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GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146284
Dataset. 2017

RGF1P (RHO1P GEF) IS REQUIRED FOR DOUBLE-STRAND BREAK REPAIR IN FISSION YEAST [DATASET]

  • Manjón Pérez, Elvira
  • Edreira González, Tomás
  • Muñoz Félix, Sofía
  • Sánchez Martín, Yolanda
[EN]The dataset includes seven Supplementary Figure Legends about the exchange factor Rgf1p is involved in the repair of DNA double-strand breaks induced by Phl treatment. In S. pombe, the DNA damage checkpoint is activated by Rad3p (ATR homolog), which in turn activates its downstream protein kinase, Chk1p (67). The rgf1Δ cells are sensitive to CPT and highly sensitive to Phl, both drugs trigger a strong checkpoint response., CICYT, Spain [BFU2011-24683/BMC]; Junta de Castilla y León [SA073U14]. Funding for open access charge: MINECO.

Proyecto: //
DOI: http://hdl.handle.net/10366/146284
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146284
HANDLE: http://hdl.handle.net/10366/146284
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146284
PMID: http://hdl.handle.net/10366/146284
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146284
Ver en: http://hdl.handle.net/10366/146284
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146284

GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146908
Dataset. 2021

FACTORS RELATED TO MENTAL HEALTH DURING THE COVID-19 LOCKDOWN IN SPAIN [DATASET]

  • Pinedo González, Ruth
  • Vicario Molina, Isabel
  • González Ortega, Eva
  • Palacios Picos, Andrés
The variables included are: (1) Sociodemographics; (2) Daily planning and activity; (3) Healthy habits; (4) Feelings of loneliness; (5) Coping humor; (6) Mental Health., [EN]This database was developed in a study of 3,508 adults from the Spanish general population ranging from 18 to 84 years old. Data were collected through an online survey during the phase of lockdown that took place in the months of March, April and May 2020 due to COVID-19 pandemic.

Proyecto: //
DOI: http://hdl.handle.net/10366/146908
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146908
HANDLE: http://hdl.handle.net/10366/146908
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146908
PMID: http://hdl.handle.net/10366/146908
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146908
Ver en: http://hdl.handle.net/10366/146908
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146908

GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/147031
Dataset. 2021

FAMILY QUALITY OF LIFE IN NEURODEGENERATIVE DISEASES AND ASSOCIATED FACTORS [DATASET]

  • Badia Corbella, Marta
  • Orgaz Baz, María Begoña
  • González Ortega, Eva
  • Vicario Molina, Isabel
  • Gómez Vela, María
  • NEUROQUALYFAM group
[EN]This database was developed in a study of 300 family members of patients with Neurodegenerative Diseases (NDs), living in the cross-border region of Spain-Portugal, mostly in rural areas (70% females, mean age: 62.4). The majority were primary caregivers. Data were collected from October 2019 to July 2020 through a survey administered via telephone. Concretely, the FQOLS–ND examined how the family perceived its quality of life at the global and domain-level, in terms of attainment and satisfaction. It also collected data on diverse sociodemographic, family, and social-health factors. The survey is available at: http://hdl.handle.net/10366/145788., The variables included are: (1) Family Quality of Life (FQOL) at the global and domain-level, in terms of attainment and satisfaction (2) Sociodemographic factors (e.g., gender, age, educational level, employment status, income, civil status, type of relationship with the patient, living condition) (3) Family factors (e.g., communication skills, basic and instrumental activities of daily life) (4) Social Health factors (e.g., use of services, perceived barriers to services)

Proyecto: //
DOI: http://hdl.handle.net/10366/147031
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/147031
HANDLE: http://hdl.handle.net/10366/147031
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/147031
PMID: http://hdl.handle.net/10366/147031
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/147031
Ver en: http://hdl.handle.net/10366/147031
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/147031

GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/148373
Dataset. 2021

NUMERICAL INTEGRATION OF THE ONE-DIMENSIONAL TIME-DEPENDENT SCHRODINGER EQUATION (TDSE) OF THE HELIUM ATOM IN THE INTERACTION WITH A STRONG ELECTROMAGNETIC FIELD [DATASET]

