cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/57869zvy6y.1
title: Residential waste data (hourly,meshgin-shahr,iran)

description: Residential Waste Data (Hourly, Meshgin-Shahr, Iran)

The Residential Waste Data for Meshgin-Shahr provides an hourly breakdown of household waste generation in a typical medium-sized house within the region. This dataset was generated using a Python-based simulation model, incorporating real-world waste generation trends and daily household patterns.

Key Features:
Source: Computed using a Python algorithm, based on an estimated 1.88 kg of daily waste per household.
Resolution: Hourly waste generation data, capturing daily variations and peak times.
Geographical Scope: Focused on Meshgin-Shahr, Iran, reflecting local waste production characteristics.
Methodology: The model considers peak waste generation hours, ensuring realistic distribution throughout the day.
Applications: Useful for waste management planning, sustainability studies, urban resource optimization, and environmental impact assessments.
This dataset serves as a crucial tool for waste management authorities, environmental researchers, and policymakers aiming to enhance waste reduction and recycling strategies in Meshgin-Shahr.
DOI: 10.17632/d99rf6wt5s.1
title: Qalbi: Cardiovascular Disease (CVD) Dataset

description: The Cardiovascular Disease (CVD) Dataset was curated from the widely recognized Scopus academic database. It includes data about 43,398 English research articles related to CVD published in 2022, focused on the academic disciplines of Computer Science and Medicine. The dataset is restricted to journal articles and includes key attributes: Title, Year, DOI, Abstract, Authors, and Keywords.

This dataset was developed to identify parameters from Scopus and extract detailed taxonomies, offering insights into academic perspectives on CVD [1]. The dataset and its analysis are integral to our broader research and development strategy, focusing on multiperspective parameter discovery and the advancement of autonomous systems [2]. Our approach leverages big data, deep learning, and digital media to explore and analyze cross-sectional, multi-perspective insights, supporting improved decision-making and more effective governance frameworks. These perspectives span academic, public, industrial, and governmental domains. We have applied this approach across various fields and sectors, including AI explainability and governance [3], [4], energy [5], education [6], healthcare [7]–[9], transportation [10], [11], labor markets [12], [13], tourism [14], service industries [15], and others.

References
[1] doi: 10.2139/SSRN.5086729.
[2] doi: 10.54377/95e5-08b3
[3] doi: 10.3389/FNINF.2024.1472653/BIBTEX.
[4] doi: 10.2139/SSRN.5086713.
[5] doi: 10.3389/FENRG.2023.1071291.
[6] doi: 10.3389/FRSC.2022.871171/BIBTEX.
[7] doi: 10.3390/SU14063313.
[8] doi: 10.3390/TOXICS11030287.
[9] doi: 10.3390/app10041398.
[10] doi: 10.3390/SU14095711.
[11] doi: 10.3390/s21092993.
[12] doi: 10.3390/JOURNALMEDIA4010010.
[13] doi: 10.1177/00368504231213788.
[14] doi: 10.3390/SU15054166.
[15] doi: 10.3390/SU152216003.
DOI: 10.17632/bj73zsvkxh.1
title: precise output of optimization model

description: here exact output of optimization model can be found per scenario
DOI: 10.17632/fn7bpwgg2m.1
title: Microstructure of remolded loess

description: The pore perimeter and other data of remolded loess with different dry densities are included in the set
DOI: 10.17632/6t24242s4m.1
title: Optimization code for managing energy system *hybrid RES*

description: a python code modeling energy system management
DOI: 10.15468/dl.z8cmzd
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudolarix amabilis (J.Nelson) Rehd.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 190 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004148-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pmzy4frwnr.2
title: O_elegans_termal_data

description: Results of the thermal biology investigations of the snake eyed lizard Ophisops elegans.

Location: Beytepe Campus, Ankara, Turkey

Field recorded thermal data
Columns:
Tb: Body temperature of lizards measured from the cloak with Fluke 54/II thermometer with a t type thermocouple.
SVL: Snout vent length (mm) measured with a digital caliper
Sol: Solar radiation (w/m2) measured with an apogee mp2 pyranometer
Subst: Type of substrate where the lizard is captured.
Mass: Body mass (g) of lizards measured with a scale 
Wind: Wind speed (m/s) measured with an UNI-T anemometer thermometer.
Ts: Substrate temperature (celsius) measured with the same Fluke 54/II thermometer with a t type thermocouple.
Ta: Air temperature measured measured from the location at 1.5m height measured with an UNI-T anemometer thermometer.

