cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30230866
title: Supplementary Material for: Evaluation of the cytomorphology, immunophenotype, and molecular genetics of lymphoblastic lymphoma/leukemia in serous effusion

description: Introduction: This study aims to elucidate the spectrum of clinical manifestations, cytomorphology, immunophenotype, and the molecular genetic features of lymphoblastic lymphoma/acute lymphoblastic leukemia (LBL/ALL) in the context of serous effusions (SE). Methods: A retrospective analysis evaluated the cytomorphological features, immunophenotype, and the cyto-histological correlations of twenty-one LBL/ALL associated with SE. Concurrently, bone marrow (BM) aspiration samples were analyzed using an integrated approach, including flow cytometry, RT-PCR, next generation sequencing (NGS) or whole transcriptome sequencing (WTS). Results: Of the 21 cases of SE LBL/ALL, 16 cases were T-LBL/ALL and 5 cases were B-LBL/ALL. The cases included 17 pleural, 2 peritoneal, and 2 pericardial fluid samples. Both T-LBL/ALL and B-LBL/ALL in SE exhibit a blast-like morphology, characterized by small to medium size, irregular nuclear membranes, and inconspicuous nucleoli, alongside frequent nuclear fragmentation and apoptotic bodies. LBL/ALL express immaturity markers such as TdT (7/17, 41.2%), CD10 (6/12, 50%), CD43 (8/8, 100%), and CD99 (6/6, 100%). T-LBL/ALL and B-LBL/ALL specifically express T-cell markers [CD2 (3/6, 50%), CD3 (10/12, 83.3%), CD5 (2/11, 18.2%), CD7 (10/10, 100%)] or B-cell markers [CD20 (3/5, 60%), CD79a (4/4,100%), PAX5 (5/5, 100%)], respectively. A high proportion of primitive and immature lymphocytes exceeding 25% in BM was observed in T-LBL/ALL (5/7) and in one case of B-LBL/ALL. No BCR/ABL gene rearrangements were detected in any cases. Furthermore, fusion gene MLL::ENL and PLCALM::MLLT10, as well as mutations in genes including WT1, NOTCH1, PAX5, IKZF, ARID1A, BCOR, SETD2, ARID2, TET2, JAK3, NF1, and CEBPA, were identified in LBL/ALL through RT-PCR, NGS, or WTS. Conclusion: The integration of clinical manifestations, cytological evaluation, and gene expression profiles is instrumental in achieving accurate diagnosis, sub-classification, and prognosis of LBL/ALL within the context of SE.
DOI: 10.6084/m9.figshare.30230866.v1
title: Supplementary Material for: Evaluation of the cytomorphology, immunophenotype, and molecular genetics of lymphoblastic lymphoma/leukemia in serous effusion

