cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ysh8p862v2
title: SHREC 2017 Large Scale 3D Shape Retrieval Dataset (mirror)

description: The contents of this dataset are all of the non-perturbed 3D CAD objects from the 2017 SHREC 3D object retrieval competition, that has initially been made available here: https://shapenet.cs.stanford.edu/shrec17/ Unfortunately, the original files have since been removed, rendering the dataset no longer publicly available. For the purposes of reproducibility of multiple papers, it has been uploaded here as a mirror copy.
DOI: 10.6084/m9.figshare.29161676.v1
title: Zipped folder containing Excel files for Ogren et al, 2025

description: Effect of estradiol on microtubule growth
DOI: 10.17632/bf62c66nt9
title: Real-world experience of tralokinumab for atopic dermatitis: A 16-week multicenter retrospective study

description: Tralokinumab is a novel IgG4 monoclonal antibody against interleukin-13 recently approved for moderate-to-severe atopic dermaitits (AD) in adults and adolescents. While its efficacy and safety have been demonstrated in clinical trials, real-world data remains limited. Herein, we provide evidence regarding tralokinumab use in routine clinical practice.
DOI: 10.17632/n3h6df8hrn
title: Real-world effectiveness of azvudine versus nirmatrelvir-ritonavir in hospitalized patients with COVID-19 and pre-existing diabetes-Raw data

description: Raw data
DOI: 10.17632/npjxkfsjhr
title: PV-INPATIENT

description: Reporting adverse drug reactions (ADRs) by patients may contribute to the improvement of drug safety. Thence, we evaluated Turkish inpatients’ knowledge, attitude, and practice regarding pharmacovigilance in a university hospital in Turkey. An observational, cross-sectional study was performed by a face-to-face questionnaire in 260 inpatients. The mean score of knowledge level (1.38 ± 0.12) was far below that of maximum score (15 points). Although 245 of 260 inpatients (94.62%) were aware of side effects, only 18 of them (6.92%) had heard about the pharmacovigilance term and the Turkish Pharmacovigilance Center. Ten of 18 subjects (55.56%) knew that they could directly report ADRs via the reporting form. Forty-two percent of inpatients had experienced ADRs in the past, 69.16% of them preferred to consult the doctor of concern, stopping the drug being the most selected intervention (60.75%). Solely 11.11% of those who were aware of Turkish Pharmacovigilance Center (n=18) reported ADRs to the center. The knowledge, attitude, and practice of Turkish inpatients about pharmacovigilance is insufficient and should be stimulated via several ways to increase the rate of spontaneous reporting of ADRs and to ensure more sensitive attitude.
DOI: 10.17632/z9jsfg8gbs
title: Programming Procedure in Excel for Calculating Model Variables in a New SEIR Epidemic Model Based on the latent-infectious period chronological order

description: Our new SEIR epidemic model built from the l-i AIR model [1] has similar terms to the conventional SEIR epidemic model [2]. We have uploaded an instruction file for describing how to write a calculation program in Excel for calculating the model variables S, E, I, R and y. 
Calculation equations and results in example 1 and example 2 are the same. The difference is that we used absolute cell reference for parameters l and c in example 2. Thus, if parameters l and c are changed, we can just change the value of l in cell D2 and the value of c in cell E2 in example 2. However, in example 1, we have to change codes related to parameters l and c in all cells from B29-Bn, C29-Cn, D29-Dn and E29-En.

REFERENCES
[1]	Liu, X. A simple, SIR-like but individual-based epidemic model: Application in comparison of COVID-19 in New York City and Wuhan. Results Phys 20, 103712 (2021).
[2]	Liu, X. Analytical Solution of a New SEIR Model Based on Latent Period-Infectious Period Chronological Order. medRxiv, https://doi.org/10.1101/2021.12.14.21267812, 2021.2012.2014.21267812 (2021).
DOI: 10.17632/6xvt7cnffd
title: Dietary Metabotype Score (DMS): NMR quant data and selected metadata for diets 1 and 4

