Enabling quantitative comparison of wastewater surveillance data across methods through data standardization without method standardization.

Wastewater surveillance for COVID-19 and other pathogens has expanded globally. Rapid development and availability of various assays has facilitated swift adoption of wastewater surveillance in localities with diverse requirements. However, it presents challenges in comparing data due to methodological variations. Using surrogates for recovery control to address quantification biases has limitations as the recovery of surrogates and target pathogens often diverges significantly. Using non-spiked field-obtained wastewater samples as reference samples in an inter-lab study, this article proposes a straightforward, inexpensive, and most representative way of measuring relative quantification biases that occurs in analyzing field wastewater samples. Five labs participated in the study, testing five types of assays, resulting in a total of seven methods of lab-assay combinations. Each method quantified the concentration of SARS-CoV-2 and pepper mild mottle virus (PMMoV) RNAs in two types of reference samples. The results showed significant variations in quantification among methods, but the relative quantification biases were consistent across reference samples. This suggests that relative quantification biases measured with the reference samples are contingent on methods rather than wastewater samples, and that the once-determined method-specific factors can be used to correct for quantification biases in routine wastewater surveillance results. Subsequent data standardization was performed on year-long observational data from seven cities, serving as a preliminary validation of the proposed approach. This process demonstrated the potential for quantitative data comparison through the bias correction factors obtained in this inter-lab study.

The effect of multiband sequences on statistical outcome measures in functional magnetic resonance imaging using a gustatory stimulus.

Recent technical developments have led to the invention of multiband functional magnetic resonance imaging (fMRI) sequences that allow for faster sampling rates. However, some studies have highlighted problems with these sequences, leading to a decreased temporal signal-to-noise ratio (tSNR). In addition, this temporal noise may interfere with detecting reward-related responses in mesolimbic regions. The blood-oxygen-level-dependent signal utilized in the majority of fMRI measurements is relatively slow. Furthermore, the cerebral response to gustatory stimuli would also be relatively slow. Therefore, given the temporal noise issues with multiband sequences, it is unclear whether multiband sequences are necessary for fMRI studies using gustatory stimuli. We thus conducted an fMRI experiment using a gustatory stimulus to investigate the effects of multiband sequences and increased sampling rates on statistical outcome measures. A single-band sequence with a repetition time (TR) of 2 s of phantom fMRI data and gustatory fMRI data from the gustatory regions exhibited the highest tSNR, although the tSNR of this sequence of gustatory fMRI was not statistically different from tSNR of multiband sequences with a TR of 2 s in any of the selected region of interests. Conventional general linear model analysis of fMRI showed that single-band sequences are more advantageous than multiband sequences for detecting brain responses to gustatory stimuli in the primary gustatory cortex. In addition, a Bayesian data comparison showed that data derived from a single-band sequence with a TR of 2 s was optimal for inferring neuronal connectivity in gustatory processing. Therefore, a conventional single-band sequence with a TR of 2 s is more appropriate for fMRI with gustatory stimuli. Image acquisition sequences should be selected aligned with the study objectives and target brain regions.

Epid data explorer: A visualization tool for exploring and comparing spatio-temporal epidemiological data.

The analysis of large sets of spatio-temporal data is a fundamental challenge in epidemiological research. As the quantity and the complexity of such kind of data increases, automatic analysis approaches, such as statistics, data mining, machine learning, etc., can be used to extract useful information. While these approaches have proven effective, they require a priori knowledge of the information being sought, and some interesting insights into the data may be missed. To bridge this gap, information visualization offers a set of techniques for not only presenting known information, but also exploring data without having a hypothesis formulated beforehand. In this paper, we introduce Epid Data Explorer (EDE), a visualization tool that enables exploration of spatio-temporal epidemiological data. EDE allows easy comparisons of indicators and trends across different geographical areas and times. It facilitates this exploration through ready-to-use pre-loaded datasets as well as user-chosen datasets. The tool also provides a secure architecture for easily importing new datasets while ensuring confidentiality. In two use cases using data associated with the COVID-19 epidemic, we demonstrate the substantial impact of implemented lockdown measures on mobility and how EDE allows assessing correlations between the spread of COVID-19 and weather conditions.

