cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5132341.v1
title: Supplementary Material for: Investigation of an Immediate Effect of Bright Light on Oxygen Consumption, Heart Rate, Cortisol, and α-Amylase in Seasonal Affective Disorder Subjects and Healthy Controls

description: <b><i>Background:</i></b> Body (fat) mass has been shown to decrease following bright light treatment for overweight women, irrespective of their seasonal (light) dependence. It is not known if this is due to an (immediate) increase of metabolism. <b><i>Methods:</i></b> Ten women with seasonal affective disorder (SAD) and 10 non-SAD women matched by age, body mass index, and menopausal status participated in a laboratory study in the morning, twice within 1-5 days. During one session, bright light (4,300 lx) was presented for 30 min, and during the other session, red light (250 lx “placebo”) was used. After an initial 15 min of sitting quietly in an experimental chamber, 10-min measurements were done before, at the end, and 15 min after light exposure; the subjects remained seated for 80 min in total. The measurements included 5-min oxyspirography (oxygen consumption, carbon dioxide emission, and heart rate), saliva sampling for the estimation of cortisol and α-amylase concentrations, and self-rating of mood, energy, and sleepiness. <b><i>Results:</i></b> There was no light-specific effect on the measured variables, except that sleepiness was reduced more with bright light than with red light in the combined group. α-Amylase values were lower in the SAD patients than in the non-SAD controls. <b><i>Conclusions:</i></b> Morning artificial bright light, in comparison with dim red light, had no immediate effect on metabolism and resting sympathetic tone, though subjective sleepiness decreased more with bright light. SAD patients have low salivary α-amylase levels, indicating lower sympathetic tone.
DOI: 10.17632/s6zy5jmfkf
title: Dataset on Analysis of Recommendation System factors effectivity in influencing continuance usage intention in e-commerce

description: Dataset on an extended technology acceptance model for analyzing recommendation system factors influencing continuance usage intention.
DOI: 10.17632/scmz2vr49s
title: Surface plasmon resonance dataset of Trypanosoma evansi RoTat1.2 variant surface glycoprotein antigen interaction with monoclonal antibody- coated biosensors

description: The surface plasmon resonance (SPR) bio-(immuno-)sensors are being developed for the diagnosis of infectious diseases, cancers, food safety, etc. The SPR immunosensor using a monoclonal antibody as the capture biomolecule coated onto the gold chip allows direct, rapid, real-time, label-free, quantitative and cost-effective detection of the target antigens as analyte in a test sample. We developed for the first time SPR immunosensors using two monoclonal antibodies, viz., 2E11 (IgG1) and 1C2 (IgG1), produced in our laboratory for real-time, label-free, and rapid detection of their target antigen, i.e., Trypanosoma evansi RoTat 1.2 variant surface glycoprotein (VSG) in sera samples from the laboratory rodents and the field bovines [File 1 pdf]. First, we produced by the hybridoma technique several mAbs that reacted with the T. evansi RoTat 1.2 lysate Ags [File 2 pdf]. One of these mAbs, viz., 2E11 mAb was then used to immunoprecipitate the target Ag in the parasite lysate [Fig. 1A & 1B; File 3 pdf], which was then identified as T. evansi VSG by mass spectrometry [Fig. 2; File 3 pdf & File 4 Excel data]. Both 2E11 and 1C2 mAbs reacted with the VSG Ag in the Western blots [Fig. 3; File 3 pdf]. Then, the interactions of these mAbs with the above VSG Ag in the parasite lysate were analyzed by the respective SPR-immunosensor. The immunosensor was developed by binding of the biotinylated mAbs onto streptavidin immobilized on the gold chip [Dutra, RF and Kubota, LT. (2006). Clinica Chimica Acta. 379, 114-120]. The equilibrium dissociation constants (KD= kd/ka) of mAbs-VSG were determined to be 127 nM (ka=196.4 ± 61.9 s-M-; kd=2.51E-05 s-) for 2E11 mAb and 290 pM (ka=4616.1 ± 170.1 s-M-; kd=1.36E-06 s-) for 1C2 mAb (Table 1 pdf; Files 5 & 6 Excel data; Fig. 4-5 pdf). Further, we produced the SPR data and the sensograms of the interactions of 2E11 and 1C2 mAbs with the VSG Ag in the sera samples of the parasite-infected laboratory rodents as well as the test sera samples from the field cattle and buffaloes [File 7 with Fig. 6-11 Excel data; Fig. 6-11 pdf; File 8 with Fig. 13-17 Excel data; Fig. 12-17 pdf]. In addition, the kinetic parameters of the mAb interactions with two synthetic peptide mimotopes of the VSG were determined (Table 1 pdf; File 9 with Fig. 18-21 Excel data; Fig. 18-21 pdf). The peptide mimotopes of VSG were previously selected by PhD-12 phage display library panning against 2E11 and 1C2 mAbs in another study [Dataset reference: Mendeley Data, V2, doi: 10.17632/bs6pbskc8n.2]. These data provide valuable information for developing the real-time, label-free, SPR- based immunosensors for the diagnosis of surra caused by Trypanosoma evansi infection in a wide variety of domestic, zoo, and wildlife animal species.
DOI: 10.6084/m9.figshare.24000006.v2
title: DGA samples

