cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yxmf3cd865
title: Jujube Leaf Disease and Health Image Dataset: Anthracnose, Powdery Mildew, Insect Damage, Yellowing, and Healthy Classes

description: This dataset contains RGB images of jujube (Ziziphus jujuba) leaves collected for research on automatic plant disease recognition, stress detection, and leaf health assessment. The images are grouped into five phenotypic classes:
1.Anthracnose
2.Healthy
3.Powdery Mildew
4.Insect Damage
5.Yellow Leaf 
In total, the dataset includes 1,260 images, with 300 images per class for Anthracnose, Healthy, Insect Damage, and Yellow Leaf, and 60 images for Powdery Mildew. The lower number of Powdery Mildew samples reflects its lower prevalence during the data collection period and is intentionally preserved to represent realistic field conditions.
Images were acquired under natural field conditions with varying backgrounds, illumination, and leaf orientations to improve the robustness and real-world relevance of computer vision and deep learning models trained on this dataset. All images are provided in their original RGB format without synthetic augmentation; users may apply their own augmentation strategies (e.g., rotation, flipping, color jitter) and class-weighting methods to address class imbalance in downstream analyses.A key strength of this dataset is the expert verification of disease and syndrome information:

The presence or absence of disease for each symptomatic class (Anthracnose, Powdery Mildew, Insect Damage, Yellow Leaf) and the Healthy class was verified and documented through a formal disease verification certificate issued by qualified experts.In addition, a separate syndrome and medicine verification certificate is provided, describing the characteristic visual syndromes (leaf symptoms) of each disease class and confirming the recommended treatment/management options (e.g., appropriate pesticides, fungicides, or other control measures) as validated by subject-matter specialists.

Scanned copies of both the disease verification certificate and the syndrome and medicine verification certificate are included as supplementary files in this repository. These documents provide users with transparent evidence of diagnostic validity and treatment recommendations, enhancing the reliability of the dataset for scientific, agronomic, and decision-support applications.

This dataset is intended for, but not limited to:
Training and benchmarking image classification and deep learning models for jujube leaf disease detection.Research on plant stress phenotyping and early disease diagnosis.
Development of mobile or edge-based decision support systems for farmers and extension workers.
Educational purposes in plant pathology, precision agriculture, and agricultural informatics.
Users are encouraged to cite this dataset when using it in publications and to note the presence of the attached verification certificates as part of the dataset’s quality assurance.
DOI: 10.17632/yxmf3cd865.2
title: Jujube Leaf Disease and Health Image Dataset: Anthracnose, Powdery Mildew, Insect Damage, Yellowing, and Healthy Classes

description: This dataset contains RGB images of jujube (Ziziphus jujuba) leaves collected for research on automatic plant disease recognition, stress detection, and leaf health assessment. The images are grouped into five phenotypic classes:
1.Anthracnose
2.Healthy
3.Powdery Mildew
4.Insect Damage
5.Yellow Leaf 
In total, the dataset includes 1,260 images, with 300 images per class for Anthracnose, Healthy, Insect Damage, and Yellow Leaf, and 60 images for Powdery Mildew. The lower number of Powdery Mildew samples reflects its lower prevalence during the data collection period and is intentionally preserved to represent realistic field conditions.
Images were acquired under natural field conditions with varying backgrounds, illumination, and leaf orientations to improve the robustness and real-world relevance of computer vision and deep learning models trained on this dataset. All images are provided in their original RGB format without synthetic augmentation; users may apply their own augmentation strategies (e.g., rotation, flipping, color jitter) and class-weighting methods to address class imbalance in downstream analyses.A key strength of this dataset is the expert verification of disease and syndrome information:

The presence or absence of disease for each symptomatic class (Anthracnose, Powdery Mildew, Insect Damage, Yellow Leaf) and the Healthy class was verified and documented through a formal disease verification certificate issued by qualified experts.In addition, a separate syndrome and medicine verification certificate is provided, describing the characteristic visual syndromes (leaf symptoms) of each disease class and confirming the recommended treatment/management options (e.g., appropriate pesticides, fungicides, or other control measures) as validated by subject-matter specialists.

Scanned copies of both the disease verification certificate and the syndrome and medicine verification certificate are included as supplementary files in this repository. These documents provide users with transparent evidence of diagnostic validity and treatment recommendations, enhancing the reliability of the dataset for scientific, agronomic, and decision-support applications.

