Resultados totales (Incluyendo duplicados): 35638
Encontrada(s) 3564 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/377677
Dataset. 2025

DATABASE OF LOCAL AND GLOBAL EXTINCT SPECIES, BIOGEOGRAPHICAL VARIABLES, AND BIOLOGICAL TRAITS OF THE MACARONESIAN VASCULAR FLORA

  • Orihuela-Rivero, Raúl
  • Morente-López, Javier
  • Reyes-Betancort, J. Alfredo
  • Schaefer, Hanno
  • Valido, Alfredo
  • Menezes de Sequeira, Miguel
  • Romeiras, Maria M.
  • Góis-Marques, Carlos A.
  • Salas-Pascual, Marcos
  • Vanderpoorten, Alain
  • Fernández-Palacios, José María
  • Patiño, Jairo
This database consists of three main parts: Table S1, which records extinct or extirpated vascular plant species from Macaronesia; Table S2, which summarizes biogeographic and demographic variables characterizing each Macaronesian island where vascular plant extinction events have occurred; and Tables S3 and S4, which detail the entire native vascular flora of the Azores and Canary Islands, including both extinct (well-supported records) and extant species, categorized by nine biological traits. Additionally, the database includes several supplementary sheets containing all cited bibliographic references for each case., The creation of this database was supported by the Spanish Ministry of Science and Innovation (MICINN) projects (ASTERALIEN-PID2019-110538GA-I00 and DecodAdapt-PID2023-147122NB-I00) the Fundación BBVA project (INVASION-PR19_ECO_0046), and the Ministerio para la Transición Ecológica y el Reto Demográfico (JUNIPERADAPT, 2941/2022). ROR was supported by the University Teacher Training (FPU) program (FPU21/02585) funded by the Ministry of Universities and JP by the MICINN through the Ramón y Cajal Program (RYC-2016-20506). JM-L was funded by a Juan de la Cierva-Formación Fellowship (MICIIN; reference FJC2020-046353-I). AV research was supported by the Fundación Cajacanarias/La Caixa project (2022CLISA29)., Extinct_species_biogeographical_variables_&_biological_traits_Macaronesian_flora.xlsx, Peer reviewed

DOI: http://hdl.handle.net/10261/377677
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/377677
HANDLE: http://hdl.handle.net/10261/377677
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/377677
PMID: http://hdl.handle.net/10261/377677
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/377677
Ver en: http://hdl.handle.net/10261/377677
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/377677

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/377753
Dataset. 2025

CHARACTERIZATION OF THE ALTERNATIVELY-SPLICED ATM EXON 7

  • Llinares-Burguet, Inés
  • Velasco, Eladio
[Description of methods used for collection/generation of data] - Sanger sequencing - Fluorescent Fragment Analysis, This dataset contains fragment analysis and sequencing files of a comprehensive study of the alternatively-spliced exon 7 of the breast cancer susceptibility gene ATM. Regulation of alternative splicing is a multifactorial process that includes a wide array of regulatory sequences (SRE) such as splicing enhancers and silencers. We have bioinformatically and functionally mapped two SRE-rich regions within ATM exon 7. Then, we tested 2 control splice-site and 48 regulatory variants in minigene mgATM_4-9 with exons 4 to 9 that we had previously reported (Bueno-Martinez et al, 2022; PMID 35716007). A large fraction of SRE-variants (71%; 34/48) impaired exon 7 recognition, supporting suitability of the combined in silico and minigene approach. Nineteen variants showed strong impacts, producing higher expression levels of △(E7)-transcripts and <30% of the minigene full-length transcript. Finally, eight variants were classified as likely pathogenic according to the ACMG/AMP-based guidelines for the ATM gene., EAV-S lab is supported by grants from the Spanish Ministry of Science and Innovation, Instituto de Salud Carlos III (PI20/00225; PI23/00047) co-funded by FEDER from Regional Development European Funds (European Union)., Folder: 1.Sequences - Sub-folder cDNA. Transcript Sequencing: 94 *.ab1 files of transcripts generated by microdeletions and variants introduced into minigene mgATM_4-9. - Sub-folder: Minigenes. Sequence files of wild type and mutant constructs: 51 *.ab1 files. • Folder: 2.Fragment_Analysis. Fluorescent Fragment Analysis of plicing assays: 159 *.fsa files of fluorescent fragment analysis of RT-PCRs of microdeletions and variants., Peer reviewed

