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Pentavalent U reactivity impacts U isotopic fractionation during reduction by magnetite

Original data pertaining to the manuscript 'Pentavalent U reactivity impacts U isotopic fractionation during reduction by magnetite' published in Environmental Science and Technology by Zezhen Pan, Luca Loreggian, Yvonne Roebbert, Barbora Bartova, Myrtille O.J.Y. Hunault, Stefan Weyer, Rizlan Bernier-Latmani. <a href="https://doi.org/10.1021/acs.est.3c10324">https://doi.org/10.1021/acs.est.3c10324</a>

Data from: Climate change is predicted to impact the global distribution and richness of pines (genus Pinus) by 2070

Aim: Climate change is altering habitat suitability for many organisms and modifying species ranges at a global scale. Here we explored the impact of climate change on 112 pine species (Pinus), fundamental elements of Northern terrestrial ecosystems. Location: Global. Methods: We applied a novel methodology for species distribution modelling that considers uncertainty in climatic projections and taxon sampling, and incorporates elements of species' recent evolutionary history. We based our niche calculations on climate and soil data and computed projections across multiple algorithms and IPCC scenarios, which were ensembled into one single suitability map. We then used phylogenetic methods to account for recent evolution in climatic requirements by estimating the evolution of climatic niche. Edaphoclimatic and evolutionary analyses were then combined to calibrate the projections in areas showing high uncertainty. We validated our models using naturalized occurrences of invasive pine species. Results: Our models predicted that by 2070 most pine species (58%) might face important reductions of habitat suitability, potentially leading to range losses and a decrease in species richness, particularly in some regions such as the Mediterranean Basin and South North America, albeit migration might mitigate these shifts in some cases. In contrast, our projections showed increased habitat suitability for approx. 20% of species, which may undergo range expansions under climate change. Moreover, the consideration of recent evolutionary trends modified projected scenarios, decreasing range loss and increasing range expansion for some species. The independent validation endorsed our models for many species and the influence of recent evolution in some cases. Conclusions: We predict that climate change will impose drastic changes in pine distribution and diversity across biogeographical regions, but the magnitude and direction of change will vary significantly across regions and taxa. Species-level responses are likely to be influenced by regional conditions and the recent evolutionary history of each taxon.

opencc-by-4.0Mar 2024View details →

Figure 4 in Grafting increases superoxide dismutase and catalase activity to overcome the impact of the two-spotted spider mite on eggplant growth and productivity

Figure 4 Influence of TSSM infestation density on CAT (A) and SOD (B) enzyme activities, as well

opencc-by-4.0Mar 2024View details →

Figure 2 in Grafting increases superoxide dismutase and catalase activity to overcome the impact of the two-spotted spider mite on eggplant growth and productivity

Figure 2 Average total number of TSSM in grafted and non-grafted eggplants. Means followed by

opencc-by-4.0Oct 2023View details →

Impact of open bioinformatics resources on industry (worked example for an ELIXIR deposition database)

Open the record for dataset details and reuse information.

The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study.

Data used to perform statistical analysis in "The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study.".

Supplementary materials for the manuscript entitled: "Impacts of creatine on the health of elderly individuals: a bibliometric study"

These images/figures complement what was presented in the results of the manuscript "Impacts of creatine on the health of elderly individuals: a bibliometric study.

opencc-zeroDec 2023View details →

Data from: Land consolidation impacts the abundance and richness of natural enemies but not pests in small-holder rice systems

