cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20254116
title: Preferential Flow Mechanisms in the Qilian Mountains Based on Long-term Soil Moisture Observations and Machine Learning

description: These data contain experimental and computational results related to our latest work - Kang et al, " Preferential Flow Mechanisms in the Qilian Mountains Based on Long-term Soil Moisture Observations and Machine Learning ", under review.
DOI: 10.6084/m9.figshare.20254116.v3
title: Preferential Flow Mechanisms in the Qilian Mountains Based on Long-term Soil Moisture Observations and Machine Learning

description: These data contain experimental and computational results related to our latest work - Kang et al, " Preferential Flow Mechanisms in the Qilian Mountains Based on Long-term Soil Moisture Observations and Machine Learning ", under review.
DOI: 10.6084/m9.figshare.20254116.v2
title: Preferential Flow Mechanisms in the Qilian Mountains Based on Long-term Soil Moisture Observations and Machine Learning

description: These data contain experimental and computational results related to our latest work - Kang et al, " Preferential Flow Mechanisms in the Qilian Mountains Based on Long-term Soil Moisture Observations and Machine Learning ", under review.
DOI: 10.6084/m9.figshare.21586344
title: Supplementary Table 1_SourceData for Figure 3

description: Here we provide the Data Source file for generating Figure 3 for our review. <strong>Extracellular matrix dynamics as an emerging yet understudied hallmark of aging and longevity</strong> Cyril Statzer, Ji Young Cecilia Park, and Collin Y. Ewald Aging and Disease http://dx.doi.org/10.14336/AD.2022.1116
DOI: 10.34740/kaggle/dsv/4541531
title: AutoXGB
DOI: 10.34740/kaggle/dsv/4541525
title: Health Workforce Shortage Areas
DOI: 10.25584/1595069
title: A global DSCOVR/EPIC-based hourly/daily shortwave radiation/PAR dataset

description: Accurate characterization of the global downward shortwave (SW) and photosynthetically active radiation (PAR) is fundamental for Earth system modeling and global change research. Combined with a machine-learning method, we used the Earth Polychromatic Imaging Camera (EPIC) data onboard the Deep Space Climate Observatory (DSCOVR) to generate the global SW/PAR dataset at both hourly and daily temporal scales and 0.1degree×0.1degree spatial resolution. Covering a period from June, 2015 to June (about 4 years), 2019, the dataset consists of total SW/PAR and their direct and diffuse components. Our dataset will be valuable for understanding the diurnal cycles and seasonal patterns of ecosystem processes, as well as the solar energy utilizations
DOI: 10.5281/zenodo.3941462
title: Model simulation data used in "Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54" (Beer et al., Geosci. Model Dev., 2020)

description: This dataset contains the output and the namelist setups of the EMAC-MADE3 global model simulations analysed and discussed in Beer et al. (<em>Geosci. Model Dev.</em>, 2020).
DOI: 10.5281/zenodo.3978746
title: Tidal Gravity Variations Measured by a Fedchenko AChF-3 Precise Pendulum Clock

description: This dataset consists of 6 months (3 months in the fall of 1968 and in the fall of 1969) of the fractional frequency error of a Fedchenko AChF-3 Precise Pendulum Clock. The frequency of the pendulum varies with the value of the gravitational acceleration, and for this system the stability of the pendulum is such that tidal variations in gravity are visible. The readme file describes the source of the data and the file formats in more detail. A full discussion of these data is available in D. C. Agnew (2020), Time and Tide: Pendulum Clocks and Gravity Tides, <em>History of Geo- and Space Sciences, <strong>11, </strong></em>in press.
DOI: 10.5281/zenodo.6586309
title: Processed data and scripts for visualization of Kotsuki et al. (2022; GMDD)

description: Processed data and scripts for visualization of Kotsuki et al. (2022; GMDD)
DOI: 10.5281/zenodo.7188334
title: Upper lithospheric structure of northeastern Venezuela from joint inversion of surface wave dispersion and receiver functions

description: Dataset from the publication: <strong>Upper lithospheric structure of northeastern Venezuela from joint inversion of surface wave dispersion and receiver functions</strong>. DOI: 10.5194/egusphere-2022-230 Includes: <em><strong>EGFs, Dispersion Curves measurements, RFs, Vs3dmodel and Moho depths</strong></em>
description: {"references": ["https://doi.org/10.5194/egusphere-2022-230"]}
DOI: 10.5285/5afccfe5-142e-4e93-a6cc-55216fa1db06
title: A comprehensive suite of earthquake catalogues for the 2016-2017 Central Italy seismic sequence

