cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24486769.v1
title: Multi-decadal improvements in the ecological quality of European rivers are not consistently reflected in biodiversity metrics

description: The datasets here were used to examine relationships between various community metrics (e.g., abundance, richness), biomonitoring indices, and ecological quality across European riverine invertebrate communities during 1992-2019. Here, we provide two datasets used in the publication by Sinclair et al. titled "Multi-decadal improvements in the ecological quality of European rivers are not consistently reflected in biodiversity metrics". Each dataset is provided as a separate Excel document. The first dataset ("Community metrics, biomonitoring indices, and EQRs") provides the data for each site and year used in the majority of the analyses. The second dataset ("EQCs") provides the additional data used to model temporal changes in Ecological Quality Classes depicted in Fig. 2 and Fig. 4. A summary and explanation of each variable in each dataset is provided in the "Info" tab. Further information on how values were calculated (and transformed if necessary) is provided in either the Info tab or the methods and supporting information of the associated article.
DOI: 10.6084/m9.figshare.12901331.v1
title: Quantitative maintainability data for FreeMind, jEdit and TuxGuitar versions

description: Suuplemental data for book chapter "A Study of Maintainability in Evolving Open-Source Software"
DOI: 10.6084/m9.figshare.16864951.v1
title: Additional file 2 of Deep learning for cancer type classification and driver gene identification

description: Additional file 2. Table S2. 985 transcripts corresponding to the 719 genes
DOI: 10.6084/m9.figshare.21081931.v1
title: Raman fungi dataset

description: Single-cell Raman dataset of Raman spectra of 94 patients' isolate from various infection sources.
DOI: 10.6084/m9.figshare.26700778.v1
title: Turner et al 2024; Rifaximin prophylaxis causes resistance to the last-resort antibiotic daptomycin - Supplementary Table 10

description: This study found that daptomycin resistance is linked with the presence of specific <i>rpoB</i> mutations in vancomycin resistant <i>Enterococcus faecium</i> (VREfm), with resistance emerging <i>de novo</i> in <i>E. faecium</i><i> </i>following exposure to rifaximin (RIFAX), a commonly prescribed antibiotic used prophylactically to prevent hepatic encephalopathy in liver disease patients. This work has uncovered a major mechanism of daptomycin resistance in VREfm and identified rifaximin, an antibiotic considered to be low-risk for the emergence of bacterial AMR, as an important driver of last-resort antibiotic resistance.
DOI: 10.6084/m9.figshare.29037146.v2
title: Raman-ChEMBL-part2-db

description: Raman-ChEMBL-part2-db
DOI: 10.6084/m9.figshare.29100455.v1
title: <b>Association of urinary sulfated glycosaminoglycan with kidney function in type 2 diabetes mellitus patients</b>

description: Association of urinary sulfated glycosaminoglycan with kidney function in type 2 diabetes mellitus patients
DOI: 10.6084/m9.figshare.7844201.v2
title: HCP-MMP 1.0 projected on 7T MRI data (59k mesh)

