cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9943058.v1
title: A global database of marine bivalve growth rates and parameters derived from von bertalanffy growth curves

description: The growth rates of bivalves are a commonly measured physiological characteristic, and have regularly been reported through the parameters of the von Bertalanffy growth model. Here, we provide a comprehensive database of measured values of growth rates from the scientific literature (1930 - 2019). Our data represents 243 species of bivalve from 44 families and all biogeographic realms. We provide metadata relating to the source, mean bottom temperature, geographic locations, particulate organic carbon flux to seafloor, and calculated overall growth performance. Data from species reared artificially for aquaculture have been excluded from this database, so our data only represent natural <i>in situ</i> populations. <br>The dataset provides an opportunity to critically examine relationship between growth rates, temperature, and geography. This contributes to a globally coherent understanding of how physiological parameters change across wide biogeographic boundaries, and how they may respond to climate change.
DOI: 10.17632/jpwzm9knmb
title: Quantum Dissipative Dynamics (QDD): A real-time real-space approach to far-off-equilibrium dynamics in finite electron systems

description: In this paper, we present “QDD” (Quantum Dissipative Dynamics), a code package for simulating the dynamics of electrons and ions in finite electron systems (atoms, molecules, clusters) under the influence of external electromagnetic fields. Electron emission is properly accounted for. The novel feature of the present code is that it also covers the description of dissipative dynamics induced by dynamical correlations generated by electron-electron collisions.

The paper reviews the underlying theoretical as well as numerical methods and demonstrates the code's capabilities on a selection of typical examples.
DOI: 10.6084/m9.figshare.12459665.v1
title: Upper mantle P-wave tomography UAE

description: P-wave tomographic model of the upper mantle beneath the UAE.
DOI: 10.6084/m9.figshare.24270517.v1
title: Psychophysiological and emotional effects during interactions with a dog by activity type: An electroencephalogram study

description: This study compared the psychophysiological and emotional responses during diverse activities with a dog to understand the impact of activity type. This study included 30 healthy adults. Participants performed eight different activities with a dog for 3 minutes each. Brain waves in the prefrontal, frontal, parietal, and occipital lobes were measured during the activities. Subjective evaluation of their emotions was recorded after each activity via the Profile of Mood States, Semantic Differential Method, and Stress Numeric Rating Scale. Brain wave analysis was performed using Bioteck Analysis Software (Bioteck; Daejeon, South Korea). The collected raw EEG data were analyzed for relative alpha (RA), relative slow alpha (RSA), relative fast alpha (RFA), relative beta (RB), relative low beta (RLB), and relative mid beta (RMB) power spectra. Descriptive statistical analyses were performed using SPSS version 25 for Windows (IBM Corp., Armonk, NY, USA). For the EEG and subjective evaluation data, a one-way analysis of variance (ANOVA) and Duncan’s post-hoc analysis were used to compare each activity. A p-value of &lt; 0.05 was considered statistically significant. This study was approved by the Institutional Bioethics Committee of Konkuk University (7001355-202201-HR-504).
DOI: 10.6084/m9.figshare.28596647.v1
title: Supplementary Material for: Sacubitril-Valsartan Lowers Blood Pressure in Patients on Dialysis - A Randomized Controlled Multicenter Study