description: A set of six large catalogues documenting the seismic sequence that occurred in central Italy between 2016 and 2017, characterized by a cascade of four MW5.5–6.5 events. The earthquake catalogues possess different levels of resolution and completeness that result from progressive enhancements in both detection sensitivity and hypocentral location determination. These quality differences reflect the subsequent application of advanced methods.
DOI: 10.6084/m9.figshare.21581097
title: Supplementary Material for: Targeted Metabolomic Profiling of Plasma Samples in Gastric Cancer by Liquid Chromatography-Mass Spectrometry

description: <b><i>Introduction:</i></b> As the high mortality rate of gastric cancer (GC) is due to delayed diagnosis, early detection is vital for improved patient outcomes. Metabolic deregulation plays an important role in GC. Although various metabolite-level biomarkers for early detection have been assessed, there is still no unified early detection method. We conducted a plasma metabolome study to assess metabolites that may distinguish GC samples from non-GC samples. <b><i>Methods:</i></b> Blood samples were collected from 72 GC patients and 29 control participants (non-GC group) at the Tokyo Medical University Hospital between March 2020 and November 2020. Hydrophilic metabolites were identified and quantified using liquid chromatography-time-of-flight mass spectrometry. Differences in metabolite concentrations between the GC and non-GC groups were evaluated using the Mann-Whitney test. The discrimination ability of each metabolite was evaluated by the area under the receiver operating characteristic curve. A radial basis function (RBF) kernel-based support vector machine (SVM) model was developed to assess the discrimination ability of multiple metabolites. The selection of variables used for the SVM utilized a step-wise regression method. <b><i>Results:</i></b> Of the 96 quantified metabolites, 8 were significantly different between the GC and non-GC groups. Of these, <i>N</i><sup>1</sup>-acetylspermine, succinate, and histidine were used in the RBF-SVM model to discriminate GC samples from non-GC samples. The area under the curve (AUC) of the RBF-SVM model was higher (0.915; 95% CI: 0.865–0.965, <i>p</i> &lt; 0.0001), indicating good performance of the RBF-SVM model. The application of this RBF-SVM to the validation dataset resulted from the AUC of the RBF-SVM model was (0.885; 95% CI: 0.797–0.973, <i>p</i> &lt; 0.0001), indicating the good performance of the RBF-SVM model. The sensitivity of the RBF-SVM model was better (69.0%) than those of the common tumor markers carcinoembryonic antigen (CEA) (10.5%) and carbohydrate antigen 19-9 (CA19-9) (2.86%). The RBF-SVM showed a low correlation with CEA and CA19-9, indicating its independence. <b><i>Conclusion:</i></b> We analyzed plasma metabolomics, and a combination of the quantified metabolites showed high sensitivity for the detection of GC. The independence of the RBF-SVM from tumor markers suggested that their complementary use would be helpful for GC screening.
DOI: 10.7289/v5x0659v
title: Earth System Research Laboratory Halocarbons and Other Atmospheric Trace Gases Chromatograph for Atmospheric Trace Species (CATS) Measurements
DOI: 10.6084/m9.figshare.21581283
title: Supplementary Material for: Epiretinal Membrane Surgery for a Patient with Dyskinesia Related to Parkinson’s Disease Using Intravenous Dexmedetomidine Administration

description: General anesthesia is usually selected when patients cannot remain still during surgery with local anesthesia. However, damage to the lungs from positive pressure ventilation under general anesthesia is a major concern in patients with Parkinson’s disease. We report a case in which dyskinesia related to Parkinson’s disease was attenuated by intravenous dexmedetomidine (DEX) administration, following which epiretinal membrane (ERM) and inner limited membrane peeling could be smoothly performed. A 68-year-old woman with systemic dyskinesia related to Parkinson’s disease underwent cataract surgery for her right eye with local anesthesia (topical anesthesia with 4% lidocaine and sub-Tenon’s anesthesia with 2% lidocaine and 30% nitrous oxide inhalation). During the surgery, continuous involuntary facial movement related to Parkinson’s disease remained uncontrollable. One week later, she underwent cataract surgery and pars plana vitrectomy for the ERM of her left eye. In addition to local anesthesia (topical anesthesia with 4% lidocaine and retrobulbar anesthesia with 2% lidocaine and 30% nitrous oxide inhalation), the patient received intravenous DEX, which halted movement from the beginning of surgery until the end. Therefore, ERM surgery was performed without the influence of dyskinesia. This case highlights that intravenous DEX administration can inhibit dyskinesia related to Parkinson’s disease during ERM surgery, which is among the most delicate microscopic procedures performed in ophthalmological settings. Additional studies are required to examine the actual effectiveness of DEX administration in patients with Parkinson’s disease-related dyskinesia undergoing ophthalmological procedures.
DOI: 10.6084/m9.figshare.21582618
title: Supplementary Material for: Development of the Story Telling Examination for Early Mild Cognitive Impairment (Pre-Mild Cognitive Impairment) Screening

