Resultados totales (Incluyendo duplicados): 4391
Encontrada(s) 440 página(s)
Encontrada(s) 440 página(s)
Repositori Obert UdL
oai:repositori.udl.cat:10459.1/470433
Set de datos (Dataset). 2023
REPLICATION DATA FOR: KINETICS OF FUMONISINS B1 AND B2, DEOXYNIVALENOL, AND DEOXYNIVALENOL-3-Β-D-GLUCOSIDE DURING BAKING OF WHEAT–MAIZE BREAD
- Marín Sillué, Sònia
- Vicens Sans, Alexandre
- Sanchís Almenar, Vicente
- Ramos Girona, Antonio J.
- Molino Gahete, Francisco
This dataset contains the experimental data regarding the fate and stability of key Fusarium mycotoxins—specifically deoxynivalenol (DON), deoxynivalenol-3-b-D-glucoside (DON-3-Glu), fumonisin B1, and fumonisin B2—during the baking process of mixed wheat-maize bread (60/40 ratio). The core data tracks mycotoxin concentrations across four different baking temperatures (160 °C, 180 °C, 200 °C, and 220 °C) sampled over seven distinct time intervals in triplicate (resulting in a total of 84 experimental loaves).
Proyecto: //
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431506
Set de datos (Dataset). 2023
BUOY BAHÍA DE PALMA PHYSICOCHEMICAL PARAMETERS OF SEA WATER DATA
- Tintoré, Joaquín
- 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/s6jb-ck61, Periodic sampling of physicochemical parameters of seawater sampled using multi-parametric probes. These measurements have been taken from the platform "Boya Bahía de Palma" at a depth of approximately 1m. The sampling period is 1 data per hour. The equipment used to take these measurements are a SeaBird SBE37 for the conductivity, temperature and salinity and a YSI 6600 probe for the flurorescence, total dissolved solids, pH, ORP and turbidity., Govern de les Illes Balears, Ministerio de Ciencia, Innovación y Universidades., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/431506
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431506
HANDLE: http://hdl.handle.net/10261/431506
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431506
PMID: http://hdl.handle.net/10261/431506
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431506
Ver en: http://hdl.handle.net/10261/431506
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431506
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431835
Set de datos (Dataset). 2023
SOCIB GLIDER - CANALES ENDURANCE LINE (VERSION 1.0.5)
- Miralles, Albert
- Rubio, Manuel
- Rivera, Patricia
- Zarokanellos, Nikolaos
- Torner, Marc
- Charcos-Llorens, Miguel
- Fernández, Juan Gabriel
- Balaguer, Pau
- Wirth, Niko
- Casas, Benjamín
- Baeza, Josep
- Calafat, Noemí
- Juzà, Melanie
- Notario, Xisco
- Heslop, Emma
- Ruiz, Simón
- 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/jd07-sv9, SOCIB Glider Missions - Canales Endurance Line - was initiated in 2011, with in kind collaboration of CSIC (IMEDEA), covering both the Mallorca and Ibiza channel in a semi-continuous operational mode and sampling physical and biogeochemical observations. The Ibiza channel is a well-established biodiversity hotspot and accordingly more intensive monitoring of the Ibiza channel is carried out to capture the mesoscale and submesoscale structures and their relation to the weekly to seasonal and annual/inter-annual variability. On the canales endurance line, ocean gliders making repeated dives from the surface to 1000 m interior of the ocean, repeating the cycle every ~5 hours, and traveling ~5 km in the horizontal during each dive. The canales endurance line is covering both the Mallorca and Ibiza channel in a semi-continuous operational mode. The glider missions typically last about 60 to 90 days, providing 6-10 sections of the Ibiza channel and 2 sections of the Mallorca channel. Since 2011 the Canales Endurance line has completed 108 glider missions, covered 53000 km over the ground, and has more than 97000 physical and biogeochemical profiles., Ministerio de ciencia, innovación y universidades (http://www.ciencia.gob.es/), Govern de les Illes Balears (http://www.caib.es/)., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/431835
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431835
HANDLE: http://hdl.handle.net/10261/431835
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431835
PMID: http://hdl.handle.net/10261/431835
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431835
Ver en: http://hdl.handle.net/10261/431835
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/431835
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/432420
Set de datos (Dataset). 2023
POLYGENIC SCORES (PGS) PAIRWISE CORRELATIONS
- López-López, Daniel
Pearson correlation coefficients and p-values for the PRS distributions for the Spanish population. P-values were adjusted for multiple testing using the Benjamini-Hochberg false discovery rate method., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/432420
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/432420
HANDLE: http://hdl.handle.net/10261/432420
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/432420
PMID: http://hdl.handle.net/10261/432420
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/432420
Ver en: http://hdl.handle.net/10261/432420
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/432420
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435424
Set de datos (Dataset). 2023
ASYMMETRIC BENEFITS OF MIXED-SPECIES FORAGING PROMOTES THE SUCCESS OF MARINE INVASIVE FISH HERBIVORES (VERSION R VERSION 4.2.1 (2022-06-23 UCRT)) [DATASET]
- Minguito-Frutos, M.
