cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/r7hvw53srp
title: Fusion cross sections from measurements of delayed X-rays

description: Abstract The program XRAY is a FORTRAN 77 computer code for the extraction of fusion cross sections from delayed X-ray measurements. This is accomplished by calculating the theoretical expressions of the time dependence of the evaporation-residue cross sections and taking them as adjustable parameters in a χ2 minimization procedure. Title of program: XRAY Catalogue Id: ABFL_v1_0 Nature of problem One of the experimental methods used to determine nuclear fusion cross sections is based on measurements of the X-rays emitted during the radioactive decay of evaporation residues. This program is used to extract cross sections for the formation of each evaporation residue from the analysis of the time dependence of the corresponding activities. Versions of this program held in the CPC repository in Mendeley Data ABFL_v1_0; XRAY; 10.1016/0010-4655(88)90176-2 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.17014031.v1
title: Table 4 Removal of heavy metals by microbial nano-particles (NPs).docx

description: Removal of hazardous heavy metals by different nano-particles, synthesized by microbes like bacteria, fungi and microalgae.<br>
DOI: 10.17632/75tpn2yb36
title: Data for: Geochemical cycling of trace metals on the NW Mexican Margin: Variations in the OMZ during the last century
DOI: 10.17632/mszn5hk9nv
title: Red Chilli Adulteration: Digital image Dataset (DS-WH-1)

description: Two datasets including the digital images of Red Chilli Powder (RcP) adulteration specifically the Wonder hot (WH) variety of India, Dataset I (DS I) targeted binary classification, comprising pure WH samples (C1_PWH) and adulterated WH samples (C2_AWH) with a total of 1638 images. ​Furthermore, Dataset II (DS II) supported 16 classes: one for pure WH RcP (WH00) and 15 for adulterated samples (adulterants are Natural adulterants commonly used in industry), representing five natural adulterants (i.e. Wood Saw (WS), Wheat Bran (WB), Wood Saw (WS), Low grade chilli (United (UT) and Guntur mix (GM) at three concentration levels (5%, 10%, and 15%) and the total number of images in DSII is 5852. Tranin (80%) and Testing (20%) split ratio.
DOI: 10.6084/m9.figshare.12423872.v1
title: Head CT collection for patient-specific craniofacial implant (PSI) design

description: Patient-specific cranial implants are used to repair bone defects in the human skull after trauma or previous surgery. Currently, cranial implants are designed and produced by third-party suppliers, which is both time-consuming and expensive. Recent advances in additive manufacturing (AM) made the in-hospital or in-operation room (in-OR) fabrication of personalized implants feasible. However, the design of implants is still manually performed by external manufacturer. To facilitate an optimized surgical workflow, fast and automatic implant design is highly desirable. Data-driven approaches, such as deep learning, show great potential towards automatic implant design. However, a considerable amount of data is needed to train such algorithms which is, especially in the medical domain, often a bottleneck. Therefore, we present a data set containing CT scans of healthy skulls from 24 patients, in which we injected various artificial cranial defects, resulting in 240 data pairs. In addition, we provide the 240 corresponding implants for these data pairs. With our collection, we also disclose a toolbox for processing our data, providing users wanting to work on automatic cranial implant design a solid base for their research.<br><b>Toolbox Link:</b><br>https://github.com/Jianningli/SciData<br><b>Please use the following citation if you use the data in your work:</b><br>J. Li, et al. Head CT Collection for Patient-specific Craniofacial Implant (PSI) Design. Figshare, 2020.<br>J. Li, et al. Synthetic Skull Bone Defects for automatic Patient-specific Craniofacial Implant Design. Sci. Data, 2020.<br><b>The datasets can be viewed with StudierFenster:</b><br>www.studierfenster.at<br><b>Please see also our AutoImplant Challenge for cranial implant design:</b><br>https://autoimplant.grand-challenge.org/<br><br>
DOI: 10.6084/m9.figshare.12980954.v1
title: Gene database of Archaeoglobus fulgidus DSM 8774