Traditional small-holder agricultural landscapes in southern China are being consolidated to increase mechanization levels in agriculture, but it is unclear how this influences rice arthropod communities in these landscapes. Here, based on a six-year study in 20 rice fields, we evaluated the impact of land consolidation on arthropod communities, crop damage, and rice yield. We also analyzed how effects of land consolidation were moderated by the proportion of large semi-natural habitat patches and insecticide use. We found that, compared to consolidated fields, rice fields in traditional farmlands had a higher abundance and family richness of natural enemies, but a similar abundance of rice pests. Land consolidation did not significantly interact with the proportion of large semi-natural habitat patches or insecticide application, in terms of affecting arthropods. The proportion of semi-natural habitat reduced the negative effect of insecticide application on key rice pests, but no equivalent interaction occurred for natural enemies. Syntheses and Applications: Land consolidation can have negative impacts on the abundance and richness of natural enemies, but not pests in small-holder rice systems, and these impacts are independent from insecticide application and proportion of semi-natural habitat in the landscape. We recommend the implementation of agri-environmental measures or re-establishing field margin vegetation during the consolidation process to mitigate these potential negative effects, although trade-off between enhancing crop yields and preserving rice arthropod biodiversity should be considered. We encourage future research to focus on the detailed assessment of the function of linear habitats for a better understanding of the impact of land consolidation.

Exploring the impact of varied background on quantification of soil carbon content using microwave and millimeter wave signal reflectance

The quantification of soil carbon content is paramount to the advancement of soil carbon management practices, serving as the bedrock for the development and implementation of various carbon-negative and carbon-neutral technologies. These technologies are crucial in the battle against climate change and in enhancing soil health to boost agricultural productivity. Therefore, we employ an innovative sensor technology comprised of a compact array, including 18 pairs of radar transmitters (TX) and receivers (RX) within a microwave radar array sensor, alongside a configuration of 20 TX and 20 RX pairs in a millimeter wave radar array sensor. For this kind of setup to work, the sensors need to be carefully tested to make sure they can capture changes in the soil's carbon content over time and space. This dataset presents an exhaustive series of raw data aimed at evaluating the efficacy of these two sensor technologies in detecting soil carbon content. A distinctive aspect of this study is the examination of sensor performance across four divergent backgrounds—glass, metal, sponge, and wood surfaces—to ascertain the influence of background material on radar wave reflectance and, consequently, measurement accuracy. Furthermore, the investigation extends to the analysis of sensing distance as a critical parameter for classification accuracy, with the microwave radar array sensor tested across distances ranging from 1 inch to 4 inches and the millimeter wave radar sensor evaluated at intervals of 2.5 inches, 5 inches, 7.5 inches, and 10 inches. By providing a comprehensive dataset on the performance evaluation of cutting-edge sensor technologies, this study aims to facilitate further advancements in the field of soil carbon management, ultimately supporting the global effort to combat climate change through innovative and sustainable agricultural practices.

Modelling 21st-century refugia and the impact of climate change on Amazonia's largest primates

Edaphic and vegetation conditions can render climatically suitable sites inadequate for a species to persist, constraining the amount of suitable habitat and the possibilities of tracking preferred climatic conditions as they shift in response to climate change. We combined climatic and remotely sensed data to model current and future distributions of nine extant taxa of ateline primates across the Amazon basin. We used the models to identify and quantify potential range changes and refugia of suitable habitats from the present to the latter half of the 21st century. We applied an ensemble forecasting approach for species distribution models using 596 spatially rarefied occurrences. We parameterised these models by combining reflectance data from a basin‐wide Landsat TM/ETM+ image composite, three sets of bioclimatic layers containing data for the current period, and two different (moderate and worst-case) climate change scenarios for 2041-2070. Eight out of nine taxa are likely to experience pronounced range losses, with seven of them predicted to lose over 50% of their currently suitable habitats irrespective of climate change scenarios. Modelled ateline richness exhibited a broad decrease in high-richness areas and a possible redistribution along the northernmost parts of western Amazonia. Refugia from 21st-century climate change for the whole complex was mostly concentrated in western Amazonia, especially in its southern part. We identified hotspots of vulnerability to climate change and 21st-century refugia for all Amazonian atelines while accounting for habitat characteristics that are important to guarantee the continued existence of suitable habitats for these strictly arboreal taxa. Increasing the understanding of climate change impacts on Amazonia's largest primates can help to inform spatial conservation planning decisions and management to sustain forest-dwelling biodiversity over large areas such as Amazonia.

