cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25417/uic.11923386.v1
title: Human-Computer Interaction Logs

description: This dataset comprises ten human-computer interaction logs of real participants who solved a given task in a Windows environment. The participants were allowed to use the standard notepad, calculator, and file explorer. All recordings are anonymized and do not contain any private information.<br><b>Simple</b>:Each of the five log files in the folder <i>simple </i>contains Human-Computer Interaction recordings of a participant solving a simple task. Participants were provided 30 raw text files where each one contained data about the revenue and expenses of a single product for a given time period. In total 15 summaries were asked to be created by summarizing the data of two files and calculating the combined revenue, expenses, and profit. <br><b>Complex</b>:Each of the five log files in the folder <i>complex </i>contains Human-Computer Interaction recordings of a participant solving a more advanced task. In particular, participants were given a folder of text documents and were asked to create summary documents that contain the total revenue and expenses of the quarter, profit, and, where applicable, profit improvement compared to the previous quarter and the same quarter of the previous year. Each quarter’s data comprised multiple text files.<br>The logging application that has been used is the one described in<i>Julian Theis and Houshang Darabi. 2019. Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environments. Proc. ACM Hum.-Comput. Interact. 3, EICS, Article 13 (June 2019), 16 pages. DOI: https://doi.org/10.1145/3331155</i><br>Please refer to Table 1 and Table 2 of this publication regarding the structure of the log files. The first column corresponds to the timestamp in milliseconds, the second column represents the event key, and the third column contains additional event-specific information.
DOI: 10.6084/m9.figshare.12609923.v1
title: Gene database of Bacillus thuringiensis ATCC 10792

description: <i>Bacillus thuringiensis</i> is a Gram-positive, soil dwelling bacterium that can serve as a biopesticide due to the action of endotoxins that it secretes. Capable of sporulation, spores of <i>B. thuringiensis</i> could come together with protein crystals of endotoxins to form bipyramidal crystals. Though the annotated genome sequence of <i>B. thuringiensis</i> is available, much remains to be known about this bacterium, particularly the pathogenesis mechanism when it becomes a parasite inside caterpillar, moths, or mosquitoes. This work reports the gene database of <i>B. thuringiensis</i> ATCC 10792 obtained by parsing the annotated genome sequence obtained from Genbank. Comprising gene name, gene function and gene sequence of all genes in the genome of <i>B. thuringiensis</i>, the resource should find use in locating putative targets for molecular cloning or loss of function analysis in efforts to identify the molecular effectors that partake in pathogenesis of the bacterium.
DOI: 10.6084/m9.figshare.22766705.v1
title: Data for Figure 4

description: Raw data for Figure 4. https://www.researchsquare.com/article/rs-2305070/v2
DOI: 10.6084/m9.figshare.22826402.v1
title: Data for biomass.

description: data for biomass in northern China.
DOI: 10.6084/m9.figshare.28794788.v3
title: <b>The Interaction Between Tongue-Rolling Behavior and Stress Levels in Cows: Differences in Plasma Metabolism</b>

description: None
DOI: 10.17632/7rn3pknf5s
title: Deep Learning Models

description: The code and instructions for its execution can be found in Supplementary Material file Code.zip in the file “segmentation.ipynb”. “.ipynb” is an extension of jupyter notebook. Jupyter – is a python package, which is installed by default in Anaconda distribution https://www.anaconda.com/distribution/ . After installation it can be accessed from command line by typing: “jupyter notebook”.
DOI: 10.17632/8kmtjnr47n
title: Dataset for Indoor Air Temperature Monitoring using Ultrasonic Travel-Time Tomography

description: This dataset presents the indoor air temperature measurements using the novel technique of Acoustic travel time TOMography (ATOM) in the ultrasonic frequency range. The data was collected across decreasing and increasing indoor air temperature scenarios within the climate chamber laboratory of the Building Physics department at Bauhaus-University Weimar. The temperatures derived from the ATOM system were compared against those recorded by highly accurate NTC thermistors as a benchmark. The measurements encompassed both steady-state and transient conditions. Moreover, the developed ultrasonic setup contains a preamplifier to enhance the power of the recorded signal. This preamplifier introduces a phase shift which should be measured and compensated. Accordingly, the process of the phase shift measurements for the utilized preamplifier is provided. It covers two approaches of performing the measurements in a numeric computing platform i.e. MATLAB and validating measurements by conducting phase shift measurements using an oscilloscope. 
Furthermore, the data contains MATLAB codes for measuring the impulse response of the room and correspondingly detecting the travel times of the direct paths and early reflections.
DOI: 10.17632/k7c5482fsm
title: Simulated Suspended Sediment Discharge for South America Rivers (MGB-SED AS) - V1.0

