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Resultados totales (Incluyendo duplicados): 3627
Encontrada(s) 363 página(s)
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431535
Set de datos (Dataset). 2026

SUPPORTING INFORMATION: HUMAN GUT MICROBIOME CAN DEGRADE THE SWEETENER ACESULFAME K WITH POTENTIAL DAMAGING EFFECTS IN THE INTESTINAL BARRIER FUNCTION

  • Bellanco-Sevilla, Alicia
  • Yépez-Notario, Cristina
  • Lozano, Marta
  • Martínez-Cuesta, M. Carmen
  • Requena, Teresa
Relative abundance of enzymatic functions involved in the microbial degradation of Ace-K, specifically sulfatases, amidases, and butyrate-acetoacetate CoA-transferase activities (XLSX)., Comparison of the alpha-diversity indexes between the microbiota supplemented with Acesulfame-K (Ace-K) and the control and the SCFA and ammonium values in the same Ace-K and control samples; relative abundance of genes conferring antibiotic resistance in the microbiota treated with Ace-K; viability of Caco-2 cells exposed to Ace-K; supernatants from the microbiota fed on Ace-K; epithelial integrity of Caco-2 cells treated with Ace-K; microbiota fed on Ace-K; correlation of A. hadrus abundance, butyric acid concentration, and Ace-K supplementation; and viability of Caco-2 cells exposed to sulfamic acid (PDF)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/431535
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431535
HANDLE: http://hdl.handle.net/10261/431535
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431535
PMID: http://hdl.handle.net/10261/431535
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431535
Ver en: http://hdl.handle.net/10261/431535
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431535

DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431541
Set de datos (Dataset). 2026

PATHOTYPR: PHYLOGENETIC MARKERS AND DRUG RESISTANCE MUTATION CATALOGUE FOR MYCOBACTERIUM TUBERCULOSIS COMPLEX

  • Ruiz-Rodríguez, Paula
  • Coscollá, Mireia
Marker files for Pathotypr v1.0.0, a tool for harmonised lineage assignment and resistance-associated variant detection in the Mycobacterium tuberculosis complex (MTBC)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/431541
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431541
HANDLE: http://hdl.handle.net/10261/431541
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431541
PMID: http://hdl.handle.net/10261/431541
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431541
Ver en: http://hdl.handle.net/10261/431541
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431541

DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431547
Set de datos (Dataset). 2026

HIGH-DIMENSIONAL TRANSCRIPTOMIC DATASET FOR THE AMDCONFIGURATIONS PACKAGE

  • Mendoza García, Manuel
  • Medina, Miguel Ángel
This dataset contains the full cleaned transcriptomic matrix used in the AMDconfigurations package and the associated publication. It includes 931 samples and approximately 58,000 gene-expression variables obtained from a cancer compendium. Metadata columns ("ID" and "type") are preserved, and all remaining variables correspond to normalized gene-expression measurements., The AMDconfigurations R package includes only a reduced version of this dataset (Transcdata_small, 1000 variables with highest variance) to remain lightweight and CRAN‑compatible. This Zenodo record provides the complete dataset required to reproduce all analyses presented in the publication., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/431547
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431547
HANDLE: http://hdl.handle.net/10261/431547
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431547
PMID: http://hdl.handle.net/10261/431547
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431547
Ver en: http://hdl.handle.net/10261/431547
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431547

DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431551
Set de datos (Dataset). 2026

AN AUTOMATED AND RESOURCE-EFFICIENT SYNCHROTRON WORKFLOW FOR FRAGMENT-TO-SCAFFOLD PROGRESSION ENABLES RAPID DISCOVERY OF PROTEIN–PROTEIN INTERACTION MODULATORS

