cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/htdx6rznjg.1
title: DNA as Nanotechnology: Reassessing Life’s Origin Through the Lens of Information and Genomic Intelligence

description: We undertake a comprehensive examination of the complex interplay between deoxyribonucleic acid (DNA), nanotechnology, and the origin of life, critically engaging with prevailing abiogenetic models. We advance the hypothesis that DNA functions at the quantum scale or exhibits quantum-mechanical characteristics, demonstrating a level of structural stability and informational complexity that challenges the assumptions underpinning theories of spontaneous molecular evolution. Central to the critique is the recognition of the indispensable role of enzymatic machinery in DNA replication—enzymes that, paradoxically, require DNA for their synthesis—thereby presenting a classic instantiation of the "chicken-and-egg" paradox. We further interrogate the significance of molecular chirality and evaluate the environmental prerequisites for biogenesis, contending that early Earth conditions were inherently unfavorable for the natural formation of either DNA or RNA. By synthesizing insights from molecular biology, quantum physics, and information theory, this analysis supports alternative frameworks. Ultimately, we call for a fundamental reassessment of evolutionary mechanisms and reposition DNA not merely as a passive genetic substrate, but as an advanced, self-organizing system for information storage and processing—one that transcends conventional biological paradigms. We propose a Mathematical proof utilizing Minimal Genome formation and the Universe's limit of Genetic generative capacity.
DOI: 10.17632/t837f3g2kd
title: Timing matters: Unveiling the distinct effects of early vs late onset pre-eclampsia on mothers and newborns in a tertiary hospital in Bangladesh

description: Objective: Pre-eclampsia (PE) is a significant cause of maternal and perinatal morbidity and mortality worldwide. The clinical course and severity of PE can vary depending on the gestational age at onset. However, limited data from developing countries including Bangladesh stratify outcomes by onset timing, hindering context-specific management. This study aimed to differentiate maternal and perinatal outcomes associated with early-onset PE (EO-PE, &lt;34 weeks) versus late-onset PE (LO-PE, ≥34 weeks) in a tertiary care setting in Bangladesh.
DOI: 10.17632/t837f3g2kd.1
title: Timing matters: Unveiling the distinct effects of early vs late onset pre-eclampsia on mothers and newborns in a tertiary hospital in Bangladesh

description: Objective: Pre-eclampsia (PE) is a significant cause of maternal and perinatal morbidity and mortality worldwide. The clinical course and severity of PE can vary depending on the gestational age at onset. However, limited data from developing countries including Bangladesh stratify outcomes by onset timing, hindering context-specific management. This study aimed to differentiate maternal and perinatal outcomes associated with early-onset PE (EO-PE, &lt;34 weeks) versus late-onset PE (LO-PE, ≥34 weeks) in a tertiary care setting in Bangladesh.
DOI: 10.15468/dl.ebgq2a
title: Occurrence Download

description: A dataset containing 76997 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material citation, Specimen)",
 "Continent is one of (North America, South America)",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected)",
 "OccurrenceStatus is Present",
 "TaxonKey is Felidae"
 ]
}

 The dataset includes 76997 records from 276 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043204-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ftxysbwrhh
title: Global Grape Mapping Dataset: A Two-Stage Spatio-Temporal Filtering Approach

description: This dataset provides the mapping results of major grape-producing regions worldwide. The dataset was generated using a two-stage spatio-temporal filtering framework based on multi-source remote sensing data. The results represent the spatial distribution of grape planting areas in four major producing regions: Chile, America, China, and Europe.
DOI: 10.17632/ftxysbwrhh.2
title: Global Grape Mapping Dataset: A Two-Stage Spatio-Temporal Filtering Approach