description: Introduction: This study aims to elucidate the spectrum of clinical manifestations, cytomorphology, immunophenotype, and the molecular genetic features of lymphoblastic lymphoma/acute lymphoblastic leukemia (LBL/ALL) in the context of serous effusions (SE). Methods: A retrospective analysis evaluated the cytomorphological features, immunophenotype, and the cyto-histological correlations of twenty-one LBL/ALL associated with SE. Concurrently, bone marrow (BM) aspiration samples were analyzed using an integrated approach, including flow cytometry, RT-PCR, next generation sequencing (NGS) or whole transcriptome sequencing (WTS). Results: Of the 21 cases of SE LBL/ALL, 16 cases were T-LBL/ALL and 5 cases were B-LBL/ALL. The cases included 17 pleural, 2 peritoneal, and 2 pericardial fluid samples. Both T-LBL/ALL and B-LBL/ALL in SE exhibit a blast-like morphology, characterized by small to medium size, irregular nuclear membranes, and inconspicuous nucleoli, alongside frequent nuclear fragmentation and apoptotic bodies. LBL/ALL express immaturity markers such as TdT (7/17, 41.2%), CD10 (6/12, 50%), CD43 (8/8, 100%), and CD99 (6/6, 100%). T-LBL/ALL and B-LBL/ALL specifically express T-cell markers [CD2 (3/6, 50%), CD3 (10/12, 83.3%), CD5 (2/11, 18.2%), CD7 (10/10, 100%)] or B-cell markers [CD20 (3/5, 60%), CD79a (4/4,100%), PAX5 (5/5, 100%)], respectively. A high proportion of primitive and immature lymphocytes exceeding 25% in BM was observed in T-LBL/ALL (5/7) and in one case of B-LBL/ALL. No BCR/ABL gene rearrangements were detected in any cases. Furthermore, fusion gene MLL::ENL and PLCALM::MLLT10, as well as mutations in genes including WT1, NOTCH1, PAX5, IKZF, ARID1A, BCOR, SETD2, ARID2, TET2, JAK3, NF1, and CEBPA, were identified in LBL/ALL through RT-PCR, NGS, or WTS. Conclusion: The integration of clinical manifestations, cytological evaluation, and gene expression profiles is instrumental in achieving accurate diagnosis, sub-classification, and prognosis of LBL/ALL within the context of SE.
DOI: 10.15468/dl.namqbh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paradoxornis unicolor",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028600-250920141307145/datasets/export for details.
DOI: 10.6084/m9.figshare.30230869
title: Supplementary Material for: Brief cognitive screening tools for dementia in low-educated population from South America: A systematic review

description: Introduction.
Despite less education being common in Latin America, there is no systematic review on the use of brief cognitive screening tools in illiterate and low-educated adults in the region. We systematically reviewed brief cognitive tests used to identify dementia in illiterate or low-educated adults from South America.
Methods.
A systematic review was conducted according to the PRISMA and Cochrane guidelines. We searched four major databases: PubMed, Scopus, Web of Science, and EMBASE, for studies up to September 2023, and included observational studies that reported at least sensitivity, specificity, area under the receiver operating characteristic (ROC) curve, positive predictive value, or negative predictive value of dementia screening tools in illiterate or low-educated (less than 6 years of education) adults from South America.
Results.
Most studies in samples with illiteracy or low education across South America used brief cognitive screening tools adapted to the local population's language. Seventeen tests were identified, among them the Mini-Mental State Examination (MMSE) and Rowland Universal Dementia Assessment Scale(RUDAS) were the more common tools with good diagnostic accuracy in people with dementia. The sensitivity and specificity of reported brief cognitive screening tools were at least 90% and the area under the ROC curve was higher than 0.95.
Conclusions.
The cut-off points for detecting dementia in illiterates and the low-educated adult population of South America should be adjusted for most brief cognitive tests. Developing specific and sensitive cognitive batteries for our region for cognitive evaluation in low-educated/illiterate participants is mandatory, including specific functionality evaluation.
DOI: 10.6084/m9.figshare.30230869.v1
title: Supplementary Material for: Brief cognitive screening tools for dementia in low-educated population from South America: A systematic review

description: Introduction.
Despite less education being common in Latin America, there is no systematic review on the use of brief cognitive screening tools in illiterate and low-educated adults in the region. We systematically reviewed brief cognitive tests used to identify dementia in illiterate or low-educated adults from South America.
Methods.
A systematic review was conducted according to the PRISMA and Cochrane guidelines. We searched four major databases: PubMed, Scopus, Web of Science, and EMBASE, for studies up to September 2023, and included observational studies that reported at least sensitivity, specificity, area under the receiver operating characteristic (ROC) curve, positive predictive value, or negative predictive value of dementia screening tools in illiterate or low-educated (less than 6 years of education) adults from South America.
Results.
Most studies in samples with illiteracy or low education across South America used brief cognitive screening tools adapted to the local population's language. Seventeen tests were identified, among them the Mini-Mental State Examination (MMSE) and Rowland Universal Dementia Assessment Scale(RUDAS) were the more common tools with good diagnostic accuracy in people with dementia. The sensitivity and specificity of reported brief cognitive screening tools were at least 90% and the area under the ROC curve was higher than 0.95.
Conclusions.
The cut-off points for detecting dementia in illiterates and the low-educated adult population of South America should be adjusted for most brief cognitive tests. Developing specific and sensitive cognitive batteries for our region for cognitive evaluation in low-educated/illiterate participants is mandatory, including specific functionality evaluation.
DOI: 10.5281/zenodo.17061427
title: NVB-cpu/PathogenPrevalenceData: Pathogen Prevalence Paper Data

