cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dsxbvvzrrn.2
title: Immunological, hematological and biochemical studies on the adverse effects of ethephon and gibberellic acid in adult albino rat and the possible protective role of vitamin C.

description: Gibberellic acid (GA3) and Ethephon (ETP) are plant growth regulators that are largely used in agriculture of many countries to accelerate and control the production of a wide variety of vegetables and fruits. The purpose of this study was to evaluate the toxicity of GA3 and/or ETP and protective effect of vitamin C on some immunological, hematological and hepatic parameters in male albino rats. Rats were divided into six groups (6 animals per group) as follows: 1) G1, was considered as control group, received saline solution (1ml/kg). 2) G2 received vitamin C (200 mg/kg). 3) G3 received GA3 (75 mg / kg). 4) G4 was given ETP (150 mg/kg) 5) G5 received vitamin C+ GA3 with the same previous doses. 6) G6 was given vitamin C+ ETP with the same previous doses. All doses were given orally and once daily for six weeks. The results demonstrated that administration of GA3 and/or ETP induced alterations and adverse effects in most of the measured parameters. The immunological parameters showed significant decrease in levels of Immunoglobulins (Igs), IgG, IgA, and IgM and significant increase in serum pro-inflammatory cytokines INF-γ, TNF- α, IL-1β and IL-6 compared with control group. In addition, significant increase in WBCs and lymphocytes and significant decrease in neutrophil were recorded. The results also showed a significant decrease in RBCs with a decrease in hemoglobin content compared with control group. Hepatotoxic effect of both GA3 and ETP was indicated in the present study by significant elevated levels of ALT, AST, ALP, GGT, bilirubin and AFP and significant decreased levels of total proteins and albumins. Liver lipid peroxidation (MDA) and serum NO were significantly elevated in GA3 and ETP groups compared with control group, on the other hand, both GA3 and ETP caused a significant decrease in liver antioxidant enzymes SOD and CAT and GSH content. Administration of vitamin C with GA3 and/or ETP ameliorated the all previous studied parameters compared with GA3 and/or ETP groups. So, it could be concluded that both GA3 and ETP could induce immunological disturbance, liver dysfunction and injury, alteration in hematological parameters and oxidative stress and vitamin C could ameliorate these changes and this may be attributed to its anti-inflammatory, antioxidant and free radicals scavenging properties.
DOI: 10.17632/mtv29dtmvr
title: Growth of Dermatology House Calls in the Medicare Population: A National Medicare Analysis

description: Suppplemental Methods
DOI: 10.15468/dl.fjnm8y
title: Occurrence Download

description: A dataset containing 95769 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Montgomeryshire Wildlife Trust records held by BIS"
 ]
}

 The dataset includes 95769 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081576-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mtv29dtmvr.1
title: Growth of Dermatology House Calls in the Medicare Population: A National Medicare Analysis

description: Suppplemental Methods
DOI: 10.15468/dl.art2yu
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxalis corniculata L.",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 104 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081588-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnf5gn
title: Occurrence Download

description: A dataset containing 613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxalis corniculata L.",
 "Country is Romania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 613 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081589-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/92dm-hkev
title: Particle_number_size_distribution at Zeppelin mountain (Ny-Ålesund)

description: Measurement of Particle_number_size_distribution at Zeppelin mountain (Ny-Ålesund)
DOI: 10.48597/ynnf-svwt
title: Measurement of Particle_number_size_distribution at Zeppelin mountain (Ny-Ålesund)

description: Measurement of Particle_number_size_distribution at Zeppelin mountain (Ny-Ålesund)
DOI: 10.48597/3jkz-rq2t
title: Measurement of Particle_number_size_distribution at Zeppelin mountain (Ny-Ålesund)

description: Measurement of Particle_number_size_distribution at Zeppelin mountain (Ny-Ålesund)
DOI: 10.48597/cad4-rvje
title: Measurement of Particle_number_size_distribution at Zeppelin mountain (Ny-Ålesund)