[Comparison study of the new national standard infant formula and dietary reference intakes 2023].

OBJECTIVE: To compare the relationship between the nutrient limit in new national standard Infant Formula(GB 10765-2021)(New GB)and the corresponding nutrients in Dietary Reference Intakes for China 2023(DRIs 2023), to determine the scientific and reasonable base of each nutrient in New GB, and provide supports for future revision of it. METHODS: Using a data conversion method, the adequate intake(AI) of each nutrient recommended by DRIs 2023 for infants aged 0-6 months and the nutrient limit in the New GB were input into the Excel table. Based on authoritative data on the representative weight of 0-6 month infants and the recommended energy values, the conversion was done, the ratio of the lower limit of each nutrient in New GB and the AI of corresponding nutrient, as well as the ratio of the upper limit of nutrients in New GB and their tolerable upper intake level(UL) were calculated. RESULTS: For most nutrients in New GB for infant formula, the ratio of the lower limit to their AI is close to 1. For those nutrients with a large ratio of the lower limit to AI, or with a ratio of the upper limit to UL were greater than 1, detail analysis was conducted. CONCLUSION: Based on DRIs 2023, the nutrient limit for each nutrient in New GB for infant formula was scientific and reasonable. For some nutrients with a large ratio, more studies should be done in the future to determine whether the limit in National Standard need to be adjusted.

Comparing and integrating US COVID-19 data from multiple sources with anomaly detection and repairing.

Over the past few months, the outbreak of Coronavirus disease (COVID-19) has been expanding over the world. A reliable and accurate dataset of the cases is vital for scientists to conduct related research and policy-makers to make better decisions. We collect the United States COVID-19 daily reported data from four open sources: the New York Times, the COVID-19 Data Repository by Johns Hopkins University, the COVID Tracking Project at the Atlantic, and the USAFacts, then compare the similarities and differences among them. To obtain reliable data for further analysis, we first examine the cyclical pattern and the following anomalies, which frequently occur in the reported cases: (1) the order dependencies violation, (2) the point or period anomalies, and (3) the issue of reporting delay. To address these detected issues, we propose the corresponding repairing methods and procedures if corrections are necessary. In addition, we integrate the COVID-19 reported cases with the county-level auxiliary information of the local features from official sources, such as health infrastructure, demographic, socioeconomic, and environmental information, which are also essential for understanding the spread of the virus.

The written history of plant phenology: shaping primary sources for secondary publications.

Phenological research establishes the science of nature's natural calendar. This research, the monitoring and analysis of seasonal rhythms of plants and animals, is commonly based on citizen science data. Such data may be digitized from primary sources provided by the citizen scientist's original phenological diaries. Secondary data sources are formed by historical publications (for example, yearbooks and climate bulletins). While primary data has the advantage of first-hand notetaking, its digitization may, in practice, be time-consuming. Contrastingly, secondary data can contain well-organized typesetting, making digitization less labour-intensive. However, secondary data can be reshaped by the motivations of the historical actors who were collating the data. This study compared data from 1876-1894 gathered originally by citizen scientists (primary data) and the secondary data founded upon the previous primary data, later published by the Finnish Society of Sciences and Letters as a series of phenological yearbooks. In the secondary data, the recorded numbers of taxa and their phenological stages appeared to be fewer and phenological events standardized, with an increased prevalence of agricultural phenology (at the cost of autumn phenology). Moreover, it seems the secondary data had been screened for potential outliers. While secondary sources may provide current phenologists with coherent sets of relevant data, future users must be aware of potential data reshaping resulting from the preferences of historical actors. These actors may weigh and limit the original observations according to their own criteria and preferences.

