Resultados totales (Incluyendo duplicados): 45402
Encontrada(s) 4541 página(s)
Encontrada(s) 4541 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/304640
Dataset. 2023
DATA FROM: THE DETERRENT ABILITY OF XENORHABDUS NEMATOPHILA AND PHOTORHABDUS LAUMONDII COMPOUNDS AS A POTENTIAL NOVEL TOOL FOR LOBESIA BOTRANA (LEPIDOPTERA: TORTRICIDAE) MANAGEMENT
- Vicente-Díez, Ignacio
- Pou, Alicia
- Campos-Herrera, Raquel
Statistical data described in the article and the solfware SPSS and the charts with Prism Graphpad 8.0 (Prism). Repetition of all the experiments (two times eachs), check of the controls, assurance of good and reproducible conditions., Experiment performed in the lab, following details described in the publication: https://doi.org/10.1016/j.jip.2023.107911; http://hdl.handle.net/10261/304637, Ministry of Science and Innovation, grant PID2019-104112RB I00 (MCIN/AEI/10.13039/50110001103). The predoctoral contract FPI-UR 2021 (University of La Rioja) support IVD, Peer reviewed
DOI: http://hdl.handle.net/10261/304640, https://doi.org/10.20350/digitalCSIC/15188
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/304640
HANDLE: http://hdl.handle.net/10261/304640, https://doi.org/10.20350/digitalCSIC/15188
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/304640
PMID: http://hdl.handle.net/10261/304640, https://doi.org/10.20350/digitalCSIC/15188
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/304640
Ver en: http://hdl.handle.net/10261/304640, https://doi.org/10.20350/digitalCSIC/15188
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/304640
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/304960
Dataset. 2023
THE PROVENANCE OF THE STONES IN THE MENGA DOLMEN REVEALS ONE OF THE GREATEST ENGINEERING FEATS OF THE NEOLITHIC [DATASET]
- Lozano Rodríguez, José Antonio
- García Sanjuán, L.
- Álvarez-Valero, A.M.
- Jiménez Espejo, Francisco J
- Arrieta López de Uralde, Jesús M.
- Fraile-Nuez, Eugenio
- Montero Artús, R.
- Cultrone, G.
- Muñoz-Carballeda, F.A.
- Martínez-Sevilla, F.
2 tablas de Excel, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/304960, https://doi.org/10.20350/digitalCSIC/15713
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/304960
HANDLE: http://hdl.handle.net/10261/304960, https://doi.org/10.20350/digitalCSIC/15713
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/304960
PMID: http://hdl.handle.net/10261/304960, https://doi.org/10.20350/digitalCSIC/15713
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/304960
Ver en: http://hdl.handle.net/10261/304960, https://doi.org/10.20350/digitalCSIC/15713
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/304960
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307457
Dataset. 2021
DATASET RELATED TO THE PUBLICATION "THERMAL PROPERTIES OF NANOCRYSTALLINE SILICON NANOBEAMS"
- Maire, Jeremie
- Chávez-Angel, Emigdio
- Arregui, Guillermo
- Colombano, Martin F.
- Capuj, Néstor E.
- Griol, Amadeu
- Martínez, Alejandro
- Navarro-Urrios, D.
- Ahopelto, Jouni
- Sotomayor Torres, C. M.
Dataset contains the raw data from which the graphs in paper "Thermal properties of nanocrystalline silicon nanobeams"., Grants: European Commission: PHENOMEN - All-Phononic circuits Enabled by Opto-mechanics (713450) NANOPOLY - Artificial permittivity and permeability engineering for future generation sub wavelength analogue integrated circuits and systems (829061), Peer reviewed
Proyecto: EC, EC/H2020, H2020/713450, 829061
DOI: http://hdl.handle.net/10261/307457
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307457
HANDLE: http://hdl.handle.net/10261/307457
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307457
PMID: http://hdl.handle.net/10261/307457
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307457
Ver en: http://hdl.handle.net/10261/307457
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307457
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305083
Dataset. 2022
DATA AND CODES FOR: A LINK MODEL APPROACH TO IDENTIFY CONGESTION HOTSPOTS
- Bassolas, Aleix
- Gómez, Sergio
- Arenas, Alex
[Methods] Synthetic and real network data used in the paper together with the code to perform the simulations.