description: Measurement of Particle_number_size_distribution at Zeppelin mountain (Ny-Ålesund)
DOI: 10.17632/rf8w6rjc96
title: Dataset - Impact of Social Media Use on Learning in Higher Education: A Systematic Review of Positive and Negative Effects

description: Description of the Dataset and Research Context

This dataset was generated for a systematic review that investigated the positive and negative impacts of social media use on learning in higher education. The research hypothesized that the educational use of social media platforms can produce both beneficial and adverse effects on student engagement, academic performance, and cognitive development, depending on the platform type, pedagogical goals, and disciplinary context.

Data Collection Process

Data were gathered from peer-reviewed empirical studies published between 2011 and 2025. A systematic search was conducted in four databases: PubMed, Scopus, Web of Science, and ERIC. Eligible studies included those using qualitative, quantitative, or mixed-method approaches, focusing on social media use in higher education contexts. Only studies published in English or Spanish were included. The selection process followed PRISMA 2020 guidelines and was managed using the Rayyan platform. Calibration between two independent reviewers was carried out, and inter-rater agreement was measured using Cohen’s Kappa.

A standardized Excel spreadsheet was used to extract and structure the data, which included bibliographic details, study characteristics, country, academic field, education level, social media platforms used, educational purposes, and reported outcomes (positive or negative). Both qualitative and quantitative data were collected.

Key Findings

The data revealed that Instagram, WhatsApp, and YouTube were the most frequently used platforms. Positive outcomes often included increased student engagement, collaborative learning, and knowledge sharing. However, negative outcomes such as distraction, reduced academic focus, and information overload were also recurrent. Studies represented 38 countries, with Latin America, Europe, and Asia being the most represented regions.

A mixed-methods synthesis was performed. Quantitative patterns were analyzed using descriptive statistics in RStudio (version 2025.05.0), while qualitative data were inductively coded and grouped into thematic categories related to educational outcomes and social media use patterns.

Interpretation and Use

This dataset provides structured empirical evidence on how social media impacts university-level learning environments. It can be used by researchers conducting further meta-analyses, education policymakers exploring digital integration, and educators aiming to make informed decisions about platform use. All data were independently verified by two reviewers. The full dataset and codebook are included in the repository to support reproducibility and secondary analysis.
DOI: 10.17632/rf8w6rjc96.1
title: Dataset - Impact of Social Media Use on Learning in Higher Education: A Systematic Review of Positive and Negative Effects

description: Description of the Dataset and Research Context

This dataset was generated for a systematic review that investigated the positive and negative impacts of social media use on learning in higher education. The research hypothesized that the educational use of social media platforms can produce both beneficial and adverse effects on student engagement, academic performance, and cognitive development, depending on the platform type, pedagogical goals, and disciplinary context.

Data Collection Process

Data were gathered from peer-reviewed empirical studies published between 2011 and 2025. A systematic search was conducted in four databases: PubMed, Scopus, Web of Science, and ERIC. Eligible studies included those using qualitative, quantitative, or mixed-method approaches, focusing on social media use in higher education contexts. Only studies published in English or Spanish were included. The selection process followed PRISMA 2020 guidelines and was managed using the Rayyan platform. Calibration between two independent reviewers was carried out, and inter-rater agreement was measured using Cohen’s Kappa.

A standardized Excel spreadsheet was used to extract and structure the data, which included bibliographic details, study characteristics, country, academic field, education level, social media platforms used, educational purposes, and reported outcomes (positive or negative). Both qualitative and quantitative data were collected.

Key Findings

The data revealed that Instagram, WhatsApp, and YouTube were the most frequently used platforms. Positive outcomes often included increased student engagement, collaborative learning, and knowledge sharing. However, negative outcomes such as distraction, reduced academic focus, and information overload were also recurrent. Studies represented 38 countries, with Latin America, Europe, and Asia being the most represented regions.

