BUSCADOR RECOLECTA

Air pollution in urban areas poses a significant and pressing challenge for modern society. Unfortunately, the existing network of pollution detectors in many cities is limited in scope and fails to adequately cover the entire geographical area. Consequently, the implementation of spatial prediction algorithms becomes essential to generate high-resolution data. In this paper, we introduce two significant contributions: 1) We formalize the air pollution prediction problem as a Maximum A Posteriori (MAP) estimate within the framework of a Markov Random Field and 2) we propose a message-passing algorithm, which stands out as an efficient solution that surpasses the current state of the art. The experimental procedure has been carried out using the case study of the city of Barcelona, based on a dataset extracted from the BCN Open Data portal., Code of the paper "Spatial air quality prediction in urban areas via message passing", Peer reviewed

Per- and polyfluoroalkyl substances (PFAS) are persistent anthropogenic contaminants, some of which are toxic and bioaccumulative. Perfluoroalkyl carboxylic acids (PFCAs) and perfluoroalkyl sulfonic acids (PFSAs) can form during the atmospheric degradation of precursors such as fluorotelomer alcohols (FTOHs), N-alkylated perfluoroalkane sulfonamides (FASAs), and hydrofluorocarbons (HFCs). Since PFCAs and PFSAs will readily undergo wet deposition, snow and ice cores are useful for studying PFAS in the Arctic atmosphere. In this study, 36 PFAS were detected in surface snow around the Arctic island of Spitsbergen during January-August 2019 (i.e., 24 h darkness to 24 h daylight), indicating widespread and chemically diverse contamination, including at remote high elevation sites. Local sources meant some PFAS had concentrations in snow up to 54 times higher in Longyearbyen, compared to remote locations. At a remote high elevation ice cap, where PFAS input was from long-range atmospheric processes, the median deposition fluxes of C2-C11 PFCAs, PFOS and HFPO-DA (GenX) were 7.6-71 times higher during 24 h daylight. These PFAS all positively correlated with solar flux. Together this suggests seasonal light is important to enable photochemistry for their atmospheric formation and subsequent deposition in the Arctic. This study provides the first evidence for the possible atmospheric formation of PFOS and GenX from precursors., Peer reviewed

All trace elements are reported normalized as ratios with respect to Ca (, where X stands for the individual elements) in units of millimoles per mole. In the following paper, “trace element” refers to the normalized ratio to Ca. A standardized conversion sheet is used to facilitate conversions from grams to moles (available in the repository). Sr-isotope data are reported as values. For internal consistency and to facilitate future intercomparison and synthesis studies, the measurement method and reference materials used as well as the measurement precision are also reported for both trace elements and Sr isotopes., Palaeoclimate information on multiple climate variables at different spatiotemporal scales is becoming increasingly important to understand environmental and societal responses to climate change. A lack of high-quality reconstructions of past hydroclimate has recently been identified as a critical research gap. Speleothems, with their precise chronologies, widespread distribution, and ability to record changes in local to regional hydroclimate variability, are an ideal source of such information. Here, we present a new version of the Speleothem Isotopes Synthesis and AnaLysis database (SISALv3), which has been expanded to include trace element ratios and Sr isotopes as additional, hydroclimate-sensitive