Temperature preference data:
Columns
Mass Start: Mass of the lizard at the start of experiment
SVL: Snout vent length (mm) measured with a digital caliper
Sex: Sex of the measured lizard
D1 - D8: Measured temperature (in celsius) of the lizard in the gradient with 15 minute intervals
Mass Finish: Mass of the lizard at the end of the gradient experiment

datalogger folder holds the field recorded microclimate temperature data from 5 data loggers
DOI: 10.17632/2g8w6sb425.1
title: Data for "Reduced soil water storage and mechanisms in channel edge zones of agricultural rainfed plateaus"

description: The field observation and model simulation data for the manuscript of "Reduced soil water storage and mechanisms in channel edge zones of agricultural rainfed plateaus".
DOI: 10.4119/unibi/3000411
title: Dataset for "Aspects of the chiral crossover transition in (2+1)-flavor QCD with Möbius domain-wall fermions"

description: This data set contains all data and scripts necessary to create all figures in the "Aspects of the chiral crossover transition in (2+1)-flavor QCD with Möbius domain-wall fermions", to be published in Phys. Rev. D, 2025. 
The plot scripts are based on Python, using the packages Numpy and Matplotlib, and on Gnuplot.

[arXiv:2411.10217 [hep-lat]](https://arxiv.org/abs/2411.10217)
DOI: 10.17632/24wf5n2gk5.1
title: Reading Habits Based on Gender: Undergraduate Students' Dataset on Book Preferences and Engagement.

description: Data were collected from 582 undergraduate students across various departments in Bangladesh between May 2024 and January 2025, focusing on their reading habits and preferences. The data collection process adhered to ethical guidelines, ensuring the confidentiality of each participant. The dataset provides insights into students' reading behaviors, shedding light on factors such as time spent reading, the type of books read, and the motivations behind reading. This detailed representation of reading habits is valuable for understanding how students engage with books and can inform educational strategies, promote reading habits, and support the development of initiatives that enhance students' academic and personal growth.

The dataset contains information related to reading preferences, including time spent reading, reasons for reading, formats of books used, and personal preferences about genres, influences, and languages. This data is crucial for refining the understanding of reading trends among students, identifying areas where reading habits can be encouraged, and designing targeted interventions for increasing literacy and reading engagement in academic environments.

Parameters Included:
Gender: The gender of the student (Male/Female).
Age: The age of the student.
Department: The department the student belongs to (e.g., CSE, MCT, Civil Engineering, etc.).
Amount of Time Spent Reading Books Per Day (Hour): The number of hours per day the student spends reading books.
Reason for Reading Books: The primary motivation for reading (e.g., Academic Purpose, Keep Me Informed, Entertainment, To Increase English Vocabulary).
How to Manage Books for Reading: The method through which books are accessed (e.g., E-books, Borrow, Buy, Others).
Number of E-books Read in Last Two Years: The range of e-books read in the last two years (e.g., 6-10, 11-15).
Number of Printed Books Read in Last Two Years: The range of printed books read in the last two years.
Favorite Books for Reading to Spend Leisure Time: The genres of books the students prefer in their leisure time (e.g., Biography, Fiction).
Type of Books Read Most of the Time: The predominant type of books the student reads (Academic/Non-academic).
Change Felt After Reading Books: The personal change felt after reading books (e.g., Increased Problem Solving Skill, Feels Relaxed).
Who Influenced You to Read Books: The person who influenced the student to read books (e.g., Self-decision, Friends, Parents, Teachers).
Which Language Books Do You Like to Read: The language of books the student prefers (e.g., Bangla, English).
Where Do You Read Printed Books: The locations where students read printed books (e.g., Home, Library, During Travel).
Do You Read Newspapers: Whether the student reads newspapers (Yes/No).
DOI: 10.15468/dl.ptuwvn
title: Occurrence Download

description: A dataset containing 2447651 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Year 2006-2013"
 ]
}

