cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e182661
title: How Digitalization Shapes Export Product Quality: Evidence from China

description: The sample we use is panel data observations from 2011 to 2015. The enterprise's financial data and basic information are from the Database of Chinese Listed Companies (CAMAR). The quantity, total value, and destination countries of the import and export products of the enterprises come from the China Customs database. The foreign investment, GDP, and average employees' wages in the cities where the enterprises are all from China's urban Statistics database. We obtain panel data matching the listed enterprise, customs, and urban statistics database.We chose these samples because they are financial statements. Financial statements give an accurate picture of the company's financial position. Limited by the availability of data, China Customs data up to 2015 is the import and export data of enterprises' products published by the China Customs administration department. Chinese city data comes from local Chinese local government statistics. These figures are substantial and credible. After matching these data, we removed the abnormal enterprise data in the financial indicators.
DOI: 10.3886/e182661v1
title: How Digitalization Shapes Export Product Quality: Evidence from China

description: The sample we use is panel data observations from 2011 to 2015. The enterprise's financial data and basic information are from the Database of Chinese Listed Companies (CAMAR). The quantity, total value, and destination countries of the import and export products of the enterprises come from the China Customs database. The foreign investment, GDP, and average employees' wages in the cities where the enterprises are all from China's urban Statistics database. We obtain panel data matching the listed enterprise, customs, and urban statistics database.We chose these samples because they are financial statements. Financial statements give an accurate picture of the company's financial position. Limited by the availability of data, China Customs data up to 2015 is the import and export data of enterprises' products published by the China Customs administration department. Chinese city data comes from local Chinese local government statistics. These figures are substantial and credible. After matching these data, we removed the abnormal enterprise data in the financial indicators.
DOI: 10.17632/dn82xj4bft.1
title: dataset of a functional MRI study in transgender individuals - Part I

description: Processed images for the ICA analyses in the "Brain network interactions in transgender individuals with gender incongruence" manuscript submitted to Neuroimage journal.
Original T1- and T2*-weighted images can be found in: doi:10.17632/hjmfrv6vmg.1
DOI: 10.5519/qd.1zj8e6zp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (526 records)
DOI: 10.25934/pr00007372.6
title: Available IPD datapackage for study 'A Phase III, Open-Label, Randomized Study of Atezolizumab in Combination With Bevacizumab Compared With Sorafenib in Patients With Untreated Locally Advanced or Metastatic Hepatocellular Carcinoma'

description: This study will evaluate the efficacy and safety of atezolizumab in combination with bevacizumab compared with sorafenib in participants with locally advanced or metastatic Hepatocellular Carcinoma (HCC) who have received no prior systemic treatment.
DOI: 10.17632/rw2yhtpj96.1
title: dataset of a functional MRI study in transgender individuals - Part III

description: Processed images for the seed-to-seed connectivity and graph-theory analyses in the "Brain network interactions in transgender individuals with gender incongruence" manuscript submitted to Neuroimage journal.
Original T1- and T2*-weighted images can be found in: doi:10.17632/hjmfrv6vmg.1
DOI: 10.17632/zt27ykdrgr.2
title: dataset of a functional MRI study in transgender individuals - Part II

description: Processed images for the ICA analyses in the "Brain network interactions in transgender individuals with gender incongruence" manuscript submitted to Neuroimage journal.
Original T1- and T2*-weighted images can be found in: doi:10.17632/hjmfrv6vmg.1
DOI: 10.5281/zenodo.7266448
title: Dataset used for paper "Issues-Driven Features for Software Fault Prediction"

description: Dataset used for paper "Issues-Driven Features for Software Fault Prediction". The dataset contains 86 projects from the open source organizations Apache and Spring were written in Java that managed their source code using the Git version control system and an issue tracking system (JIRA or BUGZILLA). For each project, we extracted data for software fault prediction (SFL) task as follows: First, we filtered out projects without reported resolved bugs or less than 5 released versions.<br> Then we iterated the resolved bugs and mapped them to the commits that fixed them.<br> Next, for each version, we labeled the faulty files in the version. A faulty file is a file that was modified in a commit in the version that resolved a bug. <br> The methodology for labeling the files is a variant of the very known approach implemented in the {\it SZZ} algorithm, which accounts for its vulnerabilities. Finally, for each project, we filtered out versions with faulty files' ratios lower than 5\% and higher than 30\%. The remaining set includes a good representation of bugs and reduces the class imbalance produced by the low number of defects. In addition, filtering versions with a low number of bugs helps to prune outliers, such as a version created to fix specific issues. Extracted using Beirut repository mining tool: https://github.com/beirut-repository-mining/repository_mining
DOI: 10.5281/zenodo.7266447
title: Dataset used for paper "Issues-Driven Features for Software Fault Prediction"