description: <b><i>Introduction:</i></b> Cognitive function prior to mild cognitive impairment (MCI) has become a burgeoning interest. Tools used to detect this early period before MCI are being pilot-tested. This study aimed to develop a new test to detect pre-MCI and to examine its content validity and feasibility. <b><i>Methods:</i></b> The Story Telling Examination for Early MCI Screening (STEEMS), an audio cognitive test, was developed. It covers ten cognitive domains, e.g., executive function, language fluency, abstract reasoning. Face and content validity were examined by experts in geriatric psychiatry and psychology. The content validity index was 1.00. STEEMS comprised 12 items with 2–4 types of scoring. The tool was further examined in 16 pilot samples for feasibility among healthy participants having no cognitive impairment (Montreal Cognitive Assessment [MoCA] test score ≥25, Mini-Cog ≥3) and no depressive symptoms (Geriatric Depression Scale &lt;6). <b><i>Results:</i></b> The 16 healthy older individuals aged 59–73 years, mean age was 65.06 ± 4.07 years, were predominantly males (68.8%). STEEMS scores ranged from 10 to 25, with a mean of 18.38 (SD = 4.2). Thirteen percent obtained 100% correct on the STEEMS, 63% scored 68–92% correct, and 25% scored 40–60% correct. The pre-MCI scores are illustrated by a bell curve’s graphical depiction, suggesting a normal distribution probability distribution. Correlation between STEEMS and MoCA test scores was observed. STEEMS showed to be feasible for early elderly or late adults as being brief and easy to understand. The time spent to administer was predictably less than 7 min. <b><i>Discussion/Conclusion:</i></b> STEEMS could potentially serve as a tool for pre-MCI screening. Further study and investigation in a larger population are required.
DOI: 10.6084/m9.figshare.21582873
title: Supplementary Material for: Baseline Clinical Characteristics and Complement Biomarkers of Patients with C3 Glomerulopathy Enrolled in Two Phase 2 Studies Investigating the Factor D Inhibitor Danicopan

description: <b><i>Introduction:</i></b> C3 glomerulopathy (C3G) is a rare, progressive kidney disease resulting from dysregulation of the alternative pathway (AP) of complement. Biomarkers at baseline were investigated in patients with C3G who participated in two phase 2 studies with the factor D (FD) inhibitor, danicopan. <b><i>Methods:</i></b> Patients with biopsy-confirmed C3G, proteinuria ≥500 mg/day, and estimated glomerular filtration rate (eGFR) ≥30 mL/min/1.73 m<sup>2</sup> were enrolled into two studies (NCT03369236 and NCT03459443). Biomarker analysis was performed for patients with C3G confirmed by central pathology laboratory re-evaluation. Complement and clinical biomarkers, biopsy composite score, and activity and chronicity indices were assessed at baseline and analyzed by pairwise Spearman correlation analysis. <b><i>Results:</i></b> Twenty-nine patients were included in the analysis (median [interquartile range] age: 24.0 [10.0] years). Systemic complement AP activation was evident by reduced median concentrations of C3 and C5, elevated sC5b-9, and normal C4, relative to reference ranges. C3 showed strong pairwise correlations with C5 and sC5b-9 (<i>r</i> = 0.80 and −0.73, respectively; <i>p</i> &lt; 0.0001). Baseline Ba and FD concentrations were inversely correlated with eGFR (<i>r</i> = −0.83 and −0.87, respectively; <i>p</i> &lt; 0.0001). Urinary concentrations of sC5b-9 were correlated with both plasma sC5b-9 and proteinuria (<i>r</i> = 0.69 and <i>r</i> = 0.83, respectively; <i>p</i> &lt; 0.0001). Biopsy activity indices correlated strongly with biomarkers of systemic AP activation, including C3 (<i>r</i> = −0.76, <i>p</i> &lt; 0.0001), whereas chronicity indices aligned more closely with eGFR (<i>r</i> = −0.57, <i>p</i> = 0.0021). <b><i>Conclusion:</i></b> Associations among complement biomarkers, kidney function, and kidney histology may add to the current understanding of C3G and assist with the characterization of patients with this heterogenous disease.
DOI: 10.6084/m9.figshare.21582888
title: Supplementary Material for: Automatic Approach Behaviors in Alcohol Dependence: Does a Cognitive Bias Modification Training Affect Pavlovian-to-Instrumental Transfer Effects?