An information-theoretic analysis of resting-state versus task fMRI.

Resting-state fMRI is an increasingly popular alternative to task-based fMRI. However, a formal quantification of the amount of information provided by resting-state fMRI as opposed to active task conditions about neural responses is lacking. We conducted a systematic comparison of the quality of inferences derived from a resting-state and a task fMRI paradigm by means of Bayesian Data Comparison. In this framework, data quality is formally quantified in information-theoretic terms as the precision and amount of information provided by the data on the parameters of interest. Parameters of effective connectivity, estimated from the cross-spectral densities of resting-state- and task time series by means of dynamic causal modelling (DCM), were subjected to the analysis. Data from 50 individuals undergoing resting-state and a Theory-of-Mind task were compared, both datasets provided by the Human Connectome Project. A threshold of very strong evidence was reached in favour of the Theory-of-Mind task (>10 bits or natural units) regarding information gain, which could be attributed to the active task condition eliciting stronger effective connectivity. Extending these analyses to other tasks and cognitive systems will reveal whether the superior informative value of task-based fMRI observed here is case specific or a more general trend.

Comparison of paediatric infectious disease deaths in public sector health facilities using different data sources in the Western Cape, South Africa (2007-2021).

BACKGROUND: Routinely collected population-wide health data are often used to understand mortality trends including child mortality, as these data are often available more readily or quickly and for lower geographic levels than population-wide mortality data. However, understanding the completeness and accuracy of routine health data sources is essential for their appropriate interpretation and use. This study aims to assess the accuracy of diagnostic coding for public sector in-facility childhood (age < 5 years) infectious disease deaths (lower respiratory tract infections [LRTI], diarrhoea, meningitis, and tuberculous meningitis [TBM]) in routine hospital information systems (RHIS) through comparison with causes of death identified in a child death audit system (Child Healthcare Problem Identification Programme [Child PIP]) and the vital registration system (Death Notification [DN] Surveillance) in the Western Cape, South Africa and to calculate admission mortality rates (number of deaths in admitted patients per 1000 live births) using the best available data from all sources. METHODS: The three data sources: RHIS, Child PIP, and DN Surveillance are integrated and linked by the Western Cape Provincial Health Data Centre using a unique patient identifier. We calculated the deduplicated total number of infectious disease deaths and estimated admission mortality rates using all three data sources. We determined the completeness of Child PIP and DN Surveillance in identifying deaths recorded in RHIS and the level of agreement for causes of death between data sources. RESULTS: Completeness of recorded in-facility infectious disease deaths in Child PIP (23/05/2007-08/02/2021) and DN Surveillance (2010-2013) was 70% and 69% respectively. The greatest agreement in infectious causes of death were for diarrhoea and LRTI: 92% and 84% respectively between RHIS and Child PIP, and 98% and 83% respectively between RHIS and DN Surveillance. In-facility infectious disease admission mortality rates decreased significantly for the province: 1.60 (95% CI: 1.37-1.85) to 0.73 (95% CI: 0.56-0.93) deaths per 1000 live births from 2007 to 2020. CONCLUSION: RHIS had accurate causes of death amongst children dying from infectious diseases, particularly for diarrhoea and LRTI, with declining in-facility admission mortality rates over time. We recommend integrating data sources to ensure the most accurate assessment of child deaths.

Recognition Rate Advancement and Data Error Improvement of Pathology Cutting with H-DenseUNet for Hepatocellular Carcinoma Image.