  • Muñoz-Reyes, Daniel
  • Fieseler, Kate Kirk
  • Winokan, Max
  • Golding, Mathew
  • Capkin, Eda
  • Ferla, Matteo
  • Marples, Peter George
  • Miro-Rodríguez, Celia
  • Aguado, Lorena
  • Mansilla, Alicia
  • Fearon, Daren
  • Thompson, Warren
  • Von Delft, Frank
  • Sánchez-Barrena, María José
This data deposition contains comprehensive experimental and structural data for the NCS1 project: An automated and resource-efficient synchrotron workflow for fragment-to-scaffold progression enables rapid discovery of protein–protein interaction modulators, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/431551
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431551
HANDLE: http://hdl.handle.net/10261/431551
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431551
PMID: http://hdl.handle.net/10261/431551
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431551
Ver en: http://hdl.handle.net/10261/431551
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431551

DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431579
Set de datos (Dataset). 2026

ANISOTROPIC BIOT COEFFICIENT DRIVES FAILURE IN FRACTURED ROCKS

  • De Simone, Silvia
Scripts associated to submitted mansuscript., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/431579
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431579
HANDLE: http://hdl.handle.net/10261/431579
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431579
PMID: http://hdl.handle.net/10261/431579
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431579
Ver en: http://hdl.handle.net/10261/431579
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431579

DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431582
Set de datos (Dataset). 2026

DATA FROM: COMMUNITY COMPOSITION MEDIATES INTERANNUAL SHIFTS IN POLLINATORS' ROLES WITHIN NETWORKS

  • Kazantzidou, Io
  • Gómez-Martínez, Carmelo
  • González-Estévez, Miguel A.
  • Lázaro, Amparo
Data associated with article DOI: 10.1002/njb.05010. Includes the species-level network metric calculated for each pollinator species in 2018 and 2022, as well as the differences in metrics between years. Separately are shown the dataset for the analyses at the pollinator-group level and the species that appeared in both study years., Spanish Ministry of Science, Innovation, and Universities, and the Spanish State Research Agency: CGL2017-89254-R, Spanish Ministry of Science, Innovation, and Universities, and the Spanish State Research Agency: PID2020-117863RB-I00, Spanish Ministry of Science, Innovation, and Universities, and the Spanish State Research Agency: PID2023-150295OBI00, Peer reviewed

DOI: http://hdl.handle.net/10261/431582
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431582
HANDLE: http://hdl.handle.net/10261/431582
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431582
PMID: http://hdl.handle.net/10261/431582
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431582
Ver en: http://hdl.handle.net/10261/431582
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431582

DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431592
Set de datos (Dataset). 2025

SARDINIA - MALLORCA REPEATED TRANSECT (SMART)

  • Chiggiato, Jacopo
  • Schroeder, Katrin
  • Borghini, M.
  • Tintoré, Joaquín
  • Zarokanellos, Nikolaos
  • Miralles, Albert
  • Rubio, Manuel
  • Rivera, Patricia
  • Charcos-Llorens, Miguel
  • Casas, Benjamín
The Coastal Observation and Forecast System of the Balearic Islands (SOCIB) strongly supports the open access initiative (no payment to publish or read) and uses the Creative Commons Attribution License (CC BY 4.0). The SOCIB Data Repository is an open access repository which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, search, or use them for any lawful purpose (commercial and non-commercial), without asking prior permission and provided that changes made on original data are indicated and the original data is cited appropriately., El dataset se puede consultar y descargar en el siguiente enlace / The dataset can be viewed and downloaded via the following link https://doi.org/10.25704/ZWMH-AP87, The SMART (Sardinia MAllorca Repeated Transect) glider mission datasets are part of the long-term endurance program between a repeated longitudinal transect between Menorca (Spain)-Sardinia (Italy), in the Western Mediterranean Sea, for monitoring the medium to long term variability of the surface and intermediate water masses. The archive spans nearly a decade, covering missions conducted from 2025 to 2024. The dataset delivers quality-controlled vertical profiles (up to 1000m depth) of navigation and physical variables (timestamps, pressure, temperature, conductivity, pitch, roll, oil volume for buoyancy control, and GPS coordinates). Working the Slocum Deep Glider "TERESA", owned and managed by CNR-ISMAR and piloted by SOCIB-GF., SMART missions are part of the long-term quasi endurance program between Menorca-Sardinia to monitor medium-to-long-term variability of surface and intermediate water masses. The SMART program aims to be sustained over the years to understand the transitional layer between intermediate and deep water, which is subject to the effects of the WMT and where the thermohaline staircase., CNR-ISMAR; Ministerio de Ciencia, Innovación y Universidades; Govern de les Illes Balears; European Union's Horizon 2020 research and innovation programme; Consejo Superior de Investigaciones Científicas (España); Ministerio de Ciencia, Innovación y Universidades/Agencia Estatal de Investigación (España)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/431592
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431592
HANDLE: http://hdl.handle.net/10261/431592
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431592
PMID: http://hdl.handle.net/10261/431592
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431592
Ver en: http://hdl.handle.net/10261/431592
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431592

DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431602
Set de datos (Dataset). 2022

SOCIB CALYPSO GLIDER OBSERVATIONS

  • Miralles, Albert
  • Rubio, Manuel
  • Rivera, Patricia
  • Zarokanellos, Nikolaos
  • Charcos-Llorens, Miguel
  • Fernández, Juan Gabriel
  • Rudnick, Daniel L.
  • Balaguer, Pau
  • Wirth, Niko
  • Casas, Benjamín
  • Baeza, J.
  • Calafat, Noemí
  • Juzà, Melanie
  • Notario, Xisco
  • Ruiz, Simón
  • Heslop, Emma
  • Muñoz, Cristian
  • Allen, John T.
  • Tintoré, Joaquín
The Coastal Observation and Forecast System of the Balearic Islands (SOCIB) strongly supports the open access initiative (no payment to publish or read) and uses the Creative Commons Attribution License (CC BY 4.0). The SOCIB Data Repository is an open access repository which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, search, or use them for any lawful purpose (commercial and non-commercial), without asking prior permission and provided that changes made on original data are indicated and the original data is cited appropriately., El dataset se puede consultar y descargar en el siguiente enlace / The dataset can be viewed and downloaded via the following link https://doi.org/10.25704/qmzf-vv36, CALYPSO (Coherent Lagrangian Pathways from the Surface Ocean to Interior) is an ONR Departmental Research Initiative that addresses the challenge of observing, understanding and predicting the three-dimensional pathways by which water from the surface ocean makes its way into the deeper ocean. Discovering the routes by which trace substances, phytoplankton, and dissolved gases like oxygen, are transported vertically, as they are also carried horizontally by oceanic currents, is the goal of this research. An innovative set of observational techniques are being used, along with process study models, predictive models, and data synthesis, to identify coherent pathways for vertical transport and to diagnose and predict the physical processes that underlie such subduction., ONR Departmental Research Initiative; Ministerio de ciencia, innovación y universidades (http://www.ciencia.gob.es/); Govern de les Illes Balears (http://www.caib.es/); IMEDEA(http://imedea.uib-csic.es)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/431602
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431602
HANDLE: http://hdl.handle.net/10261/431602
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431602
PMID: http://hdl.handle.net/10261/431602
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431602
Ver en: http://hdl.handle.net/10261/431602
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431602

DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431665
Set de datos (Dataset). 2026

A GLOBALLY CONSISTENT SCALING RELATIONSHIP REVEALS STABILIZING EFFECTS OF DOMINANT SPECIES IN PLANT COMMUNITIES [DATASET]

