cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kydh62kx4b
title: Environmental levels of indole-3-acetic acid enhance the uptake and translocation of polyfluoroalkyl ether sulfonates in wheat

description: Data for this research
DOI: 10.17632/kydh62kx4b.1
title: Environmental levels of indole-3-acetic acid enhance the uptake and translocation of polyfluoroalkyl ether sulfonates in wheat

description: Data for this research
DOI: 10.15468/dl.67g96x
title: Occurrence Download

description: A dataset containing 3040071114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "Year 1000-2025"
 ]
}

 The dataset includes 3040071114 records from 67901 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013306-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9t8pzw2995
title: Optical Microscopy Dataset of Al10Cu–7.5 wt.% B4C Composites Produced by Powder Metallurgy

description: This dataset provides optical microscopy images of Al10Cu matrix composites reinforced with 7.5 wt.% B4C, manufactured via the powder metallurgy route. For metallographic preparation, samples were mounted in acrylic resin, ground with abrasive papers up to #1200, and polished with diamond suspensions followed by OP-S. Etching was carried out using a 0.5% aqueous HF solution to reveal the microstructural features. The imaging was performed with a Polyvar Met light microscope at magnifications up to 500×.

The images illustrate key features of the composite, including the dispersion of B4C reinforcement, interfacial regions between the ceramic phase and the Al10Cu matrix, as well as porosity and particle pull-out effects. This open-access dataset can be used as a reference for researchers studying Al-B4C composites, microstructural characterization of powder metallurgy materials, and their correlation with mechanical and tribological properties.
DOI: 10.17632/9t8pzw2995.1
title: Optical Microscopy Dataset of Al10Cu–7.5 wt.% B4C Composites Produced by Powder Metallurgy

description: This dataset provides optical microscopy images of Al10Cu matrix composites reinforced with 7.5 wt.% B4C, manufactured via the powder metallurgy route. For metallographic preparation, samples were mounted in acrylic resin, ground with abrasive papers up to #1200, and polished with diamond suspensions followed by OP-S. Etching was carried out using a 0.5% aqueous HF solution to reveal the microstructural features. The imaging was performed with a Polyvar Met light microscope at magnifications up to 500×.

The images illustrate key features of the composite, including the dispersion of B4C reinforcement, interfacial regions between the ceramic phase and the Al10Cu matrix, as well as porosity and particle pull-out effects. This open-access dataset can be used as a reference for researchers studying Al-B4C composites, microstructural characterization of powder metallurgy materials, and their correlation with mechanical and tribological properties.
DOI: 10.17632/dp2yvvy6sr
title: 20250829

description: Natural Organic Matter Concentration Controls the Coordination and Redox Interaction between Cerium Ions and Manganese Oxides
DOI: 10.17632/dp2yvvy6sr.1
title: 20250829

description: Natural Organic Matter Concentration Controls the Coordination and Redox Interaction between Cerium Ions and Manganese Oxides
DOI: 10.17632/84c9dmzpxx
title: LINF_260016900

description: Formin; Leishmania infantum (strain JPCM5)
DOI: 10.17632/84c9dmzpxx.1
title: LINF_260016900

description: Formin; Leishmania infantum (strain JPCM5)
DOI: 10.17632/8hb3pfstwb
title: LINF_260016600

description: Pseudouridine synthase; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.zsmxyq
title: Occurrence Download

description: A dataset containing 2911 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "DatasetKey is Norwegian Species Observation Service",
 "OccurrenceStatus is Present",
 "TaxonKey is Salmo trutta"
 ]
}

 The dataset includes 2911 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013461-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8hb3pfstwb.1
title: LINF_260016600

description: Pseudouridine synthase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/b28dvm9fvh
title: Metallographic Images of Al10Cu-5 wt.% B4C Composites Fabricated by Powder Metallurgy

description: This dataset contains a series of metallographic images of aluminum-based composites with composition Al10Cu reinforced with 5 wt.% B4C, produced by powder metallurgy. The samples were prepared following a standard metallographic procedure: mounting in acrylic resin, grinding with SiC papers up to #1200, and mechanical polishing with diamond pastes and OP-S suspension. The microstructure was revealed by etching with 0.5% aqueous HF solution. Observations were carried out using a Polyvar Met optical microscope at magnifications up to 500×.

