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Nutritional values of wild edible fungi in Catalan Linguistic Area
No full textThe Catalan Linguistic Area (CLA) is a mycophile territory where interest in the nutritional composition of traditional edible fungi is increasing due to their gastronomic interest. This dataset compile nutritonal values of edible fungi taxa identified in the CLA
Replication Data for: Effects of acid rock drainage on microbial communities in alpine streams of the Pyrenees
No full textThis dataset contains the microbial diversity data used in the associated article. Data for prokaryotes (16S) and eukaryotes (18S) have been obtained using metagenomic methods. In both cases, sequences are assigned to an ASV. Absolute abundances of each ASV are presented for each sample, and each ASV is associated with a specific taxonomic classification. Absolute abundances of each diatom species have been obtained using an optical microscope and classified morphologically. The absolute abundances of each diatom species are presented for each sample along with their corresponding full species names. Abbreviations used in the article for each diatom species are also indicated.
Tax_Assign_Prokaryotes: Dataset of prokaryote sequences with their respective taxonomical assignations.
- #ASV ID: Sequence identifyer
- num_ASV: Number assigned to each ASV
- A1, A2, A3, A4, A5: Samples from acidic streams
- N_A1, N_A2, N_A3, N_A4, N_A5, N_A6: Samples from non-acidic streams
- WC1, WC2, WC3, WC4, WC5, WC6, WC7, WC8, WC9, WC10: Samples from white-coated streams
- From "Kingdom" to "Genus": Taxonomical divisions in hierarchical order from left to right
Tax_Assign_Ekaryotes: Dataset of eukaryote sequences with their respective taxonomical assignations.
- #ASV ID: Sequence identifyer
- num_ASV: Number assigned to each ASV
- A1, A2, A3, A4, A5: Samples from acidic streams
- N_A1, N_A2, N_A3, N_A4, N_A5, N_A6: Samples from non-acidic streams
- WC1, WC2, WC3, WC4, WC5, WC6, WC7, WC8, WC9, WC10: Samples from white-coated streams
- From "Kingdom" to "Species": Taxonomical divisions in hierarchical order from left to right
Absolute_Abundances_Diatoms: Dataset of absolute abundances of each diatom species
- SITE: Region where sample was taken from.
- SAMPLE: Sample where the diatom species was found.
- CODE: Abreviation assigned during taxonomical identification.
- Genus: Taxonomical division in which that diatom species is classified
- Full_taxon_name: Includes genus, species and first identifyer(s) of that species.
- Num: Number of individuals of that species found in that sample.Aquest conjunt de dades conté la informació sobre la diversitat microbiana utilitzada a l’article associat. Les dades dels procariotes (16S) i dels eucariotes (18S) s’han obtingut mitjançant mètodes metagenòmics. En ambdós casos, les seqüències s’han assignat a un ASV. Les abundàncies absolutes de cada ASV es presenten per a cada mostra, i cada ASV està associat a una classificació taxonòmica específica. Les dades de diversitat de diatomees s’han obtingut mitjançant un microscopi òptic i classificant cada espècie morfològicament. Les abundàncies absolutes de cada espècie de diatomea es presenten per a cada mostra, juntament amb el nom complet corresponent de cada espècie. També s’hi indiquen les abreviatures utilitzades a l’article per a cada espècie de diatomea.
Tax_Assign_Prokaryotes: Dataset of prokaryote sequences with their respective taxonomical assignations.
- #ASV ID: Sequence identifyer
- num_ASV: Number assigned to each ASV
- A1, A2, A3, A4, A5: Samples from acidic streams
- N_A1, N_A2, N_A3, N_A4, N_A5, N_A6: Samples from non-acidic streams
- WC1, WC2, WC3, WC4, WC5, WC6, WC7, WC8, WC9, WC10: Samples from white-coated streams
- From "Kingdom" to "Genus": Taxonomical divisions in hierarchical order from left to right
Tax_Assign_Ekaryotes: Dataset of eukaryote sequences with their respective taxonomical assignations.