  • Gracia, Clara
  • Segrestin, Jules
  • Lepš, Jan
  • Adler, Peter B.
  • Harrison, Susan P.
  • Götzenberger, Lars
  • Valencia, Enrique
  • Lecegui, Víctor
  • Bazzichetto, Manuele
  • Canullo, Roberto
  • Chelli, Stefano
  • Dengler, Jürgen
  • Essl, Franz
  • Fischer, Felícia M.
  • Guido, Anaclara
  • Hallet, Lauren
  • Herben, Tomas
  • Hölzel, Norbert
  • Jentsch, Anke
  • Kertész, Miklós
  • Li, Xiaofei
  • Ónodi, Gábor
  • Pakeman, Robin J.
  • Paquette, Alain
  • Pussa, Kersti
  • Risch, Anita C.
  • Rueda, Marta
  • Schmidt, Wolfgang
  • Schmiedel, Ute
  • Zhong, Zhiwei
  • Zobel, Martin
  • de Bello, Francesco
This repository contains the data and R Markdown code required to reproduce the analyses and figures presented in the manuscript “A Globally Consistent Relationship Reveals Stabilizing Effects of Dominant Species in Plant Communities.”, The dataset provided here includes the results of calculating Taylor’s Power Law (TPL) relationship for 11,676 plant communities derived from the LOTVS database (https://lotvs.csic.es/). Due to ownership by various authors and organisations, the raw data cannot be freely shared. However, extensive metadata describing each plot and the TPL calculation results are shared., The vegetation plots span 92 distinct datasets, each representing a unique location and experimental design. These datasets vary in abundance quantification methods (e.g., aboveground biomass, species cover estimates, and species frequencies), plot sizes (median = 1 m², range = 0.04–3000 m²), vegetation types (grassland, shrubland, savanna, forest understory, tundra, and salt marsh), and management regimes (e.g., grazing, fertilization, burning). The dataset encompasses a total of 11,676 individual plots across 92 localities, with 1,216,339 abundance observations., This data was used to test the hypothesis of a globally consistent TPL relationship within plant communities, with implications for understanding community stability on a worldwide scale., Despite extensive research, the mechanisms stabilizing ecosystems remain uncertain. Taylor’s Power Law (TPL), which describes how variance scales with mean abundance (σ² = aμᵇ), is a pervasive ecological pattern. While TPL has been widely examined within populations, its role across species within communities and its implications for stability remain largely unexplored. A TPL scaling exponent (b) < 2 implies a stabilizing influence of dominant species—hereafter referred to as the dominance effect—where community stability emerges because dominant species are relatively more stable than subordinate species. Using data from over 9,000 permanent vegetation plots worldwide, we quantified within-community TPL, linked variation in the exponent b to dominance effects on temporal stability, and identified the biotic and abiotic drivers shaping b. We found a ubiquitous within-community TPL (mode R² = 0.92) with consistently b < 2, indicating widespread dominance effects. Variation in b, together with species evenness, strongly contributed to dominance-driven stability. Lower b values were associated with resource-conservative strategies and greater climatic seasonality, highlighting the role of environmental filtering in shaping community stability. Overall, these results demonstrate that dominance effects on temporal stability are widespread, particularly in communities dominated by woody, large-seeded species in cold and seasonal climates, and identify the TPL exponent b as a powerful indicator of the stabilizing role of dominant species, complementing the well-established effects of species diversity., Spanish Foundation for Science and Technology; Fundación Ramón Areces: Ayudas Fundación Ramón Areces para la realización de Tesis Doctorales en Ciencias de la Vida y de la Materia, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/431665
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431665
HANDLE: http://hdl.handle.net/10261/431665
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431665
PMID: http://hdl.handle.net/10261/431665
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431665
Ver en: http://hdl.handle.net/10261/431665
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431665

DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431724
Set de datos (Dataset). 2024

USE OF SOLID PARTICLES FOR STRATOSPHERIC SOLAR RADIATION MODIFICATION CAN REDUCE CLIMATIC SIDE EFFECTS COMPARED TO SO2 USAGE

  • Stefanetti, Fabrice
  • Chiodo, Gabriel
  • Vattioni, Sandro
  • Sukhodolov, Timofei
  • Sedláček, Jan
  • Keutsch, Frank
  • Dykema, John A.
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/431724
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431724
HANDLE: http://hdl.handle.net/10261/431724
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431724
PMID: http://hdl.handle.net/10261/431724
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431724
Ver en: http://hdl.handle.net/10261/431724
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431724

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