cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.p9shbq
title: Occurrence Download

description: A dataset listing the 253 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "Geometry POLYGON((-74.85193 11.02084,-74.84826 11.02084,-74.84826 11.0248,-74.85193 11.0248,-74.85193 11.02084))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset's 253 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023726-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zbwww3ygwc.1
title: Groundwater Level Variation Dataset in China's Arid Regions

description: In China's arid regions, the dynamic changes in groundwater levels are influenced by both natural factors (such as precipitation, evaporation, and soil moisture) and anthropogenic factors (such as agricultural irrigation, urban water use, and industrial extraction). As climate change and human activities intensify, fluctuations in groundwater levels are expected to become more pronounced, especially in water-scarce arid areas. This study has compiled a dataset of groundwater level variations from observation wells in China's arid regions, containing measured data from 2005 to 2020. The dataset includes specific information such as observation point names, geographic locations, hydrological geological units, types of groundwater, monitoring depths, average annual burial depths, and average annual fluctuation information. The data collection process involved selecting representative observation wells for long-term monitoring, regularly recording groundwater levels using automated equipment, and analyzing these levels in conjunction with meteorological data, as well as organizing and standardizing the collected data. Researchers and policymakers can utilize this dataset for applications in water resource management, ecological environmental protection, and climate change research. By conducting in-depth analyses and interpretations of the data, they can understand the driving factors behind changes in groundwater levels, providing a scientific basis for the sustainable use of water resources.
DOI: 10.17632/w8597ftgky.1
title: Social TV

description: This dataset examines the impact of these elements (communication, entertainment, and education) on the way audiovisual content is received, explicitly focusing on their usage among Jordanian audiences, as well as social TV acceptance.
DOI: 10.17632/fv3vcr53p5.1
title: REVISITING BENGALI LITERARY HISTORIOGRAPHY: GAPS, BIASES, AND THE QUEST FOR INCLUSIVITY

description: Abstract: 
Literature has often been perceived as a reflective lens through which society can examine itself, particularly within the context of a nation’s formative years. It plays a crucial role in shaping and sustaining national awareness. Since the mid-nineteenth century, numerous Bengali scholars have felt compelled to document the intricate evolution of literature from both the pre-colonial and colonial eras, recognizing its significance in fostering collective cultural and racial consciousness. This study critically examines the contributions of four major historians—Sushil Kumar De, Sukumar Sen, Asit Kumar Bandopadhyay, and Bhudeb Chaudhuri—who have played pivotal roles in constructing a structured history of Bengali literature. Their works, interconnected through mutual references, collectively form a fortified archive of literary historiography. However, these historians, influenced by the prevailing ideologies of their times, have inevitably left gaps and omissions in their narratives. This research aims to interrogate these silences, particularly concerning the exclusion of marginalized voices, the role of women, and the selective construction of Bengali identity. By analyzing their historical methodologies and ideological frameworks, this paper seeks to explore the possibility of a more inclusive, organic literary historiography that accommodates a broader spectrum of perspectives. 
Keywords : Bengali literary historiography, national consciousness, colonial influence, identity formation, historiographic gaps 
Introduction : 
Literature has long been recognized as a mirror of the society from which it emerges. This is especially true in the case of nations undergoing cultural and political transformations. Literature provides an essential foundation for the growth of national consciousness, offering an intellectual space for the negotiation of identity, memory, and history. From the mid-nineteenth century onward, Bengali scholars have engaged in the project of literary historiography, seeking to document the trajectory of Bengali literature from its pre-colonial roots to the colonial and post-colonial periods. Their works, driven by both academic inquiry and nationalist impulses, have contributed to shaping a structured understanding of Bengali literary tradition.
DOI: 10.17632/zp6ds4cv5p.1
title: LINF_060008700

description: Prolyl endopeptidase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/vsmc7gvfnf.1
title: LINF_060008600

description: TRIM/RBCC-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/8wtvdb44ty.1
title: INDIAN LITERATURE: EVOLUTION, DIVERSITY, AND CONTEMPORARY RELEVANCE

