cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48370/ofd/vsemjg
title: Komonica zwyczajna (Lotus corniculatus L.), 932

description: Herbarium
DOI: 10.48370/ofd/aunlej/aqa0sl
title: HMW_Maianthemum_bifolium_(L.)_F._W._Schmidt_H_0414.jpg

description: :unav
DOI: 10.48370/ofd/aunlej
title: Konwalijka dwulistna (Maianthemum bifolium (L.) F. W. Schmidt), 414

description: Herbarium
DOI: 10.48370/ofd/cgfozw/urebxb
title: HMW_Maianthemum_bifolium_(L.)_F._W._Schmidt_H_5842.jpg

description: :unav
DOI: 10.48370/ofd/cgfozw
title: Konwalijka dwulistna (Maianthemum bifolium (L.) F. W. Schmidt), 5842

description: Herbarium
DOI: 10.48370/ofd/6cahoz/3lwobc
title: HMW_Maianthemum_bifolium_(L.)_F._W._Schmidt_H_9377.jpg

description: :unav
DOI: 10.48370/ofd/6cahoz
title: Konwalijka dwulistna (Maianthemum bifolium (L.) F. W. Schmidt), 9377

description: Herbarium
DOI: 10.6084/m9.figshare.16552639
title: Cost-effectiveness of nivolumab monotherapy in the third-line treatment of small cell lung cancer

description: Present cost-effectiveness analysis of nivolumab monotherapy vs commonly prescribed third-line (3L+) treatment in small cell lung cancer (SCLC). A three health states partitioned survival model (progression-free, progressed disease, and death; US payer perspective) was developed. Systematic literature review identified no randomized controlled or single-arm trials with separate outcomes for 3L + SCLC patients. Topotecan was chosen as comparator because it is frequently prescribed in real-world practice for 3L SCLC. Clinical inputs for topotecan were derived from the Flatiron database with inclusion/exclusion criteria matched to patients treated with 3L + nivolumab in CheckMate 032. Intravenous (IV) and oral topotecan clinical efficacy were assumed equivalent. Base-case analysis used a 20-year lifetime horizon. An annual discount rate of 3.0% for costs and outcomes was applied. Uncertainty was assessed using sensitivity analyses adjusted for key parameters. Incremental cost per quality-adjusted life-year (QALY) gained with nivolumab was US$153,312 vs IV topotecan and US$123,003 vs oral topotecan, respectively. When results were disaggregated, nivolumab-related costs were mainly driven by drug acquisition costs, and topotecan-related costs were primarily due to adverse event treatment. Mean overall survival (OS) was 21.69 months with nivolumab and 5.80 months with IV or oral topotecan. More favorable outcomes were found by the landmark response analyses. Deterministic sensitivity analyses showed that changes to the discount rate for costs and outcomes and body weight had the greatest impacts on results. Included use of real-world data for OS outcomes associated with 3L topotecan, use of second-line topotecan data for progression-free survival, and no indirect costs. Based on the literature on willingness-to-pay for a QALY in metastatic cancer, nivolumab monotherapy might represent a cost-effective option for 3L + treatment of SCLC compared with IV and oral topotecan. Sensitivity analysis using response-based methods yielded further favorable cost-effectiveness estimates.
DOI: 10.6084/m9.figshare.16552639.v1
title: Cost-effectiveness of nivolumab monotherapy in the third-line treatment of small cell lung cancer

description: Present cost-effectiveness analysis of nivolumab monotherapy vs commonly prescribed third-line (3L+) treatment in small cell lung cancer (SCLC). A three health states partitioned survival model (progression-free, progressed disease, and death; US payer perspective) was developed. Systematic literature review identified no randomized controlled or single-arm trials with separate outcomes for 3L + SCLC patients. Topotecan was chosen as comparator because it is frequently prescribed in real-world practice for 3L SCLC. Clinical inputs for topotecan were derived from the Flatiron database with inclusion/exclusion criteria matched to patients treated with 3L + nivolumab in CheckMate 032. Intravenous (IV) and oral topotecan clinical efficacy were assumed equivalent. Base-case analysis used a 20-year lifetime horizon. An annual discount rate of 3.0% for costs and outcomes was applied. Uncertainty was assessed using sensitivity analyses adjusted for key parameters. Incremental cost per quality-adjusted life-year (QALY) gained with nivolumab was US$153,312 vs IV topotecan and US$123,003 vs oral topotecan, respectively. When results were disaggregated, nivolumab-related costs were mainly driven by drug acquisition costs, and topotecan-related costs were primarily due to adverse event treatment. Mean overall survival (OS) was 21.69 months with nivolumab and 5.80 months with IV or oral topotecan. More favorable outcomes were found by the landmark response analyses. Deterministic sensitivity analyses showed that changes to the discount rate for costs and outcomes and body weight had the greatest impacts on results. Included use of real-world data for OS outcomes associated with 3L topotecan, use of second-line topotecan data for progression-free survival, and no indirect costs. Based on the literature on willingness-to-pay for a QALY in metastatic cancer, nivolumab monotherapy might represent a cost-effective option for 3L + treatment of SCLC compared with IV and oral topotecan. Sensitivity analysis using response-based methods yielded further favorable cost-effectiveness estimates.
DOI: 10.17632/gwyfc7bnzb.3
title: JAAD Supplemental Material -Sports bras improve chest keloids but outcomes are dependent on breast size: a retrospective analysis

