cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3993774.v1
title: Accumulation of nodularin in New Zealand shortfin eel (<i>Anguilla australis</i>): potential consequences for human consumption

description: The native <i>Anguilla australis</i> (shortfin eel) is a culturally significant species for indigenous Māori populations of New Zealand. At Lake Forsyth/Te Wairewa (Canterbury), local Māori have depended on <i>A. australis</i> as a source of mahinga kai (traditional food) for centuries. This lake experiences blooms of <i>Nodularia spumigena</i> and the associated hepatotoxin nodularin has been detected in water samples. This study aimed to determine if nodularin accumulated in <i>A. australis</i>, and whether levels posed a health risk for human consumption. The maximum concentrations of <i>N. spumigena</i> and nodularin detected in lake water samples were 240 × 10<sup>6</sup> cells/mL and 91,000 µg/L, respectively. Nodularin was detected in the liver and muscle of eels (max. 147 µg/kg in liver and 29 µg/kg in muscle). One muscle sample exceeded the recommended levels for safe human consumption of nodularin in fish (24 μg/kg).
DOI: 10.6084/m9.figshare.4232141.v1
title: gam-data.Rdata

description: These are body temperatures and body size data for Natrix natrix. Second file is r-script to generate results published in the paper below. Paper can be obtained below, or by emailing the authors.<br>Paper available at<br>http://www.sciencedirect.com/science/article/pii/S0306456516301759
DOI: 10.6084/m9.figshare.6615461.v2
title: SCZ summary statistics for 103 loci

description: LD matrices and Z scores for 103 pruned loci.
DOI: 10.17632/s37fhsnpd9
title: databases for "Lithium-rich basement brines: activity versus concentration geothermometry"

description: Implemented Pitzer and pygcc thermodynamic datasets for PhreeqcI version 3 (Parkhurst and Appelo, 2013) and the The Geochemist’s Workbench®, version 7 (Bethke and Yeakel, 2007). The Microsoft® Excel file containing best fittings of the logK versus temperature values of the equation 1÷4 is also enclosed in the zip file.
For details, please see the manuscript Boschetti et al. 2024 "Lithium-rich basement brines: activity versus concentration geothermometry" on Geothermics (Elsevier).
DOI: 10.17632/xn5ntwbtjz
title: SMA library for metabolites identification and quantification in cheese whey permeate (CWP)

description: Metabolite library built from NMR spectra for metabolomic analysis of cheese whey permeate (CWP) using the Simple Mixture Analysis (SMA) tool implemented in MestreNova 14.3 software.

Metabolites included: 2,3-Butandiol, Acetate, Alanine, Betaine, Choline, Citrate, Creatine, Creatinine, Ethanol, Fumarate, Hippurate, Lactate, Lactose, Orotate, Succinate, α-D-Galactose, β-D-Galactose

Sample CWP in PB 10 mM (10% D2O) pH 7.4, TSP (1mM), Diluition Factor (10%)

File included: SMA library .exp files and optimized .cmp files
DOI: 10.6084/m9.figshare.7613060.v1
title: Survey data of the identification of each herb by the three expert group(csv)

description: Survey data of the identification of each herb by the three expert group(csv)
DOI: 10.17632/mrh7ncjgpw
title: Gaze behavior of swimming artistic judges in the assessment of figures

description: Gaze behavior and performance parameters from artistic swmming judges in the assessment of figures Straight Ballet Leg and Rio. Each judge evaluated two trials of each figure.
DOI: 10.6084/m9.figshare.15142464.v1
title: Phenotype file for genetic correlation

description: Combined phenotype data for both exposure experiments. All Animal IDs are present in the AllPedigree.csv pedigree file.Animal = animal IDFamily = VIMS familyReplicate = replicate basket Tank = tank numberSireID and DamID = father and mother IDLength = individual height (mm)Day dead = day of death in the experiment, NA = aliveSurvival = 1 - dead, 0 - alive
DOI: 10.6084/m9.figshare.25511770.v4
title: Datasets

description: WinnowNet is a deep learning architecture for rescoring PSM candidates from multiple search engines for metaproteomics.Prosit_training_PSMs.tsv: training samples (PSMs) from ProteomeTools datasetProsit_validation_PSMs: validation samples (PSMs) from ProteomeTools dataset
DOI: 10.6084/m9.figshare.25849084.v1
title: Parsed GBIF global plant occurrence data 1.0