description: <i>Archaeoglobus fulgidus</i> is a thermophilic archaeon found in hyperthermal environments such as hot springs and oil fields. With a small genome encoding fewer number of genes compared to the typical bacterial species, <i>A. fulgidus</i> offers many fascinating vistas for inquiry such as in functional genomics, metabolism, and cellular physiology. This work sought to provide the genetic repertoire of <i>A. fulgidus</i> DSM8774 by parsing the annotated genome sequence of the archaeon downloaded from Genbank. Comprising gene name, gene function, and gene sequence, the resource should find use in a variety of molecular phylogeny research seeking to understand the evolutionary origins of this species and the evolutionary context of its metabolic machinery.
DOI: 10.6084/m9.figshare.25981936.v1
title: The genome of <i>Larimichthys crocea</i> (DQ stock)

description: The chromosome-level genome assembly and gene annotation for Daiqu (DQ) stock of <i>Larimichthys crocea.</i>
DOI: 10.6084/m9.figshare.29168402.v1
title: Salk Institue data

description: Sepsis is a life-threatening condition caused by an inappropriate host response to an infection that can lead to multi-organ failure and death. Predictive markers that can inform the trajectory and outcome for a septic patient are necessary to inform treatment and increase the likelihood for patient survival. Here, by leveraging the concept of Lethal Dose 50 (LD50), which is the dose of a pathogen that will kill 50% of a genetically identical host population, we tested the hypothesis that variations in brain structure can be readily used to predict trajectory and outcome in a murine model of sepsis. We found that one week prior to infection, mice that were fated to survive exhibited greater cortical volume, solidity, and thickness compared to those who would succumb to the LD50 challenge, and these metrics were sufficient to train multiple predictive models with 75% to 94% accuracy. Our work reveals a readily measurable non-genetic marker for predicting sepsis prognosis in mice and demonstrates the potential for using pre-infection high-resolution structural brain scans to predict infection outcomes in humans.Non-Survivor: 542, 543,577,585,1701,1702,1713Survivor: 502,503,580,589,1457,1710<br>
DOI: 10.17632/262gtmgzkw
title: 2022_Shayya_UPR_Guidance

description: This repository contains raw, intermediate and final supplementary data associated with the following study:

ER stress transforms stochastic olfactory receptor gene choice into stereotypic axon guidance programs

Hani J. Shayya1,2,3, Jerome K. Kahiapo1,3, Rachel Duffié1, Katherine S. Lehmann4, Lisa Bashkirova1, Kevin Monahan1, Ryan P. Dalton5, Joanna Gao6, Song Jiao4, Ira Schieren1, Leonardo Belluscio4, and Stavros Lomvardas1,7,8

1Mortimer B. Zuckerman Mind, Brain and Behavior Institute, Columbia University, New York, NY 10027, USA
2Medical Scientist Training Program, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
3Integrated Program in Cellular, Molecular, and Biomedical Studies, Columbia University Irving Medical Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
4Developmental Plasticity Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892 USA
5The Miller Institute for Basic Research in Science, University of California Berkeley, Berkeley, CA 94720 USA
6Barnard College, New York, NY, 10025 USA
7Department of Biochemistry and Molecular Biophysics, Columbia University Irving Medical Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
8Department of Neuroscience, Columbia University Irving Medical Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA

Abstract:
Olfactory sensory neurons (OSNs) transform the stochastic choice of one out of >1000 olfactory receptor (OR) genes into precise and stereotyped axon targeting of OR-specific glomeruli in the olfactory bulb. Here, we show that the PERK arm of the unfolded protein response (UPR) regulates both the glomerular coalescence of like axons, and the specificity of their projections. Subtle differences in OR protein sequences lead to distinct patterns of endoplasmic reticulum (ER) stress during OSN development, converting OR identity into distinct gene expression signatures. We identify the transcription factor Ddit3 as a key effector of PERK signaling that maps OR-dependent ER stress patterns to the transcriptional regulation of axon guidance and cell adhesion genes, instructing targeting precision. Our results extend the known functions of the UPR from a quality control pathway that protects cells from misfolded proteins, to a sensor of cellular identity that interprets physiological states to direct axon wiring. 

