cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23813124
title: Supplementary Material for: Favorable impact of serum TERT C228T for prognosis after surgical resection for liver cancer

description: Introduction: Personalized medicine and molecular therapies with the diagnosis of somatic genetic alterations are expected to be developed for liver cancer. Nevertheless, it is unknown whether a mutation in the telomere reverse transcriptase promoter (TERT C228T) in serum cfDNA might be useful for making prognostic predictions after surgical resection for primary liver cancer. Methods: This cohort study retrospectively investigated 111 patients who had undergone surgical resection of liver cancer for the first time. We investigated the differences between clinicopathological features and prognosis according to classification of three tumor markers, including AFP, PIVKAII, and TERT C228T. Results: Multivariate analysis identified etiology (fatty liver disease versus HBV Odds ratio [OR] 6.853) and fibrosis stage (2–4, OR 0.137) as determinants of TERT C228T-positive liver cancer with normal levels of AFP and PIVKAII (TERT single positive liver cancer). TERT single positive (Yes, OR 0.301), fibrosis (FIB)-4 index (≥ 3.25, OR 2.038), Child–Pugh classification (B, OR 4.975), and number of tumors (≥ 2, OR 4.098) were identified as determinants of the recurrence of liver cancer. TERT single positive (Yes, OR 3.311), FIB-4 index (≥ 3.25, OR 0.433), and number of tumors (≥ 2, OR 0.262) were identified as determinants of disease-free survival. Conclusions: Our results highlight the impact of classification of prognostic tumor markers. TERT single positive is one predictor of favorable prognosis after surgical resection for liver cancer.
DOI: 10.6084/m9.figshare.23813166
title: Supplementary Material for: Favorable impact of serum TERT C228T for prognosis after surgical resection for liver cancer

description: Introduction: Personalized medicine and molecular therapies with the diagnosis of somatic genetic alterations are expected to be developed for liver cancer. Nevertheless, it is unknown whether a mutation in the telomere reverse transcriptase promoter (TERT C228T) in serum cfDNA might be useful for making prognostic predictions after surgical resection for primary liver cancer. Methods: This cohort study retrospectively investigated 111 patients who had undergone surgical resection of liver cancer for the first time. We investigated the differences between clinicopathological features and prognosis according to classification of three tumor markers, including AFP, PIVKAII, and TERT C228T. Results: Multivariate analysis identified etiology (fatty liver disease versus HBV Odds ratio [OR] 6.853) and fibrosis stage (2–4, OR 0.137) as determinants of TERT C228T-positive liver cancer with normal levels of AFP and PIVKAII (TERT single positive liver cancer). TERT single positive (Yes, OR 0.301), fibrosis (FIB)-4 index (≥ 3.25, OR 2.038), Child–Pugh classification (B, OR 4.975), and number of tumors (≥ 2, OR 4.098) were identified as determinants of the recurrence of liver cancer. TERT single positive (Yes, OR 3.311), FIB-4 index (≥ 3.25, OR 0.433), and number of tumors (≥ 2, OR 0.262) were identified as determinants of disease-free survival. Conclusions: Our results highlight the impact of classification of prognostic tumor markers. TERT single positive is one predictor of favorable prognosis after surgical resection for liver cancer.
DOI: 10.6084/m9.figshare.23813166.v1
title: Supplementary Material for: Favorable impact of serum TERT C228T for prognosis after surgical resection for liver cancer

