cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3482282.v3
title: Sandy (Full)

description: Dataset of tweets about Hurricane Sandy which was the most destructive hurricane in United States history with more than 230 deaths and 75 billion of damages. This dataset were collected from 29th October 2012 to 31st October 2012 using the 3 keywords: “sandy”, “hurricane” and “storm”.<br>In accordance with Twitter's Terms of Service, this file only provides identifiers of tweets in the dataset. In order to "hydrate" those tweet identifiers, or in other words, to collect the actual tweets, you suggest to use our Tweeset tool https://bitbucket.org/amjedbj/tweeset.<br>
DOI: 10.6084/m9.figshare.4272752.v1
title: Supplementary Material for: The Impact of Health Care Appointment Non-Adherence on Graft Outcomes in Kidney Transplantation

description: <b><i>Background:</i></b> Non-adherence to medication is a well-studied and known cause of late allograft loss, but it is difficult to measure and prospectively monitor. The aim of this study was to assess if appointment non-adherence was correlated with medication non-adherence and a predictor of graft outcomes. <b><i>Methods:</i></b> This was a longitudinal cohort study that used the National United States Renal Data System and veterans affairs health records data with time-to-event analyses conducted to assess the impact on graft and patient survival. <b><i>Results:</i></b> The number of transplants that were included in the analysis was 4,646 (3,656 with complete records); 14.6% of patients had an appointment no show rate of ≥12% (non-adherence). Appointment and medication non-adherence were highly correlated and both were significant independent predictors of outcomes. Those with appointment non-adherence had 1.5 times the risk of acute rejection (22.0 vs. 14.7%, p &lt; 0.0001) and a 65% higher risk of graft loss (adjusted hazards ratio (aHR) 1.65, 95% CI 1.38-1.97, p &lt; 0.0001). There was a significant interaction between appointment and medication non-adherence; those with appointment and medication non-adherence were at very high risk of graft loss (aHR 4.18, 95% CI 3.39-5.15, p &lt; 0.0001), compared to those with only appointment non-adherence (aHR 1.39, 95% CI 0.97-2.01, p = 0.0766) or only medication non-adherence (aHR 2.44, 95% CI 2.11-2.81, p &lt; 0.0001). <b><i>Conclusion:</i></b> These results demonstrate that non-adherence to health care appointments is a significant and independent risk factor for graft loss.
DOI: 10.17632/rc47y6m9mp
title: scRNA-seq data in ovarian cancer

description: Ovarian cancer (OC) is an aggressive gynecological tumour usually diagnosed at a late stage with widespread metastases and ascites. We depicted a single-cell landscape of OC ecosystem with five tumour-relevant sites: peripheral blood (PB), pelvic lymph node (PLN), primary tumour (Pri.OT), omentum metastasis (Met.Ome), and malignant ascites. Intercellular tissue dynamics of certain T cells, like GZMK+ effector memory T cell (Tem) and exhausted T cell (Tex), revealed potential roles of ascites as a pool for tumour-infiltrating T cells. Of the macrophages in tumours and ascites that exhibited distinct functional states, ascites-enriched macrophages were more of embryonic origin. For stromal cells in ascites, DES+ mesothelial cells account for the majority and help remodel its immune microenvironment. Further, we identified two endothelial subsets in primary tumours and one MAIT cluster in ascites predicting the responses to platinum-based chemotherapy of OC patients. Our study provides additional insights for ascites ecosystem and its connection with other tumour-relevant tissues, as well as potential markers for efficacy evaluation and therapies overcoming resistance in OC.
DOI: 10.6084/m9.figshare.1286960.v5
title: UNH-RVAT Reynolds number dependence experiment: Reduced dataset and processing code

description: This repository contains the reduced dataset and processing code from the UNH-RVAT Reynolds number dependence tow tank experiment. For the most recent version, clone the Git repository linked below.
DOI: 10.6084/m9.figshare.25050032.v5
title: MMLU

description: Measuring Massive Multitask Language Understandinghttps://github.com/hendrycks/test
DOI: 10.6084/m9.figshare.7694354.v1
title: Conformational studies of bipyrimidine-based mesogens by combination of DFT calculations and temperature-dependent infrared studies