description: Abstract :
Indian literature, rooted in a three-millennia-old tradition, embodies the cultural, linguistic, and philosophical richness of the subcontinent. From ancient sacred texts like the *Vedas* and *Upanishads* to contemporary literary expressions, Indian storytelling has evolved across multiple languages and genres. This research examines the historical evolution, thematic concerns, and contemporary relevance of Indian literature. It explores feminist reinterpretations of epics, testimonial fiction, gendered memories of Partition, environmental narratives, agrarian crises, censorship, and the interplay between technology and humanity in modern storytelling. By analyzing literary works through postcolonial, feminist, and ecological lenses, this study underscores the dynamic nature of Indian literature and its enduring impact on global discourse. 
Keywords: Indian literature, Feminist discourse, Partition narratives, Environmental literature, Postcolonial studies, Censorship in literature, Artificial intelligence in storytelling.
Literature Review : 
Indian literature has long reflected the socio-political and cultural transformations of the subcontinent. Classical texts like the ‘Mahabharata’ and ‘Ramayana’ established archetypal narratives, which continue to be revisited and reinterpreted. Feminist readings of these epics highlight gendered violence and societal expectations, as seen in studies on Sita, Draupadi, and Amba.
Partition literature, including ‘Toba Tek Singh’, ‘The Heart Divided’, and ‘Sunlight on a Broken Column’, provides testimonial insights into displacement, trauma, and resilience. These narratives, particularly those by Muslim women, emphasize memory as a means of reconstructing fractured identities.
Ecocriticism has emerged as a vital perspective in Indian literature, analyzing works like ‘Train to Pakistan’ that depict the environmental consequences of political upheaval. Similarly, agrarian crises are explored in ‘Nero’s Guests’, which documents the socio-economic struggles of Indian farmers, reinforcing the urgency of systemic interventions.
Contemporary challenges such as censorship and political persecution have affected Indian authors like Salman Rushdie and Perumal Murugan. Their works underscore the fragile balance between free expression and socio-religious sensitivities. Additionally, the infiltration of technology in literature, as observed in ‘Android Kunjappan Version 5.25’, raises questions about the ethical implications of artificial intelligence in human relationships.
Together, these literary explorations reveal Indian literature’s capacity to address historical and contemporary issues while adapting to changing socio-political landscapes.
DOI: 10.17632/by7bmcrc7g.1
title: LINF_060008500

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/3xzrc9nydm.1
title: LINF_060008400

description: Folate-biopterin transporter; Leishmania infantum (strain JPCM5)
DOI: 10.17632/pk5jsgrtwz.1
title: Replication Files for "How Does the COVID-19 Vaccination Matter? A Spatial Analysis"

description: In this dataset you can find Stata data. flies, Stata do. files needed to replicate the results in the paper entitled "How Does the COVID-19 Vaccination Matter? A Spatial Analysis".
DOI: 10.17632/jmhz4826f2.1
title: Okra Image Dataset

description: Okra is such an important, nutritious crop that combats malnutrition and promotes a greener way of producing agricultural produce. Therefore, in improving the quality, palatability, and culinary uses, the harvesting maturity is classified into mature, over-mature, and under-mature forms that are achieved through the non-invasive method. Okra has to be categorized into different maturity levels to identify the appropriate time for harvesting, maintain market standards, reduce post-harvest losses, and improve its culinary versatility. Accurate classification will allow farmers to get better prices, satisfy consumer expectations, and ensure effective agricultural practices. This dataset was compiled from images taken using a standard RGB camera. It shows okra samples at various maturity levels divided into three categories. Images were taken under controlled illumination, using a standard RGB camera. Okra samples represent specimens from several farms, as well as from vegetable dealers, and can be varied with respect to their appearance in view of different maturity stages. Thus, this dataset will include variability that is inherently part of real-life farming and market environments. These are some of the most important datasets in the non-invasive assessment and classification of okra maturity for quality enhancement in agriculture and market readiness.
DOI: 10.17632/v5d46ns8hj.1
title: Boldness associated with higher erythrocyte levels and preference for higher temperatures can support the spread of European catfish to novel and warmer ecosystems

description: Here, we provide data on hematological, biochemical, and behavioral indices measured in fish during the study.
ID – Sample identification number
The maze experiment indices listed below were assessed in both maze settings, and their mean was used as the individual characteristic for further computations:
Activity_maze – Number of antennae passed
Boldness_maze – Time between the start of the experiment and the first detection of an individual by an antenna (transformed into a continuous 0–1 index scale; 0 indicates that individual never entered the maze)
Exploration_maze – Time needed to explore the entire maze, i.e., the time between the first and the last antenna detections (transformed into a continuous 0–1 index scale; 0 indicates the individual never explored the entire maze)
Preferred temperature_maze – Relative preferred temperature (difference between the temperature in the compartment where the fish was present and the temperature in the central part of the maze, used as a baseline)