Please see https://github.com/hshayya/2022_Shayya_UPR_Guidance for code and additional information on organization of the dataset.
DOI: 10.17632/th4yv974r2
title: Drilling tool wear dataset

description: This dataset has accelerometer data collected from a drilling process for four tools as they are run from new condition to a point when they are blunt. The file naming convention used is: The words 'DrillingToolWearDataset_' is common to all data files. The terms 'Txx_' following these terms indicate the tool number with xx taking the values 01,02,03 or 04, indicating tools 1-4. The terms 'Rxx' following this indicates the run number and will have values 01 or 02 indicating Run 1 or Run 2. The tool starts as a new tool at the beginning of run 1. The drilling process is stopped at the end of run 1 and the tool is inspected ted visually for wear. Then the same tool is used to continue the drilling process till it is completely blunt at the end of run 2. Other specifications: Accelerometer: Dytran 3-axis accelerometer (Model: 3273A2). Data Acquisition System: National Instruments NI cDAQ 9174 Sampling rate: 1000 samples/second Drilling Speed: 490 RPM, Feed: 0.285 mm/rev
DOI: 10.6084/m9.figshare.25375129.v1
title: improved-yolov5

description: The code is an executable file, which contains the codes of three innovations in the paper and the yaml file of the data set. See the readme file for specific operations.
DOI: 10.6084/m9.figshare.26125483.v1
title: Soft robotic shorts improve outdoor walking efficiency in older adults

description: As people grow older, their walking efficiency declines, posing constraints on mobility and affecting independence and life quality. While wearable assistive technologies are recognized as a potential solution for age-related movement challenges, few have proven effective for older adults, predominantly within controlled laboratory experiments. Here we present WalkON, a pair of soft robotic shorts designed to enhance walking efficiency for older individuals by assisting hip flexion. The system features a compact and lightweight tendon-driven design, using a controller based on natural leg movements to autonomously assist leg propagation. To assess the impact of WalkON in daily walking, we initially conducted a technology assessment with young adults on a demanding outdoor uphill 500m hiking trail. Subsequently, we validated our findings with a group of older adults walking on a flat outdoor 400m track. WalkON significantly reduced the metabolic cost of transport by 17.79% for young adults during uphill walking. Concurrently, participants reported high perceived control over their voluntary movements (self-reported mean score of 6.20 out of 7 on a Likert scale). Similarly, older adults saved 10.48% of metabolic cost when using WalkON during level ground walking, while retaining a strong sense of movement control (mean score of 6.09 out of 7). These findings emphasize the potential of wearable assistive devices to improve efficiency in outdoor walking, suggesting promising implications for promoting physical well-being and advancing mobility, particularly during the later stages of life. <br>
DOI: 10.6084/m9.figshare.28430909.v1
title: tmRNA database

description: Database of unique tmRNA sequences [accompanying Nawrocki, Petrov, Williams, 2025. Expansion of the tmRNA sequence database and new tools for search and visualization. NAR Genom Bioinformatics]. Columns:Unique IDGene formGene segments and their positions on the segmentsEncoded proteolytic tag sequenceGenetic code used for tag translation (https://en.wikipedia.org/wiki/List_of_genetic_codes)Comma-separated scores from Aragorn v1.2.40 and the CMs alpha_tmRNA, beta_tmRNA, cyano_tmRNA, permuted_tmRNA, mt-tmRNA, tmRNA, tmRNA_standard, tmRNA_intronTaxonomy (for prokaryotes, from GTDB release 214)Gene sequence with lower case marking tag CDS, intervening sequence (IVS), and bases corresponding to CCA tailCount of known instances of this sequenceKnown instances ([assembly ID for prokaryotes/]GenBank accession/coordinates)Search phase (see Methods)Note
DOI: 10.17632/d7bxkk8vr2
title: Profil épidémiologique, clinique et facteurs de risque de diabète sucré. Cas de l’Hôpital Provincial Général de Référence de Kinshasa

description: Diabetes mellitus is a frequent chronic metabolic disease, considered as epidemic.  Methods: It’s a descriptive and retrospective study based on a sample of 50 patients at the HPGRK on a period of 2 years. Results: About 60% were women and 40% men with a sex ratio of 1,5/1.  The most affected group was between 52 and 62 years old, 94% of patients had an age > 40 ans with an average age of 55,48±11,620. Type 2 was predominant with 82,0%. 32% of patients were often obese (12%) and overweight (20%) and 8% malnourished.  The cardinal signs of diabetes mellitus (44%) were the main complaints. The glycemia > 200 mg/dl (64%). Diabetes risk factor returns to family history of diabetes mellitus (56%) and cardiovascular risk factors to alcohol (60%) and high blood pressure. The diabetic foot was the main complication (42%). Conclusion: Diabetes mellitus is common. It often affects women more than men over the age of 40. Diabetic foot is the most common complication.
DOI: 10.17632/p89fwbzmkd
title: MEx - Multi-modal Exercise Dataset for Human Activity Recognition