description: Dataset used for paper "Issues-Driven Features for Software Fault Prediction". The dataset contains 86 projects from the open source organizations Apache and Spring were written in Java that managed their source code using the Git version control system and an issue tracking system (JIRA or BUGZILLA). For each project, we extracted data for software fault prediction (SFL) task as follows: First, we filtered out projects without reported resolved bugs or less than 5 released versions.<br> Then we iterated the resolved bugs and mapped them to the commits that fixed them.<br> Next, for each version, we labeled the faulty files in the version. A faulty file is a file that was modified in a commit in the version that resolved a bug. <br> The methodology for labeling the files is a variant of the very known approach implemented in the {\it SZZ} algorithm, which accounts for its vulnerabilities. Finally, for each project, we filtered out versions with faulty files' ratios lower than 5\% and higher than 30\%. The remaining set includes a good representation of bugs and reduces the class imbalance produced by the low number of defects. In addition, filtering versions with a low number of bugs helps to prune outliers, such as a version created to fix specific issues. Extracted using Beirut repository mining tool: https://github.com/beirut-repository-mining/repository_mining
DOI: 10.5281/zenodo.6558357
title: Human evaluation data for Modern French Poetry Generation with RoBERTa and GPT-2

description: Human evaluation results and the evaluated poems for the following paper: Hämäläinen, M., Alnajjar, K., & Poibeau, T. (2022) <strong>Modern French Poetry Generation with RoBERTa and GPT-2</strong>. In <em>The Proceedings of the 13th International Conference on Computational Creativity</em>. The Excel file contains all of the evaluation data (excluding the IP addresses of the evaluators) and the csv file contains the aggregated results.
DOI: 10.5281/zenodo.6558356
title: Human evaluation data for Modern French Poetry Generation with RoBERTa and GPT-2

description: Human evaluation results and the evaluated poems for the following paper: Hämäläinen, M., Alnajjar, K., & Poibeau, T. (2022) <strong>Modern French Poetry Generation with RoBERTa and GPT-2</strong>. In <em>The Proceedings of the 13th International Conference on Computational Creativity</em>. The Excel file contains all of the evaluation data (excluding the IP addresses of the evaluators) and the csv file contains the aggregated results.
DOI: 10.17632/h96dcs23rr.1
title: Very low protein diets lead to reduced food intake and weight loss, linked to inhibition of hypothalamic mTOR signaling, in mice. 

description: To investigate graded levels of low protien dites effects on serum metabolite expression pattern, LC-MS was performed on serum of mice treated with different levels of low protein and normal protein under both 60% fat and 20% fat conditions. There were 8 diets in total, the fat content of first 4 diets were fixed at 60% fat level by energy and protein was varied from 1% to 20% (1%, 2.5%, 5% and 20% respectively) by energy (D14121903, D14121904, D14071601,D14071604), another 4 kinds of diets contained the same graded levels of protein content as the first 4 diets but fat contents were fixed at 20% by energy (D14121905, D14121906, D14071607, D14071610). Serum metabolites were extracted by mixing Chloroform : Methanol : Serum in 1:3:1 ratio and centrifuged at 1,3000 rpm for 3 minutes, supernatant was collected and did LC-MS using an OrbitrapTM ExactiveTM mass spectrometer at the Glasgow Polyomics facility. Each metabolite was expressed by raw peak intensity at last, and then these peaks were analyzed step by step using R packages called xcms (Smith et al., 2006), mscombine, missforest (Stekhoven and Buhlmann, 2012), and xmsannotator (Uppal et al., 2017) to match specific mass to charge ratio (m/z ratio) and retention times with HMDB and KEGG databases metabolites. Normalization was performed for raw peak intensities for each sample by using the Metabolomics package (De Livera et al., 2012; De Livera et al., 2013; Sysi-Aho et al., 2007), then log2-transformed. Then Generalized Linear Modelling (GLM) function in R-3.5.3 was used according to following design model: ~P+F+P:F, which means regression against protein (P) and fat contents (F) of diets plus their interaction (P:F). If the interaction effect was not significant (p > 0.05), the interaction was not included in the analysis and a revised model (~P+F) was utilized. Pearson correlation analysis was performed for normalized log2-transformed intensities of all metabolites by using Pearson correlation method in R-3.5.3. Then selected the significantly correlated genes with dietary protein content respectively in the GLM (GLM: p < 0.05) and Pearson correlation (Pearson: p < 0.05 for 60% fat and 20% fat conditions) analysis were loaded into the Ingenuity pathway (IPA) program (Ingenuity Systems; http://www.ingenuity.com/) to observe the significantly affected pathways. Normalized log2-transformed intensities were used to express the specific metabolite expression levels. The table contains significantly changed metabolites in GLM  and Pearson correaltion analysis respectively under 60% fat and 20% fat conditions.
DOI: 10.17632/bgyzz94mz9.1
title: dataset of a functional MRI study in transgender individuals - Part IV

