cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bbp85rzvwt.1
title: BacteArte XIII: Interdisciplinary Art and Science Event Memory

description: This dataset documents the XIII edition of BacteArte (2025), a Latin American interdisciplinary biotechnology and art event held on October 27, 2025, at the Universidad de Santander (UDES), Colombia. The event was organized by the Bacteriology and Clinical Laboratory Program of UDES, with the support of Fundación Eureka Soluciones, as part of a long-term initiative focused on science communication, education, biodiversity, and interdisciplinary cultural practices.

BacteArte XIII brought together 432 participants from 43 institutions across Colombia, Argentina, Costa Rica, Ecuador, Mexico, Paraguay, Peru, Venezuela, and Bolivia, consolidating the event as a national and international platform for collaboration among artists, scientists, students, and educators.

The core of the event was an art exhibition based on the microscopic world, centered on agar-based biological artworks created using living bacteria, including genetically modified bacteria expressing chromogenic proteins. A total of 416 artworks were produced, exhibited, and documented (400 Agar-Art; 7 Photography; 6. Drawing; and, 3 AI. All artworks are inspired by and dedicated to the biodiversity of Colombia, the most biodiverse country in the world, exploring biological diversity through microbial growth, color expression, and artistic interpretation at the microscopic scale.

In addition to agar-based biological artworks, the event included complementary artistic categories such as artistic expressions (drawing and illustration), scientific photography, and artificial intelligence–assisted artworks, which contextualize and expand the central bioart component.

The event integrated an academic, cultural, and science communication program, including invited talks, interdisciplinary discussions, immersive experiences, and educational activities designed to support the creation, interpretation, and dissemination of the artworks.

The dataset compiles photographic documentation, digital reproductions of artworks (PDF format), structured metadata on participants and institutions, science communication materials, event programs, certificates, and dissemination records. All materials were collected with prior authorization from participants and managed in accordance with applicable ethical and data protection standards.

This dataset constitutes the official archival record of BacteArte XIII (2025) and follows a standardized organizational structure designed to support documentation, preservation, reuse, and analysis of interdisciplinary practices at the intersection of biotechnology, bioart, biodiversity, education, and science communication.
DOI: 10.17632/txh558f3vj
title: Data set. Intervenciones educativas para profesionales de la salud en manejo de traqueostomía

description: Concentrado de datos de, intervenciones educativas para profesionales de la salud en manejo de traqueostomía. Contiene 4 tablas en total.
DOI: 10.17632/txh558f3vj.1
title: Data set. Intervenciones educativas para profesionales de la salud en manejo de traqueostomía

description: Concentrado de datos de, intervenciones educativas para profesionales de la salud en manejo de traqueostomía. Contiene 4 tablas en total.
DOI: 10.17632/k4z6t6nz7g.2
title: From Conflict to Creativity: US-China Trade War and Chinese Corporate Innovation

description: This is the replication folder for the paper titled “From Conflict to Creativity: US–China Trade War and Chinese Corporate Innovation”, authored by Jian Du, Xingye Jin, Jing Li, and Xinyi Shen.This version was last updated on January 12, 2026.
DOI: 10.25574/30627
title: Chandra X-ray Observatory ObsId 30627

description: Deep observation of the highest-redshift X-ray jet
DOI: 10.5281/zenodo.18247814
title: Baccharis sagittalis var. montevidensis Baker. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18247815
title: Baccharis sagittalis var. montevidensis Baker. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.25574/30681
title: Chandra X-ray Observatory ObsId 30681

description: ASSESSING THE IMPACT OF DWARF GALAXY MERGERS ON BLACK HOLE GROWTH
DOI: 10.18120/4f3c-6792
title: SMS SIMPACE
DOI: 10.17632/y4gcf884x8.1
title: Geochemistry and X-ray diffraction data from rock salts and saltwork wastes of Canada: data compilation

