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Validity of lognormal distribution in analyzing laboratory test values

This is the supplementary data for our paper titled "Validity of lognormal distribution in analyzing laboratory test values" which was presented in Medinfo 2021. This ZIP file contains following files, * Materials.pdf Data information. * Experiment1-DataRange.csv Ranges of values for each laboratory test item. * Experiment1-distributons.xlsx Full data of the Table 1. * Experiment1-figure1-all.pdf Figure 1 (Estimated distributions using lnorm3) for all tests. * Experiment2-figure2-all.pdf Figure 2 (Estimated distributions of four datasets using lnorm3) for all tests. This data was made under the approval by the Ethics Committee of the University of Tsukuba Hospital (permission number: R1-080). Anyone can use this data freely under the CC BY-ND ( https://creativecommons.org/licenses/by-nd/4.0/ ).

Extended data table 1: Taqman array card results showing all individual target hits with Ct values and whether validated by conventional microbiology and/or microbial sequencing.

Data from study, protocol published at 10.5281/zenodo.5081880 Extended Data Table 1: TAC results showing all individual target hits with Ct values and whether validated by conventional microbiology and/or microbial sequencing. (BAL: bronchoalveolar lavage.) *Not included in validation numbers as duplicate at sub-species or genus level detection, **MecA was not included in validation numbers. TAC hits which did not pass the internal quality control standards required for reporting are indicated by (not reported). Samples which did not undergo sequencing indicated by ND. (✓) indicates low confidence hits from sequencing.

Normalized NMR integration values from the metabolomic analysis of Drosophila larvae extracts from 2 genotypes at 3 time points.

We measured the metabolites related to energy production using 1H nuclear magnetic resonance spectroscopy (NMR). No alterations in the levels of carbohydrate stores or free amino acids were found between control and Sema1ai animals, corroborating the notion that the main metabolic changes are in the lipid metabolism. The exception is the glycolytic amino acid alanine (elevated in Sema1ai animals), confirming alterations in glycolysis. The levels of the ß-alanine amino acid are markedly reduced in 256 h AEL or 10.5-day-old Sema1ai animals, probably indicating muscle degeneration in the severely obese larvae that is consistent with the deteriorated state and reduced movement of the 10-day-old (256 hours) mutant larvae. Gluconeogenesis is stimulated by high lactate, and the concentration of lactate is higher in Sema1ai larvae than controls, though the difference is not statistically significant. Glycolysis is stimulated by glucose and inhibited by citrate, an early intermediate of the citric acid cycle. The increased citrate levels in the 10.5-day-old Sema1ai larvae suggest that glycolysis is lower at this age, consistent with the increased level of glucose in the severely obese larvae. The fact that both gluconeogenesis and glycolysis pathways are simultaneously enhanced in Sema1ai larvae support the hypothesis that the animals defecting in adiposity signaling are in a state of perceived energy insufficiency despite having sufficient energy stored.

Shared motivations, goals and values in the practice of personal science - Qualitative data set

269 transcribed excerpts coded from 22 interviews to self-researchers for the study "Shared motivations, goals and values in the practice of personal science - A community perspective on self-tracking for empirical knowledge". Interviews with participants were conducted via video conferencing and were based on a list of open-ended questions, separated into key sections around participation and collaboration in personal science. Participants who agreed to be interviewed, gave informed consent in like with the ethics approval by the Inserm Institutional Review Board (IRB) for this study, and regarding this data set, previous agreement in compliance with privacy and anonymity requirements. Academic article based on this dataset: Senabre Hidalgo, E., Ball, M. P., Opoix, M., & Greshake Tzovaras, B. (2022). Shared motivations, goals and values in the practice of personal science: a community perspective on self-tracking for empirical knowledge. Humanities and Social Sciences Communications, 9(1), 1-12. <a href="https://doi.org/10.1057/s41599-022-01199-0">https://doi.org/10.1057/s41599-022-01199-0</a>

openodc-pddlJun 2021View details →

Dataset of Bnet values of 23 radiation damage series analysed in "Quantifying and comparing radiation damage in the Protein Data Bank"

Dataset of Bnet values, plus associated metadata (resolution, Rwork, Rfree, temperature, etc.), for 23 radiation damage series deposited in the PDB that are analysed in the publication "Quantifying and comparing radiation damage in the Protein Data Bank"

openodc-pddlJun 2021View details →

Dataset of Bnet values of 93,978 PDB-REDO structures analysed in "Quantifying and comparing radiation damage in the Protein Data Bank"

Dataset of Bnet values, plus associated metadata (resolution, Rwork, Rfree, temperature, etc.), for 93,978 PDB-REDO structures analysed in the publication "Quantifying and comparing radiation damage in the Protein Data Bank"

dryad36/100

Exploring changes in ecosystem service values in strongly human-impacted, contrasting agro-ecological environments