geochemical proxies. The oxygen and carbon isotope data included in previous versions of the database have been substantially expanded. SISALv3 contains speleothem data from 365 sites from across the globe, including 95 Mg/Ca, 85 Sr/Ca, 52 Ba/Ca, 25 U/Ca, 29 P/Ca, and 14 Sr-isotope records. The database also has increased spatiotemporal coverage for stable oxygen (892) and carbon (620) isotope records compared with SISALv2 (which consists of 673 and 430 stable oxygen and carbon records, respectively). Additional meta information has been added to improve the machine-readability and filtering of data. Standardized chronologies are included for all new entities along with the originally published chronologies. Thus, the SISALv3 database constitutes a unique resource of speleothem palaeoclimate information that allows regional to global palaeoclimate analyses based on multiple geochemical proxies, permitting more robust interpretations of past hydroclimate and comparisons with isotope-enabled climate models and other Earth system and hydrological models. The database can be accessed at 10.5287/ora-2nanwp4rk (Kaushal et al., 2024)., Peer reviewed

This dataset includes 7 folders with raw data of manuscript "Dynamics of interaction and internalisation of the antifungal protein PeAfpA into Penicillium digitatum morphotypes". Each forder includes a “Readme” file (.txt files) to specificy experimental conditions for data collection., Valorization of agri-food residues has garnered significant interest for obtaining value-added compounds such as enzymes or bioactive molecules. Rice milling by-products, such as rice bran, have limited commercial value and may pose environmental challenges. Filamentous fungi are recognized for their ability to grow on residues and for their capacity to produce large amounts of metabolites and enzymes of industrial interest. Here, we used filamentous fungi to produce enzyme cocktails from rice bran, which, due to its polysaccharide composition, serves as an ideal substrate for the growth of fungi producing cellulases and xylanases. To this end, sixteen fungal strains were isolated from rice bran and identified at the species level. The species belonged to the genera Aspergillus, Penicillium, and Mucor. The Aspergillus species displayed the highest efficiency in cellulase and xylanase activities, especially A. niger var. phoenicis and A. amstelodami. A. terreus, A. tritici, and A. montevidensis stood out as xylanolytic isolates, while P. parvofructum exhibited good cellulase activity. A. niger var. phoenicis followed by A. terreus showed the highest specific enzymatic activities of α- and β-D-galactosidase, α-L-arabinofuranosidase, α- and β-D-glucosidase, and β-D-xylosidase. Additionally, proteomic analysis of A. terreus, A. niger var. phoenicis, and P. parvofructum exoproteomes revealed differences in enzyme production for rice bran degradation. A. niger var. phoenicis had the highest levels of xylanases and cellulases, while P. parvofructum excelled in proteases, starch-degrading enzymes, and antifungal proteins. Finally, two Penicillium isolates were notable as producers of up to three different antifungal proteins. Our results demonstrate that filamentous fungi can effectively valorize rice bran by producing enzyme cocktails of industrial interest, along with bioactive peptides, in a cost-efficient manner, aligning with the circular bio-economy framework., This work was supported by the project AGROALNEXT/2022/035 by MICIN with funding from the European Union NextGenerationEU/PRTR-C17.I1 and by Generalitat Valenciana. SG holds a Juan de la Cierva Incorporación grant (IJC2020-042749-I) funded by MCIN/AEI/ 10.13039/501100011033, “ERDF: A way of making Europe”, and ‘NextGenerationEU/PRTR’. The