Resultados totales (Incluyendo duplicados): 36813
Encontrada(s) 3682 página(s)
Encontrada(s) 3682 página(s)
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271111
Set de datos (Dataset). 2022
PIRAGUA_ATMOS_ANALYSIS [DATASET]
ANÁLISIS ATMOSFÉRICO PIRAGUA [DATASET]
- Quintana-Seguí, Pere
- Le Cointe, Pierre
- POCTEFA-PIRAGUA Team
[EN] It contains a netCDF file by variable and hydrological year with daily data for the variables Liquid Precipitation, Total Precipitation, Relative Humidity, Wind Speed and Temperature. Hourly data are available by contacting the author.
[ES] Contiene un fichero netCDF por variable y año hidrológico con los datos diarios de las variables Precipitación líquida, Precipitación total, Humedad relativa, Velocidad del Viento y Temperatura. Los datos horarios están disponibles contactando con el autor., [EN] Daily gridded dataset of screen-level meteorological variables created with the aim to force hydrological and land-surface models. The grid has a spatial resolution of 2.5 km and was created using the SAFRAN algorithm. SAFRAN uses optimal interpolation to combine a first guess (ERA5) and meteorological observations from AEMET and Météo-France. The dataset contains the following variables: precipitation, wind speed, temperature, potential evapotranspiration (Penman-Monteith) and relative humidity.
The dataset was generated within the project EFA210/16 PIRAGUA ("Evaluation and prospective of the water resources of the Pyrenees in a context of climate change, and adaptation measures with impact on the territory")., [ES] Conjunto de datos diarios en retícula de variables meteorológicas cerca de la superficie creado con el objetivo de forzar modelos hidrológicos y de superficie terrestre (LSM). La malla tiene una resolución de 2,5 km, y se creó utilizando el algoritmo SAFRAN. SAFRAN utiliza interpolación óptima para combinar una primera estimación (ERA5) y las observaciones meteorológicas de AEMET y Météo-France. El conjunto de datos contiene las siguientes variables: precipitación, velocidad del viento, temperatura, evapotranspiración potencial (Penman-Monteith) y humedad relativa.
El conjunto de datos se generó en el proyecto EFA210/16 PIRAGUA ("Evaluación y prospectiva de los recursos hídricos de los Pirineos en un contexto de cambio climático, y medidas de adaptación con impacto en el territorio")., [FR] Ensemble de données maillées de variables météorologiques proches de la surface créées dans le but de forcer des modèles hydrologiques et de surface terrestre (LSM). Le maillage a une résolution de 2,5 km et a été créé à l'aide de l'algorithme SAFRAN. SAFRAN utilise une interpolation optimale pour combiner une première estimation (ERA5) et des observations météorologiques d'AEMET et de Météo-France. L'ensemble de données contient les variables suivantes : précipitations, vitesse du vent, température, évapotranspiration potentielle (Penman-Monteith) et humidité relative.
Le jeu de données a été généré dans le cadre du projet EFA210/16 PIRAGUA ("Evaluation et prospective des ressources en eau des Pyrénées dans un contexte de changement climatique, et mesures d'adaptation ayant un impact sur le territoire")., This dataset was developed within the project EFA210/16 PIRAGUA (“Evaluación y prospectiva de los recursos hídricos de los Pirineos en un contexto de cambio climático, y medidas de adaptación con impacto en el territorio / Evaluation et prospective des ressources en eau des Pyrénées dans un contexte de changement climatique, et mesures d’adaptation avec un impact sur le territoire”), co-funded by the European Regional Development Fund (ERDF) through the Interreg V-A Spain France Andorra program (POCTEFA 2014-2020) (65%) and the project’s partners: CSIC, UPV/EHU, UB, OE, IGME, CNRS, BRGM, INRAE and OBSA (35%)., No
Proyecto: //
DOI: http://hdl.handle.net/10261/271111, https://doi.org/10.20350/digitalCSIC/14665
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271111
HANDLE: http://hdl.handle.net/10261/271111, https://doi.org/10.20350/digitalCSIC/14665
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271111
PMID: http://hdl.handle.net/10261/271111, https://doi.org/10.20350/digitalCSIC/14665
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271111
Ver en: http://hdl.handle.net/10261/271111, https://doi.org/10.20350/digitalCSIC/14665
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271111
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/291126
Set de datos (Dataset). 2023
PHYLOGENOMICS SHEDS NEW LIGHT ON THE DRIVERS BEHIND A LONG-LASTING SYSTEMATIC RIDDLE: THE FIGWORT FAMILY SCROPHULARIACEAE
- Tamara Villaverde
- Sanmartin, Isabel
The figwort family, Scrophulariaceae, comprises c. 1800 species whose evolutionary relationships at the tribal level have proven difficult to resolve, hindering our ability to understand their origin and diversification.