description: DGA samples related to power grid PTs, distributed throughout Ecuador, certified through internal inspections of Substation Specialist (EMS) companies based on ASTM D-3612 by method C of 2019, 2021, 2022.
DOI: 10.6084/m9.figshare.4233584.v1
title: Mackey-Glass time series

description: Mackey-Glass time series<br>
DOI: 10.17632/68frhzp8kd
title: Data for: Efficacy and safety of Cinnamon in Type II Diabetes Mellitus and Pre-diabetes patients: A Meta-analysis and Meta-regression

description: This is Stata data set for the manuscript titled Efficacy and safety of Cinnamon in Type II Diabetes Mellitus and Pre-diabetes patients: A Meta-analysis and Meta-regression
DOI: 10.17632/y8mj4zjz8f
title: Structural elucidation of a capsular polysaccharide from Bacteroides uniformis and its ameliorative impact on DSS-induced colitis in mice

description: This dataset contains 6 main figures-related original data files, and 1 supplementary figures-related orginal data files. All data are graphpad derived raw data or statistical test data. Bioinformatic analysis was performed using OmicStudio tools at https://www.omicstudio.cn/tool.
DOI: 10.6084/m9.figshare.13537319.v1
title: USTRANSCOM 767 Inflight Master Spreadsheet with raw data

description: USTRANSCOM Aug 2020 - Commercial Aircraft Cabin Aerosol Dispersion Test - 767 Inflight Master Spreadsheet with raw data
DOI: 10.6084/m9.figshare.14225735.v1
title: Figure 1-2, V1 neuron calcium data

description: This data is from the paper "Cortical ensembles selective for context", published in PNAS 2021.
DOI: 10.6084/m9.figshare.16783087.v1
title: counties.json

description: map.
DOI: 10.6084/m9.figshare.19609548.v1
title: CCI-in-ESCC

description: The cell identity of malignant cells and how they acquire it are fundamental for our understanding of cancer. Here, we report that esophageal squamous cell carcinoma (ESCC) cells display molecular features equally similar but distinct to all three types of normal esophageal epithelial cells, which we term as confused cell identity (CCI). CCI is an independent prognostic marker associated with poor prognosis in ESCC. Further, we identify tropomyosin 4 (TPM4) as a critical CCI gene that promotes the aggressiveness of ESCC in vitro and in vivo. And TPM4 creates CCI through activating the Jak/STAT-SOX2 pathway. Thus, our study suggests an unrecognized feature of ESCC cells, which might be of value for clinic prognosis and potential interference.
DOI: 10.6084/m9.figshare.22086977.v1
title: RPE DATA..xlsx

description: This study examined whether differentiated ratings of perceived exertion (RPE) (local; RPEL and central; RPEC) and overall RPE (RPEO) were different between exercise modes (upper- versus lower body) and/or changed after upper body training, providing relevant input for upper body exercise prescription/regulation. Eight rowers completed an incremental cycling test (CY), and incremental handcycle (HC) tests before (HCpre) and after three weeks of handcycle training (HCpost).
DOI: 10.6084/m9.figshare.29126879.v3
title: Y-Chromosomal STR Raw Data from Spanish Roma Population

description: A total of 64 Spanish Roma male samples were typed for 27 Y-STR loci using the <b>Yfiler® Plus PCR Amplification Kit</b> (Applied Biosystems/Thermo Fisher Scientific). Four loci were omitted from the final dataset as they are not recognized or supported by the haplogroup predictor software employed in our analysis. An additional 69 Spanish Roma male samples were typed for 17 Y-STR loci using the <b>AmpFlSTR® Yfiler® PCR Amplification Kit</b> (Applied Biosystems, Inc.).This dataset includes the raw allele data from both kits and supports population genetic analyses. The IDs are artificial and non-identifying for privacy purposes.All participants self-identified as Spanish Roma, and appropriate informed written consent was obtained from all donors.
DOI: 10.6084/m9.figshare.29139464.v1
title: Performance and Generalizability Impacts of Incorporating Geolocation into Deep Learning for Dynamic PM2.5 Estimation