The dataset provides representative micrographs showing the distribution of B4C particles, microstructural features of the Al10Cu matrix, and typical defects such as pores and particle pull-outs. These images can be used for comparison in studies of Al-based composites fabricated by powder metallurgy, for microstructural analysis, and for correlation with mechanical and tribological behavior.
DOI: 10.17632/b28dvm9fvh.1
title: Metallographic Images of Al10Cu-5 wt.% B4C Composites Fabricated by Powder Metallurgy

description: This dataset contains a series of metallographic images of aluminum-based composites with composition Al10Cu reinforced with 5 wt.% B4C, produced by powder metallurgy. The samples were prepared following a standard metallographic procedure: mounting in acrylic resin, grinding with SiC papers up to #1200, and mechanical polishing with diamond pastes and OP-S suspension. The microstructure was revealed by etching with 0.5% aqueous HF solution. Observations were carried out using a Polyvar Met optical microscope at magnifications up to 500×.

The dataset provides representative micrographs showing the distribution of B4C particles, microstructural features of the Al10Cu matrix, and typical defects such as pores and particle pull-outs. These images can be used for comparison in studies of Al-based composites fabricated by powder metallurgy, for microstructural analysis, and for correlation with mechanical and tribological behavior.
DOI: 10.17632/r5pc9t9f5t
title: LINF_260016200

description: Axonemal dynein light chain; Leishmania infantum (strain JPCM5)
DOI: 10.17632/r5pc9t9f5t.1
title: LINF_260016200

description: Axonemal dynein light chain; Leishmania infantum (strain JPCM5)
DOI: 10.7910/dvn/sgpxz1
title: Cloudburst, Flash Floods, and the Social Life of Risk in the Central Himalaya: A Case Study of the August 5, 2025 Uttarkashi (Dharali) Disaster.

description: Cloudburst, Flash Floods, and the Social Life of Risk in the Central Himalaya: A Case Study of the August 5, 2025 Uttarkashi (Dharali) Disaster.
On August 5, 2025, a high‐intensity precipitation/flood event devastated Dharali village in Uttarkashi district, Uttarakhand (India), triggering violent debris-laden flows that destroyed homes, roads, a local market, and tourism infrastructure along the Gangotri pilgrimage corridor. While authorities initially framed the trigger as a cloudburst, emerging assessments also consider a rock–ice avalanche, temporary damming and breach, glacial/lake outburst, or landslide interactions—a reminder that “cloudburst” is often a communicative shorthand for compound mountain hazards. This article reconstructs the event, synthesizes hydrometeorological definitions and regional trends, and—most centrally—offers a sociological analysis of how exposure, livelihood dependence, regulatory compliance, and local knowledge shaped impacts and recovery. We integrate quantitative indicators from early situation reports and credible reportage (casualty/missing counts; evacuations; direct economic loss to traders; disruptions to seasonal pilgrim flows) with comparative literature on Himalayan extremes (Kedarnath 2013; western Himalayan debris-flows; compound extremes under warming). We find that (i) concentrations of hotels, shops, and roads in channel–floodplain–fan environments within a fragile Eco-Sensitive Zone, (ii) pilgrimage-tourism seasonality, and (iii) regulatory slippage collectively transformed a hydrometeorological shock into a social catastrophe. We argue that risk is co-produced by climate variability/change and political-economic drivers of development, and we outline district-level measures for multi-hazard early warning, land-use governance, and livelihood diversification.
DOI: 10.17632/4syjchyp2r
title: Annexures for the study (1) Thematic analysis table with sample illustrative quotes, codes, themes, and methods used; (2) Scale Items with their source

description: The annexures used in the study are uploaded here. 
1) Annexure 1: Thematic analysis table used in the study.
2) Annexure 2: Scale items and their sources used for gathering responses.
DOI: 10.17632/4syjchyp2r.1
title: Annexures for the study (1) Thematic analysis table with sample illustrative quotes, codes, themes, and methods used; (2) Scale Items with their source

description: The annexures used in the study are uploaded here. 
1) Annexure 1: Thematic analysis table used in the study.
2) Annexure 2: Scale items and their sources used for gathering responses.
DOI: 10.15468/dl.9ktaym
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nassella tenuissima",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013462-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17012281
title: A TEXT BOOK OF TRIGONOMETRY PROBLEMS & SOLUTIONS

description: This book on TRIGONOMETRY has been specially written for the students of Science and Engineering. The basic purpose of the book is to provide the subject matter in a simple and lucid way so that the students could find no difficulty in understanding it. In terms of content, it covers the following chapters: Complex Numbers, Exponential Trigonometric and Hyperbolic Function of a Complex Variable (Separation into Real and Imaginary Parts), Logarithms of Complex Numbers, Inverse Circular and Hyperbolic Functions of Complex Numbers, Gregory Series, Trigonometrical Expansions and Summation of Trigonometrical Series. Each chapter of this book contains brief theory and fairly large number of examples and exercise. In selecting exercise variety has been the main consideration and it has been avoided to overload the book with too much drill work.
DOI: 10.5281/zenodo.17012280
title: A TEXT BOOK OF TRIGONOMETRY PROBLEMS & SOLUTIONS