DOI: http://hdl.handle.net/10261/377753
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/377753
HANDLE: http://hdl.handle.net/10261/377753
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/377753
PMID: http://hdl.handle.net/10261/377753
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/377753
Ver en: http://hdl.handle.net/10261/377753
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/377753

citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/1943
Dataset. 2012

PHYTOSTEROL CONTENT IN THE KERNEL, KERNEL OIL CONTENT, PHYTOSTEROL CONTENT IN THE KERNEL OIL, AND CONCENTRATION OF Β-SITOSTEROL AND Δ5-AVENASTEROL IN 160 ACCESSIONS OF THE SPANISH ALMOND GERMPLASM BANK OF CITA DE ARAGÓN

  • Fernández Cuesta, A.
  • Kodad, Ossama
  • Socias i Company, Rafel
  • Velasco, Leonardo
La tabla con el título “Phytosterol content in the kernel, kernel oil content, phytosterol content in the kernel oil, and concentration of β-sitosterol and Δ5-avenasterol in the accessions of the Spanish almond germplasm bank of CITA de Aragón” al que corresponde este registro se encuentra en la actualidad en construcción. Los datos de esta tabla son material complementario del artículo A. Fernández-Cuesta, O. Kodad, R. Socias i Company and L. Velasco. 2012. Phytosterol variability in almond germplasm. J. Amer. Soc. Hort. Sci. 137, in press que próximamente verá la luz., The table titled “Phytosterol content in the kernel, kernel oil content, phytosterol content in the kernel oil, and concentration of β-sitosterol and Δ5-avenasterol in the accessions of the Spanish almond germplasm bank of CITA de Aragón” that corresponds to this record is currently under construction. The data in this table are supplementary material of the article A. Fernández-Cuesta, O. Kodad, R. Socias i Company and L. Velasco. 2012. Phytosterol variability in almond germplasm. J. Amer. Soc. Hort. Sci. 137 that will be released soon.

Proyecto: //
DOI: http://hdl.handle.net/10532/1943
citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/1943
HANDLE: http://hdl.handle.net/10532/1943
citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/1943
PMID: http://hdl.handle.net/10532/1943
citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/1943
Ver en: http://hdl.handle.net/10532/1943
citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/1943

citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/2800
Dataset. 2015

DATASET FOR &QUOT;CORRELATED GENETIC EFFECTS ON REPRODUCTION DEFINE A DOMESTICATION SYNDROME IN A FOREST TREE&QUOT;

  • Santos del Blanco, Luis
  • Alía Miranda, Ricardo
  • Notivol Paíno, Eduardo
  • González Martínez, Santiago C.
  • Sampredro, L.
  • Lario, F.
  • Climent, José
Datos que se publicarán en el artículo

Proyecto: //
DOI: http://hdl.handle.net/10532/2800
citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/2800
HANDLE: http://hdl.handle.net/10532/2800
citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/2800
PMID: http://hdl.handle.net/10532/2800
citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/2800
Ver en: http://hdl.handle.net/10532/2800
citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/2800

citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/2473
Dataset. 2014

SOCIO-CULTURAL AND ECONOMIC VALUATION OF ECOSYSTEM SERVICES PROVIDED BY MEDITERRANEAN MOUNTAIN AGROECOSYSTEM

  • Bernués Jal, Alberto
  • Rodríguez Ortega, Tamara
  • Ripoll Bosch, Raimon
  • Alfnes, Frode
Conjunto de datos citado en el artículo, con el mismo título, publicado en la revista Plos One, 9(7), disponible en: http://hdl.handle.net/10532/2616

Proyecto: //
DOI: http://hdl.handle.net/10532/2473
citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/2473
HANDLE: http://hdl.handle.net/10532/2473
citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/2473
PMID: http://hdl.handle.net/10532/2473
citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/2473
Ver en: http://hdl.handle.net/10532/2473
citaREA. Repositorio Institucional del CITA
oai:citarea.cita-aragon.es:10532/2473

GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/139163
Dataset. 2019

ANALYSIS OF SURVIVAL FOR LUNG CANCER RESECTIONS CASES WITH FUZZY AND SOFT SET THEORY IN SURGICAL DECISION MAKING [DATASET]