description: The MEx Multi-modal Exercise dataset contains data of 7 different physiotherapy exercises, performed by 30 subjects recorded with 2 accelerometers, a pressure mat and a depth camera. **Application** The dataset can be used for exercise recognition, exercise quality assessment and exercise counting, by developing algorithms for pre-processing, feature extraction, multi-modal sensor fusion, segmentation and classification. ** Data collection method ** Each subject was given a sheet of 7 exercises with instructions to perform the exercise at the beginning of the session. At the beginning of each exercise the researcher demonstrated the exercise to the subject, then the subject performed the exercise for maximum 60 seconds while being recorded with four sensors. During the recording, the researcher did not give any advice or kept count or time to enforce a rhythm. ** Sensors** Obbrec Astra Depth Camera - sampling frequency – 15Hz - frame size – 240x320 Sensing Tex Pressure Mat - sampling frequency – 15Hz - frame size – 32*16 Axivity AX3 3-Axis Logging Accelerometer - sampling frequency – 100Hz - range – 8g ** Sensor Placement** All the exercises were performed lying down on the mat while the subject wearing two accelerometers on the wrist and the thigh. The depth camera was placed above the subject facing down-words recording an aerial view. Top of the depth camera frame was aligned with the top of the pressure mat frame and the subject’s shoulders such that the face will not be included in the depth camera video. ** Data folder ** MEx folder has four folders, one for each sensor. Inside each sensor folder, 30 folders can be found, one for each subject. In each subject folder, 8 files can be found for each exercise with 2 files for exercise 4 as it is performed on two sides. (The user 22 will only have 7 files as they performed the exercise 4 on only one side.) One line in the data files correspond to one timestamped and sensory data. **Attribute Information** The 4 columns in the act and acw files is organized as follows: 1 – timestamp 2 – x value 3 – y value 4 – z value Min value = -8 Max value = +8 The 513 columns in the pm file is organized as follows: 1 - timestamp 2-513 – pressure mat data frame (32x16) Min value – 0 Max value – 1 The 193 columns in the dc file is organized as follows: 1 - timestamp 2-193 – depth camera data frame (12x16) dc data frame is scaled down from 240x320 to 12x16 using the OpenCV resize algorithm Min value – 0 Max value – 1
DOI: 10.17632/znhj6hnr6r
title: Time-Varying Sources of Fluctuations in Global Inflation

description: Data for the manuscript entitled "Time-Varying Sources of Fluctuations in Global Inflation"
DOI: 10.6084/m9.figshare.25874515.v1
title: FMCW radar dataset

description: The raw dataset is simulated by 24Ghz FMCW radar, containing 11 daily human activities. Standing in a fixed position while rotating his body (B); kicking (K), punching (P), grabbing an object (G), walking back and forth in front of the radar (W), standing up from chair (SU), sitting down on chair (SD), stands up from chair to walk (STW), walks to sit on chair (WTS), walks to fall on the ground (WTF), standing up from ground to walk (FTW).
DOI: 10.6084/m9.figshare.6508187.v1
title: OTU and Taxonomy tables

description: OTU and taxonomy tables The provided operational taxonomic unit (OTU) table and associated taxonomy table were generated with the program Quantitative Insights Into Microbial Ecology (QIIME) as described in the methods sections of the journal article.<br> <b>Reference</b> <b>Ingham AC, Kielsen K, Cilieborg MS, Lund O, Holmes S, Aarestrup FM, Müller KG, and Pamp SJ. (2019) </b>Specific gut microbiome members are associated with distinct immune markers in pediatric allogeneic hematopoietic stem cell transplantation. Microbiome 7:131 https://doi.org/10.1186/s40168-019-0745-z <br>
DOI: 10.6084/m9.figshare.8109347.v1
title: 600 datasets from LOD Laundromat

description: 600 datasets from LOD Laundromat.
DOI: 10.17632/j8b9v4cb9d
title: A dataset for validation of artifical neural network models for SOFC