description: Deep learning models have demonstrated success in geospatial applications, yet quantifying the role of geolocation information in enhancing model performance and geographic generalizability remains underexplored. A new generation of location encoders have emerged with the goal of capturing attributes present at any given location for downstream use in predictive modeling. Being a nascent area of research, their evaluation has remained largely limited to static tasks such as species distributions or average temperature mapping. In this paper, we discuss and quantify the impact of incorporating geolocation into deep learning for a real-world application domain that is characteristically dynamic (with fast temporal change) and spatially heterogeneous at high resolutions: estimating surface-level daily PM<sub>2.5</sub> levels using remotely sensed and ground-level data. We build on a recently published deep learning-based PM<sub>2.5</sub> estimation model that achieves state-of-the-art performance on data observed in the contiguous United States. We examine three approaches for incorporating geolocation: excluding geolocation as a baseline, using raw geographic coordinates, and leveraging pretrained location encoders. We evaluate each approach under within-region (WR) and out-of-region (OoR) evaluation scenarios. Aggregate performance metrics indicate that while naïve incorporation of raw geographic coordinates improves within-region performance by retaining the interpolative value of geographic location, it can hinder generalizability across regions. In contrast, pretrained location encoders like GeoCLIP enhance predictive performance and geographic generalizability for both WR and OoR scenarios. However, our qualitative analysis reveals artifact patterns caused by high-degree basis functions and sparse upstream samples in certain areas, and our ablation results indicate varying performance among location encoders such as SatCLIP vs. GeoCLIP. To the best of our knowledge, this is a first integration and systematic evaluation of location encoders in a complex, temporally dynamic estimation scenario. In addition to guiding better model development for air pollution estimation and location encoders, this study provides insights for effective incorporation of location into deep learning for geospatial predictive tasks.
DOI: 10.6084/m9.figshare.25139891.v5
title: <b>Chromosome-level genome assembly and gene annotation of the short-finned eel (</b><b><i>Anguilla bicolor pacifica</i></b><b>)</b>

description: In East Asia, anguillid eels are commercially important. However, unlike other species, they have not been successfully cultivated throughout their lifecycle. Facing population decline due to overharvesting and environmental pressures, the industry is turning to alternatives, such as <i>Anguilla bicolor pacifica</i> (short-finned eel). However, genomic data for short-finned eels are unavailable. Here, we present in-depth whole-genome sequencing results for short-finned eel obtained using two sequencing platforms (PacBio Revio, and Illumina). In this study, we achieved a chromosome-level genome assembly of the short-finned eel, comprising 19 chromosomes encompassing 99.76% of the 1.087 Gb genome sequence with an N50 of 16.88 and 61.07 Mb from contig and scaffold, respectively. Transcripts from four different tissues led to the annotation of 23,095 protein-coding genes in the eel genome, 98.66% of which were functionally annotated. This high-quality genome assembly, along with the annotation data, provides a foundation for future functional genomic studies of short-finned eels.
DOI: 10.6084/m9.figshare.26520433.v2
title: Perovskite_Supporting Information_data

description: In this work, we demonstrated the role of shallow energy level defect states on the emission of CH<sub>3</sub>NH<sub>3</sub>PbBr<sub>3</sub> perovskite polycrystals under laser excitation. The perovskite polycrystals were synthesized by a simple, one-step, low-cost solution self-assembled method. By adjusting the sample preparation temperature, we could manipulate the shallow energy level defect states that can be recognized through low-temperature photoluminescence measurement. Depending on the shallow energy level defect states, the sample’s emission experienced an evolution from amplified spontaneous emission to random lasing emission. Notably, the most efficient lasing threshold of 4 μJ/mm<sup>2</sup> was achieved when the sample was prepared at 333 K. The surface morphologies and other optical properties of the perovskite polycrystals were also investigated by optical microscopy, X-ray diffractometer.<br>
DOI: 10.6084/m9.figshare.26941057.v2
title: Genome assembly and annotation of the longhorn beetle Arhopalus rusticus

description: Arhopalus_rusticus_genome_assembly.fa: genome assembly file of Arhopalus rusticusArhopalus_rusticus_gene_structure_annotation.gff: genome structure annotation file of Arhopalus rusticusArhopalus_rusticus_protein_coding_gene.fa: protein file of Arhopalus rusticus
DOI: 10.6084/m9.figshare.27105400.v2
title: ams excel.xlsx

