cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/dddfeb15-d4ac-4a3e-a3a2-14d0dfa58b47
title: Data underlying the research of Spatial Transcriptomics Evaluation of Drug Resistance in Non-Small Cell Lung Cancer Regulated by Multiple Mechanisms Including ABC Transporters

description: Non-small cell lung cancer (NSCLC) remains the leading cause of cancer mortality worldwide, with epidermal growth factor receptor inhibitors (EGFRi) serving as a cornerstone of targeted therapy. However, acquired resistance to EGFRi severely limits clinical efficacy and is driven by multifactorial mechanisms that remain incompletely understood. This study employs spatial transcriptomics to systematically investigate resistance mechanisms within the tumor microenvironment (TME). Data from GEO and TCGA cohorts were integrated to identify resistance-associated genes, pathways, and their spatial interactions. Analysis revealed significant remodeling of the immune microenvironment, characterized by M2 macrophage predominance and T-cell exhaustion. The ABC transporter gene ABCC1 was upregulated and broadly distributed, spatially overlapping with immune-related genes such as TNFRSF17, highlighting the interplay between drug efflux and immune modulation. Enrichment analysis indicated that drug resistance is predominantly regulated by ABC transporters, metabolic reprogramming, immune evasion, and DNA repair. Prognostic evaluation identified ABCC1, GSTA1, IFNA5, and PDHA2 as protective factors, whereas ABCG2, JAK1, LDHC, and MLH1 acted as risk genes. Mendelian randomization confirmed a strong causal association between IL-6 and NSCLC, whereas lactate accumulation contributed indirectly via immune suppression. Collectively, findings demonstrate that NSCLC resistance arises from spatially coordinated mechanisms, in which drug efflux, immune dysfunction, and metabolic adaptation synergize to maintain resistant phenotypes. These insights provide a spatially resolved framework for designing future combination therapies targeting multiple resistance pathways.
DOI: 10.4121/dddfeb15-d4ac-4a3e-a3a2-14d0dfa58b47.v1
title: Data underlying the research of Spatial Transcriptomics Evaluation of Drug Resistance in Non-Small Cell Lung Cancer Regulated by Multiple Mechanisms Including ABC Transporters

description: Non-small cell lung cancer (NSCLC) remains the leading cause of cancer mortality worldwide, with epidermal growth factor receptor inhibitors (EGFRi) serving as a cornerstone of targeted therapy. However, acquired resistance to EGFRi severely limits clinical efficacy and is driven by multifactorial mechanisms that remain incompletely understood. This study employs spatial transcriptomics to systematically investigate resistance mechanisms within the tumor microenvironment (TME). Data from GEO and TCGA cohorts were integrated to identify resistance-associated genes, pathways, and their spatial interactions. Analysis revealed significant remodeling of the immune microenvironment, characterized by M2 macrophage predominance and T-cell exhaustion. The ABC transporter gene ABCC1 was upregulated and broadly distributed, spatially overlapping with immune-related genes such as TNFRSF17, highlighting the interplay between drug efflux and immune modulation. Enrichment analysis indicated that drug resistance is predominantly regulated by ABC transporters, metabolic reprogramming, immune evasion, and DNA repair. Prognostic evaluation identified ABCC1, GSTA1, IFNA5, and PDHA2 as protective factors, whereas ABCG2, JAK1, LDHC, and MLH1 acted as risk genes. Mendelian randomization confirmed a strong causal association between IL-6 and NSCLC, whereas lactate accumulation contributed indirectly via immune suppression. Collectively, findings demonstrate that NSCLC resistance arises from spatially coordinated mechanisms, in which drug efflux, immune dysfunction, and metabolic adaptation synergize to maintain resistant phenotypes. These insights provide a spatially resolved framework for designing future combination therapies targeting multiple resistance pathways.
DOI: 10.5281/zenodo.17749809
title: EU-CHINA BRIDGE: D4.6 – EU-China multi-level policy inventory of the chemical industry

description: The EU-China BRIDGE project developed comprehensive inventories of chemical defossilisation policies in both regions. This work aims to map the key measures shaping the chemical industry's transition. Recognising that policy effectiveness is determined by implementation at sub-national levels, the mapping incorporates in-depth case studies of Germany and the Inner Mongolia Autonomous Region. Building on this mapping, the project will systematically identify and analyse policy similarities, differences, and critical gaps.
DOI: 10.5281/zenodo.17786476
title: Full data of Drone Logistics Related Articles
DOI: 10.15468/dl.nuc6z8
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "TaxonKey is Anas platyrhynchos",
 "Year 2025-2025"
 ]
}