 The dataset includes 2447651 records from 896 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004084-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9tccg
title: Occurrence Download

description: A dataset containing 916 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Commiphora dalzielii Hutch., Craibia atlantica Dunn, Millettia warneckei Harms, Talbotiella gentii Hutch. & Greenway, Pavetta mollis Afzel. ex Hiern, Vepris heterophylla (Engl.) Letouzey)"
 ]
}

 The dataset includes 916 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004150-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/44cy5jjjs2.1
title: Lack of Evidence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Spillover in Free-Living Neotropical Non-Human Primates, Brazil

description: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the agent of coronavirus disease 2019 (COVID-19), is responsible for the worst pandemic of the 21st century. Like all human coronaviruses, SARS-CoV-2 originated in a wildlife reservoir, most likely from bats. As SARS-CoV-2 has spread across the globe in humans, it has spilled over to infect a variety of non-human animal species in domestic, farm, and zoo settings. Additionally, a broad range of species, including one neotropical monkey, have proven to be susceptible to experimental infection with SARS-CoV-2. Together, these findings raise the specter of the establishment of novel enzootic cycles of SARS-CoV-2. To assess the potential exposure of free-living non-human primates to SARS-CoV-2, we sampled 60 neotropical monkeys living in proximity to Manaus and São José do Rio Preto, two hotspots for COVID-19 in Brazil. Our molecular and serological tests detected no evidence of SARS-CoV-2 infection among these populations. While this result is reassuring, sustained surveillance effort of wildlife living in close association with human populations is warranted, given the stochastic nature of spillover events and the enormous implications of SARS-CoV-2 spillover for human health.
DOI: 10.17632/ngvg6fy8wp.1
title: Replication package for the manuscript INEC-D-23-00036R1

description: This directory replicates all tables and figures in the manuscript INEC-D-23-00036R1
DOI: 10.17632/n5g35gc9nb.1
title: Unipolar Depression and P300 ERP Meta Analysis

description: The current dataset includes code and data associated with a comprehensive systematic quantitative review (i.e., meta-analysis) of the depression and P300 literature from 1981 to 2023 employing PubMed and ProQuest databases. Included articles quantitatively measured depression and P300 amplitude or latency. In total, 127 studies (total N =12,722) comprised the current analyses (i.e., 116 examining P300 amplitude and 51 examining P300 latency), resulting in 601 effect sizes (i.e., 464 depression and P300 amplitude; 137 depression and P300 latency).
DOI: 10.17632/g46dvrcvwn.1
title: Turmeric Plant Disease Dataset: Advancing AI for Agricultural Sustainability

description: This dataset is a vital tool for researchers and professionals in agriculture, machine learning, and computer vision, focused on identifying and classifying diseases in turmeric plants. It is structured into two primary categories: the Original Dataset and the Augmented Dataset, offering high-quality images of turmeric plant leaves and rhizomes under various conditions, including: 

- Dry Leaf
- Healthy Leaf
- Leaf Blotch
- Rhizome Rot

To ensure broad applicability and improve model performance, the dataset includes augmented images generated using techniques such as flipping, rotation, noise addition, shifting, brightness adjustments, and zooming. These augmentations significantly increase the dataset’s diversity, enabling the training and evaluation of robust machine learning models. By leveraging this dataset, researchers can develop accurate systems for early disease detection and effective crop management.

The dataset is instrumental in driving innovation in agricultural technology, crop protection, and sustainable farming practices, using cutting-edge computer vision and AI approaches. 

Key Features:
- Original Dataset:
 - Number of Images: 791 
 - Format: .jpg 
 - Description: High-resolution, annotated images of turmeric plant diseases. 

- Augmented Dataset:
 - Number of Images: 3702 
 - Format: .jpg 
 - Description: Enhanced dataset with diverse samples created through data augmentation. 

Significance:
This dataset supports the development of AI-driven tools for: 
- Disease classification and early detection. 
- Improved crop monitoring and disease management. 
- Advancing agricultural research and sustainable practices. 