description: 1H-NMR spectroscopy data from 24-hr urine samples from Diets 1 and 4, Dietary Metabotype Score (DMS), blood glucose measurement and urinary calorific value. Data contains quantified values for identified metabolites (in mmol/ml) of 24-hr urine samples for 19 volunteers for the two reference diets in Excel format. For each sample, the DMS, area-under-the-curve (AUC) glucose and calorific value (in J/g) are also given. This data accompanies Garcia-Perez et al. (2020) "Dietary metabotype modelling predicts individual responses to dietary interventions: A feasibility study" Nature Food (submitted, ref.: NATFOOD-19060125C)
DOI: 10.17632/xr9b853f2g
title: Data for: Expression of ClPAP and ClPSY1 in watermelon correlates with chromoplast differentiation, carotenoid accumulation, and flesh color formation
DOI: 10.6084/m9.figshare.25825969.v1
title: ECCV 10464 VCHD Dataset

description: Full VCHD dataset, sample data, and the source information of each video of ECCV submission 10464.
DOI: 10.17632/rmcsfn8h6k
title: FieldTrip scripts for sensor localization

description: Matlab scripts for localizing sensors in FieldTrip [Oostenveld et al., Computational Intelligence and Neuroscience 2011]. SensorLocalization.zip contains the scripts necessary for sensor localization. The scripts in Results.zip were used to generate the results presented in the paper "On-scalp MEG sensor localization using magnetic dipole-like coils: a method for highly accurate co-registration" (Pfeiffer et al., Neuroimage 2019). The MEG and MRI data used in this study are not included due to data privacy restrictions.
DOI: 10.17632/vrvcbm23jw
title: Research data

description: Data for replication
DOI: 10.17632/nfxc786xdx
title: Ovarian Cancer Registry (OVAR); A study protocol for retrospective data collection in Colombian patients with ovarian cancer

description: Abstract
Ovarian cancer is one of the leading causes of death from gynecologic cancer. In Colombia, as in the world, its diagnosis is made in late stages due to the absence of specific symptoms of this disease. 
Objective: The objective of the Ovarian Cancer Registry is (i) to collect clinical and histopathological data using a standardized protocol, (ii) to characterize these patients clinically and histopathological to optimize the diagnosis and treatment, to describe these clinical aspects, which will allow us to understand the clinical particularities of this disease better.
Methods: The Ovarian Cancer Registry is designed as a retrospective for data collection on OVAR patients. All patients under medical care at the Hospital Universitario Mayor Méderi and who have arrived in three possible routes or scenarios: (i) outpatient care, (ii) assessment in emergency services and (iii) references to the oncology service. The OVAR will have information on patients who consulted the Major Hospital from the first of January 2021 with CIE10 C56X and C482. 
Ethics and dissemination: The University of Rosario Ethics Committee approved registry protocol V02 (08/feb/24) No. 2541-CV1830 (Bogotá, Colombia). Registry leaders acknowledge their ongoing ethical responsibilities for all research using this data.
Conclusion: The data from the Ovarian Cancer Registry will be instrumental in establishing optimal management strategies for OC patients, laying the groundwork for future guideline recommendations, and shaping the direction of upcoming research on the Colombian population.
DOI: 10.17632/nk4y768v9c
title: Raw data for Association Between Physician Burnout and Patient Safety, Professionalism, and Patient Satisfaction A Systematic Review and Meta-analysis

description: Raw data, computed data and state commands for all main analyses (Fig 2, 3 and 4) and subgroup analyses presented in JAMA Intern Med. 2018;178(10):1317-1331. doi:10.1001/jamainternmed.2018.3713
DOI: 10.17632/w8td6mp6st
title: Shear wave splitting parameters used to analyze crustal anisotropy in the source region of the 2017 Puebla-Morelos Earthquake

description: The anisotropic data in this repository correspond to fast polarization parameters and normalized delay times obtained using the shear wave splitting methodology from seismic events that occurred in the Puebla-Morelos area. The data are organized according to each figure in the article titled "Spatiotemporal characterization of Crustal Anisotropy in the Source region of the 2017 Puebla-Morelos Earthquake."
DOI: 10.17632/gt8gnn3ygn
title: Occupant Behavior and Indoor Environmental Condition in Under-Actuated Zone (version.1)