description: Unique collection events (28492644) of all vascular plant specimens preserved in herbarium from the Biodiversity Information Facility (GBIF). The occurrences were processed by the ParseGBIF package workflow (https://github.com/pablopains/parseGBIF; https://doi.org/10.1038/s41598-024-56158-3), designed to verify and standardize scientific names of species according to the World Checklist of Vascular Plants taxonomic backbone and to analyze duplicate records in 'unique collection events'. This dataset represents 'unique collection events' of useable data with successfully verified geographic coordinates.Data Columns:Ctrl_gbifID - GBIF IDparseGBIF_sample_taxon_name - The accepted TAXON_NAME selected is that which has most frequently been applied to the duplicate records at, or below, the rank of species. Where two names are applied with equal frequency, the first TAXON_NAME listed in alphabetical order is chosen to enable automation of the process. parseGBIF_wcvp_family - family from WCVP parseGBIF_wcvp_plant_name_id - WCVP IDparseGBIF_decimalLatitud - decimal latitudeparseGBIF_decimalLongitude - decimal longitudeCtrl_key_family_recordedBy_recordNumber - A string that combined the plant family name + the first collector’s surname + the collection number.parseGBIF_coordinate_status - s (success) in re-verifying geographic coordinates parseGBIF_dataset_result - (us) useable dataset
DOI: 10.6084/m9.figshare.9249536.v1
title: The effect of IFRS on CSR reporting

description: These data is related to the project titled "Does IFRS promote Corporate Social Responsibility reporting: Evidence from IFRS convergence in India.
DOI: 10.17632/kysvf67trx
title: Option listing and underlying commodity futures volatility in China

description: This study examines the impact of option listing on the volatility of underlying commodity futures markets in China. We construct the counterfactual volatility for these optioned commodity futures and estimate the average treatment effect of option listing. Using a panel data approach based on Hsiao et al. (2012), referred to as HCW, we incorporate conventional information criteria (including AIC, AICC and BIC) as well as the LASSO (Least Absolute Shrinkage and Selection Operator) method to select optimal control units from a large set of alternatives for the treatment units.
DOI: 10.17632/zjrc34pc3p
title: Authentic Islamic knowledge dataset

description: A dataset of Islamic knowledge collected from authentic sources in Saudi Arabia.
DOI: 10.6084/m9.figshare.1153794.v1
title: Berea Sandstone

description: Berea sandstone image size: 400 by 400 by 400 voxel size : 5.345 (µm)
DOI: 10.6084/m9.figshare.13073237.v1
title: dock fraction

description: 黄芪活性化合物与CRPC分子对接的数据
DOI: 10.6084/m9.figshare.27179952.v1
title: Permeability data for micro- and macrocracked Lanhélin granite samples measured at elevated pressure and temperature

description: Text files contain raw data obtained during permeability measurements on micro cracked granite samples using either a steady-state method (indicated as SS in the file name) or a pulse decay method (indicated as P in the file name). The recorded variables include Time (in seconds), Flowrate (in mln/min) and Differential pressure (in mbar).Excel files contain raw data obtained during permeability measurements on micro- and macrocracked samples using a steady-state method. They also serve directly as spreadsheets for the derivation of permeability and the corrections for fluid-flow related artefacts (Forchheimer and Klinkenberg effects) and temperature effects.
DOI: 10.6084/m9.figshare.7991318.v1
title: Otitis media with effusion: Pediatric hearing thresholds

description: The data set was used to determine whether a full range of pure tone audiometric frequencies is required to assess hearing loss caused by otitis media with effusion in children, and if different combinations of test frequency pure tone averaging calculations may affect clinical decision criteria for surgical treatment. Using a retrospective cohort study design, anonymized right and left ear air conduction pure tone threshold data were obtained, from 125 Hz to 8 kHz, for 96 children with OME aged 4 to 12 years. Audiometric data related to ear and gender are shown in the data set.
DOI: 10.4121/20511111.v2
title: ACCEPT campaign - Parsivel disdrometer Drop Size Distribution (DSD)

description: The DSD data were collected by a Parsivel optical disdrometer located at the Cabauw, CESAR observatory (Experimental Site for Atmospheric Research) during ACCEPT campaign (Analysis of the Composition of Clouds with Extended Polarization Techniques) in October and November 2014, in a collaboration between TROPOS (Leibniz Institute for Tropospheric Research) and Delft University of Technology.
DOI: 10.6084/m9.figshare.16689472.v1
title: Aligned peritrichid 18S dataset used for phylogeny reconstruction on 27 September 2021.