 The dataset includes 342 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021716-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30487016
title: Extracted RNA quantity, quality and RIN value

description: Extracted blue, sky-blue and white <i>Clitoria ternatea </i>flower RNA quality, quantity and RIN values.
DOI: 10.6084/m9.figshare.30487016.v5
title: Extracted RNA quantity, quality and RIN value

description: Extracted blue, sky-blue and white <i>Clitoria ternatea </i>flower RNA quality, quantity and RIN values.
DOI: 10.6084/m9.figshare.30487016.v4
title: Extracted RNA quantity, quality and RIN value

description: Extracted blue, sky-blue and white <i>Clitoria ternatea </i>flower RNA quality, quantity and RIN values.
DOI: 10.34856/eos-rs_202505_vietnam_floods
title: EOS-RS Damage Proxy Map: Northern Vietnam, Floods, 22 May 2025

description: The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in Northern Vietnam, due to heavy rainfall. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (10 Jan 2025 to 10 May 2025) and after (22 May 2025) the event.
DOI: 10.5281/zenodo.17786473
title: What Costs Us: A New Classification of Software Maintenance Activities
DOI: 10.5281/zenodo.17786474
title: What Costs Us: A New Classification of Software Maintenance Activities
DOI: 10.6084/m9.figshare.30486929
title: Transcriptome de novo assembly and annotation methodology

description: Methodological details of RNA sequencing and bioinformatics analysis to obtain and annotate the blue, sky-blue and white <i>Clitoria ternatea flowers </i>transcriptome assembly.
DOI: 10.6084/m9.figshare.30486929.v2
title: Transcriptome de novo assembly and annotation methodology

description: Methodological details of RNA sequencing and bioinformatics analysis to obtain and annotate the blue, sky-blue and white <i>Clitoria ternatea flowers </i>transcriptome assembly.
DOI: 10.6084/m9.figshare.30486929.v1
title: Transcriptome de novo assembly and annotation methodology

description: Methodological details of RNA sequencing and bioinformatics analysis to obtain and annotate the blue, sky-blue and white <i>Clitoria ternatea flowers </i>transcriptome assembly.
DOI: 10.5281/zenodo.17786501
title: Microstructural Controls on the Evolutions of Porosity and Permeability During Triaxial Stress Loading
DOI: 10.5281/zenodo.17786502
title: Microstructural Controls on the Evolutions of Porosity and Permeability During Triaxial Stress Loading
DOI: 10.6084/m9.figshare.30486899
title: Functional annotation

description: Functional annotation of RNA sequences ontained from blue, sky-blue and white <i>Clitoria ternatea</i> flowers.
DOI: 10.6084/m9.figshare.30486899.v2
title: Functional annotation

description: Functional annotation of RNA sequences ontained from blue, sky-blue and white <i>Clitoria ternatea</i> flowers.
DOI: 10.6084/m9.figshare.30486899.v1
title: Functional annotation

description: Functional annotation of RNA sequences ontained from blue, sky-blue and white <i>Clitoria ternatea</i> flowers.
DOI: 10.15468/dl.xu7msc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((111.357 21.461,115.422 21.461,115.422 24.392,111.357 24.392,111.357 21.461))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Muntiacus reevesi"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021718-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60686/t-fsd3968
title: FSD3968 Citizens' Attitudes to Climate Change, Climate Concerns and Willingness to Act 2022
DOI: 10.18150/a5zs9y
title: Dziennik terenowy z lat 2022-2025

description: Poniższy plik to wybór fragmentów dziennika terenowego, które zostały wytworzone podczas obserwacji uczestniczącej – zarówno w Wilamowicach, jak i w innych miejscach oraz w Internecie. Wybrane fragmenty dotyczą wilamowskiej tożsamości i wiary we wspólne pochodzenie przez co łączą się z tematyką projektu i stanowiły ważny materiał do tworzenia tekstów naukowych, w szczególności tekstu „Opowieści o etnogenezie a inne wyznaczniki odrębności etnicznej Wilamowian”, w Journal of Urban Ethnology.Data poprzedzająca tekst oznacza dzień rejestracji wpisu w dzienniku. Powstały one oryginalnie w języku wilamowskim i zostały przetłumaczone.Badania zostały przeprowadzone w ramach projektu „Z Flandrii, przez Niemcy, do Polski. Analiza teorii etnogenezy Wilamowian” (nr projektu: 2021/41/N/HS3/01679).
DOI: 10.5281/zenodo.17786519
title: Baddeleyite is a Resistant Mineral in Lunar and Airless Body Space Weathering Environments
DOI: 10.14278/rodare.4168
title: Data publication: Vascular and Neural Transcriptomics Reveal Stage‐Dependent Pathways to Inflammation and Cognitive Dysfunction in a Rat Model of Hypertension