We designed a specific probe kit for Scrophulariaceae, targeting 849 nuclear loci and obtaining plastid regions as by-products. We sampled c. 80% of the genera described in the family and use the nuclear dataset to estimate evolutionary relationships, timing of diversification and biogeographic patterns.
Ten tribes, including two new tribes, Androyeae and Camptolomeae, are supported and the phylogenetic positions of Androya, Camptoloma and Phygelius are unveiled. Our study reveals a major diversification at c. 60 Ma in the Paleogene, where two different lineages diversified, one of which gave rise to nearly 81% of extant species. A southern African origin is estimated for most modern-day tribes, with two exceptions, the American Leucophylleae and the mainly Australian Myoporeae. The rapid mid-Eocene diversification is aligned with geographic expansion in Africa in most tribes, from southern to tropical Africa, followed by multiple dispersals out-of-Africa.
Our robust phylogeny provides a framework for future studies aimed at understanding the role of macroevolutionary patterns and processes that generated Scrophulariaceae diversity., Spanish Ministry of Science and Innovation (CGL2015-67849-P), USA National Science Foundation (DEB, 131111), Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/291126, https://doi.org/10.20350/digitalCSIC/15135
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/291126
HANDLE: http://hdl.handle.net/10261/291126, https://doi.org/10.20350/digitalCSIC/15135
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/291126
PMID: http://hdl.handle.net/10261/291126, https://doi.org/10.20350/digitalCSIC/15135
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/291126
Ver en: http://hdl.handle.net/10261/291126, https://doi.org/10.20350/digitalCSIC/15135
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/291126
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/306168
Set de datos (Dataset). 2023
IPCC-WGI AR6 INTERACTIVE ATLAS DATASET: CORDEX SOUTH EAST ASIA (SEA)
- CSIC-UC - Instituto de Física de Cantabria (IFCA)
Gridded monthly climate projection dataset underpinning the IPCC AR6 Interactive Atlas for the impact-relevant variables and indices., The IPCC WG1 Interactive Atlas is an online tool that provides interactive visualizations and geospatial data related to the physical scientific basis of climate change. This platform allows users to explore and visualize geographical information interactively and dynamically. It presents data using maps, charts, and other visualizations, enabling users to understand complex information spatially and temporally. The interactive Atlas includes climate data for relevant variables, key climate indicators, and trends, all derived from climate model simulations., The IPCC-WGI AR6 Interactive Atlas dataset comprises monthly gridded data from global (CMIP5, CMIP6) and regional (CORDEX) model projections for the impact-relevant variables and indices featured in the IPCC Interactive Atlas (https://interactive-atlas.ipcc.ch)., Peer reviewed, 2
DOI: http://hdl.handle.net/10261/306168, https://doi.org/10.20350/digitalCSIC/15211
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/306168
HANDLE: http://hdl.handle.net/10261/306168, https://doi.org/10.20350/digitalCSIC/15211
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/306168
PMID: http://hdl.handle.net/10261/306168, https://doi.org/10.20350/digitalCSIC/15211
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/306168
Ver en: http://hdl.handle.net/10261/306168, https://doi.org/10.20350/digitalCSIC/15211
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/306168
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329440
Set de datos (Dataset). 2023
BIVALVES PRESENT THE LARGEST AND MOST DIVERSIFIED REPERTOIRE OF TOLL-LIKE RECEPTORS IN THE ANIMAL KINGDOM, SUGGESTING BROAD-SPECTRUM PATHOGEN RECOGNITION IN MARINE WATERS [DATASET]
- Saco, Amaro
- Novoa, Beatriz
- Greco, Samuele
- Gerdol, Marco
- Figueras Huerta, Antonio
4 files, Additional data derived from "Bivalves present the largest and most diversified repertoire of Toll-like receptors in the animal kingdom, suggesting broad-spectrum pathogen recognition in marine waters".
