated with 1.65 (95%CI: 1.01, 3.02) times higher accumulated dental caries experience by age five years than in children born to high-income households. High intake of free sugars had strong direct effects on both the prevalence (1.55 (95%CI: 1.03, 2.32)) and cumulative experience (2.64 (95%CI: 1.36, 5.15)) of dental caries by age five years. Proportions of effects of income were mediated by intake of free sugars. Conclusion: Socioeconomic variations at birth and immediate determinants such as intake of sugars, directly and indirectly, influence oral health. Timely and appropriate addressing of those variations may limit inequity in oral health.
DOI: 10.6084/m9.figshare.28919666
title: Supplementary Material for: Familial idiopathic glomerular disease due to a unique renal-predominant phenotype of MYH9-related disease: A Case Report

description: Introduction
MYH9-related disease (MYH9-RD) is a rare genetic cause of proteinuric kidney disease. It typically manifests as a syndromic condition, presenting with macrocytic thrombocytopenia, sensorineural hearing loss (SNHL), chronic glomerulopathy, elevated liver enzymes and early-onset bilateral cataracts. In this case report, we present a father and daughter with renal-predominant MYH9-RD due to a recently described missense variant affecting the head domain of non-muscle myosin heavy chain IIA.

Case Presentations
Patient 1 was an 18-year-old woman with childhood proteinuria who presented with severely advanced kidney failure. Dialysis was initiated as a bridge to a living unrelated renal transplant (LURT). Family history was notable for proteinuric kidney disease in her father (Patient 2). Eight years later, genetic testing identified a likely pathogenic missense variant in the head domain of the MYH9 gene (c.1271G&gt;A, p.R424Q). A predictive structural model was obtained via AlphaFold Protein Structure Database, in which the mutation interrupts hydrogen bonding and π-cation interactions, likely leading to protein misfolding. Subsequent clinical screening revealed persistent mild thrombocytopenia and elevated liver enzymes, without cataracts or SNHL. 
Patient 2 was a 53-year-old man with childhood proteinuria who eventually presented with stage 4 chronic kidney disease and soon after underwent LURT. After Patient 1’s genetic diagnosis, he was confirmed to have the same mutation by genetic testing. Subsequent screening revealed mild thrombocytopenia and elevated liver enzymes with hepatic steatosis progressing to cirrhosis, without cataracts or SNHL. 

Conclusion
The finding of this MYH9 p.R424Q variant confirmed a diagnosis of MYH9-RD in these patients. MYH9 variants affecting the head domain typically result in severe thrombocytopenia. This recently reported head domain variant caused severe renal manifestations with mild thrombocytopenia and no manifestations of SNHL or cataracts in both patients, suggesting that this variant causes a renal-predominant form of MYH9-RD.
DOI: 10.15468/dl.aweub9
title: Occurrence Download

description: A dataset containing 5010 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chlorobia"
 ]
}

 The dataset includes 5010 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011120-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.suya9z
title: Occurrence Download

description: A dataset containing 20062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coincya monensis subsp. cheiranthos (Vill.) C.Aedo Pérez, Leadlay & Muñoz Garm.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20062 records from 405 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075868-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzycgr
title: Occurrence Download

description: A dataset listing the 2711 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "GadmGid is GTM.7_1",
 "Geometry POLYGON((-90.53399 14.55173,-90.52634 14.56015,-90.52499 14.56497,-90.51873 14.57479,-90.51363 14.58211,-90.50766 14.58317,-90.49899 14.58355,-90.49061 14.58452,-90.48305 14.58852,-90.4738 14.59131,-90.4712 14.59247,-90.46677 14.5941,-90.46494 14.59767,-90.46205 14.6047,-90.4451 14.60682,-90.43307 14.61375,-90.38915 14.63291,-90.39406 14.64881,-90.39483 14.65612,-90.40234 14.6621,-90.40986 14.66903,-90.41544 14.67577,-90.42026 14.67885,-90.43393 14.68656,-90.44876 14.68598,-90.46619 14.68347,-90.47929 14.68319,-90.48979 14.68213,-90.50058 14.68068,-90.50828 14.67722,-90.51435 14.6724,-90.51974 14.66941,-90.53091 14.66508,-90.55171 14.66267,-90.56192 14.65844,-90.56722 14.65853,-90.56963 14.66296,-90.57627 14.66104,-90.58532 14.65574,-90.58426 14.65044,-90.57926 14.64746,-90.57483 14.64081,-90.57251 14.63243,-90.5704 14.62906,-90.56731 14.62271,-90.55874 14.61751,-90.56019 14.6124,-90.56231 14.60759,-90.5652 14.60306,-90.56847 14.59892,-90.57155 14.59555,-90.57338 14.5917,-90.57425 14.58775,-90.5754 14.58264,-90.57926 14.57937,-90.58099 14.5735,-90.57791 14.56309,-90.57367 14.56069,-90.55345 14.55712,-90.5469 14.5551,-90.53399 14.55173))"
 ]
}

 The dataset's 2711 records were derived from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075866-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5yuha9
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Material citation, Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trichocentrum carthagenense (Jacq.) M.W.Chase & N.H.Williams"
 ]
}

 The dataset includes 132 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075870-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7p5pv3
title: Occurrence Download

description: A dataset containing 20062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coincya monensis subsp. cheiranthos (Vill.) C.Aedo Pérez, Leadlay & Muñoz Garm.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20062 records from 405 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075869-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkk9uw
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is 2003",
 "TaxonKey is Vulpes Frisch, 1775",
 "Geometry MULTIPOLYGON (((-9.51698 36.96185, -6.189352 36.96185, -6.189352 42.15442, -9.51698 42.15442, -9.51698 36.96185)))"
 ]
}

 The dataset includes 22 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075871-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tb77s
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantago major L.",
 "Year 2022-2022"
 ]
}

 The dataset includes 46 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075874-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsf4vx
title: Occurrence Download

description: A dataset containing 20062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coincya monensis subsp. cheiranthos (Vill.) C.Aedo Pérez, Leadlay & Muñoz Garm.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20062 records from 405 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075873-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.