description: The 18S rRNA dataset comprises 18S sequence of <i>Lagenophrys </i>sp. from <i>Cryptocandona</i> sp. (INSD accession number LC651416), those used in Liao et al. (2021: Molecular Phylogenetics and Evolution 158: 107089), and one of <i>Urceolaria parakorschelti </i>(KP698204).<br>"18S_mafft.fas" is one that was aligned by using the Q-INS-i strategy in MAFFT ver. 7.<br>"18S_mafft_trimm.fas" represents the trimmed version of 18S_mafft.fas; it was trimmed in MEGA7 to match the shortest length.<br>18S_mafft_trim.fas was used to reconstruct peritrich phylogeny in Kakui and Munakata (accepted: Bulletin of the Otaru Museum).
DOI: 10.6084/m9.figshare.7932422.v4
title: Insight4news Irish news related hashtagged tweet collection 15.07.2015-24.05.2017

description: <pre>The 1.3GB .tar.gz file contains a 3.6GB (uncompressed) .txt file with <b>198'725'860</b> rows, each row of which is a tweet ID.</pre><pre>These tweets have been collected in <i>15.07.2015-24.05.2017</i> period with the <i>Hashtagger</i> platform (presented in https://doi.org/10.1145/2872427.2882982 by Shi et al.), which considered these tweets relevant to the monitored stream of news from Irish sources (The Irish Times, Irish Examiner, etc.). </pre><pre><br></pre><pre>All 198'725'860 tweets are in English (with 'en' in the 'lang' field of the json objects, privided by GNIP) and contain at least one hashtag. <br></pre><pre><br></pre><pre>Hydrate the tweet ids with Twarc (https://github.com/edsu/twarc) and write to a file. You will need to provide Twarc with a set of Twitter API keys.</pre><pre><i> twarc.py --hydrate tweet_ids.txt &gt; tweets.json</i><br></pre><pre></pre><pre>It is probably not a good idea to hydrate all the tweets in one go, and may be better to split the file into chunks and hydrate the tweets chunk-by-chunk. </pre><pre><br></pre><pre><br></pre><pre>When using the dataset, please cite the following paper, for which this dataset was generated for. <b><br></b></pre><pre><b>SocialTree: Socially Augmented Structured Summaries of News Stories</b></pre><pre><i>Gevorg Poghosyan</i>, <i>Georgiana Ifrim</i> </pre><pre>Proceedings of 30th ACM Conference on Hypertext & Social Media (HT ’19), 2019</pre><pre>https://doi.org/10.1145/3342220.3343668 </pre>
DOI: 10.17632/dgzkyjrr7y
title: CRC-UGDH

description: Supplementary materials for the research.
DOI: 10.17632/rw56nvg9zy
title: Biomarkers of systemic inflammation is associated to disease severity and metabolic syndrome in patients with hidradenitis suppurativa - supplementary material

description: Supplementary material for the study "Biomarkers of systemic inflammation is associated to disease severity and metabolic syndrome in patients with hidradenitis suppurativa", published in JAAD International
DOI: 10.17632/stf3kg7fw3
title: Bankruptcy Prediction Using Deep Learning with Textual Information

description: The database is constructed by the textual data and numerical data. The textual data includes Risk Factors (Rifa), Management’s Discussion and Analysis of Financial Condition and Results of Operations (MD&A), which are Item 1A and Item 7 in the annual 10-K fillings, respectively, and text data from Twitter. The numerical data(39FV_2021June(2).csv) contains financial ratios and accounting variables. 10-K disclosure textual data and tweets data are in NUM10K and NUMtw files. They can be used to train bankruptcy prediction models solely or with numerical data. Our study aims to investigate methods of managing textual data from various sources and to develop a model that combines textual and numerical data to increase prediction power.


 Compustat North America : https://wrds-www.wharton.upenn.edu/
S.E.C website: https://www.sec.gov/edgar/search-and-access
Twitter: https://mobile.twitter.com
DOI: 10.6084/m9.figshare.16869571.v1
title: EMDS-7 DataSet

description: The Environmental Microorganism Image Dataset Seventh Version (EMDS-7) is a microscopic image data set, including the original Environmental Microorganism images (EMs) and the corresponding object labeling fifiles in ".XML" format fifile. The EMDS-7 data set consists of 41 types of EMs, which has a total of 2365 images and 13216 labeled objects.
DOI: 10.6084/m9.figshare.21302052.v1
title: Plagiarism Assessment Survey Data

description: The survey data resulted from "Developing a Comprehensive Plagiarism Scoring Rubric" published by Education and Information Technologies at https://doi.org/10.1007/s10639-022-11365-1.
DOI: 10.6084/m9.figshare.7105202.v1
title: Discovering in vivo cytokine-eQTL interactions from a lupus clinical trial datasets