  • Heras, Alba de las
  • Plaja Rustein, Luis
  • Hernández García, Carlos
[EN] We provide results of the numerical integration of the one-dimensional Time-Dependent Schr dinger Equation (TDSE) of the helium atom in the interaction with a strong electromagnetic field. We compare different theoretical models: (i) Two Active Electrons (TAE), which is the exact 1D description of the He atom, (ii) Idle Electron model (IDL), considering twoelectron correlation, and only one electron interacting with the external field, (iii) Single-Active Electron approximation (SAE), and (iv) the exact 1D description of the helium cation (He+). The methodology and data interpretation are publicly available in [1] A. de las Heras, C. Hern ndez-Garc a, and L. Plaja, "Spectral signature of back reaction in correlated electron dynamics in intense electromagnetic fields", Phys. Rev. Res. 2, 033047 (2020). Concretely this dataset contains: - High-order harmonic spectra for different wavelengths (400 nm-1030 nm) and peak intensities ((1.6 – 10)   10!" W/ cm#) of the driving laser field. - Excited atomic transitions after the laser pulse (515 nm wavelength and 1.6   10!" W/cm# peak intensity) in the TAE and IDL descriptions. - Energy levels of the He atom (TAE) and the cation He+. - Wavefunction of the second excited state of He. One-electron energy dependence on the position of a secondary electron., The data is organized in .txt files with the following structure: “Dataset_515nm_E0067_8cy_trap.txt” and “Dataset_515nm_E0067_8cy_sin2.txt” contain the high-order harmonic spectra in all the models calculated for a 8 cycle trapezoidal or sin2 envelope, 515 nm wavelength and peak intensity. This data corresponds to figures 1-3,7 in reference paper. The file includes a first line of headers indicating the data in each column: (c1) Frequency in atomic units for all the models except SAE, (c2) TAE spectra, (c3) Contribution of neutral He to the TAE spectra, (c4) Contribution of cation He+ to the TAE spectra, (c5) He+ exact spectra, (c6) IDL spectra, (c7) Frequency in atomic units for SAE, (c8) SAE spectra. “Dataset_515nm_E012_8cy_trap.txt”, “Dataset_515nm_E017_8cy_trap”, “Dataset_400nm_E009_8cy_trap.txt”, “Dataset_515nm_E009_8cy_trap.txt”, “Dataset_800nm_E009_8cy_trap.txt”,“Dataset_1030nm_E009_8cy_trap.txt” contain the high harmonic spectra in all models except IDL. This data corresponds to Figs. 5-6 in reference paper. The filenames indicate the wavelength in nm and the amplitude in atomic units. The file is structured in columns: (c1) Frequency in atomic units for all the models except SAE, (c2) TAE spectra, (c3) Contribution of neutral He to the TAE spectra, (c4) Contribution of cation He+ to the TAE spectra, (c5) He+ exact spectra, (c6) Frequency in atomic units for SAE, (7) SAE spectra. “Dataset_EnergyLevels_HeTAE.txt” and “DatasetEnergyLevels_HeION.txt” contain the energy levels obtained in the diagonalization of He TAE or He+ Hamiltonian (without laser field) in the 1D description. This data is displayed in Fig. 4(b) in reference paper. “Dataset_ExcitedState_HeTAE.txt” contains the 2D array of the 2nd excited state of He, displayed in the inset of Fig. 4(c) in reference paper. “Dataset_EnergyDependenceOnElectronPosition.txt” contains the one-electron energy as a function of the position of a secondary electron. It is calculated according to eq. (3) in reference paper.] and shown as a blue line in Fig. 4(c) in reference paper.

Proyecto: //
DOI: http://hdl.handle.net/10366/148373
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/148373
HANDLE: http://hdl.handle.net/10366/148373
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/148373
PMID: http://hdl.handle.net/10366/148373
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/148373
Ver en: http://hdl.handle.net/10366/148373
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/148373

UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/15877
Dataset. 2019

CORTISOL AND ADRENAL ANDROGENS AS INDEPENDENT PREDICTORS OF MORTALITY IN SEPTIC PATIENTS

  • Castro Fernández, Rocío de
  • Ruiz Ochoa, David
  • Lavín Gómez, Bernardo Alio
  • Lamsfus Prieto, José Ángel
  • Vázquez Salví, Luis Alberto
  • Montalbán Carrasco, Coral
  • Marcano Rodríguez, Gilberto
  • Sarabia Lavín, Raquel
  • Paz Zulueta, María
  • Blanco Fraile, Cristina
  • Santibáñez Margüello, Miguel

Proyecto: //
DOI: http://hdl.handle.net/10902/15877
UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/15877
HANDLE: http://hdl.handle.net/10902/15877
UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/15877
PMID: http://hdl.handle.net/10902/15877
UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/15877
Ver en: http://hdl.handle.net/10902/15877
UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/15877