- #ASV ID: Sequence identifyer
- num_ASV: Number assigned to each ASV
- A1, A2, A3, A4, A5: Samples from acidic streams
- N_A1, N_A2, N_A3, N_A4, N_A5, N_A6: Samples from non-acidic streams
- WC1, WC2, WC3, WC4, WC5, WC6, WC7, WC8, WC9, WC10: Samples from white-coated streams
- From "Kingdom" to "Species": Taxonomical divisions in hierarchical order from left to right
Absolute_Abundances_Diatoms: Dataset of absolute abundances of each diatom species
- SITE: Region where sample was taken from.
- SAMPLE: Sample where the diatom species was found.
- CODE: Abreviation assigned during taxonomical identification.
- Genus: Taxonomical division in which that diatom species is classified
- Full_taxon_name: Includes genus, species and first identifyer(s) of that species.
- Num: Number of individuals of that species found in that sample.Este conjunto de datos contiene la información sobre la diversidad microbiana utilizada en el artículo asociado. Los datos de procariotas (16S) y eucariotas (18S) se han obtenido mediante métodos metagenómicos. En ambos casos, las secuencias se han asignado a un ASV. Las abundancias absolutas de cada ASV se presentan para cada muestra, y cada ASV está asociado a una clasificación taxonómica específica. Los datos de diversidad de diatomeas se han obtenido utilizando un microscopio óptico y clasificando morfológicamente cada especie. Las abundancias absolutas de cada especie de diatomea se presentan para cada muestra junto con sus nombres completos correspondientes. También se indican las abreviaturas utilizadas en el artículo para cada especie de diatomea.
Tax_Assign_Prokaryotes: Dataset of prokaryote sequences with their respective taxonomical assignations.
- #ASV ID: Sequence identifyer
- num_ASV: Number assigned to each ASV
- A1, A2, A3, A4, A5: Samples from acidic streams
- N_A1, N_A2, N_A3, N_A4, N_A5, N_A6: Samples from non-acidic streams
- WC1, WC2, WC3, WC4, WC5, WC6, WC7, WC8, WC9, WC10: Samples from white-coated streams
- From "Kingdom" to "Genus": Taxonomical divisions in hierarchical order from left to right
Tax_Assign_Ekaryotes: Dataset of eukaryote sequences with their respective taxonomical assignations.
- #ASV ID: Sequence identifyer
- num_ASV: Number assigned to each ASV
- A1, A2, A3, A4, A5: Samples from acidic streams
- N_A1, N_A2, N_A3, N_A4, N_A5, N_A6: Samples from non-acidic streams
- WC1, WC2, WC3, WC4, WC5, WC6, WC7, WC8, WC9, WC10: Samples from white-coated streams
- From "Kingdom" to "Species": Taxonomical divisions in hierarchical order from left to right
Absolute_Abundances_Diatoms: Dataset of absolute abundances of each diatom species
- SITE: Region where sample was taken from.
- SAMPLE: Sample where the diatom species was found.
- CODE: Abreviation assigned during taxonomical identification.
- Genus: Taxonomical division in which that diatom species is classified
- Full_taxon_name: Includes genus, species and first identifyer(s) of that species.
- Num: Number of individuals of that species found in that sample
Partitura i enregistrament [partitura y grabación] Sonata nº2 en Fa Major / Fa Mayor, de Carles Baguer (1768-1808)
No full text[CAT] Sota el marc del projecte Estudi i Recuperació de Patrimoni Musical que està desenvolupant la UB i el CSIC, juntament amb el CRAI Biblioteca de Fons Antic de la Universitat de Barcelona, el Grup per a l'Estudi del Patrimoni Musical (GEPAM), el Grup de Recerca Patrimoni Musical Històric de la Institució Milà i Fontanals d'Investigació en Humanitats del CSIC, l'Arquebisbat de Barcelona, la Catedral de Barcelona, l'Arxiu de l'Església de Santa Maria del Pi i l'Oratori de Sant Felip Neri de Barcelona, ha recuperat una peça musical de Carles Baguer (1768-1808) que es troba al manuscrit MS. 1378 del fons musical del CRAI Biblioteca de Fons Antic de la Universitat de Barcelona.
Aquest conjunt de dades conté dos arxius:
- Transcripció de la Sonata nº2 en Fa Major de Carles Baguer del manuscrit Ms. 1378.
- Enregistrament del so de la peça interpretada per: Manuel Grande-Escosa, amb un piano A. Walter de 1803 (còpia moderna de Paul Poletti).