description: Supplemental Figure 1. Study design and flow chart of the medical records selection in two groups.

Supplemental Figure 2. Effect of sports bra and breast size on keloid score after the combination treatment. 
(a) The keloid scores in without sports bra group are significantly worse than scores in with sports bras group at 1-year follow-up. (b-c) The large breast size group (BSS＜7.7) shows more significant improvement of keloid score when patients wear sports bras than the small breast size group (BSS＞7.7). (d) Larger size of the breast is correlated to the worse keloid score in both two groups according to simple Linear Regression. However, the positive association in without sports bra group is stronger compared to with sports bra group. 

Supplemental Figure 3. Impact of time of keloid onset and age of patient on the treatment outcome.
The result shows that the keloid score is not statistically correlated to the time of keloid onset or the age of patients in both groups. 

Supplemental Figure 4. The clinical pictures of patients in both groups before and one year after operation.
The patients in with sports bra group exhibit milder erythema and telangiectasia and smaller vertical width of lesion one year after treatment compared to patients in without sports bra group.

Supplemental Figure 5. The typical pathological features of one of included patients. 
(a) Low-power view shows the collagen is separated by small bundles of sparsely cellular fibroblastic tissue and chronic inflammatory cells. (b) High-power view highlights typical broad, hyalinized, and eosinophilic “bubble gum” collagen fibers. In addition, the lack of epidermal appendages is noted on both low and high power. (a, hematoxylin-eosin, original magnification×40; b, H&E, original magnification×200)
DOI: 10.17632/y6w7p6bj2g.1
title: Differences in the chemical composition of the roots of Panax ginseng infected with red rust

description: raw data for quantification in manuscript “Differences in the chemical composition of the roots of Panax ginseng infected with red rust”
DOI: 10.17632/vd88zjfvbr.3
title: 2021_Aug An Antisense Transcript Transcribed from Irs2 Locus Contributes to the Pathogenesis of Hepatic Steatosis in Insulin Resistance

description: Uncropped images of immunoblot
DOI: 10.17632/mrpsmh8v6s.2
title: Online Symptom Checker Dataset

description: Supplemental Tables for JAAD Submission
DOI: 10.17632/tpxr8hbmy8.1
title: Preliminary Study on the Division of Lunar Terranes-Implications for Crustal Formation and Evolution

description: This data consists of 2 sections:  (i) Vector data of the global lunar graben which determined based on the 100 m/pixel WAC global mosaic of LRO (ii) Global lunar Mg# which was derived from MgO and FeO abundances with a resolution of 5°/pixel derived from Lunar Prospector gamma spectrum data.
DOI: 10.17632/zntz2wnkj7.1
title: FXR1-mediated cMYC upregulation 

description: Raw data of all the Western blots performed for the study titled "RNA-binding protein FXR1 drives cMYC translation by recruiting eIF4F complex to translation start site"
DOI: 10.17632/88599bhfj4.1
title: Effects of Austempering on the Microstructure, Corrosion and Mechanical Properties of AISI 1018 Steel

description: Tables and Figures
DOI: 10.17632/ffbtwmcw37.2
title: Vegetation structure and species richness of the seasonally dry tropical forest

description: The data were collected in order to evaluate the different pathways through which the chronic disturbance determines the loss of species richness. 