description: Processed images for in the seed-to-seed connectivity and graph-theory analyses in the "Brain network interactions in transgender individuals with gender incongruence" manuscript submitted to Neuroimage journal.
Original T1- and T2*-weighted images can be found in: doi:10.17632/hjmfrv6vmg.1
DOI: 10.17632/ycxhvwhhp2.1
title: Tax haven

description: This data set is created for the paper: Capital round-tripping: Determinants of emerging market firms` investments into offshore financial centers

The replication data contains stata files and replication codes to run estimations reported in Tables 1-6 in this paper.
DOI: 10.17632/ycxhvwhhp2.2
title: Tax haven

description: This data set is created for the paper: Capital round-tripping: Determinants of emerging market firm investments into offshore financial centers and their ethical implications
The replication data contains stata files and replication codes to run estimations reported in Tables 2-7 in this paper.
DOI: 10.17632/gyryhnp52h.1
title: IoTMonitor-WQ: A Remote water-quality monitoring IoT platform

description: Water quality is determined by evaluating a set of physical, chemical, and biological characteristics in surface water sources or tributaries. The monitoring of variables such as pH,
electrical conductivity, and dissolved oxygen allows establishing the quality of water for human consumption. However, it is currently only possible to obtain this information at points distant from water sources or tributaries by collecting samples in the field (in situ). Field testing costs are high and require important investment in logistics and time. For this reason, we built a low-cost
microcontroller-based IoT platform for monitoring water quality parameters named IoT-Monitor-to-Water-Quality (IoTMonitor-WQ). This platform is built with precision sensors, LoRa technology, and an energy autonomy module. We demonstrate with IoTMonitor-WQ an effective technological solution in sampling, data storage and transmission, and subsequent
evaluation of relevant data influencing water quality in remote locations.
DOI: 10.5281/zenodo.7270055
title: Environmental controls on light use efficiency

description: Daily data for GPP estimates and associated variables from FLUXNET2015; matching GPP simulations generated by the P-model; GPP and LAI values for a subset of NACP participating models. Supporting the findings reported in Bloomfield et al. "Environmental controls on the light use efficiency of terrestrial gross primary production", Global Change Biology, 2022
DOI: 10.5281/zenodo.7270054
title: Environmental controls on light use efficiency

description: Daily data for GPP estimates and associated variables from FLUXNET2015; matching GPP simulations generated by the P-model; GPP and LAI values for a subset of NACP participating models. Supporting the findings reported in Bloomfield et al. "Environmental controls on the light use efficiency of terrestrial gross primary production", Global Change Biology, 2022
DOI: 10.6084/m9.figshare.21443334.v1
title: Supplementary Material for: Unplanned 30-Day Readmission Rates for Autosomal Dominant Polycystic Kidney Disease: Insight from the Nationwide Readmissions Database