description: Introduction: Personalized medicine and molecular therapies with the diagnosis of somatic genetic alterations are expected to be developed for liver cancer. Nevertheless, it is unknown whether a mutation in the telomere reverse transcriptase promoter (TERT C228T) in serum cfDNA might be useful for making prognostic predictions after surgical resection for primary liver cancer. Methods: This cohort study retrospectively investigated 111 patients who had undergone surgical resection of liver cancer for the first time. We investigated the differences between clinicopathological features and prognosis according to classification of three tumor markers, including AFP, PIVKAII, and TERT C228T. Results: Multivariate analysis identified etiology (fatty liver disease versus HBV Odds ratio [OR] 6.853) and fibrosis stage (2–4, OR 0.137) as determinants of TERT C228T-positive liver cancer with normal levels of AFP and PIVKAII (TERT single positive liver cancer). TERT single positive (Yes, OR 0.301), fibrosis (FIB)-4 index (≥ 3.25, OR 2.038), Child–Pugh classification (B, OR 4.975), and number of tumors (≥ 2, OR 4.098) were identified as determinants of the recurrence of liver cancer. TERT single positive (Yes, OR 3.311), FIB-4 index (≥ 3.25, OR 0.433), and number of tumors (≥ 2, OR 0.262) were identified as determinants of disease-free survival. Conclusions: Our results highlight the impact of classification of prognostic tumor markers. TERT single positive is one predictor of favorable prognosis after surgical resection for liver cancer.
DOI: 10.21227/qenj-fw73
title: ENHANCING IOT APPLICATIONS WITH MACHINE LEARNING: HUMAN UPPER BODY MOVEMENT RECOGNITION USING IMU SENSORS IN IOT-ENABLED SCHOOL BACKPACKS

description: Human biomechanics is still an active topic of research that requires more technological advancements and data collection of various human body movements. There is a need for methodologies to identify daily activities in various scenarios, such as one while carrying a school bag. Deakin university has developed an Internet of Things (IoT) enabled smart school bag consisting of motion analysis sensors that would recognize the activities performed while carrying the school bag. This paper describes the procedures for gathering human body movements data using an array of 6-Degree of Freedom (DoF) Inertial Measurement Unit (IMU) sensors fabricated to a student's backpack. However, we have two issues before successfully classifying the sensor data into activities. To overcome the initial issue of bias correction we have implemented a combination of linear regression analysis and Kalman filtering on individual sensor. To address the later issue of improving system accuracy, we have added a layer of sensor fusion to improve the redundancy and reliability in detecting the activities. Then the system is used to collect data for a certain set of body movements when carrying a backpack, which are used to train Machine learning model using Fine Gaussian Support Vector Machines (SVM) and the model was able to achieve a training accuracy of 99.7%. The ability to recognize human movement from a backpack will allow for future study in a wider range of research fields such as informing kids and parents about the discomfort level of carrying heavy bags and potential long-term musculoskeletal problems.
DOI: 10.5883/ds-alberu
title: First record of the alien azalea lace bug Stephanitis pyrioides (Scott, 1874) (Hemiptera: Heteroptera: Tingidae) in the European part of Russia

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-mirlatia
title: Surprising discovery of an enigmatic geometrid in Croatia: Mirlatia arcuata, gen. n., sp. n. (Lepidoptera, Geometridae)

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-fffcc00
title: Effect of fuchsin fixation of pollen on DNA barcode recovery

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-iahtp
title: Illustrated keys and a DNA barcode reference library of the amphibians and terrestrial reptiles (Amphibia, Reptilia) of Sao Tome and Principe (Gulf of Guinea, West Africa)

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.6084/m9.figshare.23813352
title: Supplementary Material for: Finerenone in Patients with Chronic Kidney Disease and Type 2 Diabetes: FIDELIO-DKD subgroup from China

description: Background: This prespecified subgroup analysis of the FIDELIO-DKD trial aimed to evaluate the efficacy and safety of finerenone in patients with chronic kidney disease (CKD) and type 2 diabetes mellitus (T2DM) in China. Methods: Three hundred and seventy-two participants were recruited from 67 centers in China and randomized 1:1 to oral finerenone or placebo with standard therapy for T2DM. The primary composite outcome included kidney failure, sustained decrease of estimated glomerular filtration rate (eGFR) ≥ 40% from baseline over at least 4 weeks, or renal death. The key secondary composite outcome included death from cardiovascular causes, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. Results: After a median follow-up of 30 months, the finerenone group showed a relative risk reduction (RRR) of 41% (hazard ratio [HR]=0.59, 95% confidence interval [CI], 0.39 to 0.88; p=0.009) for the primary composite outcome compared with placebo, consistent across its components with treatment benefits with finerenone. Based on an absolute between-group difference of 12.2% after 30 months, the number of patients who needed to be treated (NNT) with finerenone to prevent one primary outcome event was eight (95%CI: 4 to 84). For the key secondary composite outcome, the finerenone group showed a RRR of 25% (HR=0.75, 95% CI, 0.38 to 1.48; p=0.408). Adverse events were similar between the two groups. The effects of finerenone on blood pressure were modest. No gynecomastia events were reported in the study. Hyperkalemia leading to discontinuation occurred in eight (4.3%) and two (1.1%) participants in the finerenone and control groups, respectively. The incidence of acute kidney injury was comparable between the two groups (1.6% vs. 1.6%). Conclusions: Finerenone resulted in lower risks of CKD progression than placebo and a balanced safety profile in Chinese patients with CKD and T2DM.
DOI: 10.7934/p4762
title: A systematic revision of the family Harpetidae (Trilobita) (project)
DOI: 10.7934/x29369
title: A systematic revision of the family Harpetidae (Trilobita) [X29369] Matrix
DOI: 10.5281/zenodo.8201817
title: Supplementary Table 1. Identification of protein bands content by LC-MS/MS from fractions obtained from B. arietans venom after size exclusion chromatography.