description: Introduction: Individuals with end-stage kidney disease (ESKD) frequently grapple with uncontrolled hypertension, which elevates their risk for cardiovascular complications.
Methods: This randomized, controlled, multicenter study, conducted across 10 hospitals, aimed to compare the effectiveness and safety of Sacubitril-valsartan (ARNI) versus irbesartan (ARB) in managing hypertension among dialysis patients. The primary efficacy variable of the present study was the reduction in office blood pressure (BP) after 12 months of treatment. Participants were randomly allocated to receive either Sacubitril-valsartan or irbesartan treatment over a 12-month period. We gauged treatment efficacy through office and 24-hour ambulatory blood pressure readings, as well as serum concentrations of N-terminal pro-brain natriuretic peptide (NT-pro-BNP). Safety outcomes were also evaluated.
Results: Baseline office BP averaged 150/82 mm Hg and median NT pro-BNP was 6336 pg/ml. In the intention-to-treat analysis, office systolic BP reduction was significantly greater in the ARNI than ARB group (-10.4 vs -4.6 mmHg, P= 0.003) after adjustment for baseline BP. In hemodialysis (HD) patients, the mean systolic/diastolic BP reduction was also greater in the ARNI than ARB group (-15.9/2.4 vs -6.6/1.1 mmHg, P&lt;0.05). While for peritoneal dialysis (PD) patients, there were no significant between-group differences (P≥0.087). Per-protocol analyses in 215 patients on office BP and 137 patients on 24-hour BP produced similar results. During the study period, there was no between-group difference in the overall incidence of fatal and nonfatal events and hyperkalemia.
Conclusions: In dialysis patients with hypertension, especially those undergoing HD, ARNI demonstrated superior effectiveness in reducing blood pressure compared to ARB. The safety profiles of both treatments were comparable and acceptable.
DOI: 10.6084/m9.figshare.6397277.v1
title: H2Db:Kb peptides used for spectral library generation

description: H2Db:Kb-peptide spectral library generation. Final list of high-confidence H2Db peptides (9-11aa, NetMHC&lt;500nM, 1% FDR) from 19 mouse tissues and 4 cell lines. Peptide sequence, source protein, source cell line/tissue, spectral counts (SC), length and predicted H2Db binding affinity (NetMHC) is indicated.
DOI: 10.6084/m9.figshare.7203404.v1
title: Graph Input Data Example

description: This Excel file provides a detailed example of the computation data needed to compute risk, Safety, Security and other system properties.
DOI: 10.6084/m9.figshare.1610063.v2
title: HOPV15 Dataset

description: Standard data sets used for the calibration of computational results have been extremely useful for the development of electronic structure methods and their application to areas such as thermochemistry1–3 as well as non-covalent interactions4,5. To our knowledge, the field of organic photovoltaics, specifically as it pertains to high-throughput virtual screening, lacks a similar collection of data. Since the relationship between theoretically predicted and experimentally observed properties is often non-trivial, the dissemination of directly comparable data for a well-defined set of molecules can be a great asset to accelerate advances in this field. The Harvard Organic Photovoltaic Dataset (HOPV15) presented in this work is a collation of experimental photovoltaic data from the literature, and corresponding quantum-chemical calculations performed over a range of geometries, each with quantum chemical results using a variety of density functionals and basis sets. It is anticipated that this dataset will be of use in both relating electronic structure calculations to experimental observations through the generation of calibration schemes, as well as for the creation of new semi-empirical methods and the benchmarking of current and future model chemistries in the domain of organic electronics.
DOI: 10.17632/9gx4dy6j9c
title: BoltzTraP. A code for calculating band-structure dependent quantities

description: Abstract A program for calculating the semi-classic transport coefficients is described. It is based on a smoothed Fourier interpolation of the bands. From this analytical representation we calculate the derivatives necessary for the transport distributions. The method is compared to earlier calculations, which in principle should be exact within Boltzmann theory, and a very convincing agreement is found. Title of program: BoltzTrap Catalogue Id: ADXU_v1_0 Nature of problem Analytic expansion of energy-bands. Calculation of semi-classic integrals Versions of this program held in the CPC repository in Mendeley Data ADXU_v1_0; BoltzTrap; 10.1016/j.cpc.2006.03.007 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.19310675.v2
title: SingleCellData (raw)

description: Unannotated single cell RNA count matrices for MERFISH mouse liver and kidney data in .h5ad format. Used in Figures 3, 4, and 5
DOI: 10.6084/m9.figshare.21550155.v3
title: Information disclosure index of sustainable development of listed firms in China 2010-2019