Environmental impact assessment for large carnivores: a methodological review of the wolf (Canis lupus) monitoring in Portugal

The continuous growth of the global human population results in increased use and change of landscapes, with infrastructures like transportation or energy facilities, being a particular risk to large carnivores. Environmental Impact Assessments were established to identify the probable environmental consequences of any new proposed project, find ways to reduce impacts, and provide evidence to inform decision making and mitigation. Portugal has a wolf population of around 300 individuals, designated as an endangered species with full legal protection. They occupy the northern mountainous areas of the country which has also been the focus of new human infrastructures over the last 20 years. Consequently, dozens of wolf monitoring programs have been established to evaluate wolf population status, to identify impacts, and to inform appropriate mitigation or compensation measures. We reviewed Portuguese wolf monitoring programs to answer four key questions: do wolf programs examine adequate biological parameters to meet monitoring objectives? is the study design suitable for measuring impacts? are data collection methods and effort sufficient for the stated inference objectives? and do statistical analyses of the data lead to robust conclusions? Overall, we found a mismatch between the stated aims of wolf monitoring and the results reported, and often neither aligns with the existing national wolf monitoring guidelines. Despite the vast effort expended and the diversity of methods used, data analysis makes almost exclusive use of relative indices or summary statistics, with little consideration of the potential biases that arise through the (imperfect) observational process. This makes comparisons of impacts across space and time difficult and is therefore unlikely to contribute to a general understanding of wolf responses to infrastructure-related disturbance. We recommend the development of standardized monitoring protocols and advocate for the use of statistical methods that account for imperfect detection to guarantee accuracy, reproducibility, and efficacy of the programs.

The Pontifical Bolivarian University and 2030 Agenda: Scientific production, access modalities, and social media impact.

The 2030 Agenda and SDGs promote global resilience. Universities play a crucial role in their implementation through research and education. Recent studies analyze SDG-related scientific production, but evaluating the accessibility and social impacts of these results remains lacking. The article aims to analyze the intersection between SDGs, open access, and social impact of science, based on an analysis of PBU academic production in Colombia. A mixed-method approach is employed, combining quantitative and qualitative elements with scientometric techniques and data mining analysis, as well as big data from the perspective of Social Sciences. PBU scientific production analysis reveals increased research activity, with most publications available in open access. Thematic focuses such as health, sustainable development, and energy are highlighted. Thematic diversity reflects a multidisciplinary approach, but there is low production in key areas of sustainable development. Social media attention highlights topics like health, equality, and energy. Open access shows a strong correlation with online attention, emphasizing its importance in amplifying research impact. Although closed research also receives online attention, especially from academics. Greater focus is needed on inclusive publishing strategies and social media dissemination to address global challenges.

Olfaction in the Anthropocene: NO3 negatively impacts floral scent and nocturnal pollination

There is growing concern about sensory pollutants impacting ecological communities. Anthropogenically enhanced oxidants (O3 and NO3) rapidly degrade floral scents, potentially reducing pollinator attraction to flowers. However, the physiological and behavioral impacts on pollinators and plant fitness are unknown. Using a nocturnal flower-moth system, we find that atmospheric concentrations of NO3, but not O3, eliminate flower visitation by moths, and it is the reaction of NO3 to a subset of monoterpenes that reduces the scent's attractiveness. Global atmospheric models of floral scent oxidation reveal that pollinators in certain urban areas may have a reduced ability to perceive and navigate to flowers. These results illustrate the impact of anthropogenic pollutants on an animal's olfactory ability and indicate that such pollutants may be critical regulators of global pollination.

Deciphering the impacts of main inflowing rivers on dissolved organic matter in Lake Daye using isotopes, optical spectroscopy, and FT-ICR-MS during non-flood season

The uploaded data include water quality data, isotopes, DOM fluorescence index and FT ICR MS data of Daye Lake and its inflowing rivers.