description: A health-facility-based, age-sex matched 1:1 case-control study was conducted in Mustang district, from 01/09/2023 to 30/11/2023. Measurements included Acute Mountain Sickness/High Altitude Cerebral Edema/High Altitude Pulmonary Edema assessment via LLS questionnaire, demographics, medical history, ascent rate, and prophylactic medicine intake. Data was collected via predesigned structured questionnaire by trained medical officers in, and analyzed using SPSS version 25. Using logistic regression, the study tested potential risk factors associated with altitude sickness
DOI: 10.17632/ckhpky6dk8
title: Cutaneous malignancy after biologic therapy for inflammatory disease: an active comparator, retrospective cohort study supplementary material

description: Supplementary material for "Cutaneous malignancy after biologic therapy for inflammatory disease: an active comparator, retrospective cohort study."
Legend:
Mendeley supplemental figure 1. “Flow diagram of population inclusion criteria for active comparator analysis”
Mendeley supplemental table I. “Index of biologic agents included in analysis”
DOI: 10.17632/mvb4bbxrjb
title: The metadata of articles discussing about public participation in waste management studies

description: This dataset contains metadata of articles being selected for the topic public participation in waste management
DOI: 10.6084/m9.figshare.14806176.v1
title: Leading Causes of Death Kisumu Kenya

description: The Excel Workbook contains raw minimal deidentified dataset that were used for the manuscript "Leading causes of death and high mortality rates in an HIV endemic setting (Kisumu county, Kenya, 2019)"
DOI: 10.6084/m9.figshare.24634062.v3
title: [CAD] Design of the Novel Dual-sided Synchronous Reluctance Motor

description: These files support the publication of a journal article in the Canadian Journal of Applied Physics Research, see link below:Article link: https://figshare.com/articles/journal_contribution/_ARTICLE_Dual-Sided_Rotor_Design_for_Performance_Boost_of_Synchronous_Reluctance_Motors_in_Electric_Vehicles_Canadian_Journal_of_Applied_Physics_Research_2024_/24634074-------------------------------------------------------------------------For more public data, please visit my Figshare profile: https://figshare.com/authors/Luis_Teia/10811244
DOI: 10.6084/m9.figshare.24846558.v2
title: An oomycete effector co-opts a host RabGAP protein to subvert defense-related secretion and immunity - AlphaFold2-Multimer Data

description: This data set was used in the publication "An oomycete effector co-opts a host RabGAP protein to subvert defense-related secretion and immunity". These are AF2-multimer prediction folders that were generated by AF2.
DOI: 10.17632/t3cymhc926
title: The impact of ChatGPT Integrated Instruction on Students' Research Skills: The mediating effects of autonomous motivation, engagement, and self-directed learning

description: This is the data that contains the post experiment results of the study. It contains data from control as well experiment groups.
DOI: 10.6084/m9.figshare.12199688.v3
title: Figure 5_6_DengueCaseData

description: Data underlying Figure 5 (Dengue incidence in intervention and control areas, before and after the <i>Wolbachia </i>intervention) and Figure 6 (Laboratory-confirmed dengue cases in intervention and control areas, before and after the <i>Wolbachia </i>intervention), in Indriani et al (2020) <i>Gates Open Research (submitted)</i>. Hospitalised dengue haemorrhagic fever (DHF; since 2006) and dengue fever (DF; since 2017) cases are notified to the Yogyakarta District Health Office. Standard Diagnostics Dengue Duo rapid diagnostic kits for the detection of dengue virus NS1 antigen and IgM/IgG antibody have been used at the discretion of clinic staff as part of routine clinical care in primary care clinics throughout Yogyakarta city since March 2016.
DOI: 10.6084/m9.figshare.15420807.v1
title: Data from Steger et al. (2021): Non-indigenous molluscs in the Eastern Mediterranean have distinct traits and cannot replace historic ecosystem functioning