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14872
Dataset, Otros (other). 2016

ORIGINAL MULTI-PARAMETRIC MRI IMAGES OF PROSTATE

  • Lemaitre, Guillaume
  • Martí Marly, Robert
  • Meriaudeau, Fabrice
Dades associades a l'article: Lemaitre, G., Marti, R., Freixenet, J., Vilanova, J.C., Walker, P.M. i Meriaudeau, F. (2015). Computer-Aided Detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: A review. Computer in Biology and Medicine, 60, 8-31. Disponible a https://doi.org/10.1016/j.compbiomed.2015.02.009, Instruccions per obrir els fitxers: cal concatenar els fitxers per crear el fitxer original. Dps es pot descomprimir amb tar al linux i amb 7zip al windows. Amb Linux console: cat file1 file2 file3 ... > file.tar.gz, descomprimir: tar -xzf file.tar.gz. I amb windows console: type file1 file2 file3 ... > file.tar.gz, descomprimir amb 7zip, Original multi-parametric MRI dataset for prostate cancer detection make available by I2CVB: http://i2cvb.github.io/

Proyecto: //
DOI: http://hdl.handle.net/10256/14872
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14872
HANDLE: http://hdl.handle.net/10256/14872
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14872
PMID: http://hdl.handle.net/10256/14872
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14872
Ver en: http://hdl.handle.net/10256/14872
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14872

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14878
Dataset, Otros (other). 2016

MULTI-PARMETRIC MRI PROSTATE IMAGES

  • Lemaitre, Guillaume
  • Martí Marly, Robert
  • Meriaudeau, Fabrice
Instruccions per obrir els fitxers: cal concatenar els fitxers per crear el fitxer original. Dps es pot descomprimir amb tar al linux i amb 7zip al windows. Amb Linux console: cat file1 file2 file3 ... > file.tar.gz, descomprimir: tar -xzf file.tar.gz. I amb windows console: type file1 file2 file3 ... > file.tar.gz, descomprimir amb 7zip, Data used for the pipeline developed in https://github.com/I2Cvb/mp-mri-prostate

Proyecto: //
DOI: http://hdl.handle.net/10256/14878
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14878
HANDLE: http://hdl.handle.net/10256/14878
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14878
PMID: http://hdl.handle.net/10256/14878
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14878
Ver en: http://hdl.handle.net/10256/14878
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14878

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14917
Dataset, Otros (other). 2016

DCE-MRI PROSTATE IMAGES

  • Lemaitre, Guillaume
  • Martí Marly, Robert
  • Meriaudeau, Fabrice
Instruccions per obrir els fitxers: cal concatenar els fitxers per crear el fitxer original. Dps es pot descomprimir amb tar al linux i amb 7zip al windows. Amb Linux console: cat file1 file2 file3 ... > file.tar.gz, descomprimir: tar -xzf file.tar.gz. I amb windows console: type file1 file2 file3 ... > file.tar.gz, descomprimir amb 7zip, A 3mm slice fat-suppressed T2W fast spin-echo sequence (TR/TE/ETL: 3400 ms/85 ms/13) is used to acquire images in sagittal and oblique coronal planes, the latter planes being orientated perpendicular or parallel to the prostate PZ – rectal wall axis. Three-dimensional T2W fast spin-echo (TR/TE/ETL: 3600 ms}/143 ms/109, slice thickness: 1.25 mm) images are then acquired in an oblique axial plane.The nominal matrix and FoV of the 3D T2W fast spin-echo images are 320x256 and 280x240 mm2, respectively, thereby affording sub-millimetric pixel resolution within the imaging plane. DCE-MRI is performed using a fat suppressed 3D T$_1$ VIBE sequence (TR/TE/Flip angle: 3.25 ms/1.12 ms/10 degrees; Matrix: 256x192; FoV: 280x210 (with 75% rectangular FoV); slab of 16 partitions of 3.5 mm thickness; temporal resolution: 6 s/slab over approximately 5 min). A power injector (Medrad, Indianola, USA) is used to provide a bolus injection of Gd-DTPA (Dotarem, Guerbet, Roissy, France) at a dose of 0.2 ml Gd-DTPA/kg of body weight

Proyecto: //
DOI: http://hdl.handle.net/10256/14917
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14917
HANDLE: http://hdl.handle.net/10256/14917
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14917
PMID: http://hdl.handle.net/10256/14917
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14917
Ver en: http://hdl.handle.net/10256/14917
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14917