-TLR sequences indetified in the annotation of 85 metazoan genomes
-TLR sequences de novo indentified in the genomes of three mussel species
-Snakemake pipeline and script to calculate saturation curves from the salmon output of the mapping of different mussel SRA transcriptomic samples to the mussel genome
-Pipeline used to calculate the modulated transcripts for different mussel transcriptomes, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/329440, https://doi.org/10.20350/digitalCSIC/15340
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329440
HANDLE: http://hdl.handle.net/10261/329440, https://doi.org/10.20350/digitalCSIC/15340
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329440
PMID: http://hdl.handle.net/10261/329440, https://doi.org/10.20350/digitalCSIC/15340
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329440
Ver en: http://hdl.handle.net/10261/329440, https://doi.org/10.20350/digitalCSIC/15340
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329440
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/332635
Set de datos (Dataset). 2023
IPCC-WGI AR6 INTERACTIVE ATLAS DATASET: CORDEX CENTRAL AMERICA (CAM)
- CSIC-UC - Instituto de Física de Cantabria (IFCA)
Gridded monthly climate projection dataset underpinning the IPCC AR6 Interactive Atlas for the impact-relevant variables and indices., The IPCC WG1 Interactive Atlas is an online tool that provides interactive visualizations and geospatial data related to the physical scientific basis of climate change. This platform allows users to explore and visualize geographical information interactively and dynamically. It presents data using maps, charts, and other visualizations, enabling users to understand complex information spatially and temporally. The interactive Atlas includes climate data for relevant variables, key climate indicators, and trends, all derived from climate model simulations., The IPCC-WGI AR6 Interactive Atlas dataset comprises monthly gridded data from global (CMIP5, CMIP6) and regional (CORDEX) model projections for the impact-relevant variables and indices featured in the IPCC Interactive Atlas (https://interactive-atlas.ipcc.ch)., Peer reviewed, 2
DOI: http://hdl.handle.net/10261/332635, https://doi.org/10.20350/digitalCSIC/15484
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/332635
HANDLE: http://hdl.handle.net/10261/332635, https://doi.org/10.20350/digitalCSIC/15484
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/332635
PMID: http://hdl.handle.net/10261/332635, https://doi.org/10.20350/digitalCSIC/15484
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/332635
Ver en: http://hdl.handle.net/10261/332635, https://doi.org/10.20350/digitalCSIC/15484
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/332635
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/383359
Set de datos (Dataset). 2024
BARLEY PANGENES [DATASET]
- AM Casas, B Contreras-Moreira
Pangenes are clusters of gene models/alleles/haplotypes found in barley assemblies in a similar genomic location., [PRIMA GENDIBAR, PCI2019-103526] supported by Horizon 2020
[A08_23R] funded by Aragón goverment
[FAS2022_052, INFRA24018, conexión BCB] funded by CSIC
[PID2022-142116OB-I00] by MICIU/AEI/10.13039/501100011033, Peer reviewed
Proyecto: //
DOI: https://github.com/eead-csic-compbio/barley_pangenes, http://hdl.handle.net/10261/383359, https://doi.org/10.20350/digitalCSIC/17162
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/383359
HANDLE: https://github.com/eead-csic-compbio/barley_pangenes, http://hdl.handle.net/10261/383359, https://doi.org/10.20350/digitalCSIC/17162
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/383359
PMID: https://github.com/eead-csic-compbio/barley_pangenes, http://hdl.handle.net/10261/383359, https://doi.org/10.20350/digitalCSIC/17162
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/383359
Ver en: https://github.com/eead-csic-compbio/barley_pangenes, http://hdl.handle.net/10261/383359, https://doi.org/10.20350/digitalCSIC/17162
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/383359
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/349894
Set de datos (Dataset). 2024
DATASET OF UNRAVELING THE GENETIC LANDSCAPE OF EYE MIGRATION AND VISUAL ADAPTATION DURING FLATFISH METAMORPHOSIS
- Guerrero-Peña, Laura
- Suárez-Bregua, Paula
- Sánchez-Ruiloba, Lucía
- Méndez-Martínez, Luis
- García-Fernández, Pablo
- Tur, R.
- Tena, Juan J.
- Rotllant, Josep
To investigate differences in gene expression during flatfish metamorphosis we selected three key stages in turbot development: pre-metamorphic stage (15 dpf); climax of metamorphosis (30dpf); and post-metamorphic stage (57dpf). These fish were reared under standard production conditions at 18ºC.