A mixed-methods synthesis was performed. Quantitative patterns were analyzed using descriptive statistics in RStudio (version 2025.05.0), while qualitative data were inductively coded and grouped into thematic categories related to educational outcomes and social media use patterns.

Interpretation and Use

This dataset provides structured empirical evidence on how social media impacts university-level learning environments. It can be used by researchers conducting further meta-analyses, education policymakers exploring digital integration, and educators aiming to make informed decisions about platform use. All data were independently verified by two reviewers. The full dataset and codebook are included in the repository to support reproducibility and secondary analysis.
DOI: 10.5281/zenodo.15776784
title: Revistas de concurso BUCLM 2025
DOI: 10.5281/zenodo.15776803
title: Revistas de concurso BUCLM 2025
DOI: 10.15468/dl.cr9qcj
title: Occurrence Download

description: A dataset containing 1117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Melaniparus rufiventris (Barboza du Bocage, 1877)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1117 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081592-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/sk16zm
title: Pogue Springs Dye Trace Report, Western Travis County, Texas

description: This technical report details a dye trace study conducted in and around Milton Reimers Ranch Park, western Travis County, Texas, initiated in April 2024. The study’s primary objective was to refine the existing conceptual hydrogeologic model of the Middle Trinity Aquifer, specifically within the Pogue Creek Watershed. This effort is crucial for developing regulatory and conservation strategies to preserve the diminishing groundwater levels and springflow in the region, which are threatened by persistent drought and excessive groundwater pumping. We injected three distinct fluorescent dyes—fluorescein, rhodamine WT, and eosine—at three sites within the Pogue Creek watershed: a natural recharge feature (swallet) and two wells. Dye monitoring occurred at 12 spring, stream, and well locations across four watersheds, primarily using activated charcoal detectors and, in some cases, field fluorimeters. The study aimed to delineate local springsheds by testing if groundwater from the Pogue Creek Watershed flows exclusively to Pogue Spring or also to springs in neighboring watersheds. Results indicate successful detection of only one dye, eosine, injected into the Reimers Park Abandoned Windmill Well. This dye was detected at Pogue Spring, located approximately 594 feet away, between 116 and 156 days post-injection, and has persisted for at least 150 days. Therefore, the estimated average groundwater velocity between the injection well and Pogue Spring is 4.5 ft/day. Dye was only detected via cumulative absorption on charcoal samples, as concentrations in water samples remained below the method detection limit. Field fluorimeters did not detect dye, showing false positives correlated with rainfall and likely sources of natural fluorescence. The observed groundwater velocity, while slower than typical conduit flow in karst systems, is faster than estimated matrix flow alone through limestone, suggesting components of conduit and fracture flow in addition to matrix flow within the Cow Creek Limestone. This study validates the existing conceptual model of a karstic Upper Cow Creek Limestone and highlights the hydrologic heterogeneity between the Upper and Lower Cow Creek units.
DOI: 10.15468/dl.gmtzn2
title: Occurrence Download

description: A dataset containing 438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxalis corniculata L.",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 438 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081593-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yhcymcwvvr.1
title: Increased Risk of Renal Disease in Patients with Hidradenitis Suppurativa