The study was carried out in the seasonally dry tropical forest (SDTF) of southwestern Ecuador, specifically in Zapotillo County, Loja Province. 
Within an area of 12400 ha, we haphazardly located three grids of 4.2 x 2.2 km to have a reasonable variation of the forest diversity and heterogeneity in the region. Grids were separated at least 2.5 Km from each other and with a distance of 5 to 8 Km from Zapotillo town. Within each of these grids, we selected randomly 20 cells and located three transects of 50 x 2 m. In each transect, we registered all intercepted trees and shrubs with diameter at breast height (DBH) ≥ 1 cm and height > 1.30 m, and sub-shrubs with height ≥ 30 cm. Shrubs and sub-shrubs were only recorded in the central band of each transect, along 50 x 1 m. 
For each selected cell we defined a measure of anthropogenic disturbance based on the distance to populated centers, roads and farms. We adjusted a PCA with standardized values with all these variables and used the first component as a chronic disturbance intensity variable. We adjusted a PCA with standardized values with all these variables and used the first component as a chronic disturbance intensity variable. To characterize the forest structural complexity we used the square root index (SQRI) proposed by Barbeito et al. (2009). To calculate the plant productivity of each cell, we used the Normalized Differentiation of Vegetation Index (NDVI). The last variable was the density of large trees, considering all stems > 25 cm DBH in the three transects of each cell.
DOI: 10.17632/42pd8w6fd8.1
title: Discovery of Thymosin Beta-4 as a Human Exerkine and Growth Factor

description: Skeletal muscle is an endocrine organ secreting exercise-induced factors (exerkines), which play a pivotal role in inter-organ crosstalk. Using mass spectrometry (MS)-based proteomics, we characterized the secretome and identified thymosin beta-4 (TMSB4X) as the most upregulated secreted protein in the media of contracting C2C12 myotubes. TMSB4X was also acutely increased in plasma of exercising humans irrespective of the insulin resistance condition or exercise mode. Treatment of mice with TMSB4X did not ameliorate the metabolic disruptions associated with diet induced-obesity, nor did it enhance muscle regeneration in vivo. However, TMSB4X increased osteoblast proliferation and neurite outgrowth, consistent with its WADA-classification as a prohibited growth factor.  Therefore, we report TMSB4X as a human exerkine with a potential role in cellular crosstalk.
DOI: 10.17632/796dy6424z.3
title: JIE_DCP_USD

description: This is the replication file for the paper "Dominant-currency pricing and the global output spillovers from US dollar appreciation" by G. Georgiadis and B. Schumann
DOI: 10.17632/97hkwn5y3x.2
title: Nairobi Securities Exchange (NSE) Kenya - All Stocks Prices 2021

description: This compilation of historical daily stock market price data relates to the Kenyan Nairobi Securities Exchange (NSE).  This data is valuable for any machine learning algorithm that needs data (training, validation, testing).  This compilation develops on an earlier dataset (2008-2012) that was initially compiled as part of a research project to predict next day stock price, based on the previous five days, using Artificial Neural Networks (ANN). This initial research [1],[2] tested 6 stocks [3] using ANN of configuration 5:21:21:1. The data was then enhanced as a new compilation of all stocks in the period 2007-2012 [4].

Thereafter, the NSE dataset for 2013 to 2020 [5] was compiled followed by this compilation that now has the 2021 data (upto April 30).  The method of data compilation has remained as it was originally, being data scrapping from a publicly accessible website [6] licensed by NSE. The processing involves exporting the raw web data to spreadsheets, then cleaning up, by removal of unnecessary data elements such as HTML tags and other graphics that cannot be converted to text.

Just like the previous compilations, each stock data row has the following 13 data columns (1) Date (2) Stock Code (3) Stock Name (4) 12-month Low price (5) 12-month High price (6) Day's Low price (7) Day's High price (8) Day's Final Price (9) Previous traded price (10) Change in price value (11) Change in price % (12) Volume traded (13) Adjusted price.  One additional CSV file has been introduced to show market sector that each stock belongs to. The 3 column headings for this additional CSV are: (1) Market sector (2) Stock Code (3) Stock Name.

With the addition of this new data compilation, researchers now have an even larger dataset (2007-2021) and even a bigger pool of stocks and their indices, since stocks keep being introduced (or even retired).  Providing the market sector information also opens up additional opportunities for data analysis and usage in machine learning research.