[Usage notes] Networks are provided in .csv format., Congestion emerges when high demand peaks put transportation systems under stress. Understanding the interplay between the spatial organization of demand, the route choices of citizens, and the underlying infrastructures is thus crucial to locate congestion hotspots and mitigate the delay. Here we develop a model where links are responsible for the processing of vehicles, which can be solved analytically before and after the onset of congestion, and provide insights into the global and local congestion. We apply our method to synthetic and real transportation networks, observing a strong agreement between the analytical solutions and the Monte Carlo simulations, and a reasonable agreement with the travel times observed in 12 cities under congested phase. Our framework can incorporate any type of routing extracted from real trajectory data to provide a more detailed description of congestion phenomena and could be used to dynamically adapt the capacity of road segments according to the flow of vehicles, or reduce congestion through hotspot pricing., ICREA Academia, James S. McDonnell Foundation, Spanish Ministry of Universities, European Union–Next Generation EU Recovery, Transformation and Resilience Plan, Universitat de les Illes Balears., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/305083
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305083
HANDLE: http://hdl.handle.net/10261/305083
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305083
PMID: http://hdl.handle.net/10261/305083
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305083
Ver en: http://hdl.handle.net/10261/305083
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305083
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305087
Dataset. 2022
A LINK MODEL APPROACH TO IDENTIFY CONGESTION HOTSPOTS [DATASET]
- Bassolas, Aleix
Congestion emerges when high demand peaks put transportation systems under stress. Understanding the interplay between the spatial organization of demand, the route choices of citizens, and the underlying infrastructures is thus crucial to locate congestion hotspots and mitigate the delay. Here we develop a model where links are responsible for the processing of vehicles, that can be solved analytically before and after the onset of congestion, and providing insights into the global and local congestion. We apply our method to synthetic and real transportation networks, observing a strong agreement between the analytical solutions and the Monte Carlo simulations, and a reasonable agreement with the travel times observed in 12~cities under congested phase. Our framework can incorporate any type of routing extracted from real trajectory data to provide a more detailed description of congestion phenomena, and could be used to dynamically adapt the capacity of road segments according to the flow of vehicles, or reduce congestion through hotspot pricing., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/305087
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305087
HANDLE: http://hdl.handle.net/10261/305087
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305087
PMID: http://hdl.handle.net/10261/305087
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305087
Ver en: http://hdl.handle.net/10261/305087
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305087
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311545
Dataset. 2023
AGRICULTURAL USE OF COMPOST UNDER DIFFERENT IRRIGATION STRATEGIES IN A HEDGEROW OLIVE GROVE UNDER MEDITERRANEAN CONDITIONS (DATASET)
- Lozano de Sosa, Laura
- Martín Palomo, Mª José
- Castro-Valdecantos, Pedro
- Madejón, Engracia
Conjunto de datos obtenidos en el marco del proyecto "Alternativas de manejo para asegurar la sostenibilidad de los olivares de mesa en Andalucía" presentados en el artículo cientifico "Agricultural use of compost under different irrigation strategies in a hedgerow olive grove under Mediterranean conditions. A comparison with traditional systems", Peer reviewed
Proyecto: Junta de Andalucía/Plan Andaluz de Investigación, Desarrollo e Innovación (PAIDI 2020)/P20_00492
DOI: http://hdl.handle.net/10261/311545, https://doi.org/10.20350/digitalCSIC/15331
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311545
HANDLE: http://hdl.handle.net/10261/311545, https://doi.org/10.20350/digitalCSIC/15331
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311545
PMID: http://hdl.handle.net/10261/311545, https://doi.org/10.20350/digitalCSIC/15331
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311545
Ver en: http://hdl.handle.net/10261/311545, https://doi.org/10.20350/digitalCSIC/15331
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311545
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305242
Dataset. 2022
GLOBALSHARKMOVEMENT / GLOBALCOLLISIONRISK
- Womersley, Freya C.
- Humphries, Nicolas E.
- Queiroz, Nuno
- Vedor, Marisa
- Costa, Ivo da
- Furtado, Miguel
- Tyminski, John P.
- Abrantes, Katya
- Araujo, Gonzalo
- Bach, Steffen S.
- Barnett, Adam
- Berumen, Michael L.
- Bessudo Lion, Sandra
- Braun, Camrin D.
- Clingham, Elizabeth
- Cochran, Jesse E. M.
- Parra, Rafael de la
- Diamant, Stella
- Dove, Alistair D. M.
- Dudgeon, Christine L.
- Erdmann, Mark V.
- Espinoza, Eduardo
- Fitzpatrick, Richard
- González Cano , Jaime
- Green, Jonathan R.
- Guzman, Hector M.
- Hardenstine, Royale
- Hasan, Abdi
- Hazin, Fábio H. V.
- Hearn, Alex R.
- Hueter, Robert E.
- Jaidah, Mohammed Y.