description: This is the dataset on corporate sustainability disclosure of Chinese listed firms in 2010-2019. This dataset includes the Corporate Sustainability Disclosure Index (CSDI), CSDI_Economic Dimension (CSDI_ECO), CSDI_Environmental Dimension (CSDI_ENV), and CSDI_Social Dimension (CSDI_SOCI).
DOI: 10.6084/m9.figshare.3561201.v1
title: Deciphering molecular aspects of interaction between anticancer drug mitoxantrone and tRNA

description: Mitoxantrone (1,4-dihydroxy-5,8-bis[[2-[(2-hydroxyethyl)amino]ethyl]amino]-9,10-anthracenedione) is a synthetically designed antineoplastic agent and structurally similar to classical anthracyclines. It is widely used as a potent chemotherapeutic component against various kinds of cancer and possesses lesser cardio-toxic effects with respect to naturally occurring anthracyclines. In the present study, we have investigated the binding features of mitoxantrone–tRNA complexation at physiological pH using attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy, circular dichroism (CD) spectroscopy, isothermal titration calorimetry, and UV–visible absorption spectroscopic techniques. FTIR analysis reveals that mitoxantrone interacts mainly with heterocyclic base residues of tRNA along with slight external binding with phosphate–sugar backbone. In particular, mitoxantrone binds at uracil (C=O) and adenine (C=N) sites of biomolecule (tRNA). CD spectroscopic results suggest that there is no major conformational transition in native A-form of tRNA upon mitoxantrone–tRNA adductation except an intensification in the secondary structure of tRNA is evident. The association constant calculated for mitoxantrone–tRNA association is found to be 1.27 × 10<sup>5</sup> M<sup>−1</sup> indicating moderate to strong binding affinity of drug with tRNA. Thermodynamically, mitoxantrone–tRNA interaction is an enthalpy-driven exothermic reaction. Investigation into drug–tRNA interaction can play an essential role in the rational development of RNA targeting chemotherapeutic agents, which also delineate the structural–functional relationship between drug and its target at molecular level.
DOI: 10.17632/7dwkn45mkr
title: A decision matrix containing the values of the alternatives for evaluation of Polish voivodeships regarding RES share in electric power capacity and electric energy production

description: A decision matrix containing the values of the alternatives for the criteria considered for 2019 for evaluation of Polish voivodeships regarding RES share in electric power capacity and electric energy production. The LaTex and pdf formats are available.
DOI: 10.6084/m9.figshare.5242027.v2
title: Templates

description: A list of seed templates used for generating SPARQL in LC-QuAd<br>
DOI: 10.6084/m9.figshare.8970050.v1
title: Raw data_A study of postpartum health care provided by community health volunteers in the Philippines.xlsx

description: This is raw data of the paper "Current status and challenges regarding the provision of postpartum healthcare services by community health volunteers in the Philippines: A qualitative content analytic study".
DOI: 10.17632/ckhp24wpx3
title: A new theoretical finding relating subatomic particles' mass to the square of the magnetic flux quantum provides a new interpretation for mass.

description: The motivation for investigating the issues presented in this article stemmed from a need to understand better the relationship in long-established physics formulas and extract the information they provided using conventional methods. Based on the definition of magnetic flux quantization, which is based on a combination of fundamental physical constants, the Planck constant, and the particle’s elementary charge, this work explores the results that arise when this equation is combined with the equation of the Bohr-level electrostatic force acting on the electron, which leads to a new mathematical relationship between the combined expressions. The new relationship yields novel theoretical findings related to the known universal constants. Following this insight, the formalism developed in this paper indicates that the mass of the electron and other subatomic particles is associated with the magnitude of the square of the magnetic flux quantum, which makes up the particle. This conclusion is not as strange as it may seem, as the square of the magnetic flux quantum appears in the context of magnetic energy in a current loop and, according to Einstein’s special theory of relativity, energy is equivalent to mass. The theoretical results are in full accordance with experimental results published by NIST CODATA 2018 that I’ve used, which validates the existence of the relationship. The distinction between gravitational and inertial mass, which are ultimately equivalent, indicates that the relationship between the particle’s mass and the square of the magnetic flux quantum is another aspect of mass originating from the particle’s interaction with the Higgs field.
DOI: 10.17632/dns8gmbfsv
title: Research Data: Fluid systems captured by giant amethyst-hosted fluid inclusions from continental flood basalts