description: <b><i>Introduction:</i></b> Positively conditioned Pavlovian cues tend to promote approach and negative cues promote withdrawal in a Pavlovian-to-instrumental transfer (PIT) paradigm, and the strength of this PIT effect was associated with the subsequent relapse risk in alcohol-dependent (AD) patients. When investigating the effect of alcohol-related background cues, instrumental approach behavior was inhibited in subsequent abstainers but not relapsers. An automatic approach bias towards alcohol can be modified using a cognitive bias modification (CBM) intervention, which has previously been shown to reduce the relapse risk in AD patients. Here we examined the effects of such CBM training on PIT effects and explored its effect on the relapse risk in detoxified AD patients. <b><i>Methods:</i></b> <i>N</i> = 81 recently detoxified AD patients performed non-drug-related and drug-related PIT tasks before and after CBM versus placebo training. In addition, an alcohol approach/avoidance task (aAAT) was performed before and after the training to assess the alcohol approach bias. Patients were followed up for 6 months. <b><i>Results:</i></b> A stronger alcohol approach bias as well as a stronger non-drug-related PIT effect predicted relapse status in AD patients. No significant difference regarding relapse status or the number of heavy drinking days was found when comparing the CBM training group versus the placebo group. Moreover, there was no significant modulation effect of CBM training on any PIT effect or the aAAT. <b><i>Conclusion:</i></b> A higher alcohol approach bias in the aAAT and a stronger non-drug-related PIT effect both predicted relapse in AD patients, while treatment outcome was not associated with the drug-related PIT effect. Unlike expected, CBM training did not significantly interact with the non-drug-related or the drug-related PIT effects or the alcohol approach bias.
DOI: 10.15129/b16d05fc-fca5-47a9-b18e-8a1936ce7c22
title: Data for: "Stand-alone vacuum cell for compact ultracold quantum technologies"

description: The data associated with the two figures (1 and 2) in the paper.
DOI: 10.23641/asha.17704391.v1
title: The English–Spanish Vocabulary Inventory (De Anda et al., 2022)

description: <b>Purpose:</b> Despite the increasing population of dual language learners (DLLs) in the United States, vocabulary measures for young DLLs have largely relied on instruments developed for monolinguals. The multistudy project reports on the psychometric properties of the English–Spanish Vocabulary Inventory (ESVI), which was designed to capture unique cross-language measures of lexical knowledge that are critical for assessing DLLs’ vocabulary, including translation equivalents (whether the child knows the words for the same concept in each language), total vocabulary (the number of words known across both languages), and conceptual vocabulary (the number of words known that represent unique concepts in either language).<b>Method: </b>Three studies included 87 Spanish–English DLLs (<i>M</i><sub>age</sub> = 26.58 months, <i>SD </i>= 2.86 months) with and without language delay from two geographic regions. Multiple measures (e.g., caregiver report, observation, behavioral tasks, and standardized assessments) determined content validity, construct validity, social validity, and criterion validity of the ESVI.<b>Results: </b>Monolingual instruments used in bilingual contexts significantly undercounted lexical knowledge as measured on the ESVI. Scores on the ESVI were related to performance on other measures of communication, indicating acceptable content, construct, and criterion validity. Social validity ratings were similarly positive. ESVI scores were also associated with suspected language delay.<b>Conclusions: </b>These studies provide initial evidence of the adequacy of the ESVI for use in research and clinical contexts with young children learning English and Spanish (with or without a language delay). Developing tools such as the ESVI promotes culturally and linguistically responsive practices that support accurate assessment of DLLs’ lexical development.<br><b>Supplemental Material S1. </b>English–Spanish Vocabulary Inventory (ESVI) correlations across studies.<br><b>Supplemental Material S2. </b>English–Spanish Vocabulary Inventory (ESVI) regression results across studies.<br>De Anda, S., Cycyk, L. M., Moore, H., Huerta, L., Larson, A. L., & King, M. (2022). Psychometric properties of the English–Spanish Vocabulary Inventory in toddlers with and without early language delay. <i>Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2021_JSLHR-21-00240
DOI: 10.23728/b2share.109960a9fb42427b9d0a85b998b9d18c
title: A Quantile Regression Forests approach for sedigraph-reconstruction and sediment yield calculation