authors also acknowledge the Severo Ochoa Excellence Program CEX 2021-001189-S funded by MCIN/AEI and by “ERDF: A way of making Europe”., With funding from the Spanish goverment through the "Severo Ochoa Centre of Excellence" accreditation (CEX 2021-001189-S), 1. File List: -- -- 1_Figure 1:-- -- 1-1_Figure 1_ITS:-- ITS_sequences.txt-- ITS_session_def7_clustal_ Maxim_short ( def).PDF-- ITS_session_def7_clustal_ Maxim_short ( def).pptx-- ITS_session_def7_clustal_ Maxim_short (def).emf-- ITS_session_def7_clustal_ Maxim_short (def).nwk-- -- 1-2_Figure 1B_Tubuline:-- Alignment Tubulina_ clustal.meg-- tub tree session clustal_ Maximum.PDF-- tub tree session clustal_Maximum.emf-- tub tree session clustal_Maximum.MTS-- tub tree session clustal_Maximum.png-- Tubuline_sequences.txt-- -- 1-3_Figure 1C_Calmoduline:-- Alignment Calmoduline_clustal.meg-- calmodul tree session clustal_Maximum.emf-- calmodul tree session clustal_Maximum.jpg-- calmodul tree session clustal_Maximum.MTS-- calmodul tree session clustal_Maximum.PDF-- Calmoduline_sequences.txt-- d5156753.png-- -- 1-4_ Fig1_README.txt-- -- -- 2_Figure 2:-- -- 2-1_Figure 2A_ cellulase activity:-- -- 2-1-1_Statistical analysis of cellulase activity:-- datos.sgd-- Statistical analysis.docx-- statreporter.rtf-- -- 2-1-2_Glucose_5h_45ºC_ activity.xlsx-- -- -- 2-2_Figure 2B_ xylanase activity:-- ANÁLISIS ESTADÍSTICO XILOSA 240125.docx-- datos.sgd-- statfolio.SGP-- statreporter.rtf-- Xylose_30min_45ºC.xlsx-- -- -- 2-3_Fig2_README.txt-- -- -- 3_Figure 3:-- -- 3-1_Figure 3A:-- -- 3-1-1_A. amstelodami_AM_13:-- Cellulose A. amstelodami (Day 7).JPEG-- Cellulose A. amstelodami (Day 10).JPEG-- D-glucose A. amstelodami (Day 7).JPEG-- D-xylose A. amstelodami (Day 7).JPEG-- L-arabinose A. amstelodami (Day 7).JPEG-- Maltose A. amstelodami (Day 7).JPEG-- NCS A. amstelodami (Day 7).JPEG-- Rice bran A.amstelodami (Day 7).JPEG-- Starch A. amstelodami (Day 7).JPEG-- Starch A. amstelodami (Day 10).JPEG-- Xylan A. amstelodami (Day 7).JPEG-- -- 3-1-2_A. niger var. phoenicis_RT_3:-- Cellulose A. niger var. phoenicis (Day 7).JPEG-- Cellulose A. niger var. phoenicis (Day 10).JPEG-- D- glucose A. niger var. phoenicis (Day 7).JPEG-- D-xylose A. niger var. phoenicis (Day 7).JPEG-- L- arabinose A. niger var. phoenicis (Day 7).JPEG-- Maltose A. niger var. phoenicis (Day 7).JPEG-- NCS A. niger var. phoenicis (Day 7).JPEG-- Rice bran A. niger var. phoenicis (Day 7).JPEG-- Starch A. niger var. phoenicis (Day 7).JPEG-- Starch A. niger var. phoenicis (Day 10).JPEG-- Xylan A. niger var. phoenicis (Day 7).JPEG-- -- -- 3-1-3_A. terreus_AM_39:-- Cellulose A. terreus (Day 7).JPEG-- Cellulose A. terreus (Day 10).JPEG-- D. glucose A. terreus (Day 7).JPEG-- L. arabinose A. terreus (Day 7).JPEG-- Maltose A. terreus (Day 7).JPEG-- NCS A. terreus (Day 7).JPEG-- Rice bran A. terreus (Day 7).JPEG-- Starch A. terreus (Day 7).JPG-- Starch A. terreus (Day 10).JPEG-- Xylan A. terreus (Day 7).JPEG-- Xylose A. terreus (Day 7).JPEG-- -- -- 3-1-4_P. parvofructum_AM_8:-- Cellulose P. parvofructum (Day 7).JPEG-- Cellulose P. parvofructum (Day 10).JPEG-- D-glucose P. parvofructum (Day 7).JPEG-- D-xylose P. parvofructum (Day 7).JPEG-- L-arabinose P. parvofructum (Day 7).JPEG-- Maltose P. parvofructum (Day 7).JPEG-- NCS P. parvofructum (Day 7).JPEG-- Rice bran P. parvofructum (Day 7).JPEG-- Starch P. parvofructum (Day 7).JPEG-- Starch P. parvofructum (Day 10).JPEG-- Xylan P. parvofructum (Day 7).JPEG-- -- -- 3-2_Figure 3B-- Data_Figure 3.xlsx-- Statistical analysis pNPs.docx-- -- -- 3-3_Fig3_README.txt-- -- -- 4_Figure 4:-- -- 4-1_Figure_4A-- -- 4-1-1_AM8_SA_7days_ fig 4 20240730_144248_Co:-- AM8_SA_7dias_ fig 4 20240730_144248_Co_Gel.jpg-- AM8_SA_7dias_ fig 4 20240730_144248_Co_Gel.tif-- -- 4-1-2_AM39_SA_7days_ fig 