description: Combination of DFT calculations and solid-state temperature-dependent infrared spectroscopy has confirmed that the central core of recently developed bipyrimidine-based mesogens is not flat, i.e. do not adopt a disc shape, inside the columnar liquid-crystalline phase. For this purpose, the intensities and the frequency shifts of the most sensitive C–N and C–C bands of the central bipyrimidine core have been studied as a function of the temperature and of the dihedral angle. The results support the reported packing model in which the molecules are interdigitated alternatively along their long axis and their short axis to form columns inside the mesophase.
DOI: 10.6084/m9.figshare.8268989.v1
title: Data and R code for "False memory for pictorial scripted material: the role of distinctiveness and negative emotion"

description: Dataset and R code for the statistical analysis of the manuscript titled "False memory for pictorial scripted material: the role of distinctiveness and negative emotion"
DOI: 10.17632/pb3jd7vz9z
title: Experimental Dataset for Imbalanced Classification: Application of Relabeling & Ranking Algorithm

description: The datasets in the study "Relabeling & Raking Algorithm for Imbalanced Classification" were sourced from several public repositories, including 1) Knowledge Extraction based on Evolutionary Learning data repository (J. Alcal´a-Fdez and A. Fernandez and J. Luengo and J. Derrac and S. Garc´ıa and L. S´anchez and F. Herrera, 16 2011), 2) UCI machine learning repository (Dua and Graff, 2017), 3) HDDT collection (Cieslak et al., 2012) and 4) previous studies (Radivojac et al., 2004; Kubat et al., 1998; WOODS et al., 1993). These datasets are particularly notable for their imbalanced nature and are widely recognized in academic literature for this feature.

Two main criteria were used to select these datasets:

Large-Scale Focus: Preference was given to large-scale datasets, a category often overlooked in previous studies. This selection includes datasets with more than 1,000 instances, with 10 of the 16 real-world datasets exceeding this threshold and four having over 10,000 instances.

High Imbalance Ratio (IR): The primary focus was on highly imbalanced datasets, specifically those with an IR greater than 9. 

The datasets were categorized based on the types of feature variables they contain:
Continuous datasets: All feature variables are continuous.
Categorical datasets: All feature variables are categorical.
Mixed datasets: A combination of continuous and categorical feature variables.
DOI: 10.17632/s2gv9d6gpb
title: Video Dataset of Woman Basic Balinese Dance Movement for Action Recognition

description: This dataset contains videos of 13 basic female Balinese dance movements demonstrated by nine female dancers. These basic movements include Agem Kanan, Agem Kiri, Ulap-Ulap, Ngegol, Seledet, Nyalud, Nyeregseg, Ngelung, Ngeseh, Tapak Sirangpada, Ngeed, Ngelo, and Ngumbang. The total number of videos is 1,740. The data is divided into three directories, which are train, validation, and test.
DOI: 10.6084/m9.figshare.28925648.v1
title: School and students’ factors as predictors of senior secondary school students’ academic performance in physics in Ekiti State, Nigeria

description: It appears there is a decline in the performance of secondary school students in physics in the past years. The study investigated the influence of school and students’ factors as predictors of students’ performance in secondary school physics. The study employed an ex-post facto research design of survey research method. Simple random sampling was used to select four local government areas from the sixteen local government areas in Ekiti State. Simple random sampling was also used to select twelve (12) schools from the four local government areas. One physics teacher was randomly selected from each of the twelve schools used. The physics students were selected at random at the discretion of the physics teacher in each of the schools. A total of four hundred and fifty (450) students were used for this study, making it a total of four hundred and sixty-two (462) participants. Five instruments were used to gather information from the respondents which are; Students’ Parental Influence Questionnaire (SPIQ), School Environment Questionnaire (SEQ), Physics Instructional Materials Checklist (PIMC), Mathematics Achievement Test (MAT) and Physics Achievement Test (PAT) with reliability coefficients of 0.74, 0.68, 0.65, 0.82 and 0.94 respectively. Data collected were analyzed using Pearson Product Moment Correlation coefficient and multiple regression analysis. The result reveals that four of the school and students’ factors (availability of instructional materials, teachers’ qualification, background in mathematics and parental socioeconomic status) have a positive influence on students’ performance in physics while the remaining two factors (school environment and parental motivation) have negative correlation on students’ performance in physics. Also, the result revealed that students’ background in mathematics significantly predicts students’ academic performance in physics. The study concluded that physics teachers should endeavour to teach prerequisite mathematics concepts in physics before engaging them in real physics teaching as this will allow for meaningful understanding and integration of mathematics concepts embedded in physics contents.
DOI: 10.6084/m9.figshare.8479529.v1
title: Linkage statistics