Due to the fact that previous studies have rarely investigated the recognition rate discrepancy and pathology data error when applied to different databases, the purpose of this study is to investigate the improvement of recognition rate via deep learning-based liver lesion segmentation with the incorporation of hospital data. The recognition model used in this study is H-DenseUNet, which is applied to the segmentation of the liver and lesions, and a mixture of 2D/3D Hybrid-DenseUNet is used to reduce the recognition time and system memory requirements. Differences in recognition results were determined by comparing the training files of the standard LiTS competition data set with the training set after mixing in an additional 30 patients. The average error value of 9.6% was obtained by comparing the data discrepancy between the actual pathology data and the pathology data after the analysis of the identified images imported from Kaohsiung Chang Gung Memorial Hospital. The average error rate of the recognition output after mixing the LiTS database with hospital data for training was 1%. In the recognition part, the Dice coefficient was 0.52 after training 50 epochs using the standard LiTS database, while the Dice coefficient was increased to 0.61 after adding 30 hospital data to the training. After importing 3D Slice and ITK-Snap software, a 3D image of the lesion and liver segmentation can be developed. It is hoped that this method could be used to stimulate more research in addition to the general public standard database in the future, as well as to study the applicability of hospital data and improve the generality of the database.

Statistical and Proactive Analysis of an Inter-Laboratory Comparison: The Radiocarbon Dating of the Shroud of Turin.

We review the sampling and results of the radiocarbon dating of the archaeological cloth known as the Shroud of Turin, in the light of recent statistical analyses of both published and raw data. The statistical analyses highlight an inter-laboratory heterogeneity of the means and a monotone spatial variation of the ages of subsamples that suggest the presence of contaminants unevenly removed by the cleaning pretreatments. We consider the significance and overall impact of the statistical analyses on assessing the reliability of the dating results and the design of correct sampling. These analyses suggest that the 1988 radiocarbon dating does not match the current accuracy requirements. Should this be the case, it would be interesting to know the accurate age of the Shroud of Turin. Taking into account the whole body of scientific data, we discuss whether it makes sense to date the Shroud again.

[Changing trend in prognosis of primary hypopharyngeal carcinoma and reason analysis: date comparison of 2003-2007 and 2010-2014 in a single centre].

Objective: To explore changing trend in prognosis of primary hypopharyngeal carcinoma and to analyze the reasons at the Eye, Ear, Nose and Throat Hospital of Fudan University. Methods: We retrospectively analyzed the clinical data of 461 patients with primary hypopharyngeal carcinoma treated at the Eye, Ear, Nose and Throat Hospital of Fudan University from 2003 to 2007 (Group 1) and 2010 to 2014 (Group 2) according to the inclusion criteria. 142 from Group 1, including 133 males and 9 females, rangedfrom 38 to 82 years old and 319 from Group 2, including 313 males and 6 females, ranged from 39 to 81 years old, were included in this work. The laryngeal function preservation rate, survival outcome, application and effect of pre-and post-operative adjuvant therapy were compared. SPSS 24.0 was used for statistical analyses. Results: There were 62 patients with early disease (T1-2N0) including 18 in Group 1 and 44 in Group 2, in whom 3 (16.7%) underwent surgical procedures with laryngeal function preservation in Group 1, while, 30 (68.2%) underwent laryngeal function preservation surgery in Group 2. The laryngeal function preservation rate showed an obviously upward trend in recent years (χ(2)=13.617, P<0.001), whereas, the recurrence-free survival rate (RFS) and overall survival rate (OS) showed no significant differences between two groups (P=0.469 and 0.808, respectively). Among the 399 patients with advanced disease, 124 were in Group 1 and 275 in Group 2. After propensity score matching (PSM) was used, the OS rate was significantly higher for Group 2 than Group 1 (P=0.017), while the application of laryngeal function preservation surgery was significantly higher in Group 2 (χ(2)=4.686, P=0.030). The application rates of preoperative adjuvant therapy and postoperative adjuvant chemotherapy were significantly higher in group 2 than in group 1 (χ(2)=5.687, P=0.017; χ(2)=19.407, P<0.001). Conclusion: The application of laryngeal function preserving surgery significantly increases the retention rate of laryngeal functions in patients with early-stage hypopharyngeal carcinoma, with similar long-term survival outcomes. The application of comprehensive treatment including preoperative adjuvant therapy and postoperative adjuvant treatments, especially postoperative chemoradiotherapy, shows an obvious increase in the function preservation rate and long-term survival in patients with advanced hypopharyngeal carcinoma.