  • Rodríguez Alcantud, José Carlos
  • Jiménez López, Marcelo Fernando
  • Santos-Buitrago, Beatriz
  • Santos García, Gustavo
  • Varela, Gonzalo
Dataset, This initial database was developed in a study of 403 patients who underwent major pulmonary resections in the Salamanca University Hospital from 1994 to 2016. We have taken patients with known survival status and a surgical procedure other than pneumonectomy. The variables used in our study are: (1) Age of patient; (2) Body mass index (abbr. BMI, expressed in kg/m^2); (3) Existence of chronic obstructive pulmonary disease (abbr. COPD); (4) Forced vital capacity calculated percentage (abbr. FEV1%); (5) Approach of the surgery (thoracotomy or video-assisted thoracoscopic surgery, VATS); and (6) Presence of complications in the surgery. The variable of mortality allows us to establish the survival of the patient. Age is obtained from the date of birth and the date of surgery. Body mass index is calculated based on the weight and size of the patient., The variables used in our study are: (1) Age of patient; (2) Body mass index (abbr. BMI, expressed in kg/m^2); (3) Existence of chronic obstructive pulmonary disease (abbr. COPD); (4) Forced vital capacity calculated percentage (abbr. FEV1%); (5) Approach of the surgery (thoracotomy or video-assisted thoracoscopic surgery, VATS); (6) Presence of complications in the surgery.

Proyecto: //
DOI: http://hdl.handle.net/10366/139163
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/139163
HANDLE: http://hdl.handle.net/10366/139163
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/139163
PMID: http://hdl.handle.net/10366/139163
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/139163
Ver en: http://hdl.handle.net/10366/139163
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/139163

e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/23105
Dataset. 2016

TRANSIENT STABILITY CONSTRAINED OPTIMAL POWER FLOW GAMS MODEL GENERATOR ON PYTHON [DATASET]

  • Ledesma Larrea, Pablo
All data are own production except for ieee118.raw, Transient Stability Constrained Optimal Power Flow (TSCOPF) is a nonlinear optimization problem used to perform economic dispatches while ensuring transient stability. This paper proposes a multi-contingency TSCOPF model that retains the dynamics of all generators and includes a transient synchronous generator dq-axis model. Program write_tscopf.py automatically reads the system data from standard PSSE raw files, builds the TSCOPF model tscopf.gms on high-level modelling system GAMS and solves it using a non-heuristic Interior Point algorithm. This approach facilitates the application of the model to a variety of systems and scenarios. Data for the New England 39 Bus System and the IEEE 118 Bus system are included.

Proyecto: //
DOI: https://hdl.handle.net/10016/23105, https://doi.org/10.21950/OCSRBX
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/23105
HANDLE: https://hdl.handle.net/10016/23105, https://doi.org/10.21950/OCSRBX
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/23105
PMID: https://hdl.handle.net/10016/23105, https://doi.org/10.21950/OCSRBX
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/23105
Ver en: https://hdl.handle.net/10016/23105, https://doi.org/10.21950/OCSRBX
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/23105

e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/17370
Dataset. 2013

LSI FAR INFRARED PEDESTRIAN DATASET

  • Olmeda Reino, Daniel
  • Premebida, Cristiano
  • Nunes, Urbano
  • Armingol Moreno, José María
  • Escalera Hueso, Arturo de la
The database consists of FIR images collected from a vehicle driven in outdoors urban scenarios. Images were acquired with an Indigo Omega imager, with a resolution of 164x129 pixels, a grey-level scale of 14 bits, and focal length of 318 pixels. The camera was mounted on the exterior of the vehicle, to avoid infrared filtering of the windshield. Recorded images were manually annotated, where each pedestrian is labelled as a bounding box. To prevent bias introduced by border artifacts their height is subsequently upscaled by 5%. The pedestrians appear in an up-right position., The dataset is divided in two: (i) Classification dataset: positives and randomly sampled negatives with a fixed height-width ratio of (1/2) and rescaled to 64x32 pixels, and (ii) Detection Dataset: Original positive and negative images with annotations., The classification Database is divided in a Train and a Test subset. The Train set contains 10208 positives and 43390 negatives, while the Test set contains 5944 positives and 22050 negatives. The annotated bounding boxes are resized to a constant aspect ratio (w/h) = 0.5 by changing their width appropriately. Any bounding box below 10 pixels in height is ignored. The remaining bounding boxes are resized to 64x32 pixels using bilinear interpolation. The negative samples were randomly selected from images not containing pedestrians.