This dataset is intended for, but not limited to:
Training and benchmarking image classification and deep learning models for jujube leaf disease detection.Research on plant stress phenotyping and early disease diagnosis.
Development of mobile or edge-based decision support systems for farmers and extension workers.
Educational purposes in plant pathology, precision agriculture, and agricultural informatics.
Users are encouraged to cite this dataset when using it in publications and to note the presence of the attached verification certificates as part of the dataset’s quality assurance.
DOI: 10.17632/k3th9gmdsh
title: Investigation on Optimization of Lapping Process Parameters for WC-Ni Cemented Carbide

description: Data for paper “Investigation on Optimization of Lapping Process Parameters for WC-Ni Cemented Carbide”-----------PART I
Including friction coefficient, wear scar diameters of steel balls, morphology of discs, abrasive particle size analysis, and SEM & EDS results.
DOI: 10.17632/k3th9gmdsh.1
title: Investigation on Optimization of Lapping Process Parameters for WC-Ni Cemented Carbide

description: Data for paper “Investigation on Optimization of Lapping Process Parameters for WC-Ni Cemented Carbide”-----------PART I
Including friction coefficient, wear scar diameters of steel balls, morphology of discs, abrasive particle size analysis, and SEM & EDS results.
DOI: 10.17632/jvbzvnm7hf
title: Electrospun Nanofibers for the Delivery of Endolysin/Dendronized Ag-NPs Complex Against Pseudomonas aeruginosa

description: Purpose: As bacterial resistance to antibiotics increases, there is an urgent need to identify alternative antibacterial agents and improve antibacterial materials. One is the controlled transport of antibacterial agents that prevents infection with drug-resistant bacteria, especially in the treatment of difficult-to-heal wounds.
Methods: This work presents the use of electrospun PLCL/PVP (poly(L-lactide-co-ϵ-caprolactone/polyvinylpyrrolidone) nanofibers modified with two agents with antibacterial properties but with different mechanisms of action, that is, dendritic silver nanoparticles (Dend-AgNPs) and endolysin.
Results: The nanomat prepared in this manner showed significant antibacterial activity against antibiotic-resistant Pseudomonas aeruginosa strains, inhibiting their growth and production of key pigments and virulence factors. Moreover, the use of nanofibers as carriers of the selected factors significantly reduced their cytotoxicity towards human fibroblasts.
Conclusion: The results confirmed the possibility of using the presented product as an innovative dressing material, opening new perspectives for the treatment of wounds and combating bacterial infections with drug-resistant bacteria.
DOI: 10.17632/jvbzvnm7hf.1
title: Electrospun Nanofibers for the Delivery of Endolysin/Dendronized Ag-NPs Complex Against Pseudomonas aeruginosa

description: Purpose: As bacterial resistance to antibiotics increases, there is an urgent need to identify alternative antibacterial agents and improve antibacterial materials. One is the controlled transport of antibacterial agents that prevents infection with drug-resistant bacteria, especially in the treatment of difficult-to-heal wounds.
Methods: This work presents the use of electrospun PLCL/PVP (poly(L-lactide-co-ϵ-caprolactone/polyvinylpyrrolidone) nanofibers modified with two agents with antibacterial properties but with different mechanisms of action, that is, dendritic silver nanoparticles (Dend-AgNPs) and endolysin.
Results: The nanomat prepared in this manner showed significant antibacterial activity against antibiotic-resistant Pseudomonas aeruginosa strains, inhibiting their growth and production of key pigments and virulence factors. Moreover, the use of nanofibers as carriers of the selected factors significantly reduced their cytotoxicity towards human fibroblasts.
Conclusion: The results confirmed the possibility of using the presented product as an innovative dressing material, opening new perspectives for the treatment of wounds and combating bacterial infections with drug-resistant bacteria.
DOI: 10.24414/rob-euref-mure00rou
title: GNSS data of MURE00ROU, Targu Mures, Romania

description: Permanent GNSS station dataset as RINEX files
DOI: 10.15468/dl.azmztr
title: Occurrence Download

description: A dataset containing 3693663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is United States of America",
 "StateProvince is Rhode Island"
 ]
}