Changing trend in prognosis of primary hypopharyngeal carcinoma and reason analysis: date comparison of 2003-2007 and 2010-2014 in a single centre / 中华耳鼻咽喉头颈外科杂志

To explore changing trend in prognosis of primary hypopharyngeal carcinoma and to analyze the reasons at the Eye, Ear, Nose and Throat Hospital of Fudan University. We retrospectively analyzed the clinical data of 461 patients with primary hypopharyngeal carcinoma treated at the Eye, Ear, Nose and Throat Hospital of Fudan University from 2003 to 2007 (Group 1) and 2010 to 2014 (Group 2) according to the inclusion criteria. 142 from Group 1, including 133 males and 9 females, rangedfrom 38 to 82 years old and 319 from Group 2, including 313 males and 6 females, ranged from 39 to 81 years old, were included in this work. The laryngeal function preservation rate, survival outcome, application and effect of pre-and post-operative adjuvant therapy were compared. SPSS 24.0 was used for statistical analyses. There were 62 patients with early disease (T1-2N0) including 18 in Group 1 and 44 in Group 2, in whom 3 (16.7%) underwent surgical procedures with laryngeal function preservation in Group 1, while, 30 (68.2%) underwent laryngeal function preservation surgery in Group 2. The laryngeal function preservation rate showed an obviously upward trend in recent years (χ(2)=13.617, 0.001), whereas, the recurrence-free survival rate (RFS) and overall survival rate (OS) showed no significant differences between two groups (0.469 and 0.808, respectively). Among the 399 patients with advanced disease, 124 were in Group 1 and 275 in Group 2. After propensity score matching (PSM) was used, the OS rate was significantly higher for Group 2 than Group 1 (0.017), while the application of laryngeal function preservation surgery was significantly higher in Group 2 (χ(2)=4.686, 0.030). The application rates of preoperative adjuvant therapy and postoperative adjuvant chemotherapy were significantly higher in group 2 than in group 1 (χ(2)=5.687, 0.017; χ(2)=19.407, 0.001). The application of laryngeal function preserving surgery significantly increases the retention rate of laryngeal functions in patients with early-stage hypopharyngeal carcinoma, with similar long-term survival outcomes. The application of comprehensive treatment including preoperative adjuvant therapy and postoperative adjuvant treatments, especially postoperative chemoradiotherapy, shows an obvious increase in the function preservation rate and long-term survival in patients with advanced hypopharyngeal carcinoma.

Changing trend in prognosis of primary hypopharyngeal carcinoma and reason analysis: date comparison of 2003-2007 and 2010-2014 in a single centre / 中华耳鼻咽喉头颈外科杂志