description: This dataset provides the mapping results of major grape-producing regions worldwide. The dataset was generated using a two-stage spatio-temporal filtering framework based on multi-source remote sensing data. The results represent the spatial distribution of grape planting areas in four major producing regions: Chile, America, China, and Europe.
DOI: 10.5066/p145wxtd
title: Concentrations of Per- and Polyfluoroalkyl Substances (PFAS) and Other Chemical Constituents for Groundwater and Surface-Water Samples on Cape Cod, Massachusetts, 2019-2024

description: Groundwater, surface-water, and associated quality assurance samples were collected across western Cape Cod, Massachusetts and analyzed for per- and polyfluoroalkyl substances (PFAS) from September 2019 through November 2024. Water-quality properties measured at the time of sample collection included pH, specific conductance, temperature, and dissolved oxygen. Samples were also analyzed for other chemical constituents including major and selected minor inorganic constituents, nutrients, and pharmaceuticals. This data release contains three files, data dictionary and two datasets in tabular format:
 
1) DataDictionary_CapeCodPFAS_2019_2024.csv -- Definitions for parameters in each table.
2) CapeCodPFAS_2019_2024.csv -- Location information, field properties, and laboratory results for inorganic constituents, nutrients, and PFAS.
3) CapeCod_Pharmaceuticals_June2022.csv -- Site information and pharmaceutical results for a subset of samples collected at the Quashnet River in June 2022.
DOI: 10.15468/dl.t36wjs
title: Occurrence Download

description: A dataset containing 76997 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material citation, Specimen)",
 "Continent is one of (North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected)",
 "OccurrenceStatus is Present",
 "TaxonKey is Felidae"
 ]
}

 The dataset includes 76997 records from 276 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043205-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fhxbjzdp3r
title: Influences of runoff hydrodynamics on size selectivity of eroded sediments in alpine meadow patches in the Yellow River source area, Western China

description: This data has been provided to the system for reproduction or review as required by the journal.
DOI: 10.17632/fhxbjzdp3r.1
title: Influences of runoff hydrodynamics on size selectivity of eroded sediments in alpine meadow patches in the Yellow River source area, Western China

description: This data has been provided to the system for reproduction or review as required by the journal.
DOI: 10.17632/dw3pvkvtn3
title: Gut–Lung Axis Perturbation After Spinal Cord Injury 1 and the Probiotic Potential of Bifidobacterium

description: Paired-end 16S rRNA V3–V4 amplicon reads (PE250, Illumina NovaSeq 6000) from human sputum and mouse lung/gut samples in the SCI study. Demultiplexed FASTQ files with 7-bp sample barcodes; extraction blanks and no-template controls included. The accompanying metadata.tsv provides de-identified sample information (species, tissue, group, time point, treatment), primer sequences (338F/806R), and run identifiers. These data underpin all community analyses (alpha/beta diversity, weighted UniFrac PCoA, PERMANOVA, LEfSe, SourceTracker, random forest). See BioProject IDs PRJNA1100250, PRJNA1100322, PRJNA1100933. No direct identifiers are present.
DOI: 10.15468/dl.3zdxbx
title: Occurrence Download

description: A dataset containing 94620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Material citation)",
 "Continent is one of (South America, North America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Felidae"
 ]
}

 The dataset includes 94620 records from 467 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043206-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dw3pvkvtn3.1
title: Gut–Lung Axis Perturbation After Spinal Cord Injury 1 and the Probiotic Potential of Bifidobacterium

description: Paired-end 16S rRNA V3–V4 amplicon reads (PE250, Illumina NovaSeq 6000) from human sputum and mouse lung/gut samples in the SCI study. Demultiplexed FASTQ files with 7-bp sample barcodes; extraction blanks and no-template controls included. The accompanying metadata.tsv provides de-identified sample information (species, tissue, group, time point, treatment), primer sequences (338F/806R), and run identifiers. These data underpin all community analyses (alpha/beta diversity, weighted UniFrac PCoA, PERMANOVA, LEfSe, SourceTracker, random forest). See BioProject IDs PRJNA1100250, PRJNA1100322, PRJNA1100933. No direct identifiers are present.
DOI: 10.15468/dl.wunhpf
title: Occurrence Download

description: A dataset containing 76997 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Material citation)",
 "Continent is one of (South America, North America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected)",
 "OccurrenceStatus is Present",
 "TaxonKey is Felidae"
 ]
}