description: FG1 to FG6 were cut from the gel and subjected to in-gel digestion with trypsin. Analysis was performed using an Easy-nLC Proxeon nanoHPLC system coupled to an LTQ-Orbitrap Velos. The results obtained were compared with the “<em>Bitis</em>” and “Snakes” database downloaded from Uniprot (Taxid: 8570).
DOI: 10.5281/zenodo.8201816
title: Supplementary Table 1. Identification of protein bands content by LC-MS/MS from fractions obtained from B. arietans venom after size exclusion chromatography.

description: FG1 to FG6 were cut from the gel and subjected to in-gel digestion with trypsin. Analysis was performed using an Easy-nLC Proxeon nanoHPLC system coupled to an LTQ-Orbitrap Velos. The results obtained were compared with the “<em>Bitis</em>” and “Snakes” database downloaded from Uniprot (Taxid: 8570).
DOI: 10.5281/zenodo.8199758
title: Dataset of experiments for optimization of Advanced Adsorption Module in SALTECH at Demosite 2

description: Data collected for the optimization of Advanced Adsorption Module in SALTECH at Demosite 2 including: 1) Study of adsorption of TOC and inorganics in activated carbons using wastewater from Demosite 2. 2) Studies of UV irradiation of saturated activated carbon in wastewater from Demosite 2.
DOI: 10.5281/zenodo.8199759
title: Dataset of experiments for optimization of Advanced Adsorption Module in SALTECH at Demosite 2

description: Data collected for the optimization of Advanced Adsorption Module in SALTECH at Demosite 2 including: 1) Study of adsorption of TOC and inorganics in activated carbons using wastewater from Demosite 2. 2) Studies of UV irradiation of saturated activated carbon in wastewater from Demosite 2.
DOI: 10.5281/zenodo.8198932
title: Data collected for the optimization of the Advanced Adsorption Module of MOBILE3TECH at Demosite 3

description: Data collected for the optimization of the Advanced Adsorption Module of MOBILE3TECH at Demosite 3 including: 1) Study of the adsorption behaviour of selected emerging pollutants (omeprazol, acetyl salycilic acid, paracetamol, tertbutylazine, metalachlor...) on carbon adsorbents (home-made and commercial, including those provided by the owner of DEMOSITE 3). 2) Studies of single component solutions and binary solutions in simultaneous and sequential modes. 3) UV irradiation of exhausted activated carbon under varied doses and characterization.
DOI: 10.5281/zenodo.8198933
title: Data collected for the optimization of the Advanced Adsorption Module of MOBILE3TECH at Demosite 3

description: Data collected for the optimization of the Advanced Adsorption Module of MOBILE3TECH at Demosite 3 including: 1) Study of the adsorption behaviour of selected emerging pollutants (omeprazol, acetyl salycilic acid, paracetamol, tertbutylazine, metalachlor...) on carbon adsorbents (home-made and commercial, including those provided by the owner of DEMOSITE 3). 2) Studies of single component solutions and binary solutions in simultaneous and sequential modes. 3) UV irradiation of exhausted activated carbon under varied doses and characterization.
DOI: 10.5281/zenodo.8201875
title: Enhancing stock price data analysis through variants of principal component analysis