description: CSV file containing gathered data used in Pathogen Prevalence in the Infant Gut. Composed of publicly available metagenomic data as described here: https://linkinghub.elsevier.com/retrieve/pii/S235239642500074X
DOI: 10.5281/zenodo.17223050
title: NVB-cpu/PathogenPrevalenceData: Pathogen Prevalence Paper Data

description: CSV file containing gathered data used in Pathogen Prevalence in the Infant Gut. Composed of publicly available metagenomic data as described here: https://linkinghub.elsevier.com/retrieve/pii/S235239642500074X
DOI: 10.17632/rm6sfz2h7b
title: Dados relacionados a qualidade de água e saneamento nos países do G7

description: Este banco de dados é relacionado a qualidade de água e saneamento geridos de forma boa e ruim nos países que compõem o G7, contém 9 variáveis com esse tema durante o período de 2000 à 2022, os valores estão em formato geral, porém sua forma a ser interpretada é em porcentagem.
DOI: 10.17632/rm6sfz2h7b.1
title: Dados relacionados a qualidade de água e saneamento nos países do G7

description: Este banco de dados é relacionado a qualidade de água e saneamento geridos de forma boa e ruim nos países que compõem o G7, contém 9 variáveis com esse tema durante o período de 2000 à 2022, os valores estão em formato geral, porém sua forma a ser interpretada é em porcentagem.
DOI: 10.17632/hyvhyw3xxw.2
title: Contagios_COVID_Python

description: Una empresa tecnológica de análisis de datos, solicita como proyecto analizar un gran volumen de datos correspondiente a los contagios de covid-19 en Colombia.
Esta información ha sido organizada dentro de un archivo con extensión ‘.CSV’ el cual contiene 9960 casos de COVID en Colombia. Usted debe procesar y extraer datos del sexo de las personas con mayor número de contagios.
DOI: 10.17632/52sstfpf5p
title: High-Resolution Images of Lychee and Jackfruit Plant Diseases for Classification and Detection

description: This dataset consists of high-resolution images of lychee (Litchi chinensis) and jackfruit (Artocarpus heterophyllus) plants collected from Biral, Dinajpur, Bangladesh, a region renowned for its lychee and jackfruit production. The dataset was captured between 7th and 12th November 2025 and includes a total of 8,000 images. The collection comprises 3,856 images of lychee leaves, which after augmentation, total 6,000 images, and 628 images of jackfruit leaves, which after augmentation, total 2,000 images.

The dataset is categorized into eight distinct disease types and plant conditions:

Lychee Leaves:
Anthracnose Cloudy: 971 images
Algal Spot Indirect: 697 images
Dry Leaves: 477 images
Entomosporium Spot: 407 images
Leaf Mites Direct: 657 images
Mayetiola PostRain: 647 images
Jackfruit Leaves:
Mature Jackfruit Leaf: 127 images
Young Jackfruit Leaf: 501 images

Augmented Dataset (After Augmentation):

Lychee Leaves (Augmented to 6,000 images):
Anthracnose Cloudy: 1,000 images
Algal Spot Indirect: 1,000 images
Dry Leaves: 1,000 images
Entomosporium Spot: 1,000 images
Leaf Mites Direct: 1,000 images
Mayetiola PostRain: 1,000 images
Jackfruit Leaves (Augmented to 2,000 images):
Mature Jackfruit Leaf: 1,000 images
Young Jackfruit Leaf: 1,000 images

Data Collection Process:
The images were captured using smartphones (Poco F5 and Google Pixel 7) from various angles and under different lighting conditions, ensuring a variety of perspectives and environmental factors.