Spatiotemporal dynamics of grassland aboveground biomass in northern China and the alpine region: Impacts of climate change and human activities

We employed CASA model to estimate grassland Net Primary Productivity and aboveground biomass A(AGB) from meteorological and GIMMS Normalized Difference Vegetation Index (NDVI) remote sensing  data in northern China. We analyzed the dynamics of grassland AGB and impacts climate change and human activites.

opencc-by-4.0Oct 2024View details →

eDNA replicates, polymerase and amplicon size impact inference of richness across habitat

Environmental DNA-based monitoring has been increasingly used in the last decade to monitor biodiversity in aquatic and terrestrial systems. Molecular-based surveys now allow quick and reliable production of baseline knowledge of species community composition on a large scale, allowing better understanding of ecosystem function and mitigation of stressors linked to anthropogenic activities. Despite this, technical hurdles often remain, and the impact of replicates, PCR polymerases and amplicon size on the recovered species richness is still poorly understood. Here, we conducted a large controlled experiment, with bulk samples collected from terrestrial, marine and freshwater environments to assess the impact of natural and technical replicates, PCR polymerases with different degrees of fidelity or proofreading activity, as well as amplicon size on species richness recovery across habitats. In this study, we consistently found variations in sample species richness depending on PCR polymerase choice. We further demonstrate the dissimilar impacts between natural and technical replicates on species richness recovery, and the necessity of increasing natural replications in eDNA based surveys. We highlight the benefits and limitations of replication strategies, polymerase choice and amplicon size across terrestrial, marine and freshwater habitats, and provide recommendations to increase the reliability of future eDNA-based metabarcoding studies.

Spatiotemporal dynamics of grassland aboveground biomass in northern China and the alpine region: Impacts of climate change and human activities

Pleiotropic Expression Quantitative Trait Loci Are Enriched in Enhancers and Transcription Factor Binding Sites and Impact More Genes