description: Linkage statistics for each pair of SNPs for each population meadow-wide<br>
DOI: 10.17632/yv7ddpjw9y
title: Descriptive Dataset on Student’s Level of Satisfaction on Facilities Provided

description: The descriptive data presented in this article is used to measure the level of student’s satisfaction with university facilities which are provided by the university as well as the government. This study involved 280 respondents comprising diploma, bachelor degree and post graduate student at Malaysian Public University. An open-ended question with 10 Likert Scale was distributed to respondents to identify the level of student’s satisfaction with the facilities provided by the university. The one to 10 scale measurements starting with one is Strongly Dissatisfied to 10 is Strongly Satisfied has been used to measure the level of student’s satisfaction towards 14 facilities at the university.
DOI: 10.6084/m9.figshare.11845518.v2
title: Expected demographic and genetic declines not found in most zoo and aquarium populations: Supplement

description: 1) BTN_publish.R: R code for summarizing recent plan data, random forest analysis of trends by predictor variables, and creating figures for publication<br>2) BTN_Bayes_publish.R: R code for Bayesian modeling to estimate change in demographic and genetic metrics over time<br>3) recentprogramsdat_anon.csv: anonymized data from most recent breeding and transfer plans for each Program, used in (1)<br>4) BayesAnalysis_anon: anonymized trend results from Bayesian models and trait data, used in (1)<br>5) initNmat_anon.csv: anonymized Program-level data for modeling slopes, used in (2)<br>6) plotdat_anon.csv: anonymized plan-level data for modeling slopes, used in (2)<br><br>7) WebTable5_PMCTrack_slopes.html: table with the model estimated slopes for seven demographic and genetic metrics for all Programs, as described in WebPanel1
DOI: 10.6084/m9.figshare.12163806.v2
title: GTT-1-protein-305.dcdWW domain trajectories

description: Trajectories of ww domainTrajectories dataTrajectories of WW domain
DOI: 10.6084/m9.figshare.25374196.v4
title: <b>Raw data</b> and <b>code</b> of "Temperature sensitivity of bacterial species-level preferences of soil carbon pools"

description: <b>Raw data</b> and <b>code</b> of "Temperature sensitivity of bacterial species-level preferences of soil carbo pools"
DOI: 10.6084/m9.figshare.28016369.v1
title: Biocrust survey data and biocrust cover maps in the Qaidam Basin

description: Here, we surveyed 108 sites across the Qaidam Basin using a near-grid sampling approach over 275,000 km<sup>2</sup> to assess biocrust presence and cover. The results indicated that by combining survey data with a set of environmental factors, the Random Forest model can effectively estimate biocrust distribution in the basin, with a resolution of 90 m. Specifically, biocrusts currently cover 12.4% of the Qaidam Basin, with cyanobacterial, lichen, and moss-dominated biocrusts occupying 2.0–5.5% of the basin, primarily distributed along the eastern and southern edges. Biocrust cover is primarily driven by precipitation and vegetation patterns. By 2050, climate change is projected to reduce biocrust cover by 1.0–2.0%. Cyanobacterial and lichen biocrusts could decrease by 0.5–1.2%, while mosses are expected to increase by 0.3–0.8%.
DOI: 10.6084/m9.figshare.28794995.v1
title: <b>Fig. 3. </b>Phylogeny of all the species of the genus <i>Torulaspora</i> based on the complete ITS region.