4 20240730_144701_Co:-- AM39_SA_7dias_ fig 4 20240730_144701_Co_Gel.jpg-- AM39_SA_7dias_ fig 4 20240730_144701_Co_Gel.tif-- -- 4-1-3_RT3_SA_7days_ fig 4 20240730_144918_Co:-- RT3_SA_7dias_ fig 4 20240730_144918_Co_Gel.jpg-- RT3_SA_7dias_ fig 4 20240730_144918_Co_Gel.tif-- -- -- 4-2_Figure_4B:-- Proteomics data.xlsx-- -- 4-3_Fig4_README.txt-- -- -- 5_Supp Figure S1-- -- 5-1_Figure S1_A:-- -- 5-1-1_ AM_3:-- AM_3_CYA.jpg-- AM_3_MEA.jpg-- AM_3_PDA.jpg-- AM_3_YES.jpg-- -- 5-1-2_AM_8:-- AM_8_CYA.jpg-- AM_8_MEA.jpg-- AM_8_PDA.jpg-- AM_8_YES.jpg-- -- 5-1-3_ AM_9:-- AM_9_CYA.jpg-- AM_9_MEA.jpg-- AM_9_PDA.jpg-- AM_9_YES.jpg-- -- 5-1-4_AM_13:-- AM_13_CYA.jpg-- AM_13_MEA.jpg-- AM_13_PDA.jpg-- AM_13_YES.jpg-- -- -- 5-1-5_AM_15:-- AM_15_CYA.jpg-- AM_15_MEA.jpg-- AM_15_PDA.jpg-- AM_15_YES.jpg-- -- 5-1-6_AM_27:-- AM_27_CYA.jpg-- AM_27_MEA.jpg-- AM_27_PDA.jpg-- AM_27_YES.jpg-- -- 5-1-7_AM_29:-- AM_29_CYA.jpg-- AM_29_MEA.jpg-- AM_29_PDA.jpg-- AM_29_YES.jpg-- -- 5-1-8_AM39:-- AM_39_CYA.jpg-- AM_39_MEA.jpg-- AM_39_PDA.jpg-- AM_39_YES.jpg-- -- -- 5-2_Figure S1_B:-- -- 5-2-1_RB_5.4:-- RB_5.4_CYA.jpg-- RB_5.4_MEA.jpg-- RB_5.4_PDA.jpg-- RB_5.4_YES.jpg-- -- 5-2-2_RB_9:-- RB_9_CYA.jpg-- RB_9_MEA.jpg-- RB_9_PDA.jpg-- RB_9_YES.jpg-- -- 5-2-3_RB_10:-- RB_10_CYA.jpg-- RB_10_MEA.jpg-- RB_10_PDA.jpg-- RB_10_YES.jpg-- -- 5-2-4_RB_13:-- RB_13_CYA.jpg-- RB_13_MEA.jpg-- RB_13_PDA.jpg-- RB_13_YES.jpg-- -- 5-2-5_RB_13.2:-- RB_13.2_CYA.jpg-- RB_13.2_MEA.jpg-- RB_13.2_PDA.jpg-- RB_13.2_YES.jpg-- -- -- 5-2-6_RT_1:-- Negro1.jpg-- RT_1_CYA.jpg-- RT_1_MEA.jpg-- RT_1_PDA.jpg-- RT_1_YES.jpg-- -- 5-2-7_RT_3:-- RT_3_CYA.jpg-- RT_3_MEA.jpg-- RT_3_PDA.jpg-- RT_3_YES.jpg-- -- 5-2-8_RT_4:-- RT_4_CYA.jpg-- RT_4_MEA.jpg-- RT_4_PDA.jpg-- RT_4_YES.jpg-- -- -- 5-3_FigS1_README.txt-- -- -- 6_Supp Figure S2-- -- 6-1_Gel_SDS_PAGE_Supernatants:-- 230609_RT3 2023.06.01_22.43.49_Co.jpg-- 230616_AM_3 2023.06.14_02.18.23_Co.jpg-- 230616_AM_8 2023.06.16_00.07.41_Co.jpg-- 230616_AM_9 2023.06.12_01.23.42_Co.jpg-- 230616_AM_13 2023.06.12_01.19.53_Co.jpg-- 230616_AM_27 2023.06.16_00.11.33_Co.jpg-- 230616_AM_29 2023.06.12_21.56.33_Co.jpg-- 230616_AM_39 2023.06.14_02.21.57_Co.jpg-- 230616_RT_1 2023.06.12_21.53.39_Co.jpg-- 230626_AM_13 (2º) 2023.06.18_23.36.35_Co.jpg-- Figure S2. D- Aspergillus tritici.jpg-- Figure S2. G- Aspergillus chevalieri.jpg-- Figure S2. H- Aspergillus tubingensis.jpg-- RB10 2023.06.07_22.29.45_Co.jpg-- RT4 2023.06.07_22.26.41_Co.jpg-- -- 6-2_FigS2_README.txt-- -- 7_Supp Figure S3-- FigureS3.jpg-- FigS3_README.txt-- -- -- 8_ Supplementary Data.xlsx, Peer reviewed

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social interaction and communication, anxiety, hyperactivity, and interest restricted to specific subjects. In addition to the genetic factors, multiple environmental factors have been related to the development of ASD. Animal models can serve as crucial tools for understanding the complexity of ASD. In this study, a chemical model of ASD has been developed in zebrafish by exposing embryos to valproic acid (VPA) from 4 to 48 h post-fertilization, rearing them to the adult stage in fish water. For the first time, an integrative approach combining behavioral analysis and neurotransmitters profile has been used for determining the effects of early-life exposure to VPA both in the larval and adult stages. Larvae from VPA-treated embryos showed hyperactivity and decreased visual and vibrational escape responses, as well as an altered neurotransmitters profile, with increased glutamate and decreased acetylcholine and norepinephrine levels. Adults from VPA-treated embryos exhibited impaired social behavior characterized by larger shoal sizes and a decreased interest for their conspecifics. A neurotransmitter analysis revealed a significant decrease in dopamine and GABA levels in the brain. These results support the potential predictive validity of this model for ASD research., Peer reviewed

