BUSCADOR RECOLECTA

Data collected for the controlled experiment performed to analyze whether gamification can help in software testing education., MCIN/AEI/10.13039/501100011033 (Spain)

This paper contains data related to the research article entitled "Genomic cartography and proposal of nomenclature for the repeated, interspersed elements of the Leishmania major SIDER2 family and identification of SIDER2-containing transcripts" [1]. SIDER2 elements are repeated sequences, derived from, nowadays, extinct retrotransposons, that populate the genomes of protist of the genera Leishmania. This dataset (Supplementary file 1), an inventory of 1100 SIDER2 elements, was generated by surveying the L. major complete genome using bioinformatics tools with further manual refinements. In addition to the genomic distribution of these elements (summarized in Fig. 1), this dataset contains information regarding their association with specific transcripts, based on the recently established transcriptome for L. major[2]., This work was supported by grants from Proyecto del Ministerio de Economía y Competitividad (SAF2013-47556-R, co-financed with FEDER funds), and the Fondo de Investigaciones Sanitarias (ISCIII-RETIC RD12/0018/0009-FEDER). An institutional grant from the Fundación Ramón Areces is also acknowledged., Peer reviewed

This paper contains data related to the research article entitled “Genomic cartography and proposal of nomenclature for the repeated, interspersed elements of the Leishmania major SIDER2 family and identification of SIDER2-containing transcripts” [1]. SIDER2 elements are repeated sequences, derived from, nowadays, extinct retrotransposons, that populate the genomes of protist of the genera Leishmania. This dataset (Supplementary file 1), an inventory of 1100 SIDER2 elements, was generated by surveying the L. major complete genome using bioinformatics tools with further manual refinements. In addition to the genomic distribution of these elements (summarized in Fig. 1), this dataset contains information regarding their association with specific transcripts, based on the recently established transcriptome for L. major [2]., Ministerio de Economía y Competitividad (SAF2013-47556-R, co-financed with FEDER funds), and the Fondo de Investigaciones Sanitarias (ISCIII-RETIC RD12/0018/0009-FEDER).An institutional grant from the Fundación Ramón Areces, Peer Reviewed

Humans evolved by losing the capacity to synthesize the glycan Galα1-3Galβ1-(3)4GlcNAc-R (α-Gal), which resulted in the development of a protective response mediated by anti-α-Gal IgM/IgG/IgA antibodies against pathogens containing this modification on membrane proteins. As an evolutionary trade-off, humans can develop the alpha-Gal syndrome (AGS), a recently diagnosed disease mediated by anti-α-Gal IgE antibodies and associated with allergic reactions to mammalian meat consumption and tick bites. However, the anti-α-Gal antibody response may be associated with other immune-mediated disorders such as those occurring in patients with COVID-19 and Guillain-Barré syndrome (GBS). Here, we provide a dataset (209 entries) on the IgE/IgM/IgG/IgA anti-α-Gal antibody response in healthy individuals and patients diagnosed with AGS, tick-borne allergies, GBS and COVID-19. The data allows correlative analyses of the anti-α-Gal antibody response with factors such as patient and clinical characteristics, record of tick bites, blood group, age and sex. These analyses could provide insights into the role of anti-α-Gal antibody response in disease symptomatology and possible protective mechanisms., We acknowledge UCLM, Spain support to Group SaBio., Peer reviewed

13 pages, 7 figures, 10 tables.-- Code availability: The developed Python code for tagging and labelling the images is available through the Zenodo repository49. Another device that can be used for tagging fishes is the public Label Image tool (https://github.com/tzutalin/labelImg)., Multiparametric video-cabled marine observatories are becoming strategic to monitor remotely and in real-time the marine ecosystem. Those platforms can achieve continuous, high-frequency and long-lasting image data sets that require automation in order to extract biological time series. The OBSEA, located at 4 km from Vilanova i la Geltrú at 20 m depth, was used to produce coastal fish time series continuously over the 24-h during 2013–2014. The image content of the photos was extracted via tagging, resulting in 69917 fish tags of 30 taxa identified. We also provided a meteorological and oceanographic dataset filtered by a quality control procedure to define real-world conditions affecting image quality. The tagged fish dataset can be of great importance to develop Artificial Intelligence routines for the automated identification and classification of fishes in extensive time-lapse image sets, MF was supported by an FPI pre-doctoral research fellowship (ref. PRE2018-083839). This work was developed in the framework of the Research Unit Tecnoterra (ICM-CSIC/UPC) and the following project activities: RESBIO (TEC2017-87861-R) and PLOME (9PLEC2021-007525/AEI/10.13039/501100011033) del Ministerio de Ciencia, Innovación y Universidades. This research activity was also partially founded by the ENDURUNS project (Horizon 2020; Grant Agreement n.824348) and JERICOS3 (Horizon 2020; Grant Agreement no. 871153). This work used the EGI infrastructure with the dedicated support of CESGA. We also acknowledge the financial support from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Peer reviewed