description: Supplemental Data from TriNetX for manuscript entitled: "Increased Risk of Renal Disease in Patients with Hidradenitis Suppurativa"
Background: Hidradenitis suppurativa (HS) has been linked to systemic comorbidities, but effects on kidney health remain underrecognized.
Objective: Quantify the risk of major renal outcomes in adults with HS.
Methods: Retrospective cohort study using de-identified electronic health records (2005-2025) from 102 TriNetX network institutions. Adults with HS were 1:1 propensity-matched to acne controls on age, sex, race/ethnicity, hypertension, diabetes, and nicotine dependence (231,036 pairs). Using ICD-10 codes, new-onset chronic kidney disease, acute kidney injury, end-stage renal disease, and dialysis requirement were tracked from one day post-index through available follow-up (~3 years). Cumulative incidence, risk ratios (RR), and Cox hazard ratios (HR) were calculated.
Results: HS cohort with higher incidence of CKD (3.4% vs 2.9%; RR 1.16; HR 1.30), AKI (4.3% vs 3.0%; RR 1.41; HR 1.59), ESRD (0.6% vs 0.4%; RR 1.38; HR 1.54), and dialysis (0.7% vs 0.4%; RR 1.55; HR 1.73); p &lt; 0.001. Kaplan-Meier curves indicated earlier and more frequent renal dysfunction in HS.
Limitations: Observational design, diagnosis code reliance, and ~45% subjects missing data body-mass index may inflate risk estimates.
Conclusion: Adults with HS face a meaningful increase in incident and progressive kidney disease, stressing the need for routine renal risk assessment in HS.
DOI: 10.15468/dl.k43xfz
title: Occurrence Download

description: A dataset containing 2991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "GadmGid is ITA.18_1",
 "TaxonKey is one of (Ephemeroptera, Trichoptera, Plecoptera)"
 ]
}

 The dataset includes 2991 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081594-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14791417
title: Field and Laboratory Data on Cocoon Hatching Dynamics of Amynthas tokioensis

description: This dataset supports the manuscript “Annual Endogenous Cycle and Thermal Drivers of Cocoon Hatching in the Earthworm Amynthas tokioensis” and includes both field-collected and experimental data. It contains:

 

• Soil temperature records from 2014–2017, recorded every 6 hours at 5 cm depth using iButtons

• Earthworm collection data including date, location, stage, and size

• Laboratory incubation results from 2023–2024 analyzing cocoon hatching times and embryonic development stages under controlled temperatures

 

The dataset also includes an R script used for statistical analysis and figure generation (Kaplan-Meier survival curves, Cox models, and developmental outcome summaries).
DOI: 10.5281/zenodo.14791418
title: Field and Laboratory Data on Cocoon Hatching Dynamics of Amynthas tokioensis

description: This dataset supports the manuscript “Annual Endogenous Cycle and Thermal Drivers of Cocoon Hatching in the Earthworm Amynthas tokioensis” and includes both field-collected and experimental data. It contains:

 

• Soil temperature records from 2014–2017, recorded every 6 hours at 5 cm depth using iButtons

• Earthworm collection data including date, location, stage, and size

• Laboratory incubation results from 2023–2024 analyzing cocoon hatching times and embryonic development stages under controlled temperatures

 

The dataset also includes an R script used for statistical analysis and figure generation (Kaplan-Meier survival curves, Cox models, and developmental outcome summaries).
DOI: 10.17632/jr67c674h6
title: Radiotherapy Versus Imiquimod for Complex Lentigo Maligna: a Phase 3 Randomized Clinical Trial

description: Background
For patients with lentigo maligna who are not suitable for surgery, radiotherapy or topical imiquimod are alternative non-surgical treatments. 
Objective
This trial aimed to assess the efficacy, safety and patient-reported health-related quality of life (HRQL).
Methods
A multi-institutional, phase 3 randomized trial conducted between August 2015 and November 2021. Patients were randomized to radiotherapy or imiquimod. Primary endpoint was treatment failure at 24 months. Secondary endpoints included response at 6 months, development of invasive disease, toxicity and HRQL.
Results
Between August 2015 and November 2021, 126 patients were randomized. The response rate was 95% at 6 months in both groups. The treatment failure rates were low with 12 failures in the radiotherapy group and six in the imiquimod group at 24 months (OR 2.35, 95% CI 0.82-6.75, p=0.11). Both were well tolerated with mainly grade 1 and 2 acute skin toxicity with no significant differences between groups in skin symptoms or HRQL at long-term. Patients had significantly better emotional scores after treatment than at baseline in both groups. The trial is underpowered due to early cessation of recruitment.
Conclusions
Both radiotherapy and imiquimod are efficient and well-tolerated treatments for LM. Neither have negative impacts on HRQL at 24 months.
DOI: 10.17632/jr67c674h6.1
title: Radiotherapy Versus Imiquimod for Complex Lentigo Maligna: a Phase 3 Randomized Clinical Trial