Objective@#To explore changing trend in prognosis of primary hypopharyngeal carcinoma and to analyze the reasons at the Eye, Ear, Nose and Throat Hospital of Fudan University.@*Methods@#We retrospectively analyzed the clinical data of 461 patients with primary hypopharyngeal carcinoma treated at the Eye, Ear, Nose and Throat Hospital of Fudan University from 2003 to 2007 (Group 1) and 2010 to 2014 (Group 2) according to the inclusion criteria. 142 from Group 1, including 133 males and 9 females, rangedfrom 38 to 82 years old and 319 from Group 2, including 313 males and 6 females, ranged from 39 to 81 years old, were included in this work. The laryngeal function preservation rate, survival outcome, application and effect of pre-and post-operative adjuvant therapy were compared. SPSS 24.0 was used for statistical analyses.@*Results@#There were 62 patients with early disease (T1-2N0) including 18 in Group 1 and 44 in Group 2, in whom 3 (16.7%) underwent surgical procedures with laryngeal function preservation in Group 1, while, 30 (68.2%) underwent laryngeal function preservation surgery in Group 2. The laryngeal function preservation rate showed an obviously upward trend in recent years (χ2=13.617, P<0.001), whereas, the recurrence-free survival rate (RFS) and overall survival rate (OS) showed no significant differences between two groups (P=0.469 and 0.808, respectively). Among the 399 patients with advanced disease, 124 were in Group 1 and 275 in Group 2. After propensity score matching (PSM) was used, the OS rate was significantly higher for Group 2 than Group 1 (P=0.017), while the application of laryngeal function preservation surgery was significantly higher in Group 2 (χ2=4.686, P=0.030). The application rates of preoperative adjuvant therapy and postoperative adjuvant chemotherapy were significantly higher in group 2 than in group 1 (χ2=5.687, P=0.017; χ2=19.407, P<0.001).@*Conclusion@#The application of laryngeal function preserving surgery significantly increases the retention rate of laryngeal functions in patients with early-stage hypopharyngeal carcinoma, with similar long-term survival outcomes. The application of comprehensive treatment including preoperative adjuvant therapy and postoperative adjuvant treatments, especially postoperative chemoradiotherapy, shows an obvious increase in the function preservation rate and long-term survival in patients with advanced hypopharyngeal carcinoma.

Intraguild predation enables coexistence of competing phytoplankton in a well-mixed water column.

Resource competition theory predicts that when two species compete for a single, finite resource, the better competitor should exclude the other. However, in some cases, weaker competitors can persist through intraguild predation, that is, by eating their stronger competitor. Mixotrophs, species that meet their carbon demand by combining photosynthesis and phagotrophic heterotrophy, may function as intraguild predators when they consume the phototrophs with which they compete for light. Thus, theory predicts that mixotrophy may allow for coexistence of two species on a single limiting resource. We tested this prediction by developing a new mathematical model for a unicellular mixotroph and phytoplankter that compete for light, and comparing the model's predictions with a laboratory experimental system. We find that, like other intraguild predators, mixotrophs can persist when an ecosystem is sufficiently productive (i.e., the supply of the limiting resource, light, is relatively high), or when species interactions are strong (i.e., attack rates and conversion efficiencies are high). Both our mathematical and laboratory models show that, depending upon the environment and species traits, a variety of equilibrium outcomes, ranging from competitive exclusion to coexistence, are possible.

Health Sciences Patron Preference for Library Spaces: A Multisite Observational Study.

Health sciences libraries are often challenged to make decisions regarding physical space allocation without quantitative data to support specific user preferences. This multisite, longitudinal study sought to answer the following questions related to academic health sciences libraries: (1) Which library spaces are popular with health sciences patrons? (2) How does time of day and allocated seating space affect patron choices? (3) What similarities and differences occur in space usage across four different health sciences libraries? Results suggest health sciences libraries must develop a nuanced understanding of their patrons' preferences to best serve patrons' needs regarding space allocation. Libraries can benefit from these types of methodological studies that target specific populations, supporting more informed space allocation decision making.

Modelling Climate and Societal Resilience in the Eastern Mediterranean in the Last Millennium.

This article analyses high-quality hydroclimate proxy records and spatial reconstructions from the Central and Eastern Mediterranean and compares them with two Earth System Model simulations (CCSM4, MPI-ESM-P) for the Crusader period in the Levant (1095-1290 CE), the Mamluk regime in Transjordan (1260-1516 CE) and the Ottoman crisis and Celâlî Rebellion (1580-1610 CE). During the three time intervals, environmental and climatic stress tested the resilience of complex societies. We find that the multidecadal precipitation and drought variations in the Central and Eastern Mediterranean cannot be explained by external forcings (solar variations, tropical volcanism); rather they were driven by internal climate dynamics. Our research emphasises the challenges, opportunities and limitations of linking proxy records, palaeoreconstructions and model simulations to better understand how climate can affect human history.

Numerical simulations of debris drift from the Great Japan Tsunami of 2011 and their verification with observational reports.