25th Annual Conference of the European Cetacean Society, Long-term datasets on marine mammals: learning from the past to manage the future, 21st – 23rd March 2011, Cádiz, Spain, The Iberian harbour porpoise Phocoena phocoena is a genetically isolated population of around 2600 individuals (SCANS-II), No

Documentary climate data describe evidence of past climate arising from predominantly written historical documents such as diaries, chronicles, newspapers, or logbooks. Over the past decades, historians and climatologists have generated numerous document-based time series of local and regional climates. However, a global dataset of documentary climate time series has never been compiled, and documentary data are rarely used in large-scale climate reconstructions. Here, we present the first global multi-variable collection of documentary climate records. The dataset DOCU-CLIM comprises 621 time series (both published and hitherto unpublished) providing information on historical variations in temperature, precipitation, and wind regime. The series are evaluated by formulating proxy forward models (i.e., predicting the documentary observations from climate fields) in an overlapping period. Results show strong correlations, particularly for the temperature-sensitive series. Correlations are somewhat lower for precipitation-sensitive series. Overall, we ascribe considerable potential to documentary records as climate data, especially in regions and seasons not well represented by early instrumental data and palaeoclimate proxies., This work was supported by the European Commission (ERC Grant PALAEO-RA, 787574) and by Swiss National Science Foundation project WeaR (188701). Simulations underlying EKF400v2 were performed at the Swiss National Supercomputing Centre CSCS. ET is supported by a Marie Skłodowska-Curie Action (“ITHACA-101024389”, and the Government of Aragón through the “Program of research groups” (group H09_20R, “Climate, Water, Global Change, and Natural Systems”)., Peer reviewed

9 pags., 7 figs., 1 tab. -- This article is part of the themed collection: Molecular Dynamics in the Gas Phase, In this study, a complete and self-consistent cross section dataset for electron transport simulations through gaseous benzene in the energy range 0.1-1000 eV has been critically compiled. Its reliability has been evaluated through a joint experimental and computational procedure. To accomplish this, the compiled dataset has been used as input for event-by-event Monte Carlo simulations of the magnetically confined electron transport through gaseous benzene, and the simulated transmitted intensity has been compared with the experimental one for different incident energies and benzene gas pressures., This study has been partially supported by the Spanish Ministerio de Ciencia e Innovacion (Project PID2019-104727RB-C21), Ministerio de Universidades (Project PRX21/00340), and CSIC (Project LINKA20085). AGA and LA thank MICIU and the local CAM government, respectively, for their corresponding grants within the ‘‘Garantıa Juvenil’’ programmes. AIL and PLV acknowledge the Portuguese National Funding Agency (FCT) through research Grants CEFITEC (UIDB/00068/2020). The work is part of COST Action CA18212 – Molecular Dynamics in the GAS phase (MD-GAS)., Peer reviewed

Multiparametric video-cabled marine observatories are becoming strategic to monitor remotely and in real-time the marine ecosystem. those platforms can achieve continuous, high-frequency and long-lasting image data sets that require automation in order to extract biological time series. the OBSEA, located at 4 km from Vilanova i la Geltrú at 20 m depth, was used to produce coastal fish time series continuously over the 24-h during 2013–2014. The image content of the photos was extracted via tagging, resulting in 69917 fish tags of 30 taxa identified. We also provided a meteorological and oceanographic dataset filtered by a quality control procedure to define real-world conditions affecting image quality. The tagged fish dataset can be of great importance to develop Artificial Intelligence routines for the automated identification and classification of fishes in extensive time-lapse image sets

Here we present the first global multi-variable collection of documentary climate records. the dataset doCU-CLIM comprises 621 time series providing information on historical variations in temperature, precipitation, and wind regime.