By offering meticulously curated images and detailed annotations, this dataset lays the foundation for transformative advancements in turmeric plant disease diagnosis and AI-based agricultural solutions.
DOI: 10.17632/g46dvrcvwn.2
title: Turmeric Plant Disease Dataset: Advancing AI for Agricultural Sustainability

description: This dataset is a vital tool for researchers and professionals in agriculture, machine learning, and computer vision, focused on identifying and classifying diseases in turmeric plants. It is structured into two primary categories: the Original Dataset and the Augmented Dataset, offering high-quality images of turmeric plant leaves and rhizomes under various conditions, including: 

- Dry Leaf
- Leaf Blotch
- Healthy Leaf
- Rhizome Disease Roots
- Rhizome Healthy Roots

To ensure broad applicability and improve model performance, the dataset includes augmented images generated using techniques such as flipping, rotation, noise addition, shifting, brightness adjustments, and zooming. These augmentations significantly increase the dataset’s diversity, enabling the training and evaluation of robust machine learning models. By leveraging this dataset, researchers can develop accurate systems for early disease detection and effective crop management.

The dataset is instrumental in driving innovation in agricultural technology, crop protection, and sustainable farming practices, using cutting-edge computer vision and AI approaches. 

Key Features:
- Original Dataset:
 - Number of Images: 1,063
 - Format: .jpg 
 - Description: High-resolution, annotated images of turmeric plant diseases. 

- Augmented Dataset:
 - Number of Images: 4,548 
 - Format: .jpg 
 - Description: Enhanced dataset with diverse samples created through data augmentation. 

Significance:
This dataset supports the development of AI-driven tools for: 
- Disease classification and early detection. 
- Improved crop monitoring and disease management. 
- Advancing agricultural research and sustainable practices. 

By offering meticulously curated images and detailed annotations, this dataset lays the foundation for transformative advancements in turmeric plant disease diagnosis and AI-based agricultural solutions.
DOI: 10.17632/bp8p6s9tng.1
title: LITERARY RESISTANCE: INDIGENOUS OPPRESSION IN MAHASWETA DEVI & HANSDA SOWVENDRA SHEKHAR’S WORKS

description: Abstract : 
Mahasweta Devi and Hansda Sowvendra Shekhar, two authors through their literary compositions, have highlighted the concerns and struggles of indigenous and oppressed communities. Mahasweta Devi is a relatively more prolific author who has been recognized as the spokesperson for the suppressed sections of society. She repeatedly voiced her opposition to the discrimination faced by the marginalized through her short fiction and novels.
Hansda Sowvendra Shekhar, a Santhal writer, belongs to an indigenous group. His narratives profoundly depict the challenges encircling the Santhal community in India. He is actively contributing to the upliftment of the Santhal people so they can integrate into mainstream society. This study will analyze and emphasize the literary approach adopted by Mahasweta Devi and Hansda Sowvendra Shekhar in illustrating the persecution endured by the Santhal people under the dominance of the privileged class and their indomitable resilience in adversity.
Their dialogues and actions signify their determination to break free from the chains of oppression imposed upon them. Language plays a crucial role not only in shaping the thoughts of readers but also in compelling authorities to acknowledge and address their grievances. Hence, this paper will thoroughly examine how these writers emerged as the voices of the impoverished and marginalized sections through their use of violence and defiance in literary expression.
Introduction:
In contemporary times, the widespread acceptance of modern governance and its proclaimed assurances of fundamental entitlements and a reasonable standard of existence for all has been largely uncontested. However, at the heart of this discourse lies the concern of ‘autonomy and representation’, which my paper seeks to address. Through an exploration of linguistic expression (or its deliberate suppression), this study investigates the ‘marginalization’ and ‘exclusion’ of women and Indigenous populations. This exclusion is even more pronounced when a woman belongs to an Indigenous community, as she faces a ‘double-layered deprivation’ in realizing the aspirations promised by ‘modern egalitarianism’.
This study evaluates the condition of Indigenous women while also exploring potential ‘alternative frameworks’ to their oppression. A persistent challenge in advocating for marginalized groups is their ‘systemic invisibilization’. The theoretical perspective of ‘Antonio Gramsci’s concept of hegemony’ is particularly relevant here. The critical inquiry that emerges is—who possesses the power to determine their own mode of existence? The ‘absence of a linguistic identity’ is not merely a grammatical concern but signifies the ‘lack of a structured space’ for recognizing and integrating the narratives of the ‘other.’
DOI: 10.6084/m9.figshare.26372140
title: Understanding Feedback Mechanisms in Jupyter Notebooks