List of data files on this dataset: 
NSE_data_all_stocks_2021_upto_30apr2021.csv 
NSE_data_stock_market_sectors_2021.csv

References: 
[1] Wanjawa, B. W. (2014). A Neural Network Model for Predicting Stock Market Prices at the Nairobi Securities Exchange (Dissertation, University of Nairobi). 
[2] Wanjawa, B. W., & Muchemi, L. (2014). ANN model to predict stock prices at stock exchange markets. arXiv preprint arXiv:1502.06434. 
[3] Wanjawa, Barack (2020), “Nairobi Securities Exchange Prices 2008-2012 for 6 selected stocks”, Mendeley Data, v3, http://dx.doi.org/10.17632/95fb84nzcd.3 
[4] Wanjawa, Barack (2020), “Nairobi Securities Exchange All Stocks Prices 2007-2012”, Mendeley Data, v1, http://dx.doi.org/10.17632/5hk4zw32f5.1 
[5] Wanjawa, Barack (2021), “Nairobi Securities Exchange (NSE) All Stocks Prices 2013-2020”, Mendeley Data, V2, http://dx.doi.org/10.17632/73rb78pmzw.2 
[6] Synergy Systems Ltd. (2020). MyStocks. Retrieved May 1, 2021, from http://live.mystocks.co.ke/
DOI: 10.17632/vdtwp265d3.1
title: Pozdeyev et al JCEM 2021 Supplementary Table 1

description: Supplementary Table 1 from "Clinical utility of and interpretability of a deep learning thyroid nodule classifier".
DOI: 10.17632/mfky2jttwp.4
title: Low back pain and associated risk factors among medical students in Bangladesh: A cross-sectional study

description: Background: Low back pain (LBP) is one of the leading causes of disability worldwide. Different studies showed the high prevalence of LBP among medical students. However, no study has been conducted on Bangladeshi medical students. Objective: This study evaluated the prevalence, characteristics, and associated risk factors among medical students in Bangladesh. Materials and Methods: A cross-sectional study was conducted from October to December 2020 among randomly selected 240 medical students and medical interns in Faridpur Medical College, Bangladesh, using an online questionnaire. In data analysis, chi-square test and binary logistic regression were performed, and a p-value of < 0.05 was regarded as statistically significant. Results: A total of 207 participants responded, with a response rate of 82.8%. The mean age of the participants was 22.36 ± 1.915 years. The point, 6-month, and 12-month prevalence of LBP was 25.6%, 46.9%, and 63.3%, respectively. In most participants, LBP was localized (53.2%), recurrent (64.9%), undiagnosed (70.8%), affected for a short period (55%), and relieved without taking any treatment (60.4%). Participants who had a significantly higher 12-month prevalence of LBP included females (72.2% vs 52.2%), with BMI >25 kg/m2 (73.2% vs 56.7%), those who performed physical activity at low to moderate frequency (72.4% vs 29.5%), those who spent > 6 hours/day by sitting (71.3% vs 45.3%), and those who did not have enough rest time (92.7% vs 56%). Ergonomic features of chairs, such as having back support, adjustable back support, and adjustable sitting surface, significantly (p < 0.05) influenced the outcomes. Conclusion: The prevalence of LBP among medical students in Bangladesh was high, and most of the risk factors associated with the high prevalence of LBP were modifiable. Hence, LBP can be prevented by implementing preventive strategies and providing ergonomic training and physical activity facilities.
DOI: 10.17632/2x65btsysm.1
title: Terminal Modification, Sequence, Length, and PIWI-Protein Identity Determine piRNA Stability

description: Original autoradiographic and Western blotting images from "Terminal Modification, Sequence, Length, and PIWI-Protein Identity Determine piRNA Stability"
DOI: 10.48370/ofd/4cl754/ph4ury
title: HMW_Monotropa_hypopitys_L._s._str._H_1021.jpg

description: :unav
DOI: 10.48370/ofd/4cl754
title: Korzeniówka pospolita (Monotropa hypopitys L. s. str.), 1021

description: Herbarium
DOI: 10.17632/gbgnkr3f2x.1
title: Data for: Usage of Robust Regression for Approximation of Thermodynamic Data

description: Heat capacity and heat content data for K-natrolite and petalite. Also contains MATLAB script for k-folding and k-folding results.
DOI: 10.17632/7hgzksb46j.3
title: Data Supplement for The Bankruptcy System’s Contribution to Less Competitive Markets