- Labaja, Jessica
- Ladino, Felipe
- Macena, Bruno C. L.
- Morris, John J.
- Norman, Bradley M.
- Peñaherrera-Palma, Cesar
- Pierce, Simon J.
- Quintero, Lina M.
- Ramírez-Macías, Dení
- Reynolds, Samantha D.
- Richardson, Anthony J.
- Robinson, David P.
- Rohner, Christoph A.
- Rowat, David R. L.
- Sheaves, Marcus
- Shivji, Mahmood S.
- Sianipar, Abraham B.
- Skomal, Gregory B.
- Soler, German
- Syakurachman, Ismail
- Thorrold, Simon R.
- Webb, D. Harry
- Wetherbee, Bradley M.
- White, Timothy D.
- Clavelle, Tyler
- Kroodsma, David A.
- Thums, Michele
- Ferreira, Luciana C.
- Meekan, Mark G.
- Arrowsmith, Lucy M.
- Lester, Emily K.
- Meyers, Megan M.
- Peel, Lauren R.
- Sequeira, Ana M. M.
- Eguíluz, Víctor M.
- Duarte, Carlos M.
- Sims, David W.
Repository containing derived data for the manuscript 'Global collision-risk hotspots of marine traffic and the world's largest fish, the whale shark'., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/305242
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305242
HANDLE: http://hdl.handle.net/10261/305242
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305242
PMID: http://hdl.handle.net/10261/305242
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305242
Ver en: http://hdl.handle.net/10261/305242
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305242
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305710
Dataset. 2022
MICROBIOTA MODULATION IN BLUEBERRY RHIZOSPHERE BY BIOCONTROL BACTERIA
- Camacho-Sanchez, Miguel
- Rodriguez-Mena, Sara
- Camacho, María
- Santos, Berta de los
Metabarcoding assembled DNA sequences corresponding to a region from the 16S and from the ITS2 of bacteria and fungi, respectively, from blueberry crop soils. Filtered phyloseq R objects with DNA sequences, sample/abundance table, sample metadata and taxonomy., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/305710
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305710
HANDLE: http://hdl.handle.net/10261/305710
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305710
PMID: http://hdl.handle.net/10261/305710
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305710
Ver en: http://hdl.handle.net/10261/305710
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305710
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305838
Dataset. 2022
GLUCOSE TOLERANCE PREDICTS SURVIVAL IN OLD ZEBRA FINCHES [DATASET]
- Montoya, Bibiana
- Briga, Michael
- Jimeno, Blanca
- Verhulst, Simon
One hundred twenty-two adult zebra finches, 60 males and 62 females with an average age of 3.52 ± 0.18 years (range 0.97 - 8.64 years) were randomly selected from the birds in an ongoing long-term experiment (see below) at the University of Groningen, the Netherlands (53° 13' 0" N / 6° 33' 0" E). Birds were bred indoors (see below), and after 120 days of age and through this study, were housed in single sex outdoor aviaries (L x H x W: 310 x 210 x 150 cm) with ad libitum access to tropical seed mixture, cuttlebone, water, and sand (but see experimental treatments). In addition, birds were supplemented three times per week, with 0.42 g (per bird) of a commercial nutritional supplement (Bogena, Hedel, the Netherlands)., This data set complies information on meassurements of glucose tolerance obtained from a sample of 122 zebra finches. We tested for a link between the capacity to regulate glucose levels and survival. We also investigated for the effects of ambient factors, age, sex, and manipulated developmental and adult conditions (i.e. natal brood size and foraging cost, in a full factorial design) on glucose tolerance. Glucose tolerance was quantified using the incremental ‘area under the curve’ (AUC), with lower values indicating higher tolerance: a lower depart from baseline levels and faster return to them, after exogenous administration of glucose. Glucose tolerance predicted survival probability in old birds, above the median age, with individuals with higher glucose tolerance showing better survival than individuals with low or intermediate glucose tolerance. In young birds there was no association between glucose tolerance and survival. Experimentally induced adverse developmental conditions did not affect glucose tolerance, but low ambient temperature at sampling and hard foraging conditions during adulthood induced a fast return to baseline levels (i.e. high glucose tolerance). These findings can be interpreted as an efficient return to baseline glucose levels when energy requirements are high, with glucose presumably being used for energy metabolism or storage. Glucose tolerance was independent of sex. Our main finding that old birds with higher glucose tolerance had better survival supports the hypothesis that the capacity to efficiently cope with a physiological challenge predicts lifespan, at least in old birds., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/305838
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305838
HANDLE: http://hdl.handle.net/10261/305838
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305838
PMID: http://hdl.handle.net/10261/305838