[ESP]El proyecto Estudio y Recuperación del Patrimonio Musical que desarrollan la UB y el CSIC, junto con el CRAI Biblioteca de Fons Antic de la Universitat de Barcelona, el Grupo de Investigación Patrimonio Musical Histórico de la Institución Milá y Fontanals de Investigación en Humanidades del CSIC, la Archidiócesis de Barcelona, la Catedral de Barcelona, el Arxiu de l'Església de Santa Maria del Pi y el Oratorio de Sant Felip Neri de Barcelona, ha recuperado Patrimonio musical: pieza musical de Carles Baguer (1768-1808) que se encuentra en el manuscrito Ms.1378 de la colección de música del CRAI Biblioteca de Fons Antic de la Universitat de Barcelona.
Este conjunto de datos contiene dos archivos:
- Transcripción de la Sonata nº2 en Fa Major de Carles Baguer del manuscrito Ms. 1378.
- Grabación sonora de la pieza interpretada por: Manuel Grande-Escosa, con un piano A. Walter de 1803 (copia moderna de Paul Poletti)
Encuesta de Actitudes Populistas en España / Survey on Populist Attitudes in Spain (2018)
No full textThe "Encuesta de Actitudes Populistas en España / Survey on Populist Attitudes in Spain (2018)" dataset measures the populist attitudes of Spanish citizens, along with other political attitudes, sentiments, personality traits, and relevant socio-demographic characteristics. The survey was conducted by the Democracy, Elections and Citizenship (DEC) research group through online surveys administered between September 27 and October 28, 2018. The dataset contains 3,031 interviews and a total of 173 variables
Mouse brain transcriptome data obtained by ribotag
No full textTranscriptome data of Otp cells. Samples from posterodorsal medial amygdala (MePD), medial bed nucleus of the stria terminalis (BSTM), and paraventricular hypothalamic nucleus (PVN), from 60-days-old mouse. For each brain division: two pools of males (except PVN, which includes only one) and two pools of females. Each pool consists of samples from 4 animals. Data include comparisons of IP (Otp cells) versus INPUT (all cells) in each subdivision, and comparisons of IP between subdivisions
Datasets for comparing daytime radiative cooling production with cooling demands in Europe
No full textThis dataset corresponds to a study aimed at assessing the feasibility of daytime radiative cooling (DRC) as a solution for meeting the cooling demands of buildings in Europe, emphasizing the importance of quantifying the potential. Each of the files of the data set contains the data used to generate the corresponding figures (figures 1b, 2, 3, 4, 5 and 6) in the paper "Exploring the suitability of radiative cooling: Comparing daytime cooling production with cooling demand in buildings − An European perspective". The data set associated to Figure 1b has values of the daytime radiative cooling energy potential across Europe during the summer months of June, July, and August. The second data set is associated to Figures 2 and 3 of the paper. It contains values for the cooling demand in buildings for 20 different cities in Europe, together with values of the European Cooling Index developed in a previous paper of Werner et al (https://doi.org/10.1016/j.energy.2015.11.028) and values of a new ECI index developed by the authors with avalilable cooling degree days (CDD) data. The data set associated to Figure 4 contains geospaced values of the Cooling demand in Europe during the summer months (June, July, and August). The data set corresponding to Figure 5 has geospaced values of the number of floors for which cooling demand can be potentially covered with daytime radiative cooling. Finally, the last data set corresponds to values of: the number of floors the cooling demand of which can be covered by RC in the main cities in Spain, the average number of floors in a building and the Cooling Coverage Percentage (CCP)
Bioprinting characterization dataset of 3D experiments aimed at optimizing the fabrication of tumor–endothelium models
No full textThe bioprinting characterization dataset documents a comprehensive series of 3D bioprinting experiments aimed at optimizing the fabrication of tumor–endothelium models through systematic variation of bioprinting parameters and hydrogel compositions. The purpose of the dataset is to develop and refine reproducible bioprinted hydrogels that accurately replicate physiological features such as endothelial barrier integrity and cancer cell extravasation within engineered extracellular matrix (ECM) environments. The data encompass multiple experimental trials in which different hydrogel formulations, UV crosslinking conditions, and cell seeding strategies were tested to identify the optimal conditions for construct stability, cell viability, and functional performance. Each experiment is recorded in detail across several time points, from initial cell thawing and ECM preparation to cytokine treatment, TEER (transendothelial electrical resistance) measurements, and immunostaining. The dataset integrates both procedural metadata, such as plate layouts, reagent information, and experimental goals, and assay results, including live/dead viability, diffusion, and permeability analyses. Overall, the dataset represents a structured and iterative effort to optimize bioprinting techniques and biomaterial compositions for fabricating robust, functional 3D microphysiological models that enable the study of cancer cell migration, endothelial responses, and biomaterial–cell interactions in a controlled in vitro system