Data associated with the article Gianuca et al. (2024) Flow intermittence influence biodiversity-stability relationships across spatial scales: implications for an uncertain future. Global Change Biology, Climate change is increasing the proportion of river networks experiencing flow intermittence, which in turn reduces local diversity (i.e., α-diversity) but enhances variation in species composition among sites (i.e., β-diversity), with potential consequences on ecosystem stability. Indeed, the multiscale theory of stability proposes that regional stability can be attained not only by local processes but also by spatial asynchrony among sites. However, it is still unknown whether and how scale-dependent changes in biodiversity associated with river flow intermittence influence stability across spatial scales. To elucidate this, we here focus on multiple metacommunities of French rivers experiencing contrasting levels of flow intermittence. We clearly show that the relative contribution of spatial asynchrony to regional stability was higher for metacommunities of intermittent than perennial rivers. Surprisingly, spatial asynchrony was mainly linked to asynchronous population dynamics among sites, but not to β-diversity. This finding was robust for both truly aquatic macroinvertebrates and for taxa that disperse aerially during their adult stages, implying the need to conserve multiple sites across the landscape to attain regional stability in intermittent rivers. By contrast, metacommunities of truly aquatic macroinvertebrates inhabiting perennial rivers were mainly stabilized by local processes. Our study provides novel evidence that metacommunities of perennial and intermittent rivers are stabilized by contrasting processes operating at different spatial scales. We demonstrate that flow intermittence enhances spatial asynchrony among sites, thus resulting in a regional stabilizing effect on intermittent river networks. Considering that climate change is increasing the proportion of intermittent rivers worldwide, our results suggest that managers need to focus on the spatial dynamics of metacommunities more than on local-scale processes to monitor, restore, and conserve freshwater biodiversity., Peer reviewed

This is the code for the paper "Regional Variation in the Role of Humidity on City-level Heat-Related Mortality" lead by Q.G., The rising humid heat is regarded as a severe threat to human survivability, but the proper integration of humid heat into heat-health alerts is still being explored. Using state-of-the-art epidemiological and climatological datasets, we examined the association between multiple heat stress indicators (HSIs) and daily human mortality in 739 cities worldwide. Notable differences were observed in the long-term trends and timing of heat events detected by HSIs. Air temperature (Tair) predicts heat-related mortality well in cities with a robust negative Tair-relative humidity correlation (CT-RH). However, in cities with near-zero or weak positive CT-RH, HSIs considering humidity provide enhanced predictive power compared to Tair. Furthermore, the magnitude and timing of heat-related mortality measured by HSIs could differ largely from those associated with Tair in many cities. Our findings provide important insights into specific regions where humans are vulnerable to humid heat and can facilitate the further enhancement of heat-health alert systems., Peer reviewed