description: Phylogeny of all the species of the genus <i>Torulaspora</i> based on the complete ITS region.
DOI: 10.6084/m9.figshare.14308463.v1
title: Hatching success, survival, size and development, and behavioral data for two amphibian species exposed to NaCl and energy-related saline wastewaters

description: We investigated the relative effects of NaCl and energy-related saline wastewaters on hatching success, survival, size and development, and behaviors of northern leopard frogs (<i>Rana pipiens) </i>and boreal chorus frogs <i>(Pseudacris maculata)</i>. Eggs were exposed and responses were tracked through hatching for 24 days. Five datasets are included. (1) Includes hatching and survival data for leopard frog eggs and larvae. (2) Includes hatching and survival data for chorus frog eggs and larvae. (3) Includes behavioral responses of both species monitored daily from day 9–24. (4) Includes morphology measurements from larval leopard frogs taken at the end of the experiment on day 24. (5) Includes morphology measurements from larval leopard frogs taken at the end of the experiment on day 24.<i></i>
DOI: 10.6084/m9.figshare.26395120.v1
title: CyTOF data for HCC

description: A group of tumor tissue samples (n=30) from patients with HCC were analyzed with mass spectrometry (CyTOF) for profiling their tumor immune microenvironment.
DOI: 10.17632/z27b3brsvx
title: Image Dataset

description: This is the image dataset for real-time. We have created a questionnaire for the dataset with the assistance of a psychological advisor. Following that, we conducted one-on-one interviews with 75 participants, ages ranging from 18 to 22. We used a study table, a selfie stick, and an appropriately positioned mobile phone to record the video. The video was then turned into images using Python programming.. 375+ labeled images of various emotions, including neutral, happy, angry, sad, disgusted, surprised, and fear, are included in the dataset. This dataset is useful to researchers in emotion recognition, sentiment analysis, cryptography etc.
DOI: 10.6084/m9.figshare.27394875.v3
title: Dataset: Henry’s Constant and Vapor Pressure for 30 Per- and Polyfluoroalkyl Substances (PFAS): Considerations for Vapor Intrusion Investigations

description: This data repository contains the data, Python scripts, and results from a study assessing the vapor intrusion potential of 30 PFAS compounds.
DOI: 10.17632/7yfsv5wyk4
title: Controls on Alkenone Carbon Isotope Fractionation in the Modern Ocean – Supporting Data

description: Here we present data from the article "Controls on Alkenone Carbon Isotope Fractionation in the Modern Ocean." This study explores carbon isotope fractionation in alkenone biomarkers (Ep37:2)––produced by Noelaerhabdaceae coccolithophores––that were recovered from modern suspended particulate organic matter and core-top/late Holocene sediments. We evaluate the influence of CO2, coccolithophore cell size, growth rate, and irradiance on Ep37:2 and test whether observations and quantitative relationships derived from laboratory cultures are applicable to the natural environment. This dataset contains two files. (1) A compilation of coretop and particulate alkenone carbon isotope measurements, as well as coretop alkenone carbon isotope data and coccolith size data generated in this study. This datafile also includes oceanographic data, metadata, and other derived parameters used to conduct the analyses in the study. (2) Estimates of biomass-weighted Noelaerhabdaceae coccolith length and cell radius from a compilation of core-top and water-column samples of Noelaerhabdaceae species abundance and coccolith size measurements. This dataset was used to generate estimates of coccolith length for samples in the alkenone carbon isotope compilation where no measurements were conducted or reported.
DOI: 10.17632/gbgm9bscph
title: A REFERENCE MAP OF SPHINGOLIPIDS IN MURINE TISSUES
DOI: 10.17632/yg4zcs3sn5
title: grcννγ: Event generator for the single- and double-photon emission associated with neutrino pair-production ☆

description: Abstract A new event generator is proposed for two processes e^+ e^- →νν̄γ and e^+ e^- →νν̄γγ where νν̄ includes all the neutrino species. The exact matrix elements of single- and double-photon emission, generated by the GRACE system, are convoluted with the QED parton shower (QEDPS) to deal with the initial state radiations (ISR). It is pointed out that a careful treatment is required to avoid the double counting of the radiative photons between the matrix elements and the ISR part. A detailed compar... Title of program: GRCNuNuGamma Catalogue Id: ADNV_v1_0 Nature of problem Precise cross sections of hard photon productions with missing energy. Study of anomalous triple-gauge-boson couplings at LEP-2. Versions of this program held in the CPC repository in Mendeley Data ADNV_v1_0; GRCNuNuGamma; 10.1016/S0010-4655(00)00254-X This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.15123858.v1
title: Increased microbial and substrate complexity result in higher molecular diversity of the dissolved organic matter (DOM) pool