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305838
Ver en: http://hdl.handle.net/10261/305838
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305838
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307317
Dataset. 2023
BRYOZOA IDENTIFICATION TOOL (BIT) FOR QUATERNARY AND RECENT MEDITERRANEAN AND NORTH ATLANTIC BRYOZOANS
SYNTHESYS VIRTUAL ACCESS CALL 2021 - BRYOZOAN PROJECT
- Sendino Lara, Consuelo
- López-Quiroga, David
- Sánchez Almazán, Javier
- González Cascón, Victoria
This site displays the diversity of Quaternary and Recent bryozoans kept in the MNCN (Museo Nacional de Ciencias Naturales, National Museum of Natural Sciences of Madrid). It has been created thanks to Synthesys Virtual Access (VA) Call 2, 2021, for the international project Bryozoa Identification Tool (BIT) for Quaternary and Recent Mediterranean and North Atlantic Bryozoans. There are SEM images of the most represenative individuals and the dataset for Unix/Linus and Windows., Bryozoans are colonial animals that are widely distributed in marine benthic environments and play an important role in temperate and cold-water oceanic shelves as habitat providers. They are one of the most diverse components of intertidal and shelf environment communities. Morphologically and mineralogically diverse, bryozoans are important carbonate producers with an extensive fossil record, which makes them good indicators in environmental and paleoenvironmental research. They are helpful to address evolutionary questions, especially those dealing with the effects of climatic change on assemblages of benthic animals. Existing data, though insufficient, suggests that bryozoans can become a valuable tool in investigating present-day climate change. This project gives the opportunity to reinforce the (1) bryozoan proxy tool in climate research and it will be additionally (2) a basic resource for bryozoan identification through museum collections.
This Project aims to record, on a worldwide map with SEM photographs, all the Quaternary and Mediterranean and North Atlantic Recent bryozoan taxa kept in museums which are participants of the Synthesys Scheme in order to help with bryozoan taxonomic identification. For this, all the specimens are georeferenced and a type specimen or the best specimen of each species has been scanned under scanning electron microscope (SEM). This information is displayed through the own museums’ websites with links to their associated partners on this project (see below participants) and the GBIF Website as well. This project contributes with more than 50 bryozoan taxa not recorded on any Website. It is 3.4% of the current identified taxa from Quaternary and Mediterranean and North Atlantic recent bryozoan taxa.
Although there is already a website (https://www.bryozoa.net/) on recent bryozoan taxa, it includes SEM images of only few taxa and none are georeferenced. This is the first time that Quaternary and Recent bryozoan taxa are georeferenced on a world map and images of the different taxa are displayed. For this, some of the best world museum collections have been used., Institutions involved: NHM, Natural History Museum, London; MNHN, Museum National d'Histoire Naturelle, Paris; MNCN, Museo Nacional de Ciencias Naturales, Madrid; NHMW, Naturhistorisches Museum, Wien; Naturkunde: Museum fur Naturkunde, Berlin; NNHC-HUJI, The National Natural History Collections, The Hebrew University of Jerusalem.
It will be an important tool for species identification as the NHM-London keeps at least 215 type specimens (recent), the MNCN 219 type specimens, the MNHN 210 types, NHMW 3 recent syntype series and 3 fossil syntype lots types and Naturkunde fewer than 125 types. Most of them are not available on any other website or repository (only Naturkunde has some of them on GBIF Website, but without SEM images associated). All of the extant specimens are from Mediterranean and North Atlantic and the fossils are worldwide.
The MNCN keeps at least 5157 Quaternary and Recent bryozoan colonies to date. There are at least 395 species. Of these, 81 are holotypes and 211 paratypes belonging to 59 species. There are not less than 24% of the colonies published (1235) in 28 publications., Funded by Synthesys Virtual Access Call 2021, for the international project Bryozoa Identification Tool (BIT) for Quaternary and Recent Mediterranean and North Atlantic Bryozoans.https://creativecommons.org/licenses/by-nc-nd/4.0/, Peer reviewed
Proyecto: EC/H2020/823827
DOI: http://hdl.handle.net/10261/307317, https://doi.org/10.20350/digitalCSIC/15294
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307317
HANDLE: http://hdl.handle.net/10261/307317, https://doi.org/10.20350/digitalCSIC/15294
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307317
PMID: http://hdl.handle.net/10261/307317, https://doi.org/10.20350/digitalCSIC/15294
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307317
Ver en: http://hdl.handle.net/10261/307317, https://doi.org/10.20350/digitalCSIC/15294
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307317
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