description: The data sets shown here include voltage and current values from polarization curves, which are gained from experimental tests performed on SOFCs as well as the data generated employing a multi-physic model for SOFCs. The same data set is used to validate the computed data from the publication "Artificial intelligence for time-efficient prediction and optimization of solid oxide fuel cell performances", volume 230, 113764, published in Energy Conversion and Management. If the researchers use these data to develop and validate new networks and models, please cite the following studies: (1) Artificial intelligence for time-efficient prediction and optimization of solid oxide fuel cell performances, Energy Conversion and Management (230), 2021, DOI: https://doi.org/10.​1016/​j.​enconman.​2020.​113764 (2) Performance assessment of industrial-sized solid oxide cells operated in a reversible mode: Detailed numerical and experimental study, International Journal of Hydrogen Energy 45 (53), 2020, DOI: https://doi.org/10.1016/j.ijhydene.2020.07.165. The data are available as .txt files, in which the operating current density, operating temperature, and voltage are presented. The temperature is varied between 750, 775, 800, and 825°C. The fuel used contains hydrogen, steam, and nitrogen. The volume fractions of the individual components are given in the document title.
DOI: 10.6084/m9.figshare.24455308.v1
title: AP_AST_DATA_FIG.csv

description: This child and youth data was collected from India and contains variables related to air pollution, built environment, activity behaviours, and other sociodemographic variables.
DOI: 10.6084/m9.figshare.27936879.v1
title: The-ARRIVE-Author-Checklist-Full.pdf

description: Study of the effects of Moringa oleifera-mediated selenium nanoparticles in diabetic rats.
DOI: 10.17632/9w3cznz3nv
title: Sea Forecast and Waves Classification for Florianópolis beaches

description: Sea forecast is represented by files day_forecast.csv, hour_forecast.csv and tide.csv. Contains sea metrics like swell direction and height, wind speed and direction, period, and others. Beach.csv and spot.csv represents a local register. Sea_condition_fact.csv contain some classifications of spot, ready for a supervisioned learning algorithms. And facts files contains a result of a naive bayes algorithm, with the probabilities for each characteristics, texture os sea, wave size (or wave height) and wave shape.
DOI: 10.17632/fdvg77b24m
title: Heat transfer coefficient for upward forced convective flows of heated supercritical carbon dioxide in vertical tubes

description: Accurate heat transfer prediction is crucial for optimizing supercritical power cycles. This study presents new Nusselt number correlations for forced convection heat transfer of supercritical carbon dioxide flowing upward in heated tubes. Existing correlations often suffer from reduced accuracy near the pseudocritical point. The study addresses this challenge by employing a systematic correlation modelling framework to develop region-specific correlations tailored to distinct fluid regions, namely liquid-like, near-pseudocritical, and gas-like regions. A novel interpolation methodology utilizing sigmoid functions is implemented to ensure smooth transitions between these regions. Furthermore, stability functions based on kinematic viscosity are introduced to enhance the stability of the correlations during iterative processes. The resulting three-variable correlation, incorporating the Reynolds number, Prandtl number, and a stability function, demonstrates significantly improved accuracy relative to existing correlations, achieving a maximum percentage error of 52 % and a mean absolute percentage error of 11 %. This work provides valuable tools for the design and optimization of supercritical power cycles, particularly during transient events in which precise heat transfer predictions are essential.
DOI: 10.6084/m9.figshare.12149601.v1
title: Extended data.docx

description: Extended data for the project titled "Predicting response and toxicity to PD-1 inhibition using serum autoantibodies identified from immuno-mass spectrometry"<b></b>
DOI: 10.6084/m9.figshare.12611666.v2
title: Activities of the perirhinal cortical neurons analyzed at single-neuron and population levels

description: Dataset analyzed and produced in "Dynamic coordination of the perirhinal cortical neurons supports coherent representations between task epochs" by Ohnuki et al., (2020).
DOI: 10.6084/m9.figshare.20484342.v1
title: Datasets

description: Data for sea spray impacts on Tropical Cyclone Olwyn using a coupled atmosphere-ocean-wave model
DOI: 10.6084/m9.figshare.21510939.v1
title: submatrix.tsv.gz

description: Protein-protein similarity data for human and yeast proteome calculated by SIMAP2.
DOI: 10.6084/m9.figshare.21871401.v1
title: Neurips_subsampling.h5ad

description: Neurips subsampling dataset
DOI: 10.6084/m9.figshare.26240519.v1
title: Adicción a las redes sociales y estilo de vida

description: Base de datos sobre ARS y estilo de vida.