 The dataset includes 76997 records from 276 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043207-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kxbf6vbg2r.1
title: Magnesium status and clinical outcomes in kidney transplant recipients: Systematic review and meta-analysis.

description: Supplementary file.
DOI: 10.15468/dl.wzntwu
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Harpacticoida"
 ]
}

 The dataset includes 53 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043235-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hkkwzc7f2k
title: COPD-HTN-mortality trends and disparities among adult U.S. population aged 45 years and above, between 1999 and 2023 (data from extraction and synthesis)

description: This dataset supports the manuscript “Trends and Disparities in COPD- and Hypertension-Related Mortality Among U.S. Adults Aged ≥45: A CDC WONDER Analysis (1999–2023).” It includes age-adjusted mortality rates (AAMRs), annual percent changes (APCs), and average annual percent changes (AAPCs) calculated from CDC WONDER mortality data between 1999 and 2023. Data are stratified by sex, race/ethnicity, U.S. census region, urbanization, and state. Tables and Joinpoint regression outputs provide the numerical basis for all reported results, enabling transparency and reproducibility of findings.
DOI: 10.17632/hkkwzc7f2k.1
title: COPD-HTN-mortality trends and disparities among adult U.S. population aged 45 years and above, between 1999 and 2023 (data from extraction and synthesis)

description: This dataset supports the manuscript “Trends and Disparities in COPD- and Hypertension-Related Mortality Among U.S. Adults Aged ≥45: A CDC WONDER Analysis (1999–2023).” It includes age-adjusted mortality rates (AAMRs), annual percent changes (APCs), and average annual percent changes (AAPCs) calculated from CDC WONDER mortality data between 1999 and 2023. Data are stratified by sex, race/ethnicity, U.S. census region, urbanization, and state. Tables and Joinpoint regression outputs provide the numerical basis for all reported results, enabling transparency and reproducibility of findings.
DOI: 10.17632/phdz7h9hpc
title: GIS shapefiles for ecosystem prioritization, Sicily (Italy) - Siciliano 2025

description: GIS shapefiles for indices related to the publication:
Siciliano, 2025, "Prioritizing Ecological Values with Sequential Hierarchical Intersection Layers (SHIL): A Case Study from a Mediterranean Biodiversity Hotspot".

nHQ - Normalised Habitat Quality
nHWV - Normalized Habitat Weight Value
nBS - Normalized Biota Score
nCIS - Normalized Connectivity Importance Score
nCEVI - Normalized Composite Ecological Value Index
SHIL data - Full dataset in Excel format
DOI: 10.17632/phdz7h9hpc.1
title: GIS shapefiles for ecosystem prioritization, Sicily (Italy) - Siciliano 2025

description: GIS shapefiles for indices related to the publication:
Siciliano, 2025, "Prioritizing Ecological Values with Sequential Hierarchical Intersection Layers (SHIL): A Case Study from a Mediterranean Biodiversity Hotspot".

nHQ - Normalised Habitat Quality
nHWV - Normalized Habitat Weight Value
nBS - Normalized Biota Score
nCIS - Normalized Connectivity Importance Score
nCEVI - Normalized Composite Ecological Value Index
SHIL data - Full dataset in Excel format
DOI: 10.17632/kpf792wgsf
title: Dataset and Code for IoT-Based WISNE-SDN Detection and DDOS Attack mitigation using machine learning techniques