description: This book on TRIGONOMETRY has been specially written for the students of Science and Engineering. The basic purpose of the book is to provide the subject matter in a simple and lucid way so that the students could find no difficulty in understanding it. In terms of content, it covers the following chapters: Complex Numbers, Exponential Trigonometric and Hyperbolic Function of a Complex Variable (Separation into Real and Imaginary Parts), Logarithms of Complex Numbers, Inverse Circular and Hyperbolic Functions of Complex Numbers, Gregory Series, Trigonometrical Expansions and Summation of Trigonometrical Series. Each chapter of this book contains brief theory and fairly large number of examples and exercise. In selecting exercise variety has been the main consideration and it has been avoided to overload the book with too much drill work.
DOI: 10.15468/dl.tyq8ch
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nassella tenuissima",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 176 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013463-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/m3hfcrwr3y
title: Exploring the Dynamics of Drug Use: A Comprehensive Survey of Socio-emotional and Environmental Influences

description: This dataset contains survey responses from 1139 participants, capturing various factors that contribute to drug use and addiction behaviors. It includes a broad array of variables, encompassing personal, social, psychological, and environmental elements influencing substance abuse patterns. Key areas covered by the survey include:

Demographics: Age, gender, educational background, and area of residence.

Family and Social Background: Family dynamics, financial status, and patterns of substance use within the family.

Social Interactions and Peer Influence: The role of friendships, peer pressure, and social environments in shaping drug use behaviors.

Mental Health: The relationship between emotional distress, stress, and mental health challenges as contributing factors to drug abuse.

Drug Use Patterns: Frequency of use, types of substances, initiation age, and reasons for consumption.

Attitudes Toward Drugs: Participants’ perceptions of drug use, its social acceptance, and personal views on drug-related behaviors.

This dataset is designed to support research in addiction studies, public health, mental health, and social sciences, providing valuable insights into the interplay of various factors (e.g., family background, peer influence, mental health) in the development of drug addiction.

Potential Uses:

Addiction Research: To identify risk factors and patterns associated with drug use and addiction behaviors.

Mental Health Studies: To analyze correlations between mental health issues (such as stress and depression) and substance abuse.

Public Health Initiatives: To aid in the development of prevention programs aimed at specific demographic groups and social backgrounds.

Social Science Research: To explore how family dynamics and peer influence contribute to addiction behaviors.

Policy Development: To inform the creation of policies and interventions targeting individuals at risk of substance abuse.

Community Outreach Programs: To design educational campaigns targeting high-risk groups, based on demographic and social factors.

Clinical Applications: To assist clinicians and addiction specialists in understanding the backgrounds and psychological profiles of individuals seeking treatment.

This dataset offers valuable insights for quantitative analysis, predictive modeling, and the development of interventions aimed at combating substance abuse. It serves as a vital resource for researchers, policymakers, healthcare providers, and clinicians focused on the complex dynamics of addiction.
DOI: 10.17632/m3hfcrwr3y.1
title: Exploring the Dynamics of Drug Use: A Comprehensive Survey of Socio-emotional and Environmental Influences

description: This dataset contains survey responses from 1139 participants, capturing various factors that contribute to drug use and addiction behaviors. It includes a broad array of variables, encompassing personal, social, psychological, and environmental elements influencing substance abuse patterns. Key areas covered by the survey include:

Demographics: Age, gender, educational background, and area of residence.

Family and Social Background: Family dynamics, financial status, and patterns of substance use within the family.

Social Interactions and Peer Influence: The role of friendships, peer pressure, and social environments in shaping drug use behaviors.

Mental Health: The relationship between emotional distress, stress, and mental health challenges as contributing factors to drug abuse.

Drug Use Patterns: Frequency of use, types of substances, initiation age, and reasons for consumption.

Attitudes Toward Drugs: Participants’ perceptions of drug use, its social acceptance, and personal views on drug-related behaviors.

This dataset is designed to support research in addiction studies, public health, mental health, and social sciences, providing valuable insights into the interplay of various factors (e.g., family background, peer influence, mental health) in the development of drug addiction.

Potential Uses:

Addiction Research: To identify risk factors and patterns associated with drug use and addiction behaviors.

Mental Health Studies: To analyze correlations between mental health issues (such as stress and depression) and substance abuse.

Public Health Initiatives: To aid in the development of prevention programs aimed at specific demographic groups and social backgrounds.

Social Science Research: To explore how family dynamics and peer influence contribute to addiction behaviors.

Policy Development: To inform the creation of policies and interventions targeting individuals at risk of substance abuse.

Community Outreach Programs: To design educational campaigns targeting high-risk groups, based on demographic and social factors.