description: The dataset underwent meticulous curation to offer a comprehensive insight into occupant behavior and the indoor environment condition within a specific under-actuated zone. Collection of data took place in a designated student corner room located within the Library of Universitas Trilogi, providing an ideal setting for controlled observational studies. The data acquisition period encompassed the entirety of the fall semester during the academic year 2023/2024, only on September to October 2023, including all weekdays from Monday to Friday. The data collection timeframe was carefully selected from 8 AM to 4 PM to ensure the capture of a diverse range of daily activities. The indoor environmental conditions, including temperature, relative humidity, and air pressure.

The designated room, partitioned into three ventilation-based zones, offered a conducive environment for detailed analysis of occupant behavior and environmental variables across distinct spatial contexts. Occupant behavior was meticulously categorized based on a variety of activities, such as sitting, standing, walking, napping, reading, and talking. Furthermore, the dataset provides comprehensive insights into the usage patterns of common appliances within the monitored space, including laptops, cellphones, and headphones, thereby enriching our understanding of occupant interactions with technological devices in the environment.

This dataset's meticulous curation adheres to rigorous academic standards, ensuring its reliability and validity for scholarly research endeavors. By capturing a wide spectrum of occupant behaviors and environmental parameters over an extended timeframe, the dataset serves as a valuable asset for researchers and scholars keen on unraveling the intricate dynamics between human occupants and indoor environments.
DOI: 10.17632/rcgvn92yxx
title: Meteorological and Crop Yield Data of Tea at Monthly, seasonal and Annual scales

description: Meteorological data recorded by the UPASI Tea Research Institute and its Regional Centres are used (UPASI Annual Reports 1981-2015), which is the longest period continuous data across the region is currently available. The rain gauges are provided by the India Meteorological Department (IMD, Chennai), and the Department personnel inspect these gauges and undertake quality control of the data. Reference evapotranspiration (ETo) and cloudiness are calculated according to Penman-Monteith (Allen et al. 1998) and Black (1956) methods, respectively, by using SPEI and EcoHydrology Packages of R Statistics. Soil temperature at 830h and 1430h and soil moisture were derived from daily values input to the Java Newhall Simulation Model (jNSM) Version 1.6.1 (NRCS 2016). All meteorological records were subjected to a visual inspection of reasonableness, completeness and any obvious discontinuities. After quality control of data, the daily values aggregated into monthly, seasonal and annual series. The crop production data at different temporal scales across the regions for the agricultural years 1981-2015 have been collected from the various sources viz., Annual Reports of Tea Board (1981-2005), J Thomas Tea Statistics and Theillai, UPASI monthly advisory circular (2010-2015) publications. The productivity of tea is referred as the ratio of the area harvested and the dry weight of the yield.
DOI: 10.6084/m9.figshare.12448871.v3
title: Optimal Sampling for Generalized Linear Models Under Measurement Constraints

description: Under “measurement constraints,” responses are expensive to measure and initially unavailable on most of records in the dataset, but the covariates are available for the entire dataset. Our goal is to sample a relatively small portion of the dataset where the expensive responses will be measured and the resultant sampling estimator is statistically efficient. Measurement constraints require the sampling probabilities can only depend on a very small set of the responses. A sampling procedure that uses responses at most only on a small pilot sample will be called “response-free.” We propose a response-free sampling procedure optimal sampling under measurement constraints (OSUMC) for generalized linear models. Using the A-optimality criterion, that is, the trace of the asymptotic variance, the resultant estimator is statistically efficient within a class of sampling estimators. We establish the unconditional asymptotic distribution of a general class of response-free sampling estimators. This result is novel compared with the existing conditional results obtained by conditioning on both covariates and responses. Under our unconditional framework, the subsamples are no longer independent and new martingale techniques are developed for our asymptotic theory. We further derive the A-optimal response-free sampling distribution. Since this distribution depends on population level quantities, we propose the OSUMC algorithm to approximate the theoretical optimal sampling. Finally, we conduct an intensive empirical study to demonstrate the advantages of OSUMC algorithm over existing methods in both statistical and computational perspectives. We find that OSUMC’s performance is comparable to that of sampling algorithms that use complete responses. This shows that, provided an efficient algorithm such as OSUMC is used, there is little or no loss in accuracy due to the unavailability of responses because of measurement constraints. Supplementary materials for this article are available online.
DOI: 10.17632/973whj3m8d
title: Shelf life of shrimp coated with gelatin