Replication Data for: Microbial Biotransformation of Agro-Industrial Fibre-Rich By-Products into Functional Beverages
No full textIncludes the experimental results of the microbial transformation through submerged fermentation with bacteria, of agro-industrial fibre-rich by-products, for the production of functional beverages, evaluating the antioxidant capacity
RISC-V Hardware attack traces on gem5 O3 CPU performance and instruction counters (HARPY-V-GEM5)
No full textDataset containing monitoring of various hardware performance counters (HPCs) and executed instructions associated with the proof-of-concept of 16 side-channel attacks (access-retired, evict-reload, fence-flush, flush-fault, flush-fault-ret, flush-flush, flush-reload, ghostwrite, iflush-reload, interrupt-timing, page-walk, spectre-rsb, spectre-v1, spectre-v2, timer-drift, tlb-evict). Some attacks were modified so that the attack occurs more frequently to obtain a larger number of samples, together with the data collected for 16 benign programs/benchmarks (bitcoin, bubble-sort, bzip2, coremark, dhrystone, ffmpeg, mandelbrot, matrix, mybench, polybench, sha256sum, sieve, speedtest, stream, stress_c, stress_m). All programs are run on a RISC-V architecture — specifically, a single-core processor is modeled using gem5’s O3 CPU to simulate realistic speculative execution, using the RISC-V ISA at 3 GHz, with a memory hierarchy that includes 16 KiB L1 caches, a unified 256 KiB L2 cache, and 4 GiB DDR4-2400 memory, recording statistics every 10,000 instructions for detailed performance analysis.
The selection of the hardware attacks used to collect the data was made based on the benchmark set employed in the physical-hardware tests to verify whether the simulation produced results faithful to those obtained when running the exploits on a physical board. Concretely, we relied on the dataset "RISC-V hardware attack traces on on-chip hardware performance counters (HARPY-V Dataset)", https://doi.org/10.34810/data2538.
The selection of benign programs was primarily based on benchmark suites that offered reliable and reproducible execution behavior, thus enabling effective comparison with the workloads. A range of different benchmark suites with varied approaches was chosen to ensure optimal coverage of the dataset
Replication Data for: "Long-Term Stable Neural Interfaces with Nanoporous Graphene Electrodes and Hybrid Polyimide-Aluminium Oxide Encapsulation"
No full textGraphene‐based thin film technology holds great promise for next‐generation neural interfaces due to graphene´s electrical, electrochemical, and mechanical properties. However, the long‐term reliability of this technology remains a challenge, primarily due to the instability of thin‐film encapsulation in physiological environments. While standard ceramic encapsulation is robust, it is not compatible with the miniaturization required for minimally invasive implants. This study demonstrates the successful integration of a hybrid encapsulation strategy, combining polyimide with atomic layer deposited (ALD) Al2O3, with nanoporous reduced graphene oxide (rGO) microelectrodes, resulting in chronically stable graphene‐based neural interfaces. The encapsulation robustness is validated using flexible interdigitated electrodes (IDEs) subjected to accelerated aging and continuous electrical stress. IDEs demonstrated stable performance after soaking for over 1.5 years in phosphate buffer saline (PBS) at 57 °C. Nanoporous graphene microelectrodes combined with the proposed encapsulation retained their structural integrity and electrochemical performance after soaking for 377 days in PBS at 57 °C, withstanding 1 billion biphasic pulses at very high charge density (1 mC cm−2) and hundreds of bending cycles without noticeable performance deterioration. This work establishes a long‐term stable graphene‐based neural interface combining nanoporous rGO electrodes and a hybrid polyimide/Al2O3 encapsulation, demonstrating a key technology advancement for the use of graphene neural interfaces in chronic brain monitoring and neuromodulation applications