description: There are using two datasets, one is UNSW_2018_IoT_Botnet_Final_10_best_Training.csv and dataset_sdn.csv, the dataset is,
1. UNSW_2018_IoT_Botnet_Final_10_best_Training.csv is a refined training dataset derived from the larger UNSW 2018 IoT Botnet dataset. It focuses on the ten most significant features selected through feature selection techniques, enabling efficient and effective model training. The dataset is designed for intrusion detection and includes both benign and malicious traffic, particularly emphasizing botnet activity in IoT environments. Each record consists of traffic flow attributes such as packet counts, byte sizes, durations, and statistical measures relevant to flow behavior. This selection aims to balance model accuracy and computational cost, making it suitable for building lightweight machine learning models for real-time IoT threat detection. The dataset reflects realistic IoT traffic scenarios by incorporating attacks like DDoS, information theft, and reconnaissance, captured using various tools and emulation techniques.
2. dataset_sdn.csv is a dataset structured for evaluating security mechanisms in Software Defined Networking (SDN) environments. It contains network flow records that represent both normal and attack traffic, enabling classification and detection tasks. The dataset is typically generated in a controlled SDN testbed and includes features like source and destination Session ID, ports, protocols, packet lengths, flow durations, and flags. Attack types might include DDoS, probing, and spoofing attacks, reflecting vulnerabilities specific to SDN-based networks. The dataset is often used to test anomaly-based intrusion detection systems in SDN controllers, where traffic patterns can be analyzed and malicious behavior flagged using machine learning techniques. It serves as a crucial resource for research in SDN security and intelligent traffic management. and also developing codes added in this datas.
DOI: 10.17632/kpf792wgsf.4
title: Dataset and Code for IoT-Based WISNE-SDN Detection and DDOS Attack mitigation using machine learning techniques

description: There are using two datasets, one is UNSW_2018_IoT_Botnet_Final_10_best_Training.csv and dataset_sdn.csv, the dataset is,
1. UNSW_2018_IoT_Botnet_Final_10_best_Training.csv is a refined training dataset derived from the larger UNSW 2018 IoT Botnet dataset. It focuses on the ten most significant features selected through feature selection techniques, enabling efficient and effective model training. The dataset is designed for intrusion detection and includes both benign and malicious traffic, particularly emphasizing botnet activity in IoT environments. Each record consists of traffic flow attributes such as packet counts, byte sizes, durations, and statistical measures relevant to flow behavior. This selection aims to balance model accuracy and computational cost, making it suitable for building lightweight machine learning models for real-time IoT threat detection. The dataset reflects realistic IoT traffic scenarios by incorporating attacks like DDoS, information theft, and reconnaissance, captured using various tools and emulation techniques.
2. dataset_sdn.csv is a dataset structured for evaluating security mechanisms in Software Defined Networking (SDN) environments. It contains network flow records that represent both normal and attack traffic, enabling classification and detection tasks. The dataset is typically generated in a controlled SDN testbed and includes features like source and destination Session ID, ports, protocols, packet lengths, flow durations, and flags. Attack types might include DDoS, probing, and spoofing attacks, reflecting vulnerabilities specific to SDN-based networks. The dataset is often used to test anomaly-based intrusion detection systems in SDN controllers, where traffic patterns can be analyzed and malicious behavior flagged using machine learning techniques. It serves as a crucial resource for research in SDN security and intelligent traffic management. and also developing codes added in this datas.
DOI: 10.17632/d866svtjvy
title: Moss Biocrusts Enhance Hydrological Functionality on Engineered Slopes

description: This dataset comprises comprehensive experimental data from a study investigating the hydrological functions of moss-dominated biological soil crusts (BSCs) on engineered slopes in a humid subtropical ecosystem in Hubei Province, China. It includes in-situ and laboratory measurements comparing moss crust-covered soil with adjacent bare soil across three slope positions: bench top (BF), bench surface (BS), and bench toe (BT). Key data encompass soil physicochemical properties (texture, bulk density, porosity, soil organic matter, macroaggregate content), hydrological parameters (soil water retention curves fitted with van Genuchten model parameters, field capacity, wilting point, plant-available water), and permeability metrics (saturated and unsaturated hydraulic conductivity, sorptivity, water repellency index). Crucially, the dataset features high-resolution X-ray μCT 3D pore network analyses, providing quantitative metrics on macroporosity, pore connectivity, pore-throat characteristics, and coordination numbers. Additional data include moss crust thickness and water contact angles. This rich, multi-faceted dataset is valuable for understanding how BSCs modify soil structure and water dynamics, supporting research in ecohydrology, soil science, slope stability, and ecological restoration.