description: The dataset used in the research titled "Enhancing stock price data analysis through variants of principal component analysis". It includes the daily closing prices of top 100 stocks in S&P500 from 29th March 2020 to 28th March 2023.
DOI: 10.5281/zenodo.8201874
title: Enhancing stock price data analysis through variants of principal component analysis

description: The dataset used in the research titled "Enhancing stock price data analysis through variants of principal component analysis". It includes the daily closing prices of top 100 stocks in S&P500 from 29th March 2020 to 28th March 2023.
DOI: 10.6084/m9.figshare.23813451
title: Supplementary Material for: Application of the cytokinesis-block micronucleus assay for high dose exposures using imaging flow cytometry

description: The cytokinesis-block micronucleus (CBMN) assay is a well-established method to assess radiation-induced genetic damage in human cells. This assay has been adapted to imaging flow cytometry (IFC), allowing automated analysis of many cells, and eliminating the need to create microscope slides. Furthermore, to improve the efficiency of assay performance, a small-volume method previously developed was employed. Irradiated human blood samples were cultured, stained, and analysed by IFC to produce images of the cells. Samples were run using both manual and 96-well plate automated acquisition. Multiple parameter-based image features were collected for each sample and the results were compared to confirm that these acquisition methods are functionally identical. This paper details the multi-parametric analysis developed, and the resulting calibration curves up to 10 Gy. The calibration curves were created using a quadratic random coefficient model with Poisson errors, as well as a logistic discriminant function. The curves were then validated with blinded, irradiated samples, using relative bias and relative mean square error. Overall, the accuracy of the dose estimates was adequate for triage dosimetry (within 1 Gy of the true dose) over 90% of the time for lower doses and about half the time for higher doses, with the lowest success rate between 5 and 6 Gy where the calibration curve reached its peak and there was the smallest change in MN/BNC with dose. This work describes the application of novel multi-parametric analysis that fits the calibration curves and allows dose estimates up to 10 Gy, which were previously limited to 4 Gy. Furthermore, it demonstrates that the results from samples acquired manually and with the autosampler are functionally similar.
DOI: 10.6084/m9.figshare.23812830.v1
title: <b>Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration</b>

description: Regridding Global CMIP6 GCMs dataset(0.5 degree) Historical dataset:14 CMIP6 GCMs (1950-2014)Future dataset: 14CMIP6 GCMs and 4 SSP scenarios (2015-2100)Composition of dataset: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiationIf you are using our codes and dataset, please use the following references:Song, Y.H., Chung, E.S., Shahid, S., Kim, Y.J., Kim, D.K. 2023. Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration. Scientific Data.<br>
DOI: 10.6084/m9.figshare.23813460
title: Supplementary Material for: Application of the cytokinesis-block micronucleus assay for high dose exposures using imaging flow cytometry

description: The cytokinesis-block micronucleus (CBMN) assay is a well-established method to assess radiation-induced genetic damage in human cells. This assay has been adapted to imaging flow cytometry (IFC), allowing automated analysis of many cells, and eliminating the need to create microscope slides. Furthermore, to improve the efficiency of assay performance, a small-volume method previously developed was employed. Irradiated human blood samples were cultured, stained, and analysed by IFC to produce images of the cells. Samples were run using both manual and 96-well plate automated acquisition. Multiple parameter-based image features were collected for each sample and the results were compared to confirm that these acquisition methods are functionally identical. This paper details the multi-parametric analysis developed, and the resulting calibration curves up to 10 Gy. The calibration curves were created using a quadratic random coefficient model with Poisson errors, as well as a logistic discriminant function. The curves were then validated with blinded, irradiated samples, using relative bias and relative mean square error. Overall, the accuracy of the dose estimates was adequate for triage dosimetry (within 1 Gy of the true dose) over 90% of the time for lower doses and about half the time for higher doses, with the lowest success rate between 5 and 6 Gy where the calibration curve reached its peak and there was the smallest change in MN/BNC with dose. This work describes the application of novel multi-parametric analysis that fits the calibration curves and allows dose estimates up to 10 Gy, which were previously limited to 4 Gy. Furthermore, it demonstrates that the results from samples acquired manually and with the autosampler are functionally similar.
DOI: 10.6084/m9.figshare.23813460.v1
title: Supplementary Material for: Application of the cytokinesis-block micronucleus assay for high dose exposures using imaging flow cytometry