description: Dataset and replication package for the paper titled "Understanding Feedback Mechanisms in Jupyter Notebooks"
DOI: 10.17632/rh98w3t96h.1
title: Global, Regional, and National Burden of Pruritus: a Comprehensive Study From the Global Burden of Disease, 1992-2021

description: The global burden of pruritus is increasing
DOI: 10.17632/p2z67j9y39.1
title: LINF_040011300

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/4hk3vcgygw.1
title: LINF_040013000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/vmrghwdk6z.1
title: LINF_040013300

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/ww2wk2m8w5.1
title: A_Method_For_Measurement_Of_Bulk_Crop_Dielectric_Properties

description: This dataset contains the data to create the figures and results shown in the research article "A Method for Measurement of Bulk Crop Dielectric Properties."
DOI: 10.17632/ww2wk2m8w5.2
title: A_Method_For_Measurement_Of_Bulk_Crop_Dielectric_Properties

description: This dataset contains the data to create the figures and results shown in the research article "A Method for Measurement of Bulk Crop Dielectric Properties."
DOI: 10.17632/sbmzsnrjhn.1
title: Land use and land cover (LULC) data of the Hola Basin in 2022

description: Based on remote sensing images of Gaofen–1, Gaofen–2, and Gaofen–6, the 2022 LULC data for the Hola Basin were extracted through visual interpretations, focusing on image features, such as tone, geometry, and texture. This analysis identified eight distinct periods of LULC changes to study the progression of engineering activities in the Hola Basin. LULC types were categorized into natural and engineered lands. Natural lands were further divided into forested land (forest, shrubland, sparse-land, and forest farms), grasslands (ranging from high to low coverage and bare land), and water bodies (rivers, lakes, pit-ponds, and wetlands). Engineered lands included infrastructures, such as roads (railways, highways, and mining roads) and buildings and mining areas (surface stripping mines, mine slag hills, mine-created wetlands, and mine water bodies).
DOI: 10.17632/yvcrp8d4pm.1
title: Arboviral Infections in Neurological Disorders in Hospitalized Patients in São José do Rio Preto, São Paulo, Brazil

description: This study assessed the incidence of arboviruses in cerebrospinal fluid (CSF) samples from patients with neurological symptoms. Out of 255 CSF samples tested for DENV, ZIKV, CHIKV, and other neurotropic arboviruses, 3.53% were positive. ZIKV was detected in 2.74% and DENV in 0.78%. Most cases presented as meningitis, encephalitis, or cerebrovascular events, affecting adults aged 18 to 74. The findings underscore the clinical significance of arbovirus-related neurological syndromes and the need for specific laboratory methods for accurate diagnosis and improved public health management.
DOI: 10.17632/yvcrp8d4pm.2
title: Arboviral Infections in Neurological Disorders in Hospitalized Patients in São José do Rio Preto, São Paulo, Brazil

description: The dataset encompasses comprehensive virological, clinical, and laboratory data from all patients included in the study. It includes results from quantitative PCR (qPCR) and anti-IgM ELISA assays for DENV, ZIKV, and CHIKV, as well as PCR detection of ROCV, SLEV, WNV, MAYV, ILHV, YFV, BSQV, IGUV, and MADV. In addition to these virological parameters, the dataset integrates detailed clinical and laboratory findings extracted from patient medical records
DOI: 10.17632/zgdjg5b3cs.1
title: 4R_EIT System

description: Files of "4 Rings Electrical Impedance Tomography System Based on Analog Front-End AFE4300".
DOI: 10.17632/zgdjg5b3cs.2
title: 4R_EIT System

description: Files of "A Low-Cost, Portable 32-Channel EIT System with Four Rings Based on AFE4300 for Body Composition Analysis".
DOI: 10.15468/dl.5zj5tg
title: Occurrence Download

description: A dataset containing 47297 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Inocybe geophylla P.Kumm."
 ]
}

 The dataset includes 47297 records from 377 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004149-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.