Image Resolution:
Original Resolution: 3024 × 4032 pixels
Processed Resolution: 512 × 512 pixels for efficient processing

Primary Goal of the Dataset:
This dataset is designed to assist in the development of machine learning and deep learning models for:
Classification of disease types in lychee and jackfruit plants
Detection of disease symptoms at various stages
Monitoring plant health and growth conditions

Use Cases:
Agricultural Disease Management: Facilitating early detection and monitoring of diseases in crops.
Precision Farming: Enhancing crop health monitoring for better yield prediction and resource allocation.
Plant Pathology: Advancing the study and understanding of plant diseases in lychee and jackfruit.

This dataset serves as a valuable resource for researchers and agricultural professionals focused on improving disease management and precision farming practices. With its diversity of plant conditions and disease types, it aids in the development of advanced systems for crop health monitoring, disease detection, and the enhancement of agricultural practices for lychee and jackfruit plants.
DOI: 10.17632/52sstfpf5p.4
title: High-Resolution Images of Lychee and Jackfruit Plant Diseases for Classification and Detection

description: This dataset consists of high-resolution images of lychee (Litchi chinensis) and jackfruit (Artocarpus heterophyllus) plants collected from Biral, Dinajpur, Bangladesh, a region renowned for its lychee and jackfruit production. The dataset was captured between 7th and 12th November 2025 and includes a total of 8,000 images. The collection comprises 3,856 images of lychee leaves, which after augmentation, total 6,000 images, and 628 images of jackfruit leaves, which after augmentation, total 2,000 images.

The dataset is categorized into eight distinct disease types and plant conditions:

Lychee Leaves:
Anthracnose Cloudy: 971 images
Algal Spot Indirect: 697 images
Dry Leaves: 477 images
Entomosporium Spot: 407 images
Leaf Mites Direct: 657 images
Mayetiola PostRain: 647 images
Jackfruit Leaves:
Mature Jackfruit Leaf: 127 images
Young Jackfruit Leaf: 501 images

Augmented Dataset (After Augmentation):

Lychee Leaves (Augmented to 6,000 images):
Anthracnose Cloudy: 1,000 images
Algal Spot Indirect: 1,000 images
Dry Leaves: 1,000 images
Entomosporium Spot: 1,000 images
Leaf Mites Direct: 1,000 images
Mayetiola PostRain: 1,000 images
Jackfruit Leaves (Augmented to 2,000 images):
Mature Jackfruit Leaf: 1,000 images
Young Jackfruit Leaf: 1,000 images

Data Collection Process:
The images were captured using smartphones (Poco F5 and Google Pixel 7) from various angles and under different lighting conditions, ensuring a variety of perspectives and environmental factors.

Image Resolution:
Original Resolution: 3024 × 4032 pixels
Processed Resolution: 512 × 512 pixels for efficient processing

Primary Goal of the Dataset:
This dataset is designed to assist in the development of machine learning and deep learning models for:
Classification of disease types in lychee and jackfruit plants
Detection of disease symptoms at various stages
Monitoring plant health and growth conditions

Use Cases:
Agricultural Disease Management: Facilitating early detection and monitoring of diseases in crops.
Precision Farming: Enhancing crop health monitoring for better yield prediction and resource allocation.
Plant Pathology: Advancing the study and understanding of plant diseases in lychee and jackfruit.