A reliable determination of equivalent black carbon (eBC) mass concentrations derived from filter absorption photometers (FAPs) measurements depends on the appropriate quantification of the mass absorption cross-section (MAC) for converting the absorption coefficient (babs) to eBC. This study investigates the spatial-temporal variability of the MAC obtained from simultaneous elemental carbon (EC) and babs measurements performed at 22 sites. We compared different methodologies for retrieving eBC integrating different options for calculating MAC including: locally derived, median value calculated from 22 sites, and site-specific rolling MAC. The eBC concentrations that underwent correction using these methods were identified as LeBC (local MAC), MeBC (median MAC), and ReBC (Rolling MAC) respectively. Pronounced differences (up to more than 50 %) were observed between eBC as directly provided by FAPs (NeBC; Nominal instrumental MAC) and ReBC due to the differences observed between the experimental and nominal MAC values. The median MAC was 7.8 ± 3.4 m2 g-1 from 12 aethalometers at 880 nm, and 10.6 ± 4.7 m2 g-1 from 10 MAAPs at 637 nm. The experimental MAC showed significant site and seasonal dependencies, with heterogeneous patterns between summer and winter in different regions. In addition, long-term trend analysis revealed statistically significant (s.s.) decreasing trends in EC. Interestingly, we showed that the corresponding corrected eBC trends are not independent of the way eBC is calculated due to the variability of MAC. NeBC and EC decreasing trends were consistent at sites with no significant trend in experimental MAC. Conversely, where MAC showed s.s. trend, the NeBC and EC trends were not consistent while ReBC concentration followed the same pattern as EC. These results underscore the importance of accounting for MAC variations when deriving eBC measurements from FAPs and emphasize the necessity of incorporating EC observations to constrain the uncertainty associated with eBC., This work was funded and supported within the framework of the Research Infrastructures Services Reinforcing AQ Monitoring Capacities in European Urban & Industrial AreaS (RI-URBANS) project. The RI-URBANS project (https://riurbans.eu/, contract 101036245), is a European H2020-Green Deal initiative that aims to provide comprehensive tools for the measurement and analysis of advanced AQ parameters (RI-URBANS, 2020). These parameters include eBC, ultrafine particles, and oxidative potential in urban environments, which will consequently allow for the enhanced assessment of AQ policies. RI-URBANS is implementing the ACTRIS (https://www.actris.eu/) strategy for the development of services for improving air quality in Europe. The authors would like to also thank the support from “Agencia Estatal de Investigación” from the Spanish Ministry of Science and Innovation under the project CAIAC (PID2019-108990RB-I00), AIRPHONEMA (PID2022-142160OB-I00), and the Generalitat de Catalunya (AGAUR, SGR-447). M. Savadkoohi would like to thank the Spanish Ministry of Science and Innovation for her FPI grant (PRE-2020-095498). This study is also partly funded by the National Institute for Health Research (NIHR) Health Protection Research Unit in Environmental Exposures and Health, a partnership between UK Health Security Agency (UKHSA) and Imperial College London, and the UK Natural Environment Research Council. The views expressed are those of the author(s) and not necessarily those of the NIHR, UKHSA or the Department of Health and Social Care. The work in Helsinki and Hyytiälä is supported by Academy of Finland flagship “Atmosphere and Climate Competence Center (ACCC), project numbers 337549, 337552, 334792, 328616, 345510 and the Technology Industries of Finland Centennial Foundation Urban Air Quality 2.0 project and European Commission via FOCI-project (grant number 101056783). The work performed in