description: Hello everyone,<br>In order to resample the HCP-MMP1.0 parcellation, following steps were done and the new mesh is attached here.<br>1. download needed materials followed by suggestion below:https://www.mail-archive.com/hcp-users@humanconnectome.org/msg06289.html<br>They are:1.1 original mesh( Q1-Q6_RelatedParcellation210.CorticalAreas_dil_Final_Final_Areas_Group_Colors.32k_fs_LR.dlabel.nii) from BALSA: https://balsa.wustl.edu/WN56<br>1.2 download group standard 32K and 59K spheres for both hemispheres (Q1-Q6_RelatedParcellation210.L.sphere.32k_fs_LR.surf.gii; Q1-Q6_RelatedParcellation210.R.sphere.32k_fs_LR.surf.gii, L.sphere.59k_fs_LR.surf.gii & R.sphere.59k_fs_LR.surf.gii) from HCP Github: https://github.com/Washington-University/HCPpipelines/tree/master/global/templates/standard_mesh_atlases <br><br>2. using workbench, separate, resample and merge parcellation files:<br><br>wb_command -cifti-separate Q1-Q6_RelatedParcellation210.CorticalAreas_dil_Final_Final_Areas_Group_Colors.32k_fs_LR.dlabel.nii COLUMN -label CORTEX_LEFT Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Final_Final_Areas_Group.32k_fs_LR.dlabel.giiwb_command -cifti-separate Q1-Q6_RelatedParcellation210.CorticalAreas_dil_Final_Final_Areas_Group_Colors.32k_fs_LR.dlabel.nii COLUMN -label CORTEX_RIGHT Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Final_Final_Areas_Group.32k_fs_LR.dlabel.giiwb_command -label-resample Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Final_Final_Areas_Group.32k_fs_LR.dlabel.gii Q1-Q6_RelatedParcellation210.L.sphere.32k_fs_LR.surf.gii L.sphere.59k_fs_LR.surf.gii BARYCENTRIC Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Final_Final_Areas_Group.59k_fs_LR.dlabel.niiwb_command -label-resample Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Final_Final_Areas_Group.32k_fs_LR.dlabel.gii Q1-Q6_RelatedParcellation210.R.sphere.32k_fs_LR.surf.gii R.sphere.59k_fs_LR.surf.gii BARYCENTRIC Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Final_Final_Areas_Group.59k_fs_LR.dlabel.niiwb_command -cifti-create-label Q1-Q6_RelatedParcellation210.CorticalAreas_dil_Final_Final_Areas_Group_Colors.59k_fs_LR.dlabel.nii -left-label Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Final_Final_Areas_Group.59k_fs_LR.dlabel.nii -right-label Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Final_Final_Areas_Group.59k_fs_LR.dlabel.nii<br>NOTE: when doing merge, there's error for label-merge function for dlabel.nii file, therefore I changed the code to -cifti-create-label followed the suggestion from:https://www.mail-archive.com/hcp-users@humanconnectome.org/msg03217.html<br><br>3.Pick up the new mesh: Q1-Q6_RelatedParcellation210.CorticalAreas_dil_Final_Final_Areas_Group_Colors.59k_fs_LR.dlabel.nii<br>4. Enjoy :)<br>AcknowledgementThanks for the help of my supervisor Michelle Moerel during this transformation. Wish her all the best~
DOI: 10.17632/c8gwvb6fzb
title: Propensity Score Matching for Multiple Treatments using Generalized Boosted Models: Code

description: The document includes the codes for propensity score analysis based on multiple treatments, as well as the matching results for a dataset on R&D subsidies among Chinese high-tech manufacturing firms in Jiangsu Province. In the dataset, firms can receive a national subsidy or a provincial subsidy, which have different selection criteria. Propensity score analysis becomes complicated when there are multiple treatments. Existing studies bypass this complication by focusing on two of the treatments at a time and calculate the pairwise treatment effects, but this pairwise comparison does not allow advanced analysis that investigates how different treatments interact with other variables to influence the dependent variable. Our code illustrates how to obtain a matched sample with balanced pretreatment variables for a dataset with multiple treatments. Using Generalized Boosted Models (GBMs) to calculate the generalized propensity score vector, our proposed procedure matches observations on a multi-dimensional space. After obtaining the matched sample, researchers can directly conduct complex econometric analysis using standard statistical packages without the necessity of additional programming. Our results also demonstrate the advantage of GBMs over the commonly-used multinomial logistic regressions in calculating the generalized propensity score.
DOI: 10.6084/m9.figshare.23935059.v2
title: BAWS Map 2020

description: Map of the forest Biomass Available for Wood Supply (BAWS) of Europe for the year 2020 matching the harmonized BAWS statistics at the administrative unit. The map represents the dry aboveground forest biomass density in units of tons/ha.The map is available in GeoTIFF format at the spatial resolution of 100 x 100 m in ETRS89 LAEA (EPSG:3035) coordinate reference system for the extent of Europe (BAWS_Map_2020.tif)
DOI: 10.6084/m9.figshare.26318803.v1
title: Supplementary Material for: Hyponatremia-induced epileptic seizure provoked by levetiracetam and pain medication intake in a patient with central diabetes insipidus