The migrant and non-migrant eyes and their respective surrounding tissue were directed for each stage and RNA were extracted. Libraries were sequenced on a BGISEQ-500 platform and single-end reads of 50 base pairs length were generated per sample, Flatfish have evolved their visual system to meet the demands of their environment through a fascinating process of metamorphosis. This morphological transformation involves a significant change in lifestyle from pelagic to benthic, accompanied by changes in body structure to achieve an asymmetrical flat shape. However, the fundamental change lies in the migration of one eye from its original position to the opposite location on the body. Although the role of thyroid hormone in triggering flatfish metamorphosis is well established, the specific gene regulatory network responsible for this extraordinary eye migration is still unknown. Here we show a global view through the creation of a general map of gene expression during the metamorphic process, encompassing both migrant and non-migrant eyes. Our research uncovers significant differences between migrant and non-migrant eyes of turbot in the pre-metamorphic and climax phases, emphasizing genetic disparities crucial for benthic adaptation, MCIN/AEI/10.13039/501100011033 (AGL2017-89648P and PID2021-126511OB-100 to J.R.) and “ERDF A way of making Europe”, by the “European Union”, No
DOI: http://hdl.handle.net/10261/349894, https://doi.org/10.20350/digitalCSIC/16153
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/349894
HANDLE: http://hdl.handle.net/10261/349894, https://doi.org/10.20350/digitalCSIC/16153
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/349894
PMID: http://hdl.handle.net/10261/349894, https://doi.org/10.20350/digitalCSIC/16153
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/349894
Ver en: http://hdl.handle.net/10261/349894, https://doi.org/10.20350/digitalCSIC/16153
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/349894
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/354355
Set de datos (Dataset). 2023
VHSV STIMULATION OF MYTILUS GALLOPROVINCIALIS
- Saco, Amaro
Raw sequence reads data, Illumina sequencing of mussel hemocytes transcriptome after viral VHSV stimulation: three control and three infected individuals 24 hours after the stimulation, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/354355, https://doi.org/10.20350/digitalCSIC/16226
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/354355
HANDLE: http://hdl.handle.net/10261/354355, https://doi.org/10.20350/digitalCSIC/16226
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/354355
PMID: http://hdl.handle.net/10261/354355, https://doi.org/10.20350/digitalCSIC/16226
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/354355
Ver en: http://hdl.handle.net/10261/354355, https://doi.org/10.20350/digitalCSIC/16226
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/354355
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/367432
Set de datos (Dataset). 2025
SEQIA - ANNOTATED DROUGHT-RELATED NEWS ARTICLES
- Lopez Otal, Miguel
- Domínguez-Castro, Fernando
- Latorre Garcés, Borja
- Vela Tambo, Javier
- Gracia del Río, Jorge
Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/367432, https://doi.org/10.20350/digitalCSIC/16540
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/367432
HANDLE: http://hdl.handle.net/10261/367432, https://doi.org/10.20350/digitalCSIC/16540
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/367432
PMID: http://hdl.handle.net/10261/367432, https://doi.org/10.20350/digitalCSIC/16540
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/367432
Ver en: http://hdl.handle.net/10261/367432, https://doi.org/10.20350/digitalCSIC/16540
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/367432
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/383375
Set de datos (Dataset). 2024
FACTORES DE TRANSCRIPCIÓN DE FOOTPRINTDB EN 2024 [DATASET]
- Contreras-Moreira, Bruno
Protein sequences from transcription factors curated at https://footprintdb.eead.csic.es, footprintDB is developed by Alvaro Sebastian Yague and Bruno Contreras Moreira and it is maintained at the Computational & Structural Biology group (Zaragoza, Spain), with funding from ARAID, CSIC and the 2008 Euro Research Program [EUI2008-03612]., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/383375, https://doi.org/10.20350/digitalCSIC/17163
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/383375
HANDLE: http://hdl.handle.net/10261/383375, https://doi.org/10.20350/digitalCSIC/17163
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/383375
PMID: http://hdl.handle.net/10261/383375, https://doi.org/10.20350/digitalCSIC/17163
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/383375
Ver en: http://hdl.handle.net/10261/383375, https://doi.org/10.20350/digitalCSIC/17163
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/383375
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