All versions are available at DOI 10.5281/zenodo.7542872, Data1.csv contains the data to analyze the abundance of fish herbivore individuals as a function of the species and the type of shoal. Data2.xlsx contains the data to analyze the foraging activity of the herbivorous fish found in our stuty. We analyzed the relationship between bite rates per fish min-1 and the species, shoal type and shoal size. Minguito-Frutos_Bunuel_etal_2023.R contains the R reproducible code to run all the analyses carried out in this study. Species_coocurrence_based_associations.R contains the R reproducible code to run the analyses to explore the strength of mixed-species associations between herbivorous fish., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/435424
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435424
HANDLE: http://hdl.handle.net/10261/435424
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435424
PMID: http://hdl.handle.net/10261/435424
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435424
Ver en: http://hdl.handle.net/10261/435424
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435424
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435430
Set de datos (Dataset). 2023
ASYMMETRIC BENEFITS OF MIXED-SPECIES FORAGING PROMOTES THE SUCCESS OF MARINE INVASIVE FISH HERBIVORES (VERSION R VERSION 4.2.1 (2022-06-23 UCRT)) [DATASET]
- Minguito-Frutos, M.
All versions are available at DOI 10.5281/zenodo.7542872, Data1_Proceed.csv contains the data to analyze the abundance of fish herbivore individuals as a function of the species and the type of shoal. Data2_Proceed.xlsx contains the data to analyze the foraging activity of the herbivorous fish found in our stuty. We analyzed the relationship between bite rates per fish min-1 and the species, shoal type and shoal size. Minguito-Frutos_Bunuel_etal_2023_ProceedingsB.R contains the R reproducible code to run all the analyses carried out in this study. Species_coocurrence_based_associations.R contains the R reproducible code to run the analyses to explore the strength of mixed-species associations between herbivorous fish., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/435430
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435430
HANDLE: http://hdl.handle.net/10261/435430
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435430
PMID: http://hdl.handle.net/10261/435430
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435430
Ver en: http://hdl.handle.net/10261/435430
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435430
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435491
Set de datos (Dataset). 2023
ASYMMETRIC BENEFITS OF MIXED-SPECIES FORAGING PROMOTES THE SUCCESS OF MARINE INVASIVE FISH HERBIVORES (VERSION R VERSION 4.2.1 (2022-06-23 UCRT)) [DATASET]
- Minguito-Frutos, M.
All versions are available at DOI 10.5281/zenodo.7542872, Data1_Proceed.csv contains the data to analyze the abundance of fish herbivore individuals as a function of the species and the type of shoal. Data2_Proceed.xlsx contains the data to analyze the foraging activity of the herbivorous fish found in our stuty. We analyzed the relationship between bite rates per fish min-1 and the species, shoal type and shoal size. Minguito-Frutos_Bunuel_etal_2023_ProceedingsB.R contains the R reproducible code to run all the analyses carried out in this study., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/435491
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435491
HANDLE: http://hdl.handle.net/10261/435491
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435491
PMID: http://hdl.handle.net/10261/435491
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435491
Ver en: http://hdl.handle.net/10261/435491
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/435491
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/437520
Set de datos (Dataset). 2023
DATA OF THE CONTRIBUTION OF DENITRIFICATION AND ANAMMOX TO NITROGEN LOSS
- He, Gang
- Deng, Danli
- Delgado-Baquerizo, Manuel
- Liu, Wenzhi
- Zhang, Quanfa
This dataset is about the relative contribution of denitrification and anammox to nitrogen loss, and contains two sheets: "data" and "annotation", No
Proyecto: //
DOI: http://hdl.handle.net/10261/437520
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/437520
HANDLE: http://hdl.handle.net/10261/437520
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/437520
PMID: http://hdl.handle.net/10261/437520
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/437520
Ver en: http://hdl.handle.net/10261/437520
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/437520
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/440406
Set de datos (Dataset). 2023
MIRNA SEQUENCING FROM EUROPEAN SEA BASS TESTES AND OVARIES EXPOSED TO NORMAL AND HIGH TEMPERATURES [DATASET]
- CSIC - Instituto de Ciencias del Mar (ICM)
miRNA sequences obtained from adult European sea bass ovaries and testes after exposure to normal and high temperatures, With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation CEX2019-000928-S, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/440406, https://www.doi.org/https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1008584/
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/440406
HANDLE: http://hdl.handle.net/10261/440406, https://www.doi.org/https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1008584/
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/440406
PMID: http://hdl.handle.net/10261/440406, https://www.doi.org/https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1008584/
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/440406
Ver en: http://hdl.handle.net/10261/440406, https://www.doi.org/https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1008584/
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/440406
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/440442
Set de datos (Dataset). 2023
SOLA (NW MEDITERRANEAN) METAGENOMICS TIME SERIES PRJEB66489 AND SOLA MARINE METAGENOME PRJEB26919 [DATASET]
- CSIC - Instituto de Ciencias del Mar (ICM)
The raw sequences were deposited in the NCBI Sequence Read Archive under the accession numbers PRJEB66489 and PRJEB26919, With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation CEX2019-000928-S, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/440442, https://www.doi.org/http://hdl.handle.net/10261/440442
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/440442
HANDLE: http://hdl.handle.net/10261/440442, https://www.doi.org/http://hdl.handle.net/10261/440442
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/440442
PMID: http://hdl.handle.net/10261/440442, https://www.doi.org/http://hdl.handle.net/10261/440442
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/440442
Ver en: http://hdl.handle.net/10261/440442, https://www.doi.org/http://hdl.handle.net/10261/440442
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/440442
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