description: Background
For patients with lentigo maligna who are not suitable for surgery, radiotherapy or topical imiquimod are alternative non-surgical treatments. 
Objective
This trial aimed to assess the efficacy, safety and patient-reported health-related quality of life (HRQL).
Methods
A multi-institutional, phase 3 randomized trial conducted between August 2015 and November 2021. Patients were randomized to radiotherapy or imiquimod. Primary endpoint was treatment failure at 24 months. Secondary endpoints included response at 6 months, development of invasive disease, toxicity and HRQL.
Results
Between August 2015 and November 2021, 126 patients were randomized. The response rate was 95% at 6 months in both groups. The treatment failure rates were low with 12 failures in the radiotherapy group and six in the imiquimod group at 24 months (OR 2.35, 95% CI 0.82-6.75, p=0.11). Both were well tolerated with mainly grade 1 and 2 acute skin toxicity with no significant differences between groups in skin symptoms or HRQL at long-term. Patients had significantly better emotional scores after treatment than at baseline in both groups. The trial is underpowered due to early cessation of recruitment.
Conclusions
Both radiotherapy and imiquimod are efficient and well-tolerated treatments for LM. Neither have negative impacts on HRQL at 24 months.
DOI: 10.17632/skvrd2s9gg.1
title: A dataset of medicinal plant leaves from Bangladesh

description: This dataset contains a collection of 1,094 original JPG images of medicinal leaves, captured in natural conditions from the rural jungle area of Guadanga village, Phulpur, Mymensingh, Bangladesh. The images are organized into six folders, each representing a distinct and commonly found medicinal plant species:

• Centella Asiatica

• Coccinia Grandis

• Eclipta Prostrata

• Mikania Micrantha

• Murraya Koenigii

• Stephania Japonica

The original leaf images were captured using two high-resolution smartphone cameras — Google Pixel 5 and Google Pixel 6a — to ensure clear and detailed visuals suitable for a variety of machine learning and image processing tasks. All images are unprocessed, making the dataset ideal for researchers who wish to work with real-world, raw image data.

To support the development of deeper and more robust deep learning models, this dataset also includes 2,188 augmented JPG images, generated from the original set using standard image augmentation techniques. These augmentations help improve generalization and model performance on complex leaf classification tasks.

Dataset Summary:
Total Images:

Original: 1,094 JPG images

Augmented: 2,188 JPG images

Plant Classes: 6 distinct medicinal plant species

Image Format: JPG

Image Organization: Organized into 6 folders named after plant species

Capture Devices: Google Pixel 5 and Google Pixel 6a

Source Location: Jungle of Guadanga, Phulpur, Mymensingh, Bangladesh

Purpose: Suitable for tasks such as medicinal plant classification, leaf recognition, image segmentation, and deep learning-based botanical analysis.

This dataset provides a rich and realistic foundation for researchers and practitioners working in domains such as plant pathology, botany, herbal medicine identification, and AI-driven agriculture.
DOI: 10.17632/s2fcfb8phh
title: Analysis of multiome sequencing data from neuroblastoma cell lines

description: R scripts used to process and analyze multiome (joint GEX and ATAC) single-nucleus sequencing data from human neuroblastoma cell lines.
DOI: 10.17632/s2fcfb8phh.2
title: Analysis of multiome sequencing data from neuroblastoma cell lines

description: R scripts used to process and analyze multiome (joint GEX and ATAC) single-nucleus sequencing data from human neuroblastoma cell lines.