description: This study aimed to assess the shelf life of Pacific white shrimp coated with gelatin extracted from Nile tilapia concerning microbial degradation, pH levels, total volatile bases nitrogen (TVB-N), trimethylamine nitrogen (TMA-N), and thiobarbituric acid-reactive substances (TBARS) assessed at intervals of 30 days (T0, T30, T60, T90, T120, T150 and T180 days).
DOI: 10.17632/cf83psmrv4
title: Dataset for thermal error compensation in a 3-axis CNC machine

description: This dataset provides comprehensive measurements of positioning errors in 3-axis CNC machines under varying thermal conditions, allowing the identification of accuracy and behavior in CNC machining environments, enabling the understanding of the impact of thermal fluctuations on the machine structure and components with respect to machining precision. Obtaining accurate positioning error measurements in 3-axis CNC machines is time-intensive process. The use of interferometric laser systems requires setup and calibration to ensure precise data acquisition. The replication in several temperature conditions also extend the setup time. This prolonged measurement time is necessary to capture the dynamic variations influenced by thermal fluctuations across X, Y, and Z axes.
DOI: 10.17632/3ybj8jpsnk
title: Climate Change Perceptions Scale for Health and Related Professionals and Students (CCPS-HARPS)

description: Dataset and Supplementary Material
DOI: 10.17632/59z97k52x7
title: sci-RNA-seq3 example datasets for protocol demonstration

description: In the first library, nuclei were not fixed and processed directly for subsequent reactions. In the second library, nuclei were fixed and then frozen in liquid nitrogen. In the third library, nuclei were permeabilized right after fixation and then frozen in liquid nitrogen. The three libraries were generated as pilot data with a small split-pool barcoding scale. The three libraries were sequenced at a low depth with the spike-in sequencing approach at Center for Genome Sciences & Systems Biology at Washington University in St. Louis.
DOI: 10.17632/dx6kk87rtj
title: Data for: Eye movements in viewing urban images and natural images in diverse vegetation periods

description: Eye movements in viewing urban images and natural images in diverse vegetation periods. Raw data from the experiment. Number of fixations and fixation durations.
DOI: 10.17632/h22drbmxmm
title: An improved Marching Cube algorithm for 3D data segmentation

description: Abstract The marching cube algorithm is one of the most popular algorithms for isosurface triangulation. It is based on a division of the data volume into elementary cubes, followed by a standard triangulation inside each cube. In the original formulation, the marching cube algorithm is based on 15 basic triangulations and a total of 256 elementary triangulations are obtained from the basic ones by rotation, reflection, conjugation, and combinations of these operations. The original formulation of th... Title of program: TRIANGOLATE Catalogue Id: AENS_v1_0 Nature of problem Given a scalar field Μ(x,y,z) sampled on a 3D regular grid, build a discrete model of the isosurface associated to the isovalue Μ Iso , which is defined as the set of points that satisfy the equation Μ(x,y,z) = Μ Iso . Versions of this program held in the CPC repository in Mendeley Data AENS_v1_0; TRIANGOLATE; 10.1016/j.cpc.2012.09.030 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.15468/dl.y47g8u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((17.9648 19.8496,8.9648 19.8496,8.9648 10.8496,17.9648 10.8496,17.9648 19.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012904-250525065834625/datasets/export for details.
DOI: 10.17632/3g7bdj422p
title: Energy Balance Drives Diurnal and Nocturnal Brain Transcriptome Rhythms