description: Introduction: Causes of epileptic seizures are often multifactorial but for an effective therapy they should be uncovered in detail. 
Case presentation: We present a 67-year old male patient with a central diabetes insipidus, who experienced a generalized tonic-clonic seizure. The patient was treated with levetiracetam for prevention of further seizures, opioids and non-steroidal anti-inflammatory drugs [NSAID], i.e. ibuprofen because of severe back pain due to vertebral compression fractures. In this setting, he developed significant hyponatremia and experienced another epileptic seizure. After stopping analgesics and switching from levetiracetam to lacosamide, sodium levels returned to normal and the patient remained free of seizures since then. 
Conclusion The interrelationships of medical therapy, sodium levels and epileptic seizures in the context of central diabetes insipidus are discussed.
DOI: 10.6084/m9.figshare.27060115.v1
title: <b>Small RNA transcriptome profiling insights into the potential immune regulatory mechanism against Spring Viremia of Carp Virus (SVCV) infection in common carp (</b><b><i>Cyprinus carpio</i></b><b> L.)</b>

description: Raw data of this manuscript.
DOI: 10.6084/m9.figshare.28189550.v3
title: The Prevalence and Parental Awareness, Perception, andAttitudes towards Eye Diseases in Children Under 18 yearsold, in Saudi Arabia

description: The Prevalence and Parental Awareness, Perception, andAttitudes towards Eye Diseases in Children Under 18 yearsold, in Saudi Arabia
DOI: 10.17632/7fxt7k38hc
title: Systematic Review Protocol - Global South AI

description: Papers used for systematic review of AI risks in the Global South
DOI: 10.17632/8dh8bv7kn5
title: LANCE trial

description: The Lance study focuses on evaluating the impact of adding atezolizumab to chemotherapy in terms of survival benefits and progression-free survival. The study also investigates whether the biomarkers miR375 and miR21 have predictive value.

Research Hypothesis:
The hypothesis posits that atezolizumab, when combined with chemotherapy, improves overall survival and progression-free survival in patients. Additionally, it hypothesizes that miR375 and miR21 can serve as predictive biomarkers for treatment response.

Data Collection and Methodology:
Participants: The study involved patients receiving chemotherapy for a specific condition (not mentioned in the prompt).
Intervention: Participants were divided into two groups; one receiving standard chemotherapy and the other receiving chemotherapy plus atezolizumab.
Biomarker Analysis: Levels of miR375 and miR21 were measured to assess their correlation with treatment outcomes.
Duration: The study spanned a specific time frame, observing the patients' responses and survival rates.
Key Findings:
Survival Rates: The data might show a statistically significant improvement in survival rates in the group receiving atezolizumab.
Progression-Free Survival: This group might also demonstrate a longer progression-free survival period compared to the standard chemotherapy group.
Biomarker Predictive Value: The study might find that high or low levels of miR375 and miR21 correlate with better or worse outcomes, indicating their potential as predictive biomarkers.
Interpretation of Data:
Efficacy of Atezolizumab: If the data shows improved outcomes with atezolizumab, it suggests its efficacy in enhancing the effectiveness of chemotherapy.
Role of Biomarkers: The correlation between miR375/miR21 levels and treatment outcomes could pave the way for personalized medicine, where treatments are tailored based on individual biomarker profiles.
Implications and Usage:
Clinical Practice: The results could influence treatment protocols by integrating atezolizumab into standard chemotherapy regimens for certain conditions.
Future Research: The findings regarding miR375 and miR21 can lead to further research in biomarker-driven therapy.
Personalized Medicine: The study highlights the potential of using biomarkers for tailoring cancer treatments to individual patients.
Limitations:
The study might have limitations such as sample size, diversity of the participant pool, or the specificity of the condition treated, which should be considered while interpreting the results.

In summary, the Lance study provides valuable insights into the role of atezolizumab in chemotherapy and the potential of miR375 and miR21 as predictive biomarkers. This data, subject to peer review and further validation, could significantly impact the field of oncology and personalized medicine.
DOI: 10.6084/m9.figshare.23227432.v2
title: Gaussian Approximation and Spatially Dependent Wild Bootstrap for High-Dimensional Spatial Data

description: In this article, we establish a high-dimensional CLT for the sample mean of <i>p</i>-dimensional spatial data observed over irregularly spaced sampling sites in Rd, allowing the dimension <i>p</i> to be much larger than the sample size <i>n</i>. We adopt a stochastic sampling scheme that can generate irregularly spaced sampling sites in a flexible manner and include both pure increasing domain and mixed increasing domain frameworks. To facilitate statistical inference, we develop the spatially dependent wild bootstrap (SDWB) and justify its asymptotic validity in high dimensions by deriving error bounds that hold almost surely conditionally on the stochastic sampling sites. Our dependence conditions on the underlying random field cover a wide class of random fields such as Gaussian random fields and continuous autoregressive moving average random fields. Through numerical simulations and a real data analysis, we demonstrate the usefulness of our bootstrap-based inference in several applications, including joint confidence interval construction for high-dimensional spatial data and change-point detection for spatio-temporal data. Supplementary materials for this article are available online.
DOI: 10.17632/fc5b7gv78x
title: Non-targeted metabolomics studies revealed the effects of environmentally relevant concentrations of perfluorooctane sulfonic acid (PFOS) on carbohydrate metabolism in red claw crayfish (Cherax quadricarinatus)