 The dataset includes 3693663 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053702-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/f2cr7cvp6n
title: Investigation on Optimization of Lapping Process Parameters for WC-Ni Cemented Carbide

description: Data for paper “Investigation on Optimization of Lapping Process Parameters for WC-Ni Cemented Carbide”---------PARTII
Including 46 morphology parameters of diamond lapping surfaces.
DOI: 10.17632/f2cr7cvp6n.1
title: Investigation on Optimization of Lapping Process Parameters for WC-Ni Cemented Carbide

description: Data for paper “Investigation on Optimization of Lapping Process Parameters for WC-Ni Cemented Carbide”---------PARTII
Including 46 morphology parameters of diamond lapping surfaces.
DOI: 10.17632/gs4jpmjxnw
title: Investigation on Optimization of Lapping Process Parameters for WC-Ni Cemented Carbide

description: Data for paper “Investigation on Optimization of Lapping Process Parameters for WC-Ni Cemented Carbide”---------PART III
Including 46 morphology parameters of GC lapping surfaces.
DOI: 10.17632/gs4jpmjxnw.1
title: Investigation on Optimization of Lapping Process Parameters for WC-Ni Cemented Carbide

description: Data for paper “Investigation on Optimization of Lapping Process Parameters for WC-Ni Cemented Carbide”---------PART III
Including 46 morphology parameters of GC lapping surfaces.
DOI: 10.17632/htdx6rznjg.2
title: DNA as Nanotechnology: Reassessing Life’s Origin Through the Lens of Information and Genomic Intelligence

description: We undertake a comprehensive examination of the complex interplay between deoxyribonucleic acid (DNA), nanotechnology, and the origin of life, critically engaging with prevailing abiogenetic models. We advance the hypothesis that DNA functions at the quantum scale or exhibits quantum-mechanical characteristics, demonstrating a level of structural stability and informational complexity that challenges the assumptions underpinning theories of spontaneous molecular evolution. Central to the critique is the recognition of the indispensable role of enzymatic machinery in DNA replication—enzymes that, paradoxically, require DNA for their synthesis—thereby presenting a classic instantiation of the "chicken-and-egg" paradox. We further interrogate the significance of molecular chirality and evaluate the environmental prerequisites for biogenesis, contending that early Earth conditions were inherently unfavorable for the natural formation of either DNA or RNA. By synthesizing insights from molecular biology, quantum physics, and information theory, this analysis supports alternative frameworks. Ultimately, we call for a fundamental reassessment of evolutionary mechanisms and reposition DNA not merely as a passive genetic substrate, but as an advanced, self-organizing system for information storage and processing—one that transcends conventional biological paradigms. We propose a Mathematical proof utilizing Minimal Genome formation and the Universe's limit of Genetic generative capacity.
DOI: 10.17632/s39hxcmpz8
title: XRD and Raman for "Structurally controlled Mg isotope fractionation between talc and fluid: implications for the oceanic and mantle Mg cycle"

description: XRD and Raman data
DOI: 10.17632/s39hxcmpz8.1
title: XRD and Raman for "Structurally controlled Mg isotope fractionation between talc and fluid: implications for the oceanic and mantle Mg cycle"

description: XRD and Raman data
DOI: 10.17632/nfb5wc3t9y
title: Cutaneous lupus damage is negatively predicted by disease subtype and systemic involvement and is associated with worse outcomes in body image – A prospective cohort study

description: Supplemental materials including supplemental methods, tables, and figures are included in this dataset. Supplemental methods outline participant selection, clinical and demographic measures, clinical and demographic measures, outcome and predictor variables, and statistical analyses. Supplemental Figure 1 depicts patient participation over time. Supplemental Table 1 summarizes participant treatment distribution throughout the six-month study duration, and Supplemental Table 2 summarizes the eorrelation of CLASI-A and CLEQoL scores at baseline and after 6 months.
DOI: 10.17632/nfb5wc3t9y.1
title: Cutaneous lupus damage is negatively predicted by disease subtype and systemic involvement and is associated with worse outcomes in body image – A prospective cohort study

description: Supplemental materials including supplemental methods, tables, and figures are included in this dataset. Supplemental methods outline participant selection, clinical and demographic measures, clinical and demographic measures, outcome and predictor variables, and statistical analyses. Supplemental Figure 1 depicts patient participation over time. Supplemental Table 1 summarizes participant treatment distribution throughout the six-month study duration, and Supplemental Table 2 summarizes the eorrelation of CLASI-A and CLEQoL scores at baseline and after 6 months.
DOI: 10.25574/26651
title: Chandra X-ray Observatory ObsId 26651

description: X-ray follow-up of XDINS candidates selected from the eROSITA All-Sky Survey
DOI: 10.15468/dl.urgspj
title: Occurrence Download

description: A dataset containing 935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Deschampsia antarctica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 935 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053720-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/72jtxshg2g
title: Water quality extracts from two wildfire

description: Chemical composition of overland flow water at two wildland fires in SW Australia
DOI: 10.17632/72jtxshg2g.1
title: Water quality extracts from two wildfire

description: Chemical composition of overland flow water at two wildland fires in SW Australia
DOI: 10.17632/gmp28p4b3c
title: Dados de Pesquisa sobre História de Aprendizagem e Seguimento de Regras

description: Dados de pesquisa de manuscrito submetido sobre efeitos do tipo (continências ou regras) e da extensão da história (curta ou prolongada) de aprendizagem sobre a manutenção do seguimento de regras discrepantes, incluindo dados brutos e resultados de análises inferenciais realizadas no software Jamovi 2.3.