description: Research Data for paper titled: Fluid systems captured by giant amethyst-hosted fluid inclusions from continental flood basalts
DOI: 10.17632/fkbjjf95ws
title: CIE urine color

description: This excel file contains the CIE urine color during dehydration and rehydration
DOI: 10.6084/m9.figshare.16939306.v1
title: Identifications and Organizational Communicativeness as Antecedents_Data_3.xlsx

description: Сокращение : II D - межличностная идентификация , MgI D - идентификация микрогруппы , GI D - идентификация группы и OI D - идентификация организации . QIS - <i>предлагает </i><i>качественные </i><i>идеи </i><i>и </i><i>предложения,</i> а HS - предоставляет помощь и поддержку. <i></i><i></i><i> </i><i></i><i> </i><i></i> ОК - организационная коммуникативность.<br>
DOI: 10.6084/m9.figshare.22007003.v1
title: The Secret Life of CVEs - code and dataset

description: The Secret Life of CVEs - code and dataset. <br> Code is also available on https://github.com/ncusi/secret_life_of_CVEs <br> Code requires python 3 to run. Results of each script are saved in data directory, files without extension are pandas dataframes saved with parquet. <br> To replicate the results only, without recreating all dataset files use Jupyter notebooks from "notebooks" directory. <br> To recreate data extraction from WoC servers: Run "projects_stats/with_CVS_in_commit_message_ignore_case.sh" on WoC servers Run "cat search.CVE_in_commit_message_ignore_case.lstCmt_9.out |cut -d';' -f1 | ~/lookup/getValues c2P 1 &gt; projects_with_CVE_fix.txt" on WoC servers Run "cve_search_parser.py search.CVE_in_commit_message.lstCmt_9.out projects_with_CVE_fix.txt cve_df_filename" on WoC servers Copy the result cve_df_filename to local machine and replace cve_df_filename in data folder To recreate data processing and filtering on local machine use "dvc repro" in main directory, which will run all scripts according to "dvc.yaml", replacing data folder content when needed.
DOI: 10.6084/m9.figshare.24717828.v2
title: Project Paper_Financial Econometrics

description: Project paper, Financial Econometrics Class
DOI: 10.6084/m9.figshare.6815705.v8
title: JARVIS-DFT 2D dataset (jdft_2d.json)

description: Dataset for 2D materials Websites: 1) https://jarvis.nist.gov/jarvisdft ,<br> 2) https://jarvis-tools.readthedocs.io/en/master/databases.html , 3) https://jarvis-tools.readthedocs.io/en/master/publications.html <br> Loading the dataset: <br> unzip d2-12-12-2022.json.zip <br> import os, json import pandas as pd f = open('d2-12-12-2022.json', 'r') data2d=json.load(f) f.close() <br> df=pd.DataFrame(data2d) print (df) <br> or <br> pip install jarvis-tools from jarvis.db.figshare import data data2d = data('dft_2d') <br> ######################################### For more details about using the dataset, use the jupyter-notebooks: https://github.com/JARVIS-Materials-Design/jarvis-tools-notebooks
DOI: 10.6084/m9.figshare.3563895.v1
title: Supplement 1. Habitat breadth indices for 22 330 terrestrial vertebrate species.

description: File List Habitat_breadth_index.txt (MD5: a1b4363c509cb7e5204d6578fc059fcd) Description Habitat breadth indices calculated for 22 330 terrestrial vertebrates. Both the multiplicative and additive beta diversity indices are given, calculated within and among classes. Habitat breadth estimated as the total number of habitat subtypes in which a species occurs, based on the 101 habitat subtypes described by the IUCN is also given, as well as the number of habitat categories occupied by each species, with habitat types classified according to Bennett and Owens (2002), constructed by clustering IUCN habitat types into their eight proposed groups.
DOI: 10.6084/m9.figshare.5028110.v1
title: Raw Data