description: We provide a dataset of simulated suspended sediment discharge for South America rivers using daily hydrologic-hydrodynamic modeling. We simulate the potential natural situation, where rivers is no damming, and therefore, sediment are not trapped. The model MGB-SED AS was calibrated and validated against 595in-situ sediment stations from three national datasets: Brazilian, Agentinean and Colombian. We also compared our results against regional studies and a global model. The data provided for us are: - NetCDF file named 'QSS.nc' with daily suspended sediment discharge (t/day) for all (33749) simulated river reaches from 1992-2009. - shapefile named "QSS_MGB-SED_AS_annual.shp" with annual suspended sediment discharge (t/year) for all (33749) simulated river reaches from 1992-2009 and their respective drainage areas. - shapefile named "stations.shp" with the lat lon for each in-situ sediment station, domain, drainage area, and simulated river reaches ID (UnitCat).
DOI: 10.6084/m9.figshare.24541854.v2
title: Psychedelics for treatment resistant depression: are they game changers?

description: A new era of treatment for adults with treatment-resistant depression (TRD), which involves psychedelic substances, is dawning. Emerging evidence indicates that psychedelics can exert antidepressant effects through multiple neurobiological and psychological mechanisms. However, it remains to be seen if these new treatments will revolutionize the treatment of TRD. The present review focuses on the efficacy of serotoninergic psychedelics psilocybin, lysergic acid diethylamide (LSD), N,N-dimethyltryptamine (DMT), ayahuasca, 5‐methoxy‐N,N‐dimethyltryptamine (5-MeO-DMT) and mescaline (3,4,5-trimethoxyphenethylamine), as well as 3,4-methylenedioxymethamphetamine (MDMA), for TRD. A systematic search was conducted for psilocybin in TRD as emerging trials had not yet been subject to review. A narrative review summarized findings on other psychedelics. Psychedelic therapy has created a paradigm shift in the treatment of TRD, as it can maximize therapeutic benefits and minimize potential risks. Psilocybin holds promise as a potential game-changer in the treatment of TRD, with initial evidence suggesting a rapid antidepressant effect sustained for some responders for at least 3 months. Nevertheless, further adequately powered, double-blind, comparator-controlled trials are required to explore and clarify the mechanisms of action and long-term effects of psychedelics in TRD. Psychedelics also hold promise for other psychiatric conditions, such as bipolar depression and post-traumatic stress disorder.
DOI: 10.6084/m9.figshare.27301371.v1
title: ICRA 数据集

description: 该数据集来源于中国大学 MOOC 平台，包括用户信息、课程详情和评论内容。数据是使用自定义 Python 脚本和 Scrapy 框架收集的，涵盖用户 ID、评论内容、评分和课程名称等字段。为确保隐私保护，所有数据均已匿名化，不会泄露任何个人信息。该数据集包括原始数据和预处理版本，该版本已经过无效数据清理、文本规范化和情绪标记，并已准备好用于训练课程推荐模型。
DOI: 10.17632/cm4xdz9b8r
title: Fatigue and energy in health sciences students

description: Graduate health sciences predictors of energy and fatigue
DOI: 10.17632/jxj6dt54w6
title: Dry bulk terminal data set

description: The data was collected from around Malaysian Ports of Dry Bulk Terminal using an online questionnaire distributed to 18 Ports through email. The spatial dispersion of respondents corresponds approximately to the structure of Malaysian Maritime Dry bulk terminal on Demographic. The data provides full responses from the head of the port management. Each respond assessed the level of efficiency toward competitiveness factors by percentage rate of 100%.
DOI: 10.17632/zs269d9fvb
title: Dietary methionine links nutrition and metabolism to the efficacy of cancer therapies