description: This report compiles geochemical data from major salt formations and associated beds occurring in the subsurface (~200-2000 m) of sedimentary basins within onshore Canada. Included are new project data (obtained since 2022), those published in research papers, and non-confidential data from national and provincial databases. Rock materials are mostly diamond-bit cores from wells drilled for oil and gas, salt mines, salt cavern, or potash exploration. Four data categories are reported: (1) lithogeochemistry data are whole-rock analytical results acquired predominantly with 4-acid digestion on ICP instrumentation; (2) brined cores – salt samples put into solution with deionised water and analysed with ICP instrumentation; (3) a small set of real industrial brines from salt/potash mines and salt cavern storage operations. The category (4) includes new semi-quantitative X-ray diffraction (XRD) data made on whole rocks (3 clay-fraction samples also included), as well as insoluble residues from brined samples. The brined core data simulate chemical composition of brines produced by industrial solution mining; they are reported in NaCl saturated notation. A large portion of lithogeochemistry data comes from non-salt beds associated with salt deposits: silty marls, carbonates (“red beds”), and anhydrites. The range of reported elements varies between datasets. New analyses were performed with the goal to assess trace elements from the “Critical Minerals” list (Li, Rb,… REEs), along with major elements making up lithic impurities in salts. This compilation provides data support for ongoing Government of Canada research programs, analytical publications, and is intended for broader industry (solution mining, etc.) and public use.
This report compiles geochemical data from major salt formations and associated beds (marls, carbonates, anhydrites) occurring in the subsurface (~200-2000 m) of onshore Canada. Included are our previously unpublished data (479 data lines), those published in research papers, and non-confidential data from national and provincial databases (2415 data lines). We report whole-rock lithogeochemistry, results from brined cores (170 data lines; salt samples put into solution with deionised water), a small set of real industrial brines, new semi-quantitative XRD data made on whole rocks (269 data), plus 3 clay-fraction XRD data. The brined core data simulate chemical composition of brines produced by industrial solution mining; they are reported in NaCl saturated notation. New analyses were performed with the goal to assess trace elements from the “Critical Minerals” list (Li, Rb,… REEs), along with major elements making up lithic impurities in salts.
DOI: 10.17632/mrchhxsgdt
title: Clonotypic Insulation And Microbiome-Associated Filtering Define The Human Airway T Cell Repertoire

description: Tissue-resident immunity in the human lung is often inferred from circulating immune profiles, yet the organizational principles governing airway T cell receptor (TCR) repertoires remain poorly defined. Using TRUST4-based reconstruction of TCR repertoires from bulk RNA sequencing of matched peripheral blood, bronchoalveolar lavage (BAL), and induced sputum samples, we define the structural logic of human airway T cell immunity. Across all TCR chains, airway repertoires were clonotypically insulated from circulation, exhibiting minimal overlap with blood despite selective sharing of high-abundance clonotypes. TCR diversity progressively contracted from blood to BAL to sputum, accompanied by increased clonal dominance, consistent with compartmental filtering along the airway axis. Stratification by HIV infection and chronic obstructive pulmonary disease (COPD) revealed modest modulation without disrupting architecture. Microbiome-TCR interaction analyses identified clonotype-specific disease modification selectively in BAL. Together, these findings establish the airway as a structurally insulated immune niche whose T cell repertoire is shaped by compartmental filtering and disease-modified microbial coupling
DOI: 10.17632/mrchhxsgdt.1
title: Clonotypic Insulation And Microbiome-Associated Filtering Define The Human Airway T Cell Repertoire

description: Tissue-resident immunity in the human lung is often inferred from circulating immune profiles, yet the organizational principles governing airway T cell receptor (TCR) repertoires remain poorly defined. Using TRUST4-based reconstruction of TCR repertoires from bulk RNA sequencing of matched peripheral blood, bronchoalveolar lavage (BAL), and induced sputum samples, we define the structural logic of human airway T cell immunity. Across all TCR chains, airway repertoires were clonotypically insulated from circulation, exhibiting minimal overlap with blood despite selective sharing of high-abundance clonotypes. TCR diversity progressively contracted from blood to BAL to sputum, accompanied by increased clonal dominance, consistent with compartmental filtering along the airway axis. Stratification by HIV infection and chronic obstructive pulmonary disease (COPD) revealed modest modulation without disrupting architecture. Microbiome-TCR interaction analyses identified clonotype-specific disease modification selectively in BAL. Together, these findings establish the airway as a structurally insulated immune niche whose T cell repertoire is shaped by compartmental filtering and disease-modified microbial coupling
DOI: 10.25934/pr00010192.0
title: Available datapackage for study 'A PHASE 3 RANDOMIZED, DOUBLE-BLIND, PLACEBO-CONTROLLED, MULTICENTER STUDY OF THE ANALGESIC EFFICACY AND SAFETY OF A DOSE TITRATION REGIMEN FOR THE SUBCUTANEOUS ADMINISTRATION OF TANEZUMAB IN SUBJECTS WITH OSTEOARTHRITIS OF THE HIP OR KNEE'

description: The primary purpose of this study is to evaluate the efficacy of a titration arm of tanezumab in which treatment is started at a lower dose (2.5 mg) and increased to a higher dose (5 mg) at Week 8, compared to giving 2 doses of tanezumab 2.5 mg or 2 doses of placebo. The study also evaluates the safety of the treatment regimens.
DOI: 10.17632/kxgcm22j93
title: raw sequence