description: <b><i>Introduction:</i></b> Among end-stage kidney disease (ESKD) patients on dialysis with autosomal dominant polycystic kidney disease (ADPKD), relatively little is known about the epidemiology and risk factors for 30-day readmissions in the USA. Therefore, we evaluated the 30-day unplanned readmission rates and predictors and inpatient care costs among ESKD patients with and without ADPKD using a nationally representative, all-payer database. <b><i>Methods:</i></b> We utilized the Nationwide Readmissions Database from 2013 to 2018 to identify patients admitted for ESKD on dialysis with and without ADPKD using ICD-9 and ICD-10 codes. The primary outcome was a 30-day, unplanned readmission rate. Secondary outcomes were readmission reasons and timing, mortality, cost of hospitalization and rehospitalization, and adjusted predictors of readmissions. We used χ<sup>2</sup> tests, <i>t</i> tests, and Wilcoxon rank-sum tests for descriptive analyses and survey logistic regression to calculate adjusted odds ratios and 95% confidence intervals for associations with readmissions adjusting for confounders. <b><i>Results:</i></b> From 2013 to 2018, in a cohort of 1,404,144 hospitalizations with ESKD on dialysis as the primary and secondary diagnosis on index admission, there were 8,213 (0.58%) patients with ADPKD and 1,395,932 patients without ADPKD. Those who had ADPKD during index admissions had fewer 30 days readmissions (18.8 vs. 23.8%, <i>p</i> &lt; 0.0001). The cost of hospitalizations and readmissions in ESKD on-dialysis patients with ADPKD was higher than non-ADPKD patients. Compared to ESKD patients without ADPKD who were readmitted, readmitted ADPKD patients were more likely to be younger with a lower Elixhauser Comorbidity Index (ECI) score; have received kidney transplant, lower source of income, elective index admissions, private insurance; and be discharged routinely, admitted in hospitals with larger bed size, in teaching hospitals, and less likely to get admitted through the emergency department. Younger age (&lt;75 years), higher ECI score, longer length of stay, Medicare and Medicaid insurance, self-pay, discharge to a short-term hospital, specialized care, home health care, and against medical advice were associated with significantly increased odds of readmission. ADPKD patients were 31% less likely to get readmitted and 43% less likely to die during readmissions. <b><i>Discussion/Conclusion:</i></b> Nationwide, ESKD on-dialysis patients with ADPKD were less likely to have 30-day readmission than patients without ADPKD. Inpatient mortality during readmissions in patients admitted with ESKD on dialysis was lower with ADPKD as compared to those without ADPKD at the cost of higher health care expenses.
DOI: 10.5281/zenodo.1002627
title: Measurement verification data for AutoMorph vs. hand measurements

description: These data include comparisons between 2D and 3D measurements automatically extracted by the AutoMorph software (https://github.com/HullLab/AutoMorph) and those collected manually (<em>i.e</em><em>.,</em> using calipers, ImageJ, or VGSStudio Max for the 2D measurements, or using CT scans for the 3D measurements). These measurements are intended to demonstrate the breadth of AutoMorph's applicability, and help users determine whether the accuracy of AutoMorph is suitable for their needs. 2D measurements (specifically major and minor axis length and/or squared area) have been collected and presented here for fossil patellogastropods (limpets), extant bivalves, and ichthyoliths (<em>i.e.</em>, fish teeth). 3D volume and surface area data have been collected for a sample of planktonic foraminifera. More information about how these data were collected, and discussion about the measurement comparisons, can be found in the manuscript describing AutoMorph (Hsiang et al. 2018). <strong>References</strong> Hsiang AY, Nelson K, Elder LE, Sibert EC, Kahanamoku SS, Burke JE, Kelly A, Liu Y, and Hull PM (2018) <em>AutoMorph</em>: Accelerating morphometrics with automated 2D and 3D image processing and shape extraction. <em>Methods in Ecology and Evolution. </em>9(3):605-612 (https://doi.org/10.1111/2041-210X.12915).
description: This work was funded by the American Chemical Society PRF Grant #55837-DNI8 and by support from Yale University.
DOI: 10.5281/zenodo.1002628
title: Measurement Verification Data For Automorph Vs. Hand Measurements

description: These data include comparisons between 2D and 3D measurements automatically extracted by the AutoMorph software (https://github.com/HullLab/AutoMorph) and those collected manually (<em>i.e</em><em>.,</em> using calipers, ImageJ, or VGSStudio Max for the 2D measurements, or using CT scans for the 3D measurements). These measurements are intended to demonstrate the breadth of AutoMorph's applicability, and help users determine whether the accuracy of AutoMorph is suitable for their needs. 2D measurements (specifically major and minor axis length and/or squared area) have been collected and presented here for fossil patellogastropods (limpets), extant bivalves, and ichthyoliths (<em>i.e.</em>, fish teeth). 3D volume and surface area data have been collected for a sample of planktonic foraminifera.