description: For solid phase extracted DOM (SPE-DOM) isolation, one-liter filtered (0.7-μm GF/F) and acidified (pH 2) seawater was extracted using cartridges (500 mg, Agilent Bond Elut PPL, USA) as described by Dittmar <i>et al.</i>. Mass spectrometry analysis was performed according to He <i>et al.</i>. Individual assigned molecular formula signal intensity was normalized to the total identified molecular formulas intensities with S/N threshold greater than 6. Double bond equivalents (DBE) and modified aromaticity indices (AImod) of identified molecular formulas were calculated as previously described.
DOI: 10.6084/m9.figshare.28515860.v1
title: Supplementary tables

description: Supplementary Tables
DOI: 10.17632/fswng37vbz
title: Dataset Description for "Quantum AI for Cybersecurity Threat Prediction"

description: This dataset is engineered to propel the development of quantum-enhanced anomaly detection systems for cybersecurity, merging real-world network traffic data with the potential for simulated attack scenarios. It comprises two datasets—malicious and non-malicious—crafted to train ML models, leveraging quantum AI to identify subtle anomalies and mitigate cyber threats, particularly those resistant to classical detection methods. Derived from Wireshark captures of normal web browsing and attack simulations, it provides a crucial baseline for quantum machine learning (QML) models.

The dataset's strength lies in its fusion of traditional network attributes. These frequency features are paramount for QML algorithms to discern complex patterns indicative of malicious behavior. For instance, QML can identify minute deviations in source/destination frequency or unusual protocol usage, often missed by classical methods.

Column Descriptions:

No. (Record Number): Unique identifier.
Time: Timestamp of activity.
Source: Source device/IP.
Source_Count: Source frequency.
Destination: Destination device/IP.
Destination_Count: Destination frequency.
Protocol: Network protocol.
Protocol_Count: Protocol frequency.
Length: Packet size.
Info: Contextual details.

Uniqueness of the Dataset:

• Two-Class Design: The dataset includes separate malicious and non-malicious traffic logs, essential for training ML models to differentiate between normal and attack patterns.
• Frequency-Based Features: The inclusion of "Source_Count," "Destination_Count," and "Protocol_Count" significantly enhances analytical capabilities, allowing the detection of anomalies based on activity patterns.
• Comprehensive Network Traffic Attributes: The dataset combines frequency features with standard network traffic attributes (Time, Source, Destination, Protocol, Length, Info), providing a holistic view of network activity.
• Potential for Diverse Analysis: The combination of structured and semi-structured data (in the "Info" column) enables a wide range of analytical techniques, including time series analysis, machine learning, and natural language processing.
• Cybersecurity Focus: Designed for cybersecurity threat prediction, it is valuable for researchers and practitioners in this domain.
• Real-World and Simulated Attacks: The dataset includes both benign traffic and simulated attacks, making it ideal for testing security systems before deployment.

Conclusion:

This dataset, is a powerful tool for cybersecurity analysis. Its strength lies in its ability to establish a baseline and detect deviations, even subtle ones. The inclusion of malicious and non-malicious data enables precise model training for threat detection. It is vital for behavioral analysis, DDoS detection, malware analysis, forensics, and training. This dataset empowers security professionals to develop advanced solutions, enhancing network security by revealing valuable insights from seemingly routine network traffic.
DOI: 10.17632/jbxgjrt3mc
title: Cybersecurity Vulnerabilities in Latin America

description: An analysis of the vessels of cybernetic vulnerabilities in countries of the Latin American region is presented.
DOI: 10.17632/s92h3b9n75
title: Replication package for ‘‘Understanding and Analyzing Changes in Poverty among the Elderly across 16 European Countries Using Decomposition Approach’’

description: This replication package contains all the data access, code, and instructions to reproduce the results presented in the paper:
Paper title: Understanding and Analyzing Changes in Poverty among the Elderly across 16 European Countries Using Decomposition Approach
DOI: 10.6084/m9.figshare.20301429.v1
title: Branch A - run 1 - summary

description: This archive contains the main output files obtained with CAULIFINDER Branch A on the Vitis vinifera genome using default settings and default libraries (run 1 )
DOI: 10.6084/m9.figshare.27106060.v1
title: Polarized paired SNPs (pcM) in the Arabidopsis 1,001 genomes dataset

description: Variant caller format (VCF) file containing polarized SNPs that change ancestral secondary structure