description: Sequencing data of soil and cultured samples
DOI: 10.17632/kxgcm22j93.1
title: raw sequence

description: Sequencing data of soil and cultured samples
DOI: 10.17632/gp72zcnyps
title: Optimal Cabinet duration and economic performance

description: This database is a Panel Dataset (also known as longitudinal data) structured to track political transitions and their macroeconomic consequences across multiple jurisdictions over time. It is designed specifically to capture the non-linear relationship between ministerial stability and economic output.
Below is the technical description of the database and how its variables are structured to test your three-phase hypothesis.
1. Data Structure and Unit of Observation
The database is organized by Country-Year (or Country-Month) observations. This allows for the tracking of:
 * Within-unit changes: How a single country's growth changes as a cabinet ages.
 * Between-unit changes: How different countries' growth rates compare during reshuffle years versus stable years.
2. Variable Classification
The database consists of three distinct tiers of variables designed to isolate the "Threshold" effect:
A. The Dependent Variable (Outcome)
 * Economic Growth per Capita: Measured as the annual percentage change in real GDP per capita. This serves as the benchmark for "Ministerial Performance."
B. Core Explanatory Variables (The Political "Clock")
These variables are the heart of the "three-phase" analysis:
 * Cabinet Reshuffle Event: A binary (0/1) or count variable. It marks the "reset" of the clock and allows for the measurement of the Learning Phase (the immediate friction/cost of changing personnel).
 * Cabinet Duration (Tenure): A continuous variable measuring the time elapsed since the last reshuffle or government formation. This captures the Performance Phase (accumulation of ministerial experience).
 * Duration Squared (Duration^2): A quadratic term used to identify the Moral Hazard Phase. This variable allows the statistical model to curve downward, showing where the costs of long-term tenure (complacency/corruption) begin to exceed the benefits of experience.
C. Control Variables (Contextual Filters)
To ensure that economic growth is actually being driven by cabinet dynamics and not outside forces, the database includes:
 * Macroeconomic Controls: Inflation rates, trade openness, and external debt.
 * Institutional Controls: Regime type (democracy vs. autocracy) and legislative margins.
3. The Three-Phase Theoretical Mapping
The database is structured to facilitate the following mathematical relationship:
 * Learning Phase: Characterized by the immediate aftermath of a Reshuffle Event. The data often shows a "dip" in performance here as new ministers navigate their portfolios.
 * Performance Phase: Represented by the linear Duration variable. As the value increases, the database should show a positive correlation with GDP growth, reflecting the "Experience Effect."
 * Moral Hazard Phase: Represented by the Duration Squared term. After a specific Threshold, the negative coefficient of this variable begins to pull the growth rate down, signifying the point where ministerial "entrenchment" becomes an economic liability.
DOI: 10.17632/gp72zcnyps.1
title: Optimal Cabinet duration and economic performance

description: This database is a Panel Dataset (also known as longitudinal data) structured to track political transitions and their macroeconomic consequences across multiple jurisdictions over time. It is designed specifically to capture the non-linear relationship between ministerial stability and economic output.
Below is the technical description of the database and how its variables are structured to test your three-phase hypothesis.
1. Data Structure and Unit of Observation
The database is organized by Country-Year (or Country-Month) observations. This allows for the tracking of:
 * Within-unit changes: How a single country's growth changes as a cabinet ages.
 * Between-unit changes: How different countries' growth rates compare during reshuffle years versus stable years.
2. Variable Classification
The database consists of three distinct tiers of variables designed to isolate the "Threshold" effect:
A. The Dependent Variable (Outcome)
 * Economic Growth per Capita: Measured as the annual percentage change in real GDP per capita. This serves as the benchmark for "Ministerial Performance."
B. Core Explanatory Variables (The Political "Clock")
These variables are the heart of the "three-phase" analysis:
 * Cabinet Reshuffle Event: A binary (0/1) or count variable. It marks the "reset" of the clock and allows for the measurement of the Learning Phase (the immediate friction/cost of changing personnel).
 * Cabinet Duration (Tenure): A continuous variable measuring the time elapsed since the last reshuffle or government formation. This captures the Performance Phase (accumulation of ministerial experience).
 * Duration Squared (Duration^2): A quadratic term used to identify the Moral Hazard Phase. This variable allows the statistical model to curve downward, showing where the costs of long-term tenure (complacency/corruption) begin to exceed the benefits of experience.
C. Control Variables (Contextual Filters)
To ensure that economic growth is actually being driven by cabinet dynamics and not outside forces, the database includes:
 * Macroeconomic Controls: Inflation rates, trade openness, and external debt.
 * Institutional Controls: Regime type (democracy vs. autocracy) and legislative margins.
3. The Three-Phase Theoretical Mapping
The database is structured to facilitate the following mathematical relationship:
 * Learning Phase: Characterized by the immediate aftermath of a Reshuffle Event. The data often shows a "dip" in performance here as new ministers navigate their portfolios.
 * Performance Phase: Represented by the linear Duration variable. As the value increases, the database should show a positive correlation with GDP growth, reflecting the "Experience Effect."
 * Moral Hazard Phase: Represented by the Duration Squared term. After a specific Threshold, the negative coefficient of this variable begins to pull the growth rate down, signifying the point where ministerial "entrenchment" becomes an economic liability.
DOI: 10.15468/dl.dkq5dh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.28.2_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009501-260108223611665/datasets/export for details.
DOI: 10.17632/bdzg4tjy63.2
title: DSLR and Smartphone Camera-Based Plastic Waste Detection Dataset from Cox’s Bazar Sea Beach, Bangladesh