description: Perfluorooctane sulfonate (PFOS), a persistent organic pollutant, poses significant threats to aquatic ecosystems and organisms. This study investigated the biological effects of environmentally relevant PFOS concentrations (0 ng/L, 1 ng/L, 10 μg/L) on Cherax quadricarinatus, a freshwater crayfish of economic importance, focusing on histopathology, apoptosis (via TUNEL staining), and metabolomic alterations. The results showed that PFOS exposure caused tissue damage to the hepatopancreas of C. quadricarinatus, and PFOS exposure caused apoptosis of C. quadricarinatus hepatopancreas. In addition, the metabolomics results showed that there were several significant differential metabolites and metabolic pathways, which indicated that PFOS exposure can cause metabolic disorders in the hepatopancreas of C. quadricarinatus. The Starch and sucrose metabolism pathway was significantly enriched in both groups, suggesting the potential role of this pathway in the biological effects of PFOS on C. quadricarinatus. In addition, in 1 ng/L group, four significant differential metabolic pathways: Glucagon signaling pathway, Glycerolipid metabolism, Starch and sucrose metabolism, and Glycolysis/Gluconeogenesis were found, which demonstrated the adverse effects of PFOS even at environmental relevant concentration. Furthermore, in all the four metabolic pathways, glucose-1-phosphate is the only mutual significant differential metabolite, indicating that the carbohydrate metabolism might be the target affecting pathway and the glucose-1-phosphate assumed an important role in the metabolic effect of environmental relevant concentration of PFOS. This study revealed the effect of PFOS on C. quadricarinatus through tissue physiology and combined with metabolomics, which is of great significance for exploring the practical biological effects and health risk of PFOS in the actual aquatic environment.
DOI: 10.17632/b2d83zft4s
title: Avocado-DB Dataset

description: The dataset is composed of 342 images corresponding to 19 avocado fruits, the images were captured using a digital camera, the fruits have been positioned at 18 different angles using a physical structure in a controlled environment; in addition the dataset contains the information of the total weight, pulp, pit and peel weight of each avocado fruit.
DOI: 10.17632/7fz5rkz6bw
title: Acceptance and Use of ChatGPT Among College Students: A Dataset from Select Higher Education Institutions in Luzon, Visayas, and Mindanao

description: This study, anchored in the Unified Theory of Acceptance and Utilization of Technology 2 (UTAUT2), investigates the determinants of the acceptance and use of ChatGPT among college students from select Philippine Higher Education Institutions in Luzon, Visayas, and Mindanao. Using a comprehensive online survey, 2,254 responses from 95 institutions were collected from July 22 to October 29, 2023. Analyzing the data with WarpPLS 8.0, the study determines factors such as Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, Habit, and demographic variables. Rigorous data cleansing yielded 1,242 valid responses. The data were intended to be analyzed using the PLS SEM approach to reveal direct effects and also the moderating roles of age, gender, and experience. This research contributes a valuable dataset, shedding light on AI-enabled chatbot adoption in higher education, with implications for global comparative analyses in similar contexts.
DOI: 10.17632/9g3bvkyjzw
title: Safety and efficacy of Empagliflozin in Pakistani Muslim Patients with Type 2 Diabetes (SAFE-PAK); A Randomized Clinical Trial. 