description: In a clinical trial for anti-IL-6 in patients with systemic lupus erythematosus we measured interferon (IFN) status, anti-IL-6 drug exposure and genome-wide gene expression at three time points (379 samples from 157 individuals). <br>We mapped eQTLs by applying a random intercept linear mixed model using the first 25 principal components of gene expression and the first 5 principal components of genotyping as covariates. We used subject as a random effect. <br>We defined cis eQTL as the SNP within 250kb upstream of the GENCODE transcription start site of the gene or 250kb downstream of the transcription end site.<br><br>Expression_levels.txt: Gene expression data log2(cpm+1)<br>eQTL_summary_statistics.txt: Cis eQTL summary statistics for all gene SNP pairs tested
DOI: 10.17632/pg8hnttzkm
title: Data from an online survey on initial trust in artificial intelligence for production management tasks

description: In an online survey with n = 130 participants potential factors influencing initial trust in AI were asked. These are (1) digital affinity of the respondent, (2) expert status in production management of the respondent, (3) perceived capabilities of the AI, (4) perceived explainablitiy of the AI, (5) predictability of the decision situation and (6) costs of a wrong decision in the present decision situation. The factors (1) and (2) were measured as between subjects, whereas the factors (3) - (6) are within subject factors.
DOI: 10.6084/m9.figshare.13767502.v2
title: Rat 7M Videos Subject 4 - Day 1

description: All videos for Subject 4, Day 1 in Rat 7M.<br><br>The video naming scheme is s{subject_id}-d{recording_day}-camera{camera_id}-{starting_frame_idx}.mp4.<br><br>Subject ID, recording day, and camera ID match videos to the data in the motion capture and camera calibration parameter .mat files.<br><br>Videos are provided in 3500 frame chunks, with the index of the starting frame in each file denoted by the {starting_frame_idx} portion of the filename.<br><br>Using the 'frames' field in the 'cameras' struct inside 'mocap.mat', the corresponding video file and frame index can be calculated by used frame_idx // 3500 to get the {starting_frame_idx} and frame_idx % 3500 to get the frame in that file. <br>
DOI: 10.6084/m9.figshare.14139530.v1
title: Supplementary Material for: Association between Speech Recognition in Noise and Risk Factors of Cardiovascular Disease

description: <b><i>Introduction:</i></b> Risk factors for cardiovascular disease (CVD) are associated with sensorineural hearing loss. CVD risk factors are known to cluster and interact, thereby increasing the cumulative risk for CVD. Previously, using the database of the Netherlands Longitudinal Study on Hearing (NL-SH), an association was found between a history of smoking and an increased decline in speech recognition in noise over 10 years of follow-up. Prospectively limited data are available on the association between CVD risk factors, interactions of these risk factors, and hearing loss. In this study, data from the NL-SH were used to study the association between CVD risk factors and speech recognition in noise longitudinally. <b><i>Methods:</i></b> Baseline, 5-year, and 10-year follow-up data of the NL-SH were included. The NL-SH is a web-based prospective cohort study which started in 2006. Participants were aged 18–70 years at baseline. Speech recognition in noise was determined with an online digit-triplet speech-in-noise test. In addition, participants completed online questionnaires on demographic, lifestyle, and health-related characteristics. The association of the ability to recognize speech in noise with CVD risk factors (i.e., obesity, rheumatoid arthritis [RA], hypertension, diabetes mellitus, and dyslipidemia) was analyzed longitudinally. We also analyzed the interaction between these risk factors (including age, sex, and history of smoking) and speech recognition in noise. <b><i>Results:</i></b> None of the CVD risk factors or interactions of 2 CVD risk factors was significantly associated with a decline in SRT over time. Obesity (<i>p =</i> 0.016), RA (<i>p =</i> 0.027), and hypertension (<i>p =</i> 0.044) were associated with overall higher (more unfavorable) SRTs. No overall interactions between CVD risk factors were found. <b><i>Conclusion:</i></b> Obesity, RA, and hypertension were overall associated with a higher SRT, but no longitudinal associations between these or other CVD factors with SRTs were found. Also, no interactions between 2 CVD risk factors and SRTs were found. Although no longitudinal associations between CVD risk factors and decline in SRTs were found, clinicians should be alert about the concurrent association between CVD risk factors and hearing loss.
DOI: 10.6084/m9.figshare.24458707.v1
title: Supplementary Material for: Exposure to low doses of phthalates in male rodents: Effects on reproductive and cognitive behaviors