description: datasheet animals (rats) for FDG-PET and DICOMS of PET aquisitions
DOI: 10.14278/rodare.4167
title: Data publication: Vascular and Neural Transcriptomics Reveal Stage‐Dependent Pathways to Inflammation and Cognitive Dysfunction in a Rat Model of Hypertension

description: datasheet animals (rats) for FDG-PET and DICOMS of PET aquisitions
DOI: 10.15468/dl.tm4wer
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "TaxonKey is Parus major",
 "Year 2025-2025"
 ]
}

 The dataset includes 245 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021719-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3z39p
title: Occurrence Download

description: A dataset containing 2286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abies densa, Abies recurvata, Abies fabri, Abies fanjingshanensis, Abies fargesii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2286 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021721-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cad656
title: Occurrence Download

description: A dataset containing 21417167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "Year 2005-2025"
 ]
}

 The dataset includes 21417167 records from 828 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021704-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qb7gjf
title: Occurrence Download

description: A dataset containing 1000134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "DatasetKey is NIEK_NES",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1000134 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021717-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phn223
title: Occurrence Download

description: A dataset containing 9861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abies forrestii, Abies holophylla, Abies kawakamii, Abies nephrolepis, Abies sibirica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9861 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021724-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9trqv
title: Occurrence Download

description: A dataset containing 243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "TaxonKey is Garrulus glandarius",
 "Year 2025-2025"
 ]
}

 The dataset includes 243 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021725-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34856/eos-rs_202507_nepal_kailali_district_floods
title: EOS-RS Flood Proxy Map: Kailali District, Nepal, Floods, 3 July 2025

description: The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Kailali District, Nepal, due to heavy rainfall. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (5 Nov 2024 to 21 Jun 2025) and after (3 Jul 2025) the event.
DOI: 10.5281/zenodo.17760462
title: Qing Dynasty guqin Data
DOI: 10.5281/zenodo.17786413
title: Mapping Sleep-Promoting Volatiles in Aromatic Plants with Machine Learning: A Comprehensive Survey of 2,300 Molecules

description: This repository presents a machine learning pipeline for identifying sleep-promoting volatile organic compounds (VOCs) from aromatic plants.



Sleep disturbances affect up to one-third of the global population, yet current pharmacological therapies based on insomnia medications carry notable risks and side effects. Aromatic plants have long been valued for their capacity to ease stress and promote sleep; however, bioactive volatiles driving these benefits remain poorly understood. This study presents a comprehensive survey of 2,391 volatiles across 991 aromatic plants, integrated with an ensemble machine-learning approach to identify their potential sleep-promoting activity. To evaluate the predictive accuracy of our approach, five candidate volatiles were computationally prioritized for in vivo testing. Four of these (an 80% success rate) robustly induced sleep-promoting effects, as evidenced by electroencephalogram analysis and modulation of γ-aminobutyric acid (GABA) receptor expression. In parallel, this work identified plant families such as Asteraceae, Lamiaceae, and Lauraceae as particularly enriched in high-potential volatiles, and highlighted individual species—including Lavandula angustifolia and Perilla frutescens—as promising candidates for further pharmacological investigation. By combining large-scale data mining, computational prediction, and in vivo experimentation, this work first provides a comprehensive understanding of the landscape of sleep-promoting volatiles and aromatic plants and offers a reusable workflow to accelerate the discovery of bioactive compounds with potential applications in medicine, functional foods, and natural therapeutics.
DOI: 10.15468/dl.u4gmkr
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agrilus fleischeri"
 ]
}