description: The Cox’s Bazar Beach Plastic Waste Detection Dataset (CoxPWD 2025) is an object detection dataset of 4,195 RGB images collected from Cox’s Bazar, Bangladesh. Images were captured at Kolatoli Beach, Sugandha Beach and Laboni Beach using an iPhone 15 Pro Max, Google Pixel 6 and Canon 650D under sunny, cloudy and rainy conditions during morning, noon and afternoon, with camera heights of approximately 1 m and 6 m and viewpoints of approximately 15° and 45° from the left and right to capture realistic variation in scale, occlusion, lighting and background. All images are stored as 640×640 JPEG files and annotated for bounding box object detection in COCO format with 14 plastic waste classes which are packet, polythene, cup, spoon, straw, rope, bag, bottle, bottle_cap, net, sunglass, toy, fishing_item and others. The dataset is split into 80 percent training (3,367 images), 10 percent validation (414 images) and 10 percent test (414 images) with a separate _annotations.coco.json file for each subset, making it directly usable for YOLOv8 and other deep learning models for coastal plastic waste monitoring and benchmarking.
DOI: 10.5281/zenodo.18247823
title: Baccharis salicifolia (Ruiz & Pav.) Pers. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18247824
title: Baccharis salicifolia (Ruiz & Pav.) Pers. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.17632/x7sg4kgv8s
title: Chicory Sesquiterpene Lactones-Trained Faeces-derived Extracellular Vesicles Alleviated Ulcerative Colitis by Modulating Gut Microbiota and Bile Acids Metabolism

description: The gut microbiota communicates with the host via extracellular vesicles (EVs), offering a promising therapeutic target for ulcerative colitis (UC). This study investigates the therapeutic potential of sesquiterpene lactones (SL) from chicory and the EVs derived from the feces of SL-treated mice (SL-trained FEVs) in a dextran sulfate sodium (DSS)-induced UC model. Oral administration of SL significantly ameliorated colitis symptoms, reduced intestinal inflammation, preserved intestinal barrier integrity by maintaining tight junction proteins, and attenuated colonic tissue damage. These protective effects were mechanistically linked to the attenuation of gut microbiota dysbiosis and the restoration of bile acid metabolism homeostasis. Notably, gavage of SL-trained FEVs recapitulated the therapeutic benefits of direct SL treatment, demonstrating the critical role of microbiota-derived EVs in mediating SL's effects. Profiling revealed that SL treatment enriched specific microRNAs (e.g., miR-26a-5p, miR-200b-3p, and miR-194-5p) within these FEVs. Both SL and SL-trained FEVs induced comparable and significant shifts in the gut microbiota composition, notably modulating the relative abundance of genera including Odoribacter, Oscillibacter, Escherichia-Shigella, g-Clostridia_UCG-014_unclassified, and phyla such as p-Actinobacteriota and p-Patescibacteria. Concomitantly, both interventions significantly altered key bile acid profiles, affecting levels of taurocholic acid (TCA), lithocholic acid (LCA), nor-deoxycholic acid (NorDCA), and taurochenodeoxycholic acid (TCDCA). In conclusion, our findings highlight SL and SL-trained FEVs as promising agents for UC treatment, acting through the coordinated modulation of the gut microbiota-bile acid axis, and propose FEVs as a novel, targeted delivery system for microbiota-based therapeutics. This dataset includes two targeted metabolomics data against intestinal contents of bile acids and one miRNA omics data against extracellular vesicles derived from the gut microbiota performed in that study.