description: Nutrition exerts profound effects on health and dietary interventions are commonly used to treat diseases of metabolic etiology. Although cancer has a substantial metabolic component1, the principles that define whether nutrition may be used to influence tumour outcome are unclear2. Nevertheless, it is established that targeting metabolic pathways with pharmacological agents or radiation can sometimes lead to controlled therapeutic outcomes. In contrast, whether specific dietary interventions could influence the metabolic pathways that are targeted in standard cancer therapies is not known. We now show that dietary restriction of methionine (MR), an essential amino acid, and the reduction of which has anti-aging and anti-obesogenic properties, influences cancer outcome through controlled and reproducible changes to one-carbon metabolism. This pathway metabolizes methionine and further is the target of a host of cancer interventions involving chemotherapy and radiation. MR produced therapeutic responses in chemoresistant RAS-driven colorectal cancer patient derived xenografts (PDXs) and autochthonous KRASG12D+/-;TP53-/- -driven soft tissue sarcomas resistant to radiation. Metabolomics revealed the therapeutic mechanisms to occur through tumour cell autonomous effects on the flux through one-carbon metabolism that impacted redox and nucleotide metabolism, thus interacting with the antimetabolite or radiation intervention. Finally, in a controlled and tolerated feeding study in humans, MR resulted in similar effects on systemic metabolism as obtained in responsive mice. These findings provide evidence that a targeted dietary manipulation can affect specific tumour cell metabolism to mediate broad aspects of cancer outcome.
DOI: 10.6084/m9.figshare.29085290.v2
title: Dataset - Numerical results.xlsx

description: Numerical results supporting the work on the minimization of peak age of information for timely status updates in two-hop IoT networks
DOI: 10.17632/z4g7xj4r3h
title: ACE and IPV among Bangladeshi adults_final data 2024

description: This study investigates the association between adverse childhood experiences (ACEs) and intimate partner violence (IPV) perpetration in a nationally representative sample of 2,016 young adults (Mean age 28.27, SD 5.11) in Bangladesh, with a focus on gender differences. ACEs were categorised into two dimensions: threat (e.g., exposure to violence) and deprivation (e.g., lack of emotional or cognitive support). IPV perpetration was measured using the Hurt, Insult, Threaten, Screamed (HITS) scale.
DOI: 10.6084/m9.figshare.12789113.v1
title: Supplementary Material for: Comparison of the Safety Profiles of 3 Different Hymenoptera Venom Immunotherapy Protocols: A Retrospective 2-Center Study of 143 Patients

description: <b><i>Introduction:</i></b> Venom immunotherapy (VIT) is highly effective and the treatment of choice for patients with a history of systemic anaphylactic reactions to a Hymenoptera sting. It has been assumed that VIT protocols with a rapid dose increase during the induction phase are associated with a higher frequency of systemic reactions (SR); however, study data addressing this issue are conflicting. <b><i>Objective:</i></b> The aim of this study was to compare the safety of 3 different Hymenoptera VIT protocols (half-day ultra-rush, 3-day rush, 3-week cluster). <b><i>Methods:</i></b> This retrospective 2-center study included 143 Hymenoptera venom-allergic patients, who underwent 147 VIT procedures during the years 2015–2018. Twenty cluster, 75 rush, and 52 ultra-rush VIT protocols were performed with honeybee (54 protocols) and wasp (93 protocols) venom. All documented side effects were classified into large local and SR (Ring and Messmer classification). <b><i>Results:</i></b> SR were observed during 11 (7.5%) VIT procedures and did not exceed severity grade II. SR occurred more frequently in cluster compared to accelerated protocols. This result was observed for both honeybee (cluster: 25%, rush: 8.7%, and ultra-rush: 15.8%) and wasp VIT (cluster: 12.5%, rush: 0%, and ultra-rush: 6.1%), though the differences were statistically significant only in the wasp VIT subgroup. Honeybee venom elicited more SR than wasp venom (14.8 and 3.2%, respectively, <i>p</i> = 0.01). The risk for SR did not depend on age, sex, concomitant antihypertensive medication, hypertryptasemia, or severity of the index sting reaction. <b><i>Conclusion:</i></b> Accelerated VIT protocols, namely, rush and ultra-rush protocols are safe therapeutic options for Hymenoptera venom-allergic patients and displayed fewer SR than cluster VIT protocols in our study.
DOI: 10.6084/m9.figshare.24762996.v1
title: code/data for https://www.biorxiv.org/content/10.1101/811992v3

description: <b>Abstract of the study, from our pre-print:</b> Until now it has been difficult to examine the neural bases of foraging in naturalistic environments because previous approaches have relied on restrained animals performing trial-based foraging tasks. Here, we allowed unrestrained monkeys to freely interact with concurrent reward options while we wirelessly recorded population activity in the dorsolateral prefrontal cortex (dlPFC). The animals decided when and where to forage based on whether their reward prediction was fulfilled or violated. This prediction was not solely based on a history of reward delivery but also on the understanding that waiting longer improves the chance of reward. The decoded reward dynamics were continuously represented in a subspace of the high-dimensional population activity and predicted the animal’s subsequent choice better than the true experimental variables and as well as the raw neural activity. Our results indicate that monkeys’ foraging strategy is based on a cortical model of reward dynamics as animals freely explore their environment.
DOI: 10.6084/m9.figshare.25999003.v1
title: Airplane_crash_fatalities.csv