A suite of five ocean models is used to simulate the movement of floating debris generated by the Great Japan Tsunami of 2011. This debris was subject to differential wind and wave-induced motion relative to the ambient current (often termed "windage") which is a function of the shape, size, and buoyancy of the individual debris items. Model solutions suggest that during the eastward drift across the North Pacific the debris became "stratified" by the wind so that objects with different windages took different paths: high windage items reached North America in large numbers the first year, medium windage items recirculated southwest toward Hawaii and Asia, and low windage items collected in the Subtropical Gyre, primarily in the so-called "garbage patch" area located northeast of Hawaii and known for high concentrations of microplastics. Numerous boats lost during the tsunami were later observed at sea and/or found on the west coast of North America: these observations are used to determine optimal windage values for scaling the model solutions. The initial number of boats set adrift during the tsunami is estimated at about 1000, while about 100 boats are projected to still float in year 2018 with an e-folding decay of 2 to 8 years.

PACOM: A Versatile Tool for Integrating, Filtering, Visualizing, and Comparing Multiple Large Mass Spectrometry Proteomics Data Sets.

Mass-spectrometry-based proteomics has evolved into a high-throughput technology in which numerous large-scale data sets are generated from diverse analytical platforms. Furthermore, several scientific journals and funding agencies have emphasized the storage of proteomics data in public repositories to facilitate its evaluation, inspection, and reanalysis. (1) As a consequence, public proteomics data repositories are growing rapidly. However, tools are needed to integrate multiple proteomics data sets to compare different experimental features or to perform quality control analysis. Here, we present a new Java stand-alone tool, Proteomics Assay COMparator (PACOM), that is able to import, combine, and simultaneously compare numerous proteomics experiments to check the integrity of the proteomic data as well as verify data quality. With PACOM, the user can detect source of errors that may have been introduced in any step of a proteomics workflow and that influence the final results. Data sets can be easily compared and integrated, and data quality and reproducibility can be visually assessed through a rich set of graphical representations of proteomics data features as well as a wide variety of data filters. Its flexibility and easy-to-use interface make PACOM a unique tool for daily use in a proteomics laboratory. PACOM is available at https://github.com/smdb21/pacom .

Nongrowing season methane emissions-a significant component of annual emissions across northern ecosystems.

Wetlands are the single largest natural source of atmospheric methane (CH4 ), a greenhouse gas, and occur extensively in the northern hemisphere. Large discrepancies remain between "bottom-up" and "top-down" estimates of northern CH4 emissions. To explore whether these discrepancies are due to poor representation of nongrowing season CH4 emissions, we synthesized nongrowing season and annual CH4 flux measurements from temperate, boreal, and tundra wetlands and uplands. Median nongrowing season wetland emissions ranged from 0.9 g/m2 in bogs to 5.2 g/m2 in marshes and were dependent on moisture, vegetation, and permafrost. Annual wetland emissions ranged from 0.9 g m-2  year-1 in tundra bogs to 78 g m-2  year-1 in temperate marshes. Uplands varied from CH4 sinks to CH4 sources with a median annual flux of 0.0 ± 0.2 g m-2  year-1 . The measured fraction of annual CH4 emissions during the nongrowing season (observed: 13% to 47%) was significantly larger than that was predicted by two process-based model ensembles, especially between 40° and 60°N (modeled: 4% to 17%). Constraining the model ensembles with the measured nongrowing fraction increased total nongrowing season and annual CH4 emissions. Using this constraint, the modeled nongrowing season wetland CH4 flux from >40° north was 6.1 ± 1.5 Tg/year, three times greater than the nongrowing season emissions of the unconstrained model ensemble. The annual wetland CH4 flux was 37 ± 7 Tg/year from the data-constrained model ensemble, 25% larger than the unconstrained ensemble. Considering nongrowing season processes is critical for accurately estimating CH4 emissions from high-latitude ecosystems, and necessary for constraining the role of wetland emissions in a warming climate.