Rome (IT) was supported by ARPA Lazio, the regional Environmental Protection Agency. Measurements at Granada urban station were possible thanks to MCIN/AEI/10.13039/501100011033 and NextGenerationEU/PRTR under the projects PID2020-120015RB-I00 and PID2021-128757OB-I00, ACTRIS-España (CGL2017-90884REDT), and University of Granada Plan Propio through Excellence Research Unit Earth Science and Singular Laboratory AGORA (LS2022-1). Partial support of this work by the project “PANhellenic infrastructure for Atmospheric Composition and climatE change” (MIS 5021516) which is implemented under the Action “Reinforcement of the Research and Innovation Infrastructure”, funded by the Operational Programme “Competitiveness, Entrepreneurship and Innovation” (NSRF 2014-2020) and co-financed by Greece and the European Union (European Regional Development Fund). Partial funding was obtained by Slovenian ARRS/ARIS program P1-0385. Partial support for operating stations in France is received by ACTRIS-FR supported by French Ministery for research and Education and by France2030 initiative under project ANR-21-ESRE-0013. Elche data were possible thanks to the support of European Union NextGenerationEU/PRTR” (CAMBIO project, ref. TED2021-131336B-I00) and by the Valencian Regional Government (Generalitat Valenciana, CIAICO/2021/280 research project). This research was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the Large Research Infrastructure Support Project - ACTRIS Participation of the Czech Republic (ACTRIS-CZ LM2023030)., Peer reviewed

To examine the associations between characteristics of daily rainfall (intensity, duration, and frequency) and all cause, cardiovascular, and respiratory mortality., Peer reviewed

Chemicals, solvents, concentrations and participants information, results from statistical tests, error statistics, and additional outlier information (XLSX) Example workbook used by participants for reporting the results (XLSX) Supporting figures, detailed instrumental information for all participants, and reprocessing details (PDF), Nontargeted screening (NTS) utilizing liquid chromatography electrospray ionization high-resolution mass spectrometry (LC/ESI/HRMS) is increasingly used to identify environmental contaminants. Major differences in the ionization efficiency of compounds in ESI/HRMS result in widely varying responses and complicate quantitative analysis. Despite an increasing number of methods for quantification without authentic standards in NTS, the approaches are evaluated on limited and diverse data sets with varying chemical coverage collected on different instruments, complicating an unbiased comparison. In this interlaboratory comparison, organized by the NORMAN Network, we evaluated the accuracy and performance variability of five quantification approaches across 41 NTS methods from 37 laboratories. Three approaches are based on surrogate standard quantification (parent-transformation product, structurally similar or close eluting) and two on predicted ionization efficiencies (RandFor-IE and MLR-IE). Shortly, HPLC grade water, tap water, and surface water spiked with 45 compounds at 2 concentration levels were analyzed together with 41 calibrants at 6 known concentrations by the laboratories using in-house NTS workflows. The accuracy of the approaches was evaluated by comparing the estimated and spiked concentrations across quantification approaches, instrumentation, and laboratories. The RandFor-IE approach performed best with a reported mean prediction error of 15× and over 83% of compounds quantified within 10× error. Despite different instrumentation and workflows, the performance was stable across laboratories and did not depend on the complexity of water matrices., Peer reviewed