Dados brutos do procedimento (dados_fase1.csv; dados_fase2_tentativas.csv; dados_fase2_blocos.csv)
44 participantes 
Os participantes foram distribuídos em grupos de acordo com o tipo de história de aprendizagem (por contingências ou por regras) em combinação com a extensão da história de reforçamento (curta ou prolongada) a qual eram expostos, totalizando quatro grupos experimentais: 
CHC = Contingência História Curta
CHP = Contingência História Prolongada
RHC = Regra História Curta
RHP = Regra História Prolongada
O experimento teve duas fases: 
Fase 1 = Estabelecimento da história de aprendizagem por contingências ou por regras em uma história curta (20 reforços) ou prolongada (100 reforços)
Fase 2 = Avaliação da manutenção do seguimento de regras discrepantes em quatro blocos com 20 tentativas cada. Blocos com contingências programadas correspondentes (C1 e C2) e discrepantes (D1 e D2) da regra foram realizados alternadamente (C1, D1, C2 e D2)
A tarefa experimental consistiu de Matching-to-Sample com um estímulo modelo, dois estímulos de comparação e um estímulo contextual (círculo verde ou vermelho). A regra apresentada aos participantes era “Se o círculo for VERDE, você deve selecionar a figura IGUAL à do topo. Se for VERMELHO, a figura DIFERENTE.”

Análise de Dados
Para a análise de grupo, utilizou-se o software Jamovi 2.3 para realizar as análises estatísticas descritivas e inferenciais. Um valor de p inferior a 0,05 foi considerado significativo. 
40 participantes 
4 grupos: CHC, CHP, RHC e RHP 
A Fase 2 era composta de 4 blocos de 20 tentativas: C1, D1, C2 e D2
 
Análises entre grupos (analises_entre_grupos.pdf):
Foram incluídos os dados brutos da Fase 2 por blocos, registradas as variáveis: Grupo, Participante, Bloco C1, Bloco D1, Bloco C2, Bloco D2 e realizados os testes:
 Shapiro-Wilk (Análises &gt; Exploração &gt; Estatística Descritiva)
Kruskal-Wallis, para comparações entre grupos em cada um dos blocos, e post hoc de comparações múltiplas Dwass-Steel-Critchlow-Flinger (DSCF) em caso de significância estatística. (Análises &gt; ANOVA a um fator Kruskal-Wallis &gt; comparações múltiplas DSCF)

Análises intragrupos (analises_CHC.pdf; analises_CHP.pdf; analises_RHC.pdf; analises_RHP.pdf)
Foram criados quatro arquivos, nos quais foram incluídos os dados brutos da Fase 2 por blocos, registradas as variáveis: Participante, Bloco C1, Bloco D1, Bloco C2, Bloco D2 e realizados os testes:
Friedman, para comparar os desempenhos dos participantes de um mesmo grupo nos quatro blocos de teste, e post hoc de Durbin-Conover em caso de significância estatística. (Análises &gt; ANOVA de medições repetidas Friedman &gt; comparações múltiplas Durbin-Conover)
DOI: 10.15468/dl.k8dq3k
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Venezuela (Bolivarian Republic of), Colombia, Trinidad and Tobago, United States of America, Jamaica)",
 "TaxonKey is Hohenbergia"
 ]
}

 The dataset includes 127 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053721-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqgnyz
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ascobolus pusillus Boud.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231894-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsfz4d
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calathea spiralis H.Kenn."
 ]
}

 The dataset includes 143 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114614-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxtte8
title: Occurrence Download

description: A dataset containing 2870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is PRT.2_1",
 "TaxonKey is Sterna hirundo Linnaeus, 1758",
 "Year 2017-2022"
 ]
}

 The dataset includes 2870 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285035-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hx83y2
title: Occurrence Download

description: A dataset containing 1767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 -90,180 -90,180 -50,-180 -50,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calanus propinquus Brady, 1883",
 "Year 2006-2023"
 ]
}

 The dataset includes 1767 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114599-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5h9zb
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bachia heteropa (Lichtenstein & Martens, 1856)"
 ]
}

 The dataset includes 144 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285055-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgzgt9
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Goeppertia sousandradeana (H.Kenn. & Ganders) Borchs. & S.Suárez"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114610-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.