Clinical Applications: To assist clinicians and addiction specialists in understanding the backgrounds and psychological profiles of individuals seeking treatment.

This dataset offers valuable insights for quantitative analysis, predictive modeling, and the development of interventions aimed at combating substance abuse. It serves as a vital resource for researchers, policymakers, healthcare providers, and clinicians focused on the complex dynamics of addiction.
DOI: 10.17632/hjv6kpdn8x
title: LINF_260015500

description: 2Fe-2S ferredoxin-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/hjv6kpdn8x.1
title: LINF_260015500

description: 2Fe-2S ferredoxin-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.m8337q
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nemacheilus tebo)",
 "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 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013464-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tgrw5358nt
title: LINF_260015100

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/tgrw5358nt.1
title: LINF_260015100

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/292ksgjxd8
title: LINF_260015000

description: Zinc finger protein | ZC3H17; Leishmania infantum (strain JPCM5)
DOI: 10.17632/292ksgjxd8.2
title: LINF_260015000

description: Zinc finger protein | ZC3H17; Leishmania infantum (strain JPCM5)
DOI: 10.17632/n65skpcmsh
title: LINF_260014900

description: Glucosidase II beta subunit; Leishmania infantum (strain JPCM5)
DOI: 10.17632/n65skpcmsh.2
title: LINF_260014900

description: Glucosidase II beta subunit; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.8gpcqk
title: Occurrence Download

description: A dataset containing 15339 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Persicaria pensylvanica"
 ]
}

 The dataset includes 15339 records from 331 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013460-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vtb8ym2vgd
title: LINF_260014800

description: lmmlA | Polycystin cation channel; Leishmania infantum (strain JPCM5)
DOI: 10.17632/vtb8ym2vgd.2
title: LINF_260014800

description: lmmlA | Polycystin cation channel; Leishmania infantum (strain JPCM5)
DOI: 10.17632/nj8pcc8psh
title: LINF_260014700

description: Protein kinase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/nj8pcc8psh.2
title: LINF_260014700

description: Protein kinase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/8ksyndxgt4
title: LINF_260014400

description: Mcp5 PH domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/8ksyndxgt4.1
title: LINF_260014400

description: Mcp5 PH domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/v6gykbx58r
title: Hydrological Connectivity and Ecohydrological Processes in Oasis Wetlands Database (HCI_WetlandDB)

description: The dataset HCI_WetlandDB contains long-term ecohydrological observations collected from oasis wetlands in northwestern China. It integrates daily meteorological data (precipitation and evapotranspiration), soil water content at multiple depths, groundwater depth, salt efflorescence, soil physicochemical properties, vegetation diversity, and soil microbial diversity, together with correlation matrices linking hydrological connectivity to soil–plant–microbial processes.

This dataset provides a comprehensive basis for evaluating the effects of hydrological connectivity (HCI) on soil biogeochemistry, vegetation community structure, and ecosystem stability under arid climate conditions. The data are available as an Excel file with eight thematic modules, each corresponding to one component of the ecohydrological system.

Researchers may use this dataset to reproduce the analyses in the manuscript, conduct meta-analyses, or further explore the multi-scale interactions of hydrology, vegetation, and soil in arid wetlands.
DOI: 10.17632/v6gykbx58r.1
title: Hydrological Connectivity and Ecohydrological Processes in Oasis Wetlands Database (HCI_WetlandDB)

description: The dataset HCI_WetlandDB contains long-term ecohydrological observations collected from oasis wetlands in northwestern China. It integrates daily meteorological data (precipitation and evapotranspiration), soil water content at multiple depths, groundwater depth, salt efflorescence, soil physicochemical properties, vegetation diversity, and soil microbial diversity, together with correlation matrices linking hydrological connectivity to soil–plant–microbial processes.

This dataset provides a comprehensive basis for evaluating the effects of hydrological connectivity (HCI) on soil biogeochemistry, vegetation community structure, and ecosystem stability under arid climate conditions. The data are available as an Excel file with eight thematic modules, each corresponding to one component of the ecohydrological system.

Researchers may use this dataset to reproduce the analyses in the manuscript, conduct meta-analyses, or further explore the multi-scale interactions of hydrology, vegetation, and soil in arid wetlands.
DOI: 10.17632/6nyxx5mgmt
title: CBSR

description: This dataset is designed for research in cross-spectral image super-resolution and includes scripts, model training code, and multi-band image data. It supports tasks such as data preprocessing, model evaluation, and spectral enhancement. The dataset is well-structured to facilitate reproducibility and is dynamically updated by the creator to reflect ongoing improvements in algorithms, data quality, and implementation. It is intended for use in remote sensing, hyperspectral image analysis, and machine learning applications related to image super-resolution.