description: The nervous system is a sensitive target for exposure to environmental endocrine-disrupting compounds (EDC). This vulnerability is particularly important during the critical windows of development and puberty and lasts even at later stages of life. Among these environmental EDC, phthalates have largely been described for their neurotoxic effects. These effects have been reported for a large majority of studies using high to very-high doses of these substances, which are not relevant for environmental exposure. The aim of this review is to analyze specifically the male rodent studies using low doses of phthalates. This analysis focuses on reproductive and cognitive behaviors, given the described anti-androgenic effects of phthalates and the known regulation of these behaviors by sex steroids. We also analyze the other neural effects in the hypothalamus and hippocampus, the brain regions governing these behaviors. A particular focus is on the neurovascular unit, which is newly investigated in the field of endocrine disruption.
DOI: 10.6084/m9.figshare.24471793.v2
title: Non-targeted metabolome analysis and comparison of metabolites from the filaments and fermentation broth of a Penicillium loci from the rhizosphere of Peucedanum praeruptorum Dunn

description: 100 μL of sample was transferred to an EP tube. After the addition of 300 μL of extract solution (methanol, containing isotopically-labelled internal standard mixture), the samples were vortexed for 30 s, sonicated for 10 min in ice-water bath, and incubated for 1 h at -40 ℃ to precipitate proteins. Then the sample was centrifuged at 12000 rpm(RCF=13800(×g),R= 8.6cm) for 15 min at 4 ℃. The resulting supernatant was transferred to a fresh glass vial for analysis. The quality control (QC) sample was prepared by mixing an equal aliquot of the supernatants from all of the sample.LC-MS/MS analyses were performed using an UHPLC system (Vanquish, Thermo Fisher Scientific) with a UPLC HSS T3 column (2.1 mm × 100 mm, 1.8 μm) coupled to Orbitrap Exploris 120 mass spectrometer (Orbitrap MS, Thermo). The mobile phase consisted of 5 mmol/L ammonium acetate and 5 mmol/L acetic acid in water (A) and acetonitrile (B). The auto-sampler temperature was 4 ℃, and the injection volume was 2 μL. The Orbitrap Exploris 120 mass spectrometer was used for its ability to acquire MS/MS spectra on information-dependent acquisition (IDA) mode in the control of the acquisition software (Xcalibur, Thermo). In this mode, the acquisition software continuously evaluates the full scan MS spectrum. The ESI source conditions were set as following: sheath gas flow rate as 50 Arb, Aux gas flow rate as 15 Arb, capillary temperature 320 ℃, full MS resolution as 60000, MS/MS resolution as 15000 collision energy as 10/30/60 in NCE mode, spray Voltage as 3.8 kV (positive) or -3.4 kV (negative), respectively.The raw data were converted to the mzXML format using ProteoWizard and processed with an in-house program, which was developed using R and based on XCMS, for peak detection, extraction, alignment, and integration. Then an in-house MS2 database (BiotreeDB) was applied in metabolite annotation. The cutoff for annotation was set at 0.3.
DOI: 10.6084/m9.figshare.5129611.v1
title: Supplementary Material for: Patient Adherence to Biologic Agents in Psoriasis

description: <b><i>Background:</i></b> Low adherence to therapies in psoriasis decreases treatment outcomes and increases the total health care costs. In spite of the wide use of biologic agents, patients' adherence to these drugs has not been extensively investigated. <b><i>Objective:</i></b> The aim of this study is to measure adherence to the biologic drugs in a population of patients treated for psoriasis vulgaris using the medication possession ratio (MPR) index and to survey patients' attitudes to the treatment. <b><i>Methods:</i></b> This is a single-center study on 247 patients with psoriasis vulgaris treated with adalimumab (n = 113), etanercept (n = 39), and ustekinumab (n = 95). MPR calculation was calculated monthly based on the hospital records documenting the dispensing of biologics to the patients. Clinical data [Psoriasis Area and Severity Index (PASI), Dermatology Life Quality Index (DLQI), presence of psoriatic arthritis, concomitant treatment, and cause for treatment discontinuation] were obtained from the national database DERMBIO. Patients' attitudes and beliefs were measured using the Medication Adherence Rating Scale (MARS). <b><i>Results:</i></b> A total of 93.5% of all patients had an MPR ≥0.8, indicating very good adherence. MPR was independent of patients' age, gender, median PASI or DLQI score, concomitant diagnosis of psoriatic arthritis, or treatment with methotrexate. MPR for etanercept was slightly lower than that for ustekinumab and adalimumab. The MARS questionnaire documented satisfactory understanding of the treatment and its adverse effects, and positive attitudes to the treatment. <b><i>Conclusion:</i></b> Adherence to biologic therapies is very high in patients with psoriasis, which is consistent with a positive attitude to the treatment.