description: Data set accompanying the publication "Reconstructing five decades of sediment export from two glaciated high-alpine catchments in Tyrol, Austria, using nonparametric regression". The data set contains 1. the code of the quantile regression forest model applied in the above mentioned manuscript to reconstruct suspended sediment concentrations and yields for the past five decades at the two nested gauges Vernagt (VF) and Vent (V) in the Upper Ötztal, Austria, 2. the preprocessed input data (discharge, precipitation, air temperature and suspended sediment concentrations derived from turbidity measurements) for both gauges, and 3. the model results.
description: 1. The model code is a modified version of this code: https://github.com/TillF/ssc_prediction (Jan 18th 2022) Modifications: - extended preprocessing steps in different temporal resolutions - includes tuning of aggregation factors, which determine the time span of antecedent hydroclimatic (discharge, temperature, precipitation) conditions included in the calculations 2. The input data are preprocessed versions of the original data which have been provided by the Hydrographic Service of Tyrol, Austria, and the Bavarian Academy of Sciences and Humanity, Munich, Germany, or are already available online (see table A1 in the appendix of the above mentioned manuscript for details): - gaps have been filled as far as possible, which includes combining and converting data from different stations, and - the data have been aggregated or disaggregated to achieve consistent temporal resolutions. 3. The model results can be found in the folder *GAUGE_NAME*/reconstruction_model/5_model_application/MC_01 - in the temporal resolution of the model (i.e. daily or hourly) as one table per year (e.g. flood_periods_quantForest_*GAUGE_NAME*_hist1.txt) - aggregated to annual suspended sediment yields (flood_periods_quantForest_*GAUGE_NAME*.txt)
DOI: 10.5281/zenodo.3766689
title: JCrashPack: A Java Crash Reproduction Benchmark

description: A Java Crash reproduction benchmark
description: {"references": ["Soltani, M., Derakhshanfar, P., Devroey, X. and van Deursen, A. (2020). A benchmark-based evaluation of search-based crash reproduction. In Empirical Software Engineering. 25, 1 (Jan. 2020), pp. 96\u2013138.", "Derakhshanfar, P., Devroey, X., Perrouin, G., Zaidman, A. and Van Deursen, A. (2020). Search-based Crash Reproduction using Behavioral Model Seeding. In Software Testing Verification and Reliability. 30, 3 (May 2020), e1733.", "Soltani, M., Derakhshanfar, P., Panichella, A., Devroey, X., Zaidman, A. and van Deursen, A. (2018). Single-objective Versus Multi-objectivized Optimization for Evolutionary Crash Reproduction. In: Search-Based Software Engineering (SSBSE '18). Montpellier, France: Springer."]}
DOI: 10.5281/zenodo.3928281
title: IPBES regions and sub-regions

description: <strong>This dataset describes the IPBES regions and sub-regions and their corresponding countries or areas.</strong> ipbes_regions_subregions.csv GID_0: Corresponds to the GID from GADM (https://gadm.org/) and offered to facilitates the preparation of maps ISO_3166_alpha_3: Corresponds to the International Standard for country codes and codes for their subdivisions (https://www.iso.org/iso-3166-country-codes.html) Region: Corresponds to IPBES regions Sub-region: Corresponds to IPBES subregions ipbes_regions.png: map of the IPBES regions (Robinson projection https://epsg.io/54030) ipbes_sub_regions.png: map of the IPBES sub-regions (Robinson projection https://epsg.io/54030) ipbes_regions_shapefile.R: The R code used to link the "ipbes_regions_subregions.csv" to GADM (https://gadm.org/) boundaries ipbes_region_mapping.R The R code used to map the IPBES regions and sub-regions.<br> <br> <em>Inquiries: IPBES technical support unit on knowledge and data - tsu.data@ipbes.net</em>
description: The assignment of countries or areas to specific groupings is for statistical convenience and does not imply the expression of any opinion whatsoever on the part of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services concerning the legal status of any country, territory, city or area of its authorities, or concerning the delimitation of its frontiers or boundaries.