description: This study aimed to establish the safety and efficacy of Empagliflozin (Group-A) versus standard care (Group-B) in Pakistani Muslim individuals with type 2 diabetes. Out of 745 screened patients, 333 met the eligibility criteria, and a total of 244 (73.3%) patients were enrolled. Hypoglycemic events were significantly reported more in the standard care group, whereas positive urine culture, fungal infection, dehydration, and hypotension were insignificant between the two groups. The 6 months mean HbA1c reduction was significant in both groups; (Group-A: 0.91 ± 0.15; p<0.001 vs. Group-B2: 0.79 ± 0.14; p<0.001). Efficacy comparison at 6 months revealed a significant reduction in weight and systolic blood pressure (SBP) in Group A only (Group-A: 1.4 ± 0.4 kg; p<0.002 vs. Group-B: 0.01 ± 0.5 kg; p<1.00), (Group-A: 5.1 ± 1.7 mmHg; p<0.012 vs. Group-B: 2.3 ±1.7 mmHg; p<0.526).
DOI: 10.17632/gthc2b78bv
title: Fortran and C programs for the time-dependent dipolar Gross–Pitaevskii equation in an anisotropic trap

description: Abstract Many of the static and dynamic properties of an atomic Bose–Einstein condensate (BEC) are usually studied by solving the mean-field Gross–Pitaevskii (GP) equation, which is a nonlinear partial differential equation for short-range atomic interaction. More recently, BEC of atoms with long-range dipolar atomic interaction are used in theoretical and experimental studies. For dipolar atomic interaction, the GP equation is a partial integro-differential equation, requiring complex algorithm for i... Title of program: (i) imag1d, (ii) imag2d, (iii) imag3d, (iv) real1d, (v) real2d, (vi) real3d Catalogue Id: AEWL_v1_0 Nature of problem These programs are designed to solve the time-dependent nonlinear partial differential Gross-Pitaevskii (GP) equation with contact and dipolar interactions in one, two or three space dimensions in a harmonic anisotropic trap. The GP equation describes the properties of a dilute trapped Bose-Einstein condensate. Versions of this program held in the CPC repository in Mendeley Data AEWL_v1_0; (i) imag1d, (ii) imag2d, (iii) imag3d, (iv) real1d, (v) real2d, (vi) real3d; 10.1016/j.cpc.2015.03.024 AEWL_v2_0; DBEC-GP-CUDA package, consisting of: (i) imag2dXY-cuda, (ii) imag2dXZ-cuda, (iii) imag3d-cuda, (iv) real2dXY-cuda, (v) real2dXZ-cuda, (vi) real3d-cuda.; 10.1016/j.cpc.2015.11.014 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.25949/28319876.v1
title: Data and code for scientific paper: "Water quality changes, amphibian community response and chytrid infection load effects downstream from a coal mine"

description: This project contains data (and a README.txt file), R code for statistical analyses and figure generation for the study: "Water quality changes, amphibian community response and chytrid infection load effects downstream from a coal mine".Data was collected in the uppermost part of the Hacking River and nearby streams within 130 Royal National Park, which is approximately 30 km south of Sydney, NSW between 12 Dec 2022 and 28 Feb 2023. The aim of the study was to investigate the ecological and physico-chemical effects of being situated downstream from coal mine waste water discharge points.The analyses include Prinicple Component Analysis, Welch t test, Linear Models, Linear Mixed Models, and Generalised Linear Mixed Models.The figures include a Principle Component Analysis plot, boxplots with shape points, and bar plots.<b>Funding</b>. This study is partially funded by a local environmental group (the Sutherland Shire Environmental Centre) by means of a Local Environment of Australia Funding (LEAF) grant.<b>Ethics statement</b>. All procedures were conducted with approval from the Newcastle University Animal Ethics Committee (ARA Number: A-2019-924).<b>Permits</b>. Work is done under a scientific license (number: SL100190). Approval was given by NPWS to conduct surveys in the Royal National Park.
DOI: 10.6084/m9.figshare.22815531.v1
title: Inter-municipal governance networks: application of exponential random graph models in Los Lagos, Chile

description: Abstract The idea of governance has permeated the debates on the state’s transformation at the regional level since the 1990s. However, operationalization difficulties have limited our knowledge of the phenomenon. This article contributes to filling this gap by examining the inter-jurisdictional dimension of regional governance. From a network perspective, the article studies the emergence of inter-municipal networks from different local collaborative mechanisms. Based on the institutional collective action framework, the study analyzes the prevalence of network structures associated with different types of social capital (bonding/bridging) in three inter-municipal networks in the Los Lagos Region in Chile. The application of exponential random graph models (ERGM) revealed evidence supporting the consistent prevalence of bonding in the three networks studied. The findings also showed the networks’ coexistence with structures decentralized in more complex regional networks.