Keywords: Biological soil crusts, Moss, Engineered slopes, Soil hydrology, Water retention, Hydraulic conductivity, Pore structure, X-ray micro-CT, Soil water characteristic curve, van Genuchten model, Subtropical ecosystem.
DOI: 10.17632/d866svtjvy.1
title: Moss Biocrusts Enhance Hydrological Functionality on Engineered Slopes

description: This dataset comprises comprehensive experimental data from a study investigating the hydrological functions of moss-dominated biological soil crusts (BSCs) on engineered slopes in a humid subtropical ecosystem in Hubei Province, China. It includes in-situ and laboratory measurements comparing moss crust-covered soil with adjacent bare soil across three slope positions: bench top (BF), bench surface (BS), and bench toe (BT). Key data encompass soil physicochemical properties (texture, bulk density, porosity, soil organic matter, macroaggregate content), hydrological parameters (soil water retention curves fitted with van Genuchten model parameters, field capacity, wilting point, plant-available water), and permeability metrics (saturated and unsaturated hydraulic conductivity, sorptivity, water repellency index). Crucially, the dataset features high-resolution X-ray μCT 3D pore network analyses, providing quantitative metrics on macroporosity, pore connectivity, pore-throat characteristics, and coordination numbers. Additional data include moss crust thickness and water contact angles. This rich, multi-faceted dataset is valuable for understanding how BSCs modify soil structure and water dynamics, supporting research in ecohydrology, soil science, slope stability, and ecological restoration.

Keywords: Biological soil crusts, Moss, Engineered slopes, Soil hydrology, Water retention, Hydraulic conductivity, Pore structure, X-ray micro-CT, Soil water characteristic curve, van Genuchten model, Subtropical ecosystem.
DOI: 10.17632/bf2bx2cb2f
title: ICLCA25_0096_Common Practice Matrix Table

description: The matrix table maps each reviewed LCA study to the LCA elements, namely functional/ reference unit, system boundary, data collection method, software, characterization method, and data quality analysis.
DOI: 10.17632/bf2bx2cb2f.1
title: ICLCA25_0096_Common Practice Matrix Table

description: The matrix table maps each reviewed LCA study to the LCA elements, namely functional/ reference unit, system boundary, data collection method, software, characterization method, and data quality analysis.
DOI: 10.17632/8zcv8kzg6j
title: Thermoanaerobacter uzonensis strain AK85 ADH Lysate Activity Screen and Phylogenetic Data

description: The dataset includes the raw lysate data of Thermoanaerobacter uzonensis strain AK85 (AK85) collected for a colorimetric Alcohol Dehydrogrenase activity screen with 29 different alcohol substrates. The substrates included primary and secondary alcohols with NAD+ and NADP+ respectively. Additionally, the data set includes all of the 16S rRNA sequences used to create a phylogenetic tree of AK85 in relation to the rest of the published species within the genus.
DOI: 10.17632/8zcv8kzg6j.1
title: Thermoanaerobacter uzonensis strain AK85 ADH Lysate Activity Screen and Phylogenetic Data

description: The dataset includes the raw lysate data of Thermoanaerobacter uzonensis strain AK85 (AK85) collected for a colorimetric Alcohol Dehydrogrenase activity screen with 29 different alcohol substrates. The substrates included primary and secondary alcohols with NAD+ and NADP+ respectively. Additionally, the data set includes all of the 16S rRNA sequences used to create a phylogenetic tree of AK85 in relation to the rest of the published species within the genus.