description: The cytokinesis-block micronucleus (CBMN) assay is a well-established method to assess radiation-induced genetic damage in human cells. This assay has been adapted to imaging flow cytometry (IFC), allowing automated analysis of many cells, and eliminating the need to create microscope slides. Furthermore, to improve the efficiency of assay performance, a small-volume method previously developed was employed. Irradiated human blood samples were cultured, stained, and analysed by IFC to produce images of the cells. Samples were run using both manual and 96-well plate automated acquisition. Multiple parameter-based image features were collected for each sample and the results were compared to confirm that these acquisition methods are functionally identical. This paper details the multi-parametric analysis developed, and the resulting calibration curves up to 10 Gy. The calibration curves were created using a quadratic random coefficient model with Poisson errors, as well as a logistic discriminant function. The curves were then validated with blinded, irradiated samples, using relative bias and relative mean square error. Overall, the accuracy of the dose estimates was adequate for triage dosimetry (within 1 Gy of the true dose) over 90% of the time for lower doses and about half the time for higher doses, with the lowest success rate between 5 and 6 Gy where the calibration curve reached its peak and there was the smallest change in MN/BNC with dose. This work describes the application of novel multi-parametric analysis that fits the calibration curves and allows dose estimates up to 10 Gy, which were previously limited to 4 Gy. Furthermore, it demonstrates that the results from samples acquired manually and with the autosampler are functionally similar.
DOI: 10.15151/esrf-es-1240759769
title: Fe oxidation state in dense liquid silicates probed by XAS under dynamic compression

description: The present proposal aims at determining Fe oxidation state and local environment in dense (Mg,Fe)SiO3 liquids, but also the stability of these liquids against demixing of liquid metallic iron at planetary interior conditions. By determining these parameters as a function of pressure, temperature and concentration of Fe in both liquids and glasses, we expect to constrain the processes involved in the segregation of an iron-rich core from a silicate magma ocean and in the degassed atmosphere chemistry during the formation of terrestrial planets. (Mg,Fe)SiO3 liquids will be investigated by XAS coupled to laser-driven dynamic compression on the HPLF platform on ID24-ED beamline. In addition, XAS investigation of statically compressed glasses of similar composition at room temperature in DAC will be performed on BM23 beamline in order to have a good benchmark and support for the shock experiment thanks to a large EXAFS range, higher energy resolution and better signal to noise ratio.
DOI: 10.5281/zenodo.8191801
title: No More In-Context Learning? Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models

description: Data and models part of the replication package of the ICSE 24 submission entitled "<em>No More In-Context Learning? Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models</em>".
DOI: 10.5281/zenodo.8191800
title: No More In-Context Learning? Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models

description: Data and models part of the replication package of the ICSE 24 submission entitled "<em>No More In-Context Learning? Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models</em>".
DOI: 10.6084/m9.figshare.23812317
title: EARS 201801.zip

description: ERAS surface (i.e., 2m) temperature
DOI: 10.6084/m9.figshare.23812317.v2
title: EARS 201801.zip

description: ERAS surface (i.e., 2m) temperature
DOI: 10.6084/m9.figshare.23812317.v1
title: EARS 201801.zip

description: ERAS surface (i.e., 2m) temperature
DOI: 10.5281/zenodo.7152739
title: Apulian Aqueduct demo site: daily time series of reservoirs water levels and total releases 2010-2019

description: This dataset contains the time series of water levels and total releases (including spillways) measured by the competent authority for the main reservoirs of Apulian aqueduct (demo site 1), at a daily time step. Temporal coverage: 2010-2019 Spatial coverage: Reservoirs: Conza, Locone, Monte Cotugno, Occhito, Pertusillo Unit of measure: water level: masl releases: m<sup>3</sup>/sec More information and details on the content of this dataset can be found in Project Ô Deliverable D4.1.