description: Plasticity in the daily timing of activity has been observed in a wide variety of species, yet the underlying mechanisms driving nocturnality and diurnality remain to be discovered. By regulating how much wheel-running activity will be rewarded with a food pellet, we can manipulate energy balance, and switch mice to be nocturnal or diurnal. Here we present the rhythmic transcriptome of 21 tissues, including 17 brain regions (hypothalamic, thalamic, cortical), sampled every 4 hours over a 24-hour period from nocturnal and diurnal male CBA/CaJ mice. Rhythmic gene expression across tissues comprised a different set of genes with minimal overlap between nocturnal and diurnal mice. We show that genes other than clock genes in the suprachiasmatic nucleus (SCN) of nocturnal and diurnal mice change, and the habenula was the most affected tissue. Our results indicate that adaptive flexibility in daily timing of behavior is supported by gene expression dynamics in many tissues and brain regions, especially in the habenula, which suggests a crucial role for the observed nocturnal-diurnal switch.
DOI: 10.17632/4b9mgh3zf2
title: Replication package for "The Paradox of Seclusion: Regional Differences in Female Employment and Wages in Urban India"

description: Why are urban gender wage gaps lower in northern than in southern states of India, despite greater gender equality (in non-wage dimensions) in the south? I show that this is due to greater suppression of women’s low-wage employment in the north, resulting in stronger positive selection: selection-corrected gaps that impute wages for the non-employed based on observed and unobserved characteristics are similar for both north and south. I suggest that stronger social norms in the north that stigmatize women’s wage work produce lower participation rates, particularly among less-educated, low-wage women who do not have access to white-collar jobs. These patterns of participation introduce significant selection biases in the measurement of gender wage gaps and help explain why urban gender wage gaps are lower in the north.
DOI: 10.17632/mcm7yv8nfz
title: CIF files for: Structure and Activity of Mixed VOx-CeO2 Domains Supported on Alumina in Cyclohexane Oxidative Dehydrogenation

description: Coordinates of structures used for vibrational calculations.
DOI: 10.17632/rcyyf5j9zg
title: Lemon Leaf Classification Data Set

description: Lemon Leaf Classification Dataset: A carefully curated dataset consisting of five distinct classes of lemon leaves, designed for robust image classification tasks. Each class represents unique variations in leaf characteristics, including shape, texture, and disease conditions. This dataset is ideal for developing and testing machine learning and deep learning models, contributing to the advancement of agricultural research. The balanced class distribution ensures a reliable foundation for classification models, enhancing precision in identifying different types of lemon leaves and promoting disease detection.
DOI: 10.17632/tf6ptyfdxm
title: Models and algorithm for construction scheduling

description: From the IFC file we can automatically derive the constraint matrix, which can be input into the algorithm to search for a fully constructible solution.
DOI: 10.6084/m9.figshare.16920022.v1
title: A cell-level quality control workflow for high-throughput image analysis

description: This is the companion web site for publication:Minhua Qiu, Bin Zhou, Frederick Lo, Steven Cook, Jason Chyba, Doug Quackenbush, Jason Matzen, Zhizhong Li, Puiying Annie Mak, Kaisheng Cheng, Yingyao Zhou, BMC Bioinformatics, volume 21, Article number: 280 (2020)<br>Download and unzip the file, open ImageQC_code/ImageQC_BMCBioinformatics/index.html to browse the self-contained web site.<br>You may test the code on features (Features.zip) exacted from those raw images saved in RawImage_*.zip.
DOI: 10.6084/m9.figshare.26490334.v1
title: Gaza War Casualties Oct 7 2023 to July 31 2024 from 8 sources.xlsx

description: This data is associated with a manuscript, presently in review.<br><i>Resources:</i><i> </i>Ministry of Health, UN OCHA, UNRWA, EuroMed Human Rights Monitor, Al Jazeera, Truth of Palestine, and Shehab Agency.<br>Volunteers collect and compile this data on a regular basis. For a current Gaza War Data that includes more than the number of reported causalities, please login to https://iffgaza.org/wardata<br>
DOI: 10.6084/m9.figshare.743695.v10
title: US_NOAA_GSOD_SAMPLE

description: Sample of Stations in the US recording surface metrics in collaboration with NOAA
DOI: 10.17632/ffpx6t6ky4
title: Preeclampsia data

description: baseline characteristics of participants and statisitcal analyses