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14918
Dataset, Otros (other). 2016

IMBALANCED DATASET FOR BENCHMARKING

  • Lemaitre, Guillaume
  • Nogueira, Fernando
  • Aridas, Christos K.
  • Oliveira, Dayvid V. R.
Instruccions per obrir els fitxers: cal concatenar els fitxers per crear el fitxer original. Dps es pot descomprimir amb tar al linux i amb 7zip al windows. Amb Linux console: cat file1 file2 file3 ... > file.tar.gz, descomprimir: tar -xzf file.tar.gz. I amb windows console: type file1 file2 file3 ... > file.tar.gz, descomprimir amb 7zip, The different algorithms of the "imbalanced-learn" toolbox are evaluated on a set of common dataset, which are more or less balanced. These benchmark have been proposed in Ding, Zejin, "Diversified Ensemble Classifiers for H ighly Imbalanced Data Learning and their Application in Bioinformatics." Dissertation, Georgia State University, (2011)

Proyecto: //
DOI: http://hdl.handle.net/10256/14918
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14918
HANDLE: http://hdl.handle.net/10256/14918
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14918
PMID: http://hdl.handle.net/10256/14918
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14918
Ver en: http://hdl.handle.net/10256/14918
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14918

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14948
Dataset, Otros (other). 2017

GLOBAL HOTSPOTS AND CORRELATES OF ALIEN SPECIES RICHNESS ACROSS TAXONOMIC GROUPS [DADES DE RECERCA]

  • Dawson, Wayne
  • Moser, Dietmar
  • Kleunen, Mark van
  • Kreft, Holger
  • Pergl, Jan
  • Pyšek, Petr
  • Weigelt, Patrick
  • Winter, Marten
  • Lenzner, Bernd
  • Blackburn, Tim M.
  • Dyer, Ellie E.
  • Cassey, Phillip
  • Scrivens, Sally L.
  • Economo, Evan P.
  • Guénard, Benoit
  • Capinha, César
  • Seebens, Hanno
  • García-Díaz, Pablo
  • Nentwig, Wolfgang
  • García-Berthou, Emili
  • Casal, Christine
  • Mandrak, Nicholas E.
  • Fuller, Pam
  • Meyer, Carsten
  • Essl, Franz
Dades associades a l'article: Dawson, Wayne ; Moser, Dietmar ; Kleunen, Mark van ; Kreft, Holger ; Pergl, Jan ; Pyšek, Petr ; Weigelt, Patrick ; Winter, Marten ; Lenzner, Bernd ; Blackburn, Tim M. ; Dyer, Ellie E. ; Cassey, Phillip ; Scrivens, Sally L. ; Economo, Evan P. ; Guénard, Benoit ; Capinha, César ; Seebens, Hanno ; García-Díaz, Pablo ; Nentwig, Wolfgang ; García-Berthou, Emili ; Casal, Christine ; Mandrak, Nicholas E. ; Fuller, Pam ; Meyer, Carsten ; Essl, Franz. (2017). Global hotspots and correlates of alien species richness across taxonomic groups. Nature Ecology and Evolution, vol. 1, p. 0186. Disponible a https://doi.org/10.1038/s41559-017-0186, Data-set and data sources used in analyses, including alien species richness for 8 taxonomic groups and socio-economic, climatic and geographic variables of 609 geographic regions, This research benefited from support from the European Commission (COST Action TD1209). The Deutsche Forschungsgemeinschaft supported H.S. (DFG, grant SE 1891/2-1), M.v.K. (KL 1866/9-1) and M.W. (FZT 118), the Austrian Science Foundation supported F.E., B.L. and D.M. (FWF, grant I2086-B16). P.P. and J.P. were supported by the Academy of Sciences of the Czech Republic (no. RVO 67985939), Praemium Academiae award to P.P. and Czech Science Foundation (project no. 14-36079G). C. Capinha was supported by a postdoctoral grant from the Portuguese Foundation for Science and Technology (FCT/MCTES) and POPH/FSE (EC) grant SFRH/BPD/84422/2012. E.G.-B. was supported by the Spanish Ministry of Economy and Competitiveness (projects CGL2013-43822-R and CGL2015-69311-REDT)

DOI: http://hdl.handle.net/10256/14948
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14948
HANDLE: http://hdl.handle.net/10256/14948
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14948
PMID: http://hdl.handle.net/10256/14948
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14948
Ver en: http://hdl.handle.net/10256/14948
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/14948

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