This dataset serves as a valuable resource for researchers and agricultural professionals focused on improving disease management and precision farming practices. With its diversity of plant conditions and disease types, it aids in the development of advanced systems for crop health monitoring, disease detection, and the enhancement of agricultural practices for lychee and jackfruit plants.
DOI: 10.17632/9hsr4bxfgt
title: Data: Dynamic quantile-frequency connectedness between speculative activities

description: The dataset is used to explore spillover effects of speculative activities across financial, energy, precious metal, and agricultural markets from a quantile-frequency perspective, and analyse drivers of their total connectedness.
DOI: 10.17632/9hsr4bxfgt.1
title: Data: Dynamic quantile-frequency connectedness between speculative activities

description: The dataset is used to explore spillover effects of speculative activities across financial, energy, precious metal, and agricultural markets from a quantile-frequency perspective, and analyse drivers of their total connectedness.
DOI: 10.5281/zenodo.17222864
title: Building Consumer Loyalty: Understanding E-Satisfaction in Fast-Fashion Purchases on E-Commerce Platform

description: The research's raw data is present in an Excel file with twelve sheets. The Form Response sheet has the main dataset which contains complete responses from 441 subjects that completed the questionnaire survey. The data consists of demographic variables such as gender, age range, domicile, occupation, marital status, and income level. In addition, it captures respondents' shopping behavior on Shopee regarding their frequency of purchases of fast-fashion items and respondents' evaluations of Shopee responses through Likert-scale items (1–5). These Likert-scale evaluations include information quality, service quality, price perceptions, overall satisfaction, and loyalty intentions to Shopee as an e-commerce platform.

The demographics distribution of Respondents is summarized in the Respondent Profile sheet with counts of gender (135 males and 306 females) and other demographics presented in the profile format as a recap table. 

Several sheets contain outputs of the measurement model evaluation of the PLS-SEM procedure. For example, the Outer Loadings sheet reports the indicator reliability values for the constructs of Information Quality (IQ), Perceived Value (PV), and Loyalty (LO). The Construct Reliability sheet provides the Cronbach’s Alpha, Composite Reliability, and AVE values which indicated that the majority of models are above the threshold levels for reliability and evidence of convergent validity. 

The Discriminant Validity and Fornell Larcker sheets demonstrate that the constructs are different from one another. The Model Fit sheet reports indices of the model's goodness-of-fit (SRMR, d_ULS, d_G, Chi-square and NFI). 

Lastly, the Path Coefficients and Hypothesis Testing sheets provide the results of the structural model, including the magnitude and significance of the relationships between constructs as shown through path coefficients, t-statistics, and p-values, as well a note about whether each hypothesis is accepted or rejected. 

Overall, while the raw data file contains the original typos questionnaire, it also includes the statistical analyses necessary to confirm the measurement instruments and test the proposed structural model of consumer loyalty in fast fashion purchases on Shopee platform.
DOI: 10.15468/dl.kuajqm
title: Occurrence Download

description: A dataset containing 538315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oryctolagus cuniculus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 538315 records from 2480 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028575-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cekjne
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Sweden",
 "Year 1000-1908",
 "HasCoordinate is true",
 "TaxonKey is Mustelidae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 46 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004977-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xe3zfj
title: Occurrence Download

description: A dataset containing 57689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Zostera marina L."
 ]
}

 The dataset includes 57689 records from 347 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162507-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5t8p8f
title: Occurrence Download

description: A dataset containing 376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthus ilicifolius L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 376 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006112-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zq2gt
title: Occurrence Download

description: A dataset containing 262129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phoca vitulina Linnaeus, 1758"
 ]
}

 The dataset includes 262129 records from 303 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162623-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.otn0cw
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenospiza baileyi Bangs, 1931",
 "Country is Mexico",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 2010"
 ]
}

 The dataset includes 98 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004978-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfy6sv
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Colombia",
 "Geometry POLYGON((-101.89087 -21.55635,-24.10913 -21.55635,-24.10913 9.55635,-101.89087 9.55635,-101.89087 -21.55635))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Inga auristellae Harms",
 "Year 1990-2023"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162509-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yg49ts
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendroaspis angusticeps (Smith, 1849)"
 ]
}

 The dataset includes 238 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004978-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.