The field indices listed below are expressed as mean values:
Home range_field – Assessed using the minimum convex polygon (MCP) method
Activity_field – Movement during a 24-hour cycle, determined as the distance between fish positions at two subsequent 3-hour intervals
Preferred temperature_field – Difference between individual sensor temperature and the general river temperature (used as a baseline)
DOI: 10.17632/7zcwmxrvbm.1
title: Data_NTS_pathway_Accumulibacter

description: The following dataset contains the scripts and input files required to reproduce the results shown in the Figures and Tables of the manuscript entitled “A new glycolytic route involving Rubisco in heterotrophic phosphate-accumulating bacteria”.
DOI: 10.17632/3r9dghk85h.1
title: Mucosal passive immunization with monoclonal antibodies targeting two hyphae-regulated virulence factors of Candida albicans attenuates vaginal C. albicans infections in mice.

description: Vulvovaginal candidiasis (VVC) is a fungal infection predominantly caused by the opportunistic pathogen Candida albicans (90%). VVC is a common infection, affecting 75% of women at least once in their lifetime. Among women affected by VVC, up to 8% experience more than four episodes per year, regarded as recurrent vulvovaginal candidiasis (RVVC). Current treatments for (R)VVC primarily rely on the use of azole antifungals, which are effective for treating isolated episodes but insufficient to prevent recurrences. Moreover, the intensive use of azoles may contribute to the development of resistance, highlighting the need for the development of alternative therapeutic strategies.

Considering several arguments indicating that VVC may result from an immunopathological disorder characterized by a "neutrophil anergy" phenomenon, leading to an exacerbated inflammatory response, the objective of this project was to develop biological tools to assess the effectiveness of passive immunization as an alternative treatment for RVVC. In this study, we selected and characterized monoclonal antibodies (mAbs) directed against two targets of the hyphal infectious form of C. albicans. The prophylactic activity of the selected mAbs was then evaluated in vivo, using a murine model of VVC. The results demonstrated that intravaginal administration of the combined mAbs conferred protection against infection development, significantly reducing fungal colonization and inflammation in the vaginal environment. These findings highlight the potential efficacy of passive mucosal immunization with these mAbs in preventing VVC, providing strong proof of concept for their potential as a novel therapeutic strategy in the management of RVVC.
DOI: 10.17632/3r9dghk85h.2
title: Mucosal passive immunization with monoclonal antibodies targeting Candidalysin and hyphally-regulated surface-exposed proteins (Hyr family) attenuates vaginal C. albicans infections in mice

description: Vulvovaginal candidiasis (VVC) is a fungal infection predominantly caused by the opportunistic pathogen Candida albicans (90%). VVC is a common infection, affecting 75% of women at least once in their lifetime. Among women affected by VVC, up to 8% experience more than four episodes per year, regarded as recurrent vulvovaginal candidiasis (RVVC). Current treatments for (R)VVC primarily rely on the use of azole antifungals, which are effective for treating isolated episodes but insufficient to prevent recurrences. Moreover, the intensive use of azoles may contribute to the development of resistance, highlighting the need for the development of alternative therapeutic strategies.

Considering several arguments indicating that VVC may result from an immunopathological disorder characterized by a "neutrophil anergy" phenomenon, leading to an exacerbated inflammatory response, the objective of this project was to develop biological tools to assess the effectiveness of passive immunization as an alternative treatment for RVVC. In this study, we selected and characterized monoclonal antibodies (mAbs) directed against two targets of the hyphal infectious form of C. albicans. The prophylactic activity of the selected mAbs was then evaluated in vivo, using a murine model of VVC. The results demonstrated that intravaginal administration of the combined mAbs conferred protection against infection development, significantly reducing fungal colonization and inflammation in the vaginal environment. These findings highlight the potential efficacy of passive mucosal immunization with these mAbs in preventing VVC, providing strong proof of concept for their potential as a novel therapeutic strategy in the management of RVVC.
DOI: 10.17632/5gx6pn9ymx.1
title: Life Cycle Assessment of Diesel, Biodiesel, and Electric Ground Support Equipment in Airports: A Comparative Environmental Impact Study