More information about how these data were collected, and discussion about the measurement comparisons, can be found in the manuscript describing AutoMorph, to be published in Methods in Ecology and Evolution (in press; DOI pending).
description: This work was funded by the American Chemical Society PRF Grant #55837-DNI8 and by support from Yale University.
DOI: 10.5281/zenodo.1002768
title: Measurement verification data for AutoMorph vs. hand measurements

description: These data include comparisons between 2D and 3D measurements automatically extracted by the AutoMorph software (https://github.com/HullLab/AutoMorph) and those collected manually (<em>i.e</em><em>.,</em> using calipers, ImageJ, or VGSStudio Max for the 2D measurements, or using CT scans for the 3D measurements). These measurements are intended to demonstrate the breadth of AutoMorph's applicability, and help users determine whether the accuracy of AutoMorph is suitable for their needs. 2D measurements (specifically major and minor axis length and/or squared area) have been collected and presented here for fossil patellogastropods (limpets), extant bivalves, and ichthyoliths (<em>i.e.</em>, fish teeth). 3D volume and surface area data have been collected for a sample of planktonic foraminifera. More information about how these data were collected, and discussion about the measurement comparisons, can be found in the manuscript describing AutoMorph (Hsiang et al. 2018). <strong>References</strong> Hsiang AY, Nelson K, Elder LE, Sibert EC, Kahanamoku SS, Burke JE, Kelly A, Liu Y, and Hull PM (2018) <em>AutoMorph</em>: Accelerating morphometrics with automated 2D and 3D image processing and shape extraction. <em>Methods in Ecology and Evolution. </em>9(3):605-612 (https://doi.org/10.1111/2041-210X.12915).
description: This work was funded by the American Chemical Society PRF Grant #55837-DNI8 and by support from Yale University.
DOI: 10.34740/kaggle/dsv/4431820
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.48420/20390763
title: Isostructural σ-hydrocarbyl phospholide complexes of uranium, neptunium, and plutonium

description: Raw data for: X-ray diffraction, NMR, ATR-IR, UV-vis-NIR, and SQUID magnetometry. Elemental analysis submission/results forms.
DOI: 10.48420/20390763.v1
title: Isostructural σ-hydrocarbyl phospholide complexes of uranium, neptunium, and plutonium

description: Raw data for: X-ray diffraction, NMR, ATR-IR, UV-vis-NIR, and SQUID magnetometry. Elemental analysis submission/results forms.
DOI: 10.6084/m9.figshare.20764681
title: Supplementary Material for: Upregulation of miRNA-26a enhances the apoptosis of cerebral neurons by targeting EphA2 and inhibiting the MAPK pathway

description: Neural tube defects (NTDs) constitute the second most common congenital malformation of the central nervous system. The pathogenesis of NTDs is not entirely clear. In recent years, microRNAs have become a hot spot in genetic and developmental biology research. The present study aimed to explore the potential role of microRNA (miRNA)-26a in NTDs and the underlying pathogenesis thereof. First, we found significantly increased miRNA-26a expression in fetuses with NTDs (p&lt;0.0001), which significantly downregulated EphA2 and ERK1 mRNA and protein expression levels in fetuses with NTDs compared to normal controls (p&lt;0.01). In addition, dual-luciferase reporter assay showed that miR-26a negatively regulated EphA2 by directly binding with the 3'-untranslated region of EphA2. Second, upregulation of miRNA-26a expression increased caspase 3 and 9 protein expression levels (p&lt;0.01); and decreased EphA2 mRNA and protein expression levels (p&lt;0.01), as well as ERK1 and SRF protein expression levels (p&lt;0.01) in mouse neural stem cells (NE-4C) and human astroblastoma cells (U87MG). Furthermore, the upregulation of miRNA-26a inhibited cell proliferation and enhanced apoptosis of NE-4C and U87MG cells (p&lt;0.05). Similar results were observed with the MAPK inhibitor PD98059 (p&lt;0.01). These results suggest that miR-26a downregulates EphA2 to regulate SRF through the MAPK pathway, which affects nervous system development miR-26a targets EphA2, modulates phosphorylation of MAPK/ERK(MEK) pathway, regulates SRF, and participates in regulating nervous cell proliferation and apoptosis. Dysregulation of the aforementioned mechanism may be involved in the pathogenesis of NTDs.