Evaluating the impacts of land-use/land-cover (LULC) changes on ecosystem service values (ESVs) is essential for sustainable use and management of ecosystems. In this study, we evaluated the impact of LULC changes on ESVs over the period 1982–2016/17 in contrasting, strongly human-impacted agro-ecological environments: Guder (highland), Aba Gerima (midland), and Debatie (lowland) watersheds of the Upper Blue Nile basin, Ethiopia. During the study period, the continuous expansion of cultivated land at the expense of natural vegetation (bushland, forest, and grazing land) severely reduced the total ESV by about US$58 thousand (35%) in Aba Gerima and US$31 thousand (29%) in Debatie watersheds. In contrast, the unprecedented expansion of plantations, mainly through the planting of Acacia decurrens, helped the total ESV rebound by about US$71 thousand (54%) in Guder watershed after 2006, after it had decreased by about US$61 thousand (32%) between 1982 and 2006. The reduction in natural forest area was the major contributor to the loss of total ESV in the study watersheds, ranging from a reduction of US$31 thousand (63%) in Debatie to US$96.9 thousand (70%) in Guder between 1982 and 2016/17. On an area-specific basis, LULC changes reduced the average ESV from US$560 ha–1 yr–1 (1982) in Guder to US$306 ha–1 yr–1 (2017) in Debatie watersheds. Specific ESVs such as provisioning (mainly as food production) and regulating services (mainly as erosion control and climate regulation) accounted for most of the total ESVs estimated for the study watersheds. In most cases the total and specific ESVs of the watersheds were negatively associated with the population growth, which in turn was positively associated with the expansion of cultivated land over the study period. In Guder watershed, however, ESVs were positively associated with population growth, especially after 2012. This resulted primarily from the conversion of cultivated land to plantations (predominantly with nitrogen-fixing Acacia decurrens trees) because of the farmers' growing desire to rehabilitate degraded cultivated land while simultaneously generating income through the sale of charcoal from this fast-growing tree. Our results suggest, therefore, that future policy measures and directions should focus on improving vegetation cover through planting multipurpose trees such as Acacia decurrens to prevent future loss of ESV in the midland and lowland regions of the Upper Blue Nile basin and beyond.

opencc-zeroOct 2021View details →

opencc-by-4.0Oct 2022View details →

Action Prediction Error: a value-free dopaminergic teaching signal that drives stable learning - Behavioral dataset

Behavioral data to reproduce figures of this paper: https://doi.org/10.1101/2022.09.12.507572 See Github repository: https://github.com/HernandoMV/APE_paper

opencc-by-4.0Oct 2022View details →

Fig. 1 in Aviation Safety Ranking Values And Bird Species At Trabzon International Airport, Türkiye

Fig. 1. Study area (GOOGLE EARTH, 2022)

dryad36/100

Data from: Whiskers provide time-series of toxic and essential trace elements, Se:Hg molar ratios, and stable isotope values of an apex Antarctic predator, the leopard seal

In an era of rapid environmental change and increasing human presence, researchers need efficient tools for tracking contaminants to monitor the health of Antarctic flora and fauna. Here, we examined the utility of leopard seal whiskers as a biomonitoring tool that reconstructs time-series of significant ecological and physiological biomarkers. Leopard seals (Hydrurga leptonyx) are a sentinel species in the Western Antarctic Peninsula due to their apex predator status and top-down effects on several Antarctic species. However, there are few data on their contaminant loads. We analyzed leopard seal whiskers (n = 18 individuals, n = 981 segments) collected during 2018–2019 field seasons to acquire longitudinal profiles of non-essential (Hg, Pb, and Cd) and essential (Se, Cu, and Zn) trace elements, stable isotope (ẟ15N and ẟ13C) values and to assess Hg risk with Se:Hg molar ratios. Whiskers provided between 46 and 286 cumulative days of growth with a mean ~125 days per whisker (n = 18). Adult whiskers showed variability in non-essential trace elements over time that could partly be explained by changes in diet. Whisker Hg levels were insufficient (<20 ppm) to consider most seals being at "high" risk for Hg toxicity. Nevertheless, maximum Hg concentrations observed in this study were greater than that of leopard seal hair measured two decades ago. However, variation in the Se:Hg molar ratios over time suggest that Se may detoxify Hg burden in leopard seals. Overall, we provide evidence that the analysis of leopard seal whiskers allows for the reconstruction of time-series ecological and physiological data and can be valuable for opportunistically monitoring the health of the leopard seal population and their Antarctic ecosystem during climate change.

opencc-zeroDec 2022View details →

New1_Korespondensi Propagation of Economic Shocks from the United States, China, The European Union, and Japan to Selected Asian Economies: Does the Global Value Chain Matters?