description: The study relies on primary and secondary data sources to conduct a comprehensive Life Cycle Assessment (LCA) of diesel, biodiesel, and electric Ground Support Equipment (GSE) in airport operations.
DOI: 10.15468/dl.hhn5qn
title: Occurrence Download

description: A dataset containing 33284 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Habitats Directive Portuguese Report: Species 2007-2012"
 ]
}

 The dataset includes 33284 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023685-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rwnrbbdkkv.1
title: FeynGrav 2.0

description: We present a new version of FeynGrav. The present version supports Feynman rules for matter with non-vanishing mass and SU(N) Yang-Mills model. We revisit the gauge fixing procedure for gravity and derive interaction rules valid for an arbitrary gauge fixing parameter. We provide a few simple examples of calculations to illustrate package usage.
DOI: 10.17632/rwnrbbdkkv.2
title: FeynGrav 3.0

description: We present the new version of the FeynGrav. The package provides tools to operate with Feynman rules for quantum gravity within FeynCalc. The latest version improves package efficiency and implements new physical models. We discover recurrent relations between metric factors that enhance computational efficiency. We discuss gravitational interaction with Horndeski gravity, quadratic gravity, and the simplest axion-like coupling. We implemented the massive graviton propagator and discussed the possibility of implementing massive gravity within the package.
DOI: 10.17632/bhkdrfd3cr.1
title: Evaluating the Feasibility of Modular Nuclear Reactors in the European Union: A GIS-based Multicriteria Decision Analysis Approach to Meet Paris Agreement

description: This study identifies all 193 operational coal-fired power plants in the EU and evaluates their suitability for conversion to Small Modular Reactors (SMRs) based on Multi Criteria Decision Making Model (MCDM)
By leveraging ARC GIS software for data collection and the TOPSIS method for ranking, the study prioritizes sites for SMR construction, ensuring the most optimal locations are selected based on various geographical, infrastructure and economic criteria.
Findings suggest that converting the top 70 ranked existing coal plant sites to SMRs with could generate four times the electricity currently produced by all 193 coal plants combined, offering a significant boost to the EU's energy capacity.
The research highlights SMRs as a solution to enhance energy security considering the geopolitical tensions, while also addressing the EU's climate goals by replacing coal with low-carbon nuclear energy, especially given the current challenges with renewable energy development.
DOI: 10.15468/dl.7kdy3u
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Month is August",
 "TaxonKey is Campephilus magellanicus (P.P.King, 1827)"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023785-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tjky4
title: Occurrence Download

description: A dataset listing the 1103 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is University of Guam Insect Collection"
 ]
}

 The dataset's 1103 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023729-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/98692ec457ee431cacc4027820e46411
title: Aboveground carbon (AGC) drone imagery and field data for Kaboi Lake 2021

description: Drone imagery and field data for aboveground carbon (AGC) measurements at Kaboi Lake, Sabah, Malaysia. 
Data consist of 597 jpeg files of a small forest stand collected by a drone and one csv for field measurements of 24 tree heights. 
Drone imagery covering the 2 ha site was collected in March 2021, with field data collected concurrently. 
The drone used was a DJI Phantom 4 Pro V2.0 quadcopter equipped with a 20 megapixel optical camera. 
The data were used to compare drone- and field-based measurements of AGC over small sites, and to inform best practices for calculating baseline AGC for small-scale, community-based forest restoration projects. 
Data were collected by members of Cardiff University and the Danau Girang Field Centre. Data interpretation by B Newport, University of Bristol.
DOI: 10.15468/dl.vdqen8
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Month is July",
 "TaxonKey is Campephilus magellanicus (P.P.King, 1827)"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023782-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bng77
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.89663 49.22678,6.02196 49.1883,6.05847 49.22037,6.0343 49.26872,5.97015 49.29784,5.9065 49.29981,5.89663 49.22678))",
 "TaxonKey is Muscardinus avellanarius (Linnaeus, 1758)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023784-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.