description: Data on Airplane crash deaths vs airplane crashes 1970 - 2022 provided by the Bureau of Aviation Accidents Archive. Data Primary Source: [Bureau of Aviation Accidents Archive. 2022. Data Archive. https://web.archive.org/web/20170712212958/http://www.baaa-acro.com]Data Secondary Source: https://en.wikipedia.org/wiki/Aviation_accidents_and_incidents#StatisticsInformation about the variables:<br>The causal variable of interest for this example is aircraft accidents.The response of interest is passenger deaths (including crew)Accidents are defined by the Bureau of Aviation Accidents Archive (baaa.com) as, “Any event where an aircraft suffered such damage from a crash or hard landing that it is not in a position to be used anymore and that it is removed from service”. [The above description is contained in the associated metadata file]
DOI: 10.6084/m9.figshare.28057997.v6
title: Observed GEM and DGM data in the Arctic Ocean

description: This dataset includes the observed concentrations of both atmospheric gaseous elemental mercury and marine dissolved gaseous mercury, and the corresponding auxiliary data. This dataset was acquired in the Arctic Ocean in summertime, 2023. This dataset also includes Generalized Additive Model (GAM) code implemented in R to simulate the GEM concentration in the Arctic Ocean during the corresponding cruise and assess the relative contributions of individual variables.
DOI: 10.15131/shef.data.4797829.v1
title: London Lives XML Data

description: XML data (1624 files) created by the London Lives 1690-1800 Project (Sheffield, Hertfordshire)
DOI: 10.17632/9m47m5f8ps
title: drunk driving law and traffic crime rates

description: drunk driving and severe traffic crime rates
DOI: 10.17632/b3pn4kwpmn
title: Database for Emotion Recognition System Based on EEG Signals and Various Computer Games - GAMEEMO

description: This dataset includes computer games-based EEG signals. They are collected from 28 different subjects with wearable and portable EEG device called 14 channel Emotiv Epoc+. Subjects played emotionally 4 different computer games (boring, calm, horror and funny) for 5 minutes and totally 20 minutes long EEG data available for each subject. Subjects rated each computer game based on the scale of arousal and valence by applying SAM form. We provided both raw and preprocessed EEG data with .csv and. mat format in our data repository. Each subject's rating score and SAM form are also available. The aim of this dataset is to provide an alternative data for emotion recognition process and show the performance of wearable EEG devices against traditional ones. In the main folder (GAMEEMO) researches will find 29 different folders (28 for subjects and 1 for gameplay). S01, S02, ... represents the subjects who participated in the experiment. Gameplay folder shows the gameplay of each game. In each subjects folder, researchers will find preprocessed EEG data, raw EEG data csv and .mat format. Also SAM ratings are available with .pdf format. Games are represented as G1, G2, G3, and G4. G1 refers Game 1, G2 refers G2, and so on.
DOI: 10.17632/x22y4s9fks
title: DGA results for 25 transformers

description: Table shows the results of dissolved gas analyses (DGA) for 25 transformers. These results were obtained by the authors in co-operation with electrical laboratories and energy companies in Ukraine. The table shows values for five gases (H2, CH4, C2H6, C2H4, C2H2; in ppm), as well as the identified fault type.
DOI: 10.6084/m9.figshare.14724117.v1
title: Appendix 1. Socio-demographic profile of study participants

description: The current appendix supports a manuscript entitled: "<b>Student Learning Ecologies in Online Higher Education: A Model to Support Connected Learning Across Contexts"</b><b></b>
DOI: 10.6084/m9.figshare.19608555.v1
title: DP-CSH

description: The compressed DP of C-S-H
DOI: 10.6084/m9.figshare.27165630.v1
title: Data of "<b>Concurrent slow and fast frictional ruptures in laboratory earthquakes</b>"

description: This is a dataset for our paper: <b>Concurrent slow and fast frictional ruptures in laboratory earthquakes</b>.
DOI: 10.6084/m9.figshare.3249256.v1
title: images.jpg

description: images.jpg
DOI: 10.17632/chx2htd5sy
title: Data for: Time to modification of antidiabetic therapy in patients with de novo diabetes mellitus over 65 years old