ABSTRACT A panel vector autoregression (VAR) model is employed to estimate whether growth shocks from the United States (US), China, Japan, and the European Union (EU) can be transferred to selected Asian countries. We examine 1) the effect of shocks through five channels: international trade, monetary policy, finance, global uncertainty, and oil prices; 2) whether a country’s deeper integration with the global value chain (GVC) enhances or decreases the effect of growth shocks from major economies more intensively than trade openness. We found evidence of the shock transfer from major economies to Asia through the five channels. The impact differs across countries depending on their participation in GVC; for example, the impact is high in Indonesia and low in South Korea. Moreover, Asian countries are more exposed to trade shocks through China’s trade channel than other major economies. Zooming in on the channels’ impacts, global uncertainty affects countries’ growth (e.g., Indonesia) more significantly than other channels (i.e., GVC); and Asian countries respond positively to oil prices in the short run but negatively in the long run. Keywords: Foreign spillovers, global uncertainty, oil prices, global value chain, monetary policy, trade openness, globalization JEL Classification: F44, F62, O53, E43

data set regarding to article Comparison of diagnostic value of SARC-F and its four modified versions in Polish community-dwelling older adults

This data set corresponds with the article titled Comparison of diagnostic value of SARC-F and its four modified versions in Polish community-dwelling older adults

Estimated parameters for Bayesian Multilevel Models of KM and kcat values

RData (.rds) files containing brmsfit model objects estimated with the brms R package from KM and kcat values reported in BRENDA and SABIO-RK. These models are used by the ENKIE python package to predict kinetic parameter values and uncertainties.

Genova - Land and property value in proximity to NBS

Results of a questionnaire evaluating the land and property value change in proximity to NBS in Genova.

Prostate MRI T2-weighted images with peripherial and trasition zone segmentations including corresponding PIRADS and PSA values

This dataset contains 114 t2-weighted MRI images of the prostate with corresponding segmentations.The segmentations include two labels, 1 - Transition Zone, 2 - Peripherial Zone. Most of the images include corresponding PIRADS and PSA values, which are available in the file PSA_PIRADS.csv. For more information concerning the images, see the following article. Please cite the following articles, if you are using this dataset: Gibala, S.; Obuchowicz, R.; Lasek, J.; Schneider, Z.; Piorkowski, A.; Pociask, E.; Nurzynska, K. Textural Features of MR Images Correlate with an Increased Risk of Clinically Significant Cancer in Patients with High PSA Levels. J. Clin. Med. 2023, 12, 2836. https://doi.org/10.3390/jcm12082836 Gibała, S.; Obuchowicz, R.; Lasek, J.; Piórkowski, A.; Nurzynska, K. Textural Analysis Supports Prostate MR Diagnosis in PIRADS Protocol. Appl. Sci. 2023, 13, 9871. https://doi.org/10.3390/app13179871

Table_A2-5-8_Ecotoxicological threshold values soil organisms

Ecotoxicological threshold values soil organisms

Table_A2-5-7_Ecotoxicological threshold values pollinators

Ecotoxicological threshold values pollinators

Multi-Label Datasets with Missing Values

Consisting of six multi-label datasets from the <a href="https://archive.ics.uci.edu">UCI Machine Learning repository.</a> Each dataset contains missing values which have been artificially added at the following rates: 5, 10, 15, 20, 25, and 30%. The “amputation” was performed using the “Missing Completely at Random” mechanism. File names are represented as follows:           amp_DB_MR.arff where:           DB = original dataset;          MR = missing rate. For more details, please read: IEEE Access article (in review process)

THE GROWTH IMPACT ON COMPANY VALUE: EVIDENCE FROM THE E-COMMERCE SECTOR

Thid dataset contains the information about e-commerce companies globally. The indicators include: region of operations (developed / developing), business-model (1st party trade / 3d party trade), key financial indicators   Detailed description of variables: 1. Year: the period covers 2017-2021, annual data 2. Index: number of the company 3. EV/GMV_t: trailing mulriple EV/GMV 4. EV/GMV_f: forward multiple EV/GMV 5. EV/Revenue: trailing multiple EV/Revenue 6. EV/Gross Profit: trailing multiple EV/Gross Proift 7. EV/EBITDA: trailing multiple EV/EBITDA 8. EV/EBIT: trailing multiple EV/EBIT 9. Dummy_Dev: dummy variable, which equals 1 for companies, operating on developed markets, 0 - for developing 10. Dummy_Ind: dummy variable, which equals 1 for companies which operating model combines a marketplace and retailing, 0 - for retailers 11. Dummy_GP: dummy variable, which equals 1 for companies with positive Gross Profit at a given year 11. Dummy_EBITDA: dummy variable, which equals 1 for companies with positive EBITDA at a given year 12. GMV_g_1yH: GMV growth rate for 1 historical year 13. GMV_g_2yH: GMV CAGR rate for 2 historical years 14. GMV_g_1yF: GMV growth for 1 forecasted year 15. Rev_g_1yH, Rev_g_2yH, Rev_g_1yF, GP_g_1yH, GP_g_2yH, GP_g_1yF, EBITDA_g_1yH, EBITDA_g_2yH, EBITDA_m_1yF: the same as p.12-14 for Revenue, Gross Profit, and EBITDA 16. GP_m_1yH: Gross Margin for 1 historical year