description: Laissez faire antitrust attitudes are giving way to a bipartisan appetite for more rigorous antitrust enforcement.  Therefore, addressing the bankruptcy system’s role in creating more concentrated markets is particularly timely to reduce the need for ad-hoc antitrust litigation in the bankruptcy context.  This prevents the uncertainties associated with such litigation from derailing the restructuring of viable yet distressed firms.
This Article fulfills this objective by establishing an empirical relation between bankruptcy volume and market concentration and identifying the two drivers of this relation.  The first driver is the debt pricing noise created by the bankruptcy system that disproportionately impacts smaller competitors.  This noise is driven by unpredictable deviations from absolute priority as well as the cliff in creditor-debtor relationship created by the collision between the Trust Indenture Act and the Bankruptcy Code.  
The second driver is the conflict between restructuring and antitrust considerations.  The Failing Company defense and its outgrowths are bankruptcy-driven escape hatches from antitrust scrutiny.  Furthermore, antitrust enforcement has been neglected in the face of market stability and restructuring concerns.  These have turned bankruptcy courts into inhospitable venues for antitrust claims and have allowed creditors to reap monopolistic profits.  
Two reforms address these issues.  First, the underutilized Bankruptcy Appellate Panels should be overhauled to review bankruptcy cases more consistently.  Second, the Trust Indenture Act should be amended to lessen its tension with the Bankruptcy Code by allowing bondholders to fully renegotiate bonds without entering bankruptcy as long as they do not move ahead in the bankruptcy “queue.”
DOI: 10.17632/rx727gm54c.1
title: Central Pennsylvania Adult COVID-19 knowledge, perceptions, and preferred information sources

description: The research hypothesis, funding, and partial analysis is described in detail here: Van Scoy LJ, Miller EL, Snyder B, Wasserman E, Chinchilli VM, Zgierska AE, Rabago D, Lennon CL, Lipnick D, Toyobo O, Ruffin MT 4th, Lennon RP. Knowledge, Perceptions, and Preferred Information Sources Related to COVID-19 Among Central Pennsylvania Adults Early in the Pandemic: A Mixed Methods Cross-Sectional Survey. Ann Fam Med. 2021 Jul-Aug;19(4):293-301. doi: 10.1370/afm.2674. Epub 2021 May 13. PMID: 33985977; PMCID: PMC8282303. 
Briefly, this was a cross-sectional survey of 5,948 central Pennsylvanian adults between March 25-21, 2020 exploring public knowledge constructs related to COVID-19.
This data is free for use with citation to the Mendeley Data site and the above paper. It includes all responses received with at least six knowledge questions answered.
The data is de-identified. ("Record ID" is a randomly generated number that is not attached to any person in any way.)
The data includes free-text data; this may include statements that are opinion, false, or offensive. Accessing this data indicates that you will hold the authors of this dataset, their institutions and funders, harmless from emotional injury related to reading it.
DOI: 10.48370/ofd/by9clg/kkkvkq
title: HMW_Monotropa_hypopitys_L._s._str._H_3632.jpg

description: :unav
DOI: 10.17632/t3j9mtwbdr.1
title: Mendeley Supplemental File 1: OSATS Methods and Results

description: Mendeley Supplementary File 1: Methods and Results
DOI: 10.48370/ofd/by9clg
title: Korzeniówka pospolita (Monotropa hypopitys L. s. str.), 3632

description: Herbarium
DOI: 10.17632/6mcj5n2xwg.1
title: Diehl ISCIENCE-D-21-01407R1

description: These are data files for our manuscript that was recently submitted to iScience. 
The title of our manuscript is "Hepatocyte Activity of the Cholesterol Sensor Smoothened Regulates Cholesterol and Bile Acid Homeostasis in Mice".
DOI: 10.48370/ofd/6tehgs/jmotwd
title: HMW_Monotropa_hypopitys_L._s._str._H_3805.jpg

description: :unav
DOI: 10.48370/ofd/6tehgs
title: Korzeniówka pospolita (Monotropa hypopitys L. s. str.), 3805

description: Herbarium
DOI: 10.17632/gf9dc6zxdx.5
title: Accelerating Early Math Learning with Research-Based Personalized Learning Games

description: The data were collected as part of a randomized control trial designed to evaluate the effectiveness of a digital math program for young children (PreK, Kindergarten). Students were assessed using items selected from TEMA-3 before and after using the program. Teacher survey data were collected after they used the program. Hierarchical linear models examining the effect of the intervention on students' math achievement highlighted the impact of the program on math skills. Teacher feedback corroborated the assessment data; teachers also indicated the value of the program as an engaging, easy-to-use learning resource they would continue to use in the classroom.