This dataset lists and summarizes all 161 articles that we used to write a review on the effects of fire on stream ecosystems. First we characterize each article in terms of country, biome, fire regime, stream size, stream slope, land use and cover, time since fire, study design, replication, indicators measured, etc. Then, we summarize the information extracted from the articles that measured biological stream endpoints and that we used to quantify and model the responses of different biological endpoints (namely benthic invertebrates, fish, periphyton and functional indicators) to fire.

Set of data investigating the immunogenicity of SARS-CoV-2 spike protein.

Raw data of a set of experiments aimed to investigate the citrate-assisted regulation of endocrine-like functions in bio-mimetic amyloids. Generic methodologies used here are similar to those described in: - https://doi.org/10.1002/advs.201902420 - https://doi.org/10.1002/adfm.202100914 - https://doi.org/10.1080/10717544.2021.1998249

Exosomes are nanovesicles present in all the biological fluids, making them attractive as non-invasive biomarkers for diseases like cancer, among many others. However, exosomes are complex to separate and detect, requiring comprehensive molecular characterization for their routine use in diagnostics. This study explores the use of peptides as cost-effective and stable alternatives to antibodies for exosome binding. To achieve that, phage display technology was employed to select peptides with high specificity for target molecules in exosomes. Specifically, a selected peptide was evaluated for its ability to selectively bind breast cancer-derived exosomes. Proteomic analysis identified 38 protein candidates targeted by the peptide on exosome membranes. The binding of the peptide to breast cancer-derived exosomes was successfully demonstrated by flow cytometry and magneto-actuated immunoassays. Furthermore, an electrochemical biosensor was also tested for breast cancer-derived exosome detection and quantification. The peptide demonstrated effective binding to exosomes from aggressive cancer cell lines, offering promising results in terms of specificity and recovery. This research shows potential for developing rapid, accessible diagnostic tools for breast cancer, especially in low-resource healthcare settings.

This contains 3 datasets: 1) The study protocol approved by the Research Ethics Committee (CER) of the Universitat Internacional de Catalunya (Code: FIS-2022-11). 2) The outcome assessment form including the duplicate evaluation of the SPIRIT items. 3) The censored version (no temporal reference or participant personal data) of all RCT protocols included in the study.

This dataset lists and summarizes all 161 articles that we used to write a review on the effects of fire on stream ecosystems. First we characterize each article in terms of country, biome, fire regime, stream size, stream slope, land use and cover, time since fire, study design, replication, indicators measured, etc. Then, we summarize the information extracted from the articles that measured biological stream endpoints and that we used to quantify and model the responses of different biological endpoints (namely benthic invertebrates, fish, periphyton and functional indicators) to fire.

This dataset encompasses data produced and analyzed in the context of the scientific article "Severe droughts reduce river navigability and isolate communities in the Brazilian Amazon" published at Communications Earth & Environment in 2024 (doi: 10.1038/s43247-024-01530-4). Three main analyses were performed for the article: (1) spatial analysis of accessibility of human settlements; (2) content analysis of media articles reporting impacts of severe droughts from 2000-2020, followed by temporal and spatial analysis; (3) hydrological analysis of water levels. The dataset includes: geospatial data, tabular data, and R scripts.

This study aimed to determine whether a text message is as good as a postal letter as an invitation method for previous screenees in a breast cancer screening program, considering a non-inferiority margin of -2 percent points on participation rate. A non-inferiority randomized control trial was conducted. Women in the intervention group (n=5,362) were invited by text message, and women in the control group (n=5,482) were invited by letter, which is the standard invitation procedure of the program. In both groups, the invitation included a fixed appointment for mammography and a text message reminder 96 hours before the appointment. The primary outcome was screening participation rate (completing mammography within 12 weeks of invitation). The intention-to-treat analysis showed a participation rate of 87.3% and 86.6% in the control and intervention groups, respectively. The difference in participation rate was -0.7 percentage points (95% confidence interval [CI], -1.8 to ∞), indicating non-inferiority of text messages compared to letter invitations. The per-protocol analysis showed similar results. In conclusion, we found that a text message invitation for women who had previously participated in breast cancer screening was not inferior to the standard letter.

Data from a randomized clinical trial aimed at evaluating the impact on participation of an additional FIT completion/return reminder delivered by text message to individuals who picked up but did not return their screening kit at pharmacy within 14 days in the colorectal screening program of the Metropolitan Area of Barcelona. Setting: pharmacy-based screening program for colorectal cancer program in Catalonia, Spain. Study population: 9,369 individuals aged 50-69 years invited to screening who picked up a FIT kit but did not return it within 14 days. Randomization into 2 groups: (1) Intervention (n=4,563): SMS reminder (on day 14 after picking it) + Reminder letter (if they had not completed the FIT 30 days after picking it up); (2) Control (n=4,806): Reminder letter (if they had not completed the FIT kit 30 days after picking it) Main primary outcome: FIT completion rate within 30, 60, and 126 days from FIT kit pick-up (intention-to-treat-analysis). Baseline variables included were sex, age group and tertiles of deprivation score index (DS), based on the individual's Catalan primary healthcare referral area.

This dataset contains the infrared spectra of CTX-TNA2 rat astrocytes (healthy) and F98 rat glioma (tumour) cell lines subjected to standard proton radiotherapy and proton minibeam radiation therapy (pMBRT), measured via synchrotron radiation-based Fourier transform infrared microspectroscopy (SR-FTIRM).