description: Data from: Steger et al. (2021): Non-indigenous molluscs in the Eastern Mediterranean have distinct traits and cannot replace historic ecosystem functioning. Global Ecology and Biogeography: https://doi.org/10.1111/geb.13415<br><b><br></b><b>Contains:</b><br><b>Abundance data</b><br><b>- </b>four .csv-files with abundances of molluscan species at various shallow subtidal soft and hard substrate stations on the Israeli Mediterranean shelf. See Supporting Information Appendix S1 for details on stations and their locations, station names, and a key to sample codes. <br><br>Rows in the files represent samples, columns species. <br><br>Assemblage component types:<br>Living and death assemblage samples are marked by a capital 'L' and 'D' in their sample name, respectively (e.g.: Ash25<b>L</b>na, Ash25<b>D</b>na). Native assemblage components contain 'na' in their sample name (e.g. Ash25L<b>na, </b>Ash25D<b>na</b>), non-indigenous ones 'al' (e.g. Ash25L<b>al</b>). See Appendix S2, sheet 'Metadata', for a detailed explanation of assemblage component identifiers. <br>Species are listed by alpha-numeric species codes. A key matching these codes to taxonomic entities is provided in Appendices S2 and S4, second sheet.<br><br>Data resolution:<br>The files 'abundance data_hard substrates.csv' and 'abundance data_soft substrates' contain data at replicate-level resolution. Sample names consist of a sample code (see Table S1.1, Supplement S1; e.g. <b>S16</b>_1Lna), followed by a suffix representing a combination of a sequential replicate number (e.g. S16_<b>1</b>Lna, S16_<b>2</b>Lna, etc.) and the assemblage component identifier (see above; e.g. S16_1<b>Lna</b>).The files 'abundance data_hard substrates_station aggreg.csv' and 'abundance data_soft substrates_station aggreg.csv' provide the same abundance data aggregated at station-level (i.e., data pooled across replicates). Sample names here represent a combination of station name and assemblage component identifier (see Table S1.1 in Appendix S1, and the key in Appendix S2).<br><br><b>Fuzzy coded trait matrix</b><br>- The file 'traits_all spp_raw scores .csv' contains fuzzy trait scores for each molluscan species present in our samples. For a key to traits and trait modality codes, see Appendix S1, Table S1.3. For an explanation of the trait scoring system used, see Methods (main article).<br>
DOI: 10.6084/m9.figshare.20791240.v3
title: An Empirical Study of Deep Learning Models for Vulnerability Detection

description: Deep learning (DL) models of code have recently reported great progress for vulnerability detection. In some cases, DL-based models have outperformed static analysis tools. Although many great models have been proposed, we do not yet have a good understanding of these models. This limits the further advancement of model robustness, debugging, and deployment for the vulnerability detection. In this paper, we surveyed and reproduced 9 state-of-the-art (SOTA) deep learning models on 2 widely used vulnerability detection datasets: Devign and MSR. We investigated 6 research questions in three areas, namely model capabilities, training data, and model interpretation. We experimentally demonstrated the variability between different runs of a model and the low agreement among different models’ outputs. We investigated models trained for specific types of vulnerabilities compared to a model that is trained on all the vulnerabilities at once. We explored the types of programs DL may consider ”hard” to handle. We investigated the relations of training data sizes and training data composition with model performance. Finally, we studied model interpretations and analyzed important features that the models used to make predictions. We believe that our findings can help better understand model results, provide guidance on preparing training data, and improve the robustness of the models.
DOI: 10.6084/m9.figshare.21294888.v1
title: Table S1, ECC445 - Antibiotic resistance profile

description: Antimicrobial susceptibility was analyzed as recommended in the 2018 CA-SFM/EUCAST guideline by the disc diffusion method on Mueller-Hinton
DOI: 10.6084/m9.figshare.23908695.v1
title: Stemflow NO3- Dynamics dataset

description: We investigated the concentrations and fluxes of NO3− and the δ15N, δ18O, and Δ17O values of SF and bulk precipitation (BP) in a temperate Chinese pine plantation.
DOI: 10.6084/m9.figshare.25921297.v3
title: Predictive musculoskeletal simulations reveal the mechanistic link between speed, posture and energetics among extant mammals

description: We challenged predictive human musculoskeletal simulations, scaled in mass from the size of a mouse (0.1 kg) to the size of an elephant (2000 kg), to move as fast as possible. Our models replicated patterns observed across extant animals including: (i) an intermediate optimal body mass for speed; (ii) a reduction in the cost of transport with increasing size; and (iii) crouched postures at smaller body masses and upright postures at larger body masses. Finally, we used our models to determine the mechanical limitations of speed with size.<br>Data and code is provided to reproduce figures 1-4Supplementary videos are available in two different formats, AVI and MP4
DOI: 10.17632/phst94tbrh
title: Data for: Geomorphic Response of Inlet Barrier Islands to Storms

description: Bird Shoal 06/02/2016 "Baseline"
DOI: 10.6084/m9.figshare.1237102.v3
title: Data_Study1

description: Dataset Buechner et al.