This dataset comprises two files that accompany the article (link to be added upon publication). <h2>1. gwas2eqtl_colocalization_full.tar.gz</h2> This file contains the complete colocalization dataset generated using the code from the following GitHub repository: gwas2eqtl. This dataset is used as input for the pleiotropic eQTL analysis available at gwas2eqtl_pleiotropy, which produces the figures in the article. File structure: <blockquote> . └── gwas417     └── coloc         ├── ebi-a-GCST000998         │   └── pval_5e-08         │       └── r2_0.1         │           └── kb_1000         │               └── window_1000000         │                   ├── Alasoo_2018_ge_macrophage_IFNg+Salmonella.tsv         │                   ├── Alasoo_2018_ge_macrophage_IFNg.tsv ... </blockquote> Each TSV file contains the following columns: <blockquote> chrom    pos    rsid    ref    alt    eqtl_gene_id    gwas_beta    gwas_pval    gwas_id    eqtl_beta    eqtl_pval    eqtl_id    PP.H4.abf    SNP.PP.H4    nsnps    PP.H3.abf    PP.H2.abf    PP.H1.abf    PP.H0.abf    coloc_variant_id    coloc_region 1    109272258    rs4970834    C    T    ENSG00000168765    -0.12874.25001047052626e-09    ebi-a-GCST000998    -0.250697    0.0893351    Alasoo_2018_ge_macrophage_IFNg+Salmonella    0.108283426725895    0.0520205502224409    6    0.000552728832012655    2.09397277427793e-07    0.890881419183881    0.000282215860934432    1_109279544_G_A    1:108779544-109779543 1    109274968    rs12740374    G    T    ENSG00000168765    -0.103341    1.63998546891446e-09    ebi-a-GCST000998    -0.197397    0.172673Alasoo_2018_ge_macrophage_IFNg+Salmonella    0.108283426725895    0.0857585178966856    6    0.000552728832012655    2.09397277427793e-07    0.890881419183881    0.000282215860934432    1_109279544_G_A    1:108779544-109779543 1    109275216    rs660240    T    C    ENSG00000168765    0.1044492.78997299740827e-09    ebi-a-GCST000998    0.214165    0.139318    Alasoo_2018_ge_macrophage_IFNg+Salmonella    0.108283426725895    0.0557749486050279    6    0.000552728832012655    2.09397277427793e-07    0.890881419183881    0.000282215860934432    1_109279544_G_A    1:108779544-109779543 1    109275684    rs629301    G    T    ENSG00000168765    0.1054716.129993302249e-10    ebi-a-GCST000998    0.197397    0.172673    Alasoo_2018_ge_macrophage_IFNg+Salmonella    0.108283426725895    0.22229240584331    6    0.000552728832012655    2.09397277427793e-07    0.890881419183881    0.000282215860934432    1_109279544_G_A    1:108779544-109779543 1    109278889    rs602633    T    G    ENSG00000168765    0.1034352.15998134341707e-09    ebi-a-GCST000998    0.226329    0.102673    Alasoo_2018_ge_macrophage_IFNg+Salmonella    0.108283426725895    0.0782482718431504    6    0.000552728832012655    2.09397277427793e-07    0.890881419183881    0.000282215860934432    1_109279544_G_A    1:108779544-109779543 ... </blockquote>   The dataset provides colocalization statistics for GWAS-eQTL pairs, including posterior probabilities and variant annotations. <h2>2. gwas2eqtl0.1.3.tsv.gz</h2> This file is a filtered version of the colocalization dataset, refined based on cutoffs of PP.H4.abf ≥ 0.75 and SNP.PP.H4 ≥ 0. This subset is utilized in the gwas2eqtl web application for data visualization. Sample Columns: <blockquote> chrom   pos19   pos38   cytoband        rsid    ref     alt     gwas_trait      gwas_class      gwas_beta       eqtl_gene_symbol        eqtl_beta       eqtl_id eqtl_gene_id    gwas_id gwas_pval       eqtl_pval          pp_h4_abf       snp_pp_h4       tophits_variant_id      nsnps 1       1163804 1228424 1p36.33 rs7515488       C       T       Inflammatory bowel disease      Autoimmune dis. 0.0874308       ANKRD65 -0.175816       BrainSeq_ge_brain       ENSG00000235098 ebi-a-GCST003043           2.85292266979231e-10    0.000841046     0.978425254116226       6.18454060493069e-12    1_1312114_T_C   3 1       1163804 1228424 1p36.33 rs7515488       C       T       Inflammatory bowel disease      Autoimmune dis. 0.0874308       ANKRD65 -0.175816       BrainSeq_ge_brain       ENSG00000235098 ieu-a-294       2.85292266979231e-10       0.000841046     0.974019788384412       7.52286530905187e-12    1_1312114_T_C   4 1       1163804 1228424 1p36.33 rs7515488       C       T       Inflammatory bowel disease      Autoimmune dis. 0.0874308       ANKRD65 -0.293529       CommonMind_ge_DLPFC_naive       ENSG00000235098 ebi-a-GCST003043   2.85292266979231e-10    2.30452e-06     0.953333690803618       6.9758581004380506e-15  1_1312114_T_C   6 1       1163804 1228424 1p36.33 rs7515488       C       T       Inflammatory bowel disease      Autoimmune dis. 0.0874308       ANKRD65 -0.293529       CommonMind_ge_DLPFC_naive       ENSG00000235098 ieu-a-294          2.85292266979231e-10    2.30452e-06     0.951092499048109       7.0876793540547e-15     1_1312114_T_C   7 1       1163804 1228424 1p36.33 rs7515488       C       T       Inflammatory bowel disease      Autoimmune dis. 0.0874308       ANKRD65 -0.510549       FUSION_ge_adipose_naive ENSG00000235098 ebi-a-GCST003043           2.85292266979231e-10    1.2212e-06      0.974412793352836       1.70246427912903e-11    1_1312114_T_C   6 </blockquote>   This filtered dataset focuses on high-confidence colocalization events for functional exploration of genetic associations and regulatory mechanisms.

Radiative and climatic impacts of coarse aerosols scattering in the long-wave spectrum

The data deposited on the site concern the output of the ARPEGE climate model at monthly resolution. This concerns the different variables used and analysed in the article. They include simulations with LW aerosol scattering (LWAS) and without aerosol scattering (NOLWAS).  The data description, resolution and information on fields outputs are available in each NetCDF file submitted.

Impact of host climate model on contrail cirrus effective radiative forcing estimates

Data to reproduce the figures in the article 'Impact of host climate model on contrail cirrus effective radiative forcing estimates'.