Proyecto: //
DOI: https://hdl.handle.net/10016/17370
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/17370
HANDLE: https://hdl.handle.net/10016/17370
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/17370
PMID: https://hdl.handle.net/10016/17370
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/17370
Ver en: https://hdl.handle.net/10016/17370
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/17370

riUAL. Repositorio Institucional de la Universidad de Almería
oai:repositorio.ual.es:10835/10636
Dataset. 2021

EMOWA EARLY METEOROLOGICAL OBSERVATIONS IN WESTERN AFRICA

  • Sánchez Rodrigo, Fernando
Meteorological data in Western Africa before 1850 are compiled in this dataset. Data include information from some countries (Senegal, Gambia, Sierra Leone, Liberia, Ghana, Nigeria). The dataset consists in brief meteorological series with instrumental data (temperature, pressure, wind direction), as well as qualitative descriptions on meteorological conditions (rainfall, cloudiness, storms, etc) .

Proyecto: //
DOI: http://hdl.handle.net/10835/10636
riUAL. Repositorio Institucional de la Universidad de Almería
oai:repositorio.ual.es:10835/10636
HANDLE: http://hdl.handle.net/10835/10636
riUAL. Repositorio Institucional de la Universidad de Almería
oai:repositorio.ual.es:10835/10636
PMID: http://hdl.handle.net/10835/10636
riUAL. Repositorio Institucional de la Universidad de Almería
oai:repositorio.ual.es:10835/10636
Ver en: http://hdl.handle.net/10835/10636
riUAL. Repositorio Institucional de la Universidad de Almería
oai:repositorio.ual.es:10835/10636

RIA. Repositorio Institucional de Asturias
oai:ria.asturias.es:123456789/14585
Dataset. 2022

DATABASE ON HOLDOVER TIME OF LIGHTNING-IGNITED WILDFIRES

  • Moris, Jose V.
  • Álvarez-Álvarez, Pedro
  • Conedera, Marco
  • Dorph, Annalie
  • Hessilt, Thomas D.
  • Hugh G. P., Hunt
  • Libonati, Renata
  • Menezes, Lucas S.
  • Müller, Mortimer M.
  • Pérez-Invernón, Francisco J.
  • Pezzatti, Gianni B.
  • Pineda, Nicolau
  • Scholten, Rebecca C.
  • Veraverbeke, Sander
  • Wotton, B. Mike
  • Ascoli, Davide
This database contains open, harmonized, and ready-to-use global data on holdover time. Holdover time is defined as the time between lightning-induced fire ignition and fire detection. The first version of the database is composed of three data files (censored data, non-censored data, ancillary data) and three metadata files (description of database variables, list of references, reproducible examples). These data were collected through a literature review of LIW studies and some datasets were assembled by authors of the original studies, covering more than 150,000 LIW from 13 countries in five continents and a time span of a century from 1921 to 2020. Censored data are the core of the database and consist of frequency data reporting the number or relative frequency of LIW per interval of holdover time. Ancillary data provide additional information on the methods and contexts in which the data were generated in the original studies. Potential contributors to the database are encouraged to contact the corresponding author in the readme file.

Proyecto: //
DOI: https://doi.org/10.5281/zenodo.7352172, https://ria.asturias.es/RIA/handle/123456789/14585
RIA. Repositorio Institucional de Asturias
oai:ria.asturias.es:123456789/14585
HANDLE: https://doi.org/10.5281/zenodo.7352172, https://ria.asturias.es/RIA/handle/123456789/14585
RIA. Repositorio Institucional de Asturias
oai:ria.asturias.es:123456789/14585
PMID: https://doi.org/10.5281/zenodo.7352172, https://ria.asturias.es/RIA/handle/123456789/14585
RIA. Repositorio Institucional de Asturias
oai:ria.asturias.es:123456789/14585
Ver en: https://doi.org/10.5281/zenodo.7352172, https://ria.asturias.es/RIA/handle/123456789/14585
RIA. Repositorio Institucional de Asturias
oai:ria.asturias.es:123456789/14585

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