description: Raw data includes the inputs data for evaluating the proposed model. Those data are downloaded from WIND database, CSMAR database and Investing.com.<br>
DOI: 10.6084/m9.figshare.21878391.v1
title: CellPainting dataset for the 9989 chemicals

description: Dataset extracted from the original study "Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes." (Bray et al. 2016 Nature Protocols), used for the study "Linking chemicals, genes and morphological perturbations to diseases" (Cerisier et al., 2023, Toxicology and Applied Pharmacology). <br> It contains data on 732 morphological features for the 9989 compounds mentioned in the study. <br> The molecules are named by their inchikey or their BROAD_ID (molecule ID provided by the Broad Institute) and the values are the zscore of morphological perturbations (level 5). A zscore is the number of standard deviations above (positive zscore) or below (negative zscore) the population mean.
DOI: 10.6084/m9.figshare.22240644.v1
title: Tabla Dataset1_SM_reads_dic22.xls from High taxonomic diversity and miniaturization in benthic communities under persistent natural CO<sub>2</sub> disturbances

description: Metabarcoding techniques have revolutionized ecological research in recent years, facilitating the differentiation of cryptic species and revealing previously hidden diversity. In the current scenario of climate change and ocean acidification, biodiversity loss is one of the main threats to marine ecosystems. Here, we explored the effects of ocean acidification on marine benthic communities using DNA metabarcoding to assess the diversity of algae and metazoans. Specifically, we examined the natural pH gradient generated by the Fuencaliente CO<sub>2</sub> vent system, located near La Palma Island (Canary Islands). High-resolution COI metabarcoding analyses revealed high levels of taxonomic diversity in an acidified natural area for the first time. This high number of species arises from the detection of small and cryptic species that were previously undetectable by other techniques. Such species are apparently tolerant to the acidification levels expected in future oceans. Hence and following our results, future subtropical communities are expected to keep high biodiversity values under an acidification scenario, although they will tend toward overall miniaturization due to the dominance of small algal and invertebrate species, leading to changes in ecosystem functions.
DOI: 10.6084/m9.figshare.25712886.v1
title: Supplementary Material for: Safety of Percutaneous Dilatational Tracheostomy in Critically Ill Patients with Liver Cirrhosis

description: Introduction: Percutaneous Dilatational Tracheostomy (PDT) is a safe and cost-effective alternative to surgical tracheostomy. Cirrhotic patients often require ICU admission and prolonged mechanical ventilation. Patients with liver cirrhosis (LC) are known to have coagulopathy and relatively safe and simple procedures such as tracheostomy may be associated with high complication rates, specifically high bleeding rates. Current guidelines are unable to make a specific recommendation on the safety of PDT among cirrhotic patients. We aimed to evaluate the safety of PDT in critically ill patients with LC.

Methods: A retrospective chart review identified critically ill patients who underwent PDT between 1/2012 and 3/2023. The study group was defined as all patients with a diagnosis of LC. The primary outcome was early (7-day) bleeding, categorized as minor or major. Secondary outcomes were PDT-related and 30-day all-cause mortality. Propensity score matching was performed to adjust the imbalances between the groups. 

Results: A total of 1,628 were included in the analysis. Thirty-three of them (2.0%) had LC. In the LC group, only one patient (3.0%, 95% CI 0.0%-15.8%) developed early bleeding. Intra-operative, early, late bleeding, and PDT-related mortality rates did not differ significantly between those with LC and those without. 

Conclusion: This retrospective cohort study indicates that PDT can be safely performed in critically ill cirrhotic patients, without significantly increasing the risk of bleeding complications.
DOI: 10.6084/m9.figshare.28087454.v1
title: New SAR11 isolate genomes from the tropical Pacific Ocean

description: These SAR11 isolates were isolated from surface seawater of the tropical Pacific Ocean collected from Kāneʻohe Bay, Oʻahu, Hawaiʻi. While SAR11 is found throughout the global surface ocean there is a lack of isolate genomes, these representatives from within and outside of Kāneʻohe Bay, Oʻahu, Hawaiʻi provide insight into complex SAR11 populations.