 The dataset includes 19 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021728-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/y7qb-we83
title: "Peruvian Coastal SAR Oil Spill Segmentation Dataset (Real, Synthetic, and Morphologically Perturbed Masks)"

description: "This dataset contains 2,112 labeled Sentinel-1 SAR image patches collected along the Peruvian coastline during documented oil spill events reported by OEFA and OSINERGMIN. Each patch includes pixel-level semantic annotations for five classes: sea, oil, look-alike phenomena, ships, and land. The dataset is designed to support research on oil spill detection, segmentation, and domain adaptation in maritime SAR imagery.To improve model generalization across geographic domains, the dataset also includes a set of morphologically perturbed masks generated using the MORP module (geometric transforms and curvature-based shape editing). These perturbations allow controlled modifications of oil spill boundaries, bulges, shrinks, and spatial configurations. In addition, a synthetic Label-to-SAR set is provided, where the perturbed masks are translated into realistic SAR textures using an INADE-based conditional generation model. This enables researchers to train segmentation architectures using mixed real + synthetic samples without requiring additional SAR acquisitions.The dataset supports benchmarking of deep learning methods for oil spill segmentation, domain adaptation (Mediterranean \u2192 Peru), and robustness to spill morphology variations. Initial experiments using a ResNet-DeepLabv3+ architecture demonstrate performance improvements of +6.00 pp mIoU, +10.81 pp oil IoU, and +14.6 pp look-alike IoU when including MORP-Synth data during training.This dataset aims to facilitate reproducibility and standardized evaluation for SAR-based maritime environmental monitoring, oil spill response, and remote sensing research focused on cross-domain generalization."
DOI: 10.15468/dl.cecskf
title: Occurrence Download

description: A dataset containing 763 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abies spectabilis, Abies squamata, Abies yuanbaoshanensis, Abutilon sinense, Senegalia caesia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 763 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021729-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34856/eos-rs_202506_vietnam_danang_floods
title: EOS-RS Flood Proxy Map: Da Nang, Vietnam, Floods, 11 June 2025

description: The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Da Nang, Vietnam, due to storm Wutip. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (18 Jan 2024 to 30 May 2025) and after (11 Jun 2025) the event.
DOI: 10.15468/dl.dj3dus
title: Occurrence Download

description: A dataset containing 524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Senegalia yunnanensis, Acantholimon borodinii, Acantholimon diapensioides, Acantholimon lycopodioides, Acer acuminatum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 524 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021731-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2sbrxc
title: Occurrence Download

description: A dataset containing 5716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Coptodon zillii"
 ]
}

 The dataset includes 5716 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021730-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30472592
title: Protein sequence prediction

description: Protein sequence prediction of blue, sky-blue and white <i>Clitoria ternatea</i> flower transcriptome assembly.
DOI: 10.6084/m9.figshare.30472592.v2
title: Protein sequence prediction

description: Protein sequence prediction of blue, sky-blue and white <i>Clitoria ternatea</i> flower transcriptome assembly.
DOI: 10.6084/m9.figshare.30472592.v1
title: Protein sequence prediction

description: Protein sequence prediction of blue, sky-blue and white <i>Clitoria ternatea</i> flower transcriptome assembly.
DOI: 10.57841/casdc.0006072
title: RVBench 性能测试集
DOI: 10.6084/m9.figshare.30749045
title: CQBenchPHO: A Benchmark Dataset of Competency Questions for Personal Health Ontologies

description: CQBench-PHO is a benchmark dataset consisting of user stories, competency questions (CQs), and reusable CQ patterns for personal health ontology development.
DOI: 10.6084/m9.figshare.30749045.v1
title: CQBenchPHO: A Benchmark Dataset of Competency Questions for Personal Health Ontologies

description: CQBench-PHO is a benchmark dataset consisting of user stories, competency questions (CQs), and reusable CQ patterns for personal health ontology development.
DOI: 10.5281/zenodo.17786665
title: SEM Withered Plant (BSE Series) — Kikoh Matsuura (Art–Science Archive)

description: Parent (series) record for *SEM Withered Plant (BSE)* by Kikoh Matsuura.  This record serves as the hub for all child datasets in the series.

**Files included:**- A series overview (TXT) documenting scope, naming rules, citation style, and file policy- A machine-readable index (CSV) that will be updated to list child datasets (DOIs, imaging parameters, etc.)

Each child dataset contains raw, uncompressed BMP images (≈13 per set, number varies) acquired with a personally owned TECHNEX TinySEM M3-i using the BSE detector under high-vacuum conditions.  Child records provide detailed READMEs with exact parameters (accelerating voltage, working distance, vacuum, pixel size, field of view, frame time, coating).

This parent provides a stable concept DOI for the entire *SEM Withered Plant (BSE)* series.  Child datasets link back via *IsPartOf*, and this parent enumerates them via *HasPart*.  

*This series visualizes the hidden order and chance in withered plants through SEM-BSE, leaving a unique trace at the boundary between art and science.*
DOI: 10.15468/dl.f23gkb
title: Occurrence Download

description: A dataset containing 169540 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ocyceros birostris (Scopoli, 1786)"
 ]
}

 The dataset includes 169540 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022806-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.