description: Data base
DOI: 10.17632/gzp97wdddc
title: Impact of Impact Investing Code

description: This code will reproduce all figures and tables in the paper. The package does NOT contain the underlying data because we do not have rights to distribute the data.
DOI: 10.6084/m9.figshare.14402486.v1
title: Supplemental Tables

description: Supplemental Tables
DOI: 10.6084/m9.figshare.10184192.v1
title: HepZeddataset_for public.csv

description: A population-based survey was conducted in Lusaka Province, Zambia, to generate estimates on the proportion of persons living with chronic hepatitis B infection who may need antiviral therapy and to identify sociodemographic correlates of hepatitis B. The overall data set contains close to 5000 individuals who were tested in the population and 148 who were HBsAg positive and came to a central hospital for in-depth evaluation of their liver and indications for antiviral therapy.<br>
DOI: 10.6084/m9.figshare.10257068.v1
title: final_bins_nucl.tar.gz

description: Assembled NCLDV genomic nucleic acid sequences for Moniruzzaman et al., 2019. <br>
DOI: 10.6084/m9.figshare.19326314.v1
title: TCGA_CIBERSORT_BPmetCan_MethylCBS.csv

description: Dataset related to the following pubblication:GEM-DeCan: Improved tumor immune microenvironment profiling through novel gene expression and DNA methylation signatures predicts immunotherapy response<br>Ting Xie, Julien Pernet, Nina Verstraete, Miguel Madrid-Mencía, Mei-Shiue Kuo, Alexis Hucteau, Alexis Coullomb, Jacobo Solórzano, Olivier Delfour, Francisco Cruzalegui, Vera Pancaldi<br>bioRxiv 2021.04.09.439207; doi: https://doi.org/10.1101/2021.04.09.439207
DOI: 10.6084/m9.figshare.28091300.v1
title: Dataset for "Fabrication of Spin-1/2 Heisenberg Antiferromagnetic Chains via Combined On-surface Synthesis and Reduction for Spinon Detection"

description: Dataset for "Fabrication of Spin-1/2 Heisenberg Antiferromagnetic Chains via Combined On-surface Synthesis and Reduction for Spinon Detection"Preprint available: https://doi.org/10.48550/arXiv.2408.08801
DOI: 10.6084/m9.figshare.25625352.v1
title: NEONForestAGBv2

description: Aboveground biomass (AGB) estimates from individual tree diameters scaled to whole tree biomass using generalized allometric equations for 35 National Ecological Observatory Network (NEON) sites within the United States and Puerto Rico. The data set includes 93,971 unique individuals of 478 different species in 1,216 terrestrial observation plots for 245,245 biomass estimates between the years 2014 to 2023.
DOI: 10.6084/m9.figshare.27233724.v1
title: Zweifel Olefination for C-Glycosylation

description: Starting from glycal derivatives, the Zweifel olefination presents an elegant opportunity to access <i>C</i>-glycosides in a selective manner. a-Lithiation of D-glucal, L-rhamnal, D-xylal and L-arabinal scaffolds was employed as a starting point in the synthesis of corresponding unsaturated aryl-, heteroaryl- and alkenyl-<i>C</i>-glycosides. This provides a straightforward strategy towards pharmacorelevant gliflozins and other unreported rhamnal- and xylal-analogs.
DOI: 10.6084/m9.figshare.28467254.v1
title: A Novel Approach for Cluster Detection in Trajectory Data with Low Cluster-to-Noise Density Ratio

description: A spatial cluster of trajectories refers to objects that follow similar paths, revealing shared movement trends and aiding in anomaly detection. However, detecting clusters in trajectory data becomes challenging when the cluster-to-noise density ratio (CNDR) is low. For example, clusters in free-range sheep movements are easily seen due to their group behaviour, whereas the diversity of human movement introduces significant noise, making clustering difficult. The L-function, widely used for clustering detection in various data types (e.g., point or OD flow data), captures aggregation changes across scales without relying on predefined thresholds, offering potential for low CNDR trajectory data. Thus, we define a trajectory space to derive the Trajectory L (TL)-function for multipoint trajectories. Then we use the second derivative of the TL-function and the local TL-function to identify cluster sizes and extract clusters. Inflection points in the second derivatives enable the detection of subtle changes in aggregation, allowing for precise and sensitive cluster identification. Simulation experiments show that our method outperforms four state-of-the-art approaches in detecting clusters under low CNDR conditions while avoiding parameter dependency. We validated the generality and robustness of our method using both taxi GPS trajectories and mobile phone signalling trajectories.