cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xyvdnnk6dk.1
title: cdugksFOAM

description: A novel X-space parallel framework is introduced. In contrast to traditional discrete physical/velocity space decomposition parallelization methods, it can decompose each space in a hybrid manner and efficiently parallelize the computation. For better conservation of the macroscopic physical variables, flow properties in each cell are updated by moments of microscopic variable fluxes, which preserves particle multiscale information under sparse velocity space mesh. Several test cases, which include 2D lid-driven cavity flow in the transition flow regime, hypersonic rarefied flow past a 3D sphere, are carried out to verify the accuracy of the conserved discrete unified gas kinetic scheme to simulate the flows in all flow regimes. A large-scale parallel computational test case of 3D sphere with 101,600 physical mesh cells and 62,744 velocity mesh cells is conducted to measure the parallel efficiency of the conserved dugksFoam code. A significant superlinear speedup of 1631.87 has been achieved on 1120 cores.
DOI: 10.17632/z8nx775tkp.1
title: The Dataset for: Loss of mGlu5 receptors in somatostatin-expressing neurons alters negative emotional states.

description: This dataset contains Local Field Potentials (raw and filtered LFP signals) from freely moving (cued fear conditioned) SOM-Cre-Grm5 cKO and WT (control) mice during fear retrieval, obtained from the medial prefrontal cortex (mPFC) and ventral hippocampus (vHPC). Data are provided in CED Spike2 format (.smr, or .smrx) as well as MATLAB format (.mat).
DOI: 10.17632/ffpxt24yzd.1
title: NLRP6 induces RIP1 kinase-dependent necroptosis via TAK1-mediated p38MAPK/MK2 phosphorylation in S. Typhimurium infection

description: Programmed cell death (PCD) is tightly orchestrated by molecularly defined executors and signaling pathways. NLRP6, a member of cytoplasmic pattern recognition receptors, has a multifaceted role in host resistance to bacterial infection. However, whether and how NLRP6 may contribute to regulate host PCD during Gram-negative bacterial infection remain to be illuminated. Here, we report that NLRP6 promotes RIP1 kinase-mediated necroptosis, a form of lytic PCD, in both an in vitro and in vivo model of S. Typhimurium infection. By downregulating TAK1-mediated p38MAPK/MK2 phosphorylation, NLRP6 decreased RIP1 phosphorylation at residue S321 and subsequently increased RIP1 kinase-dependent MLKL phosphorylation. Suppression of p38MAPK/MK2 cascade not only reduced the number of dead cells caused by NLRP6 but also decreased the systemic dissemination of S. Typhimurium resulting from NLRP6. Taken together, our findings provide new insights into the role and regulatory mechanism of NLRP6-associated antimicrobial responses by revealing a function for NLRP6 in regulating necroptosis.
DOI: 10.17632/b44rw8mx55.1
title: Higher precision of memory for time using verbal-numerical vs. visuospatial reports

description: In two experimental designs, between and within subjects, we compared two response modes for time memory.
DOI: 10.17632/34d9fjjng8.1
title: Use of Sulfasalazine for Psoriasis: An Evidence-Based Review

description: Psoriasis is a chronic T-helper (Th)-1/Th-17 mediated inflammatory disease which often requires systemic therapy for skin clearance. Sulfasalazine is an anti-inflammatory medication comprised of sulphapyridine and 5-aminosalicylic acid and is used in many immune-mediated systemic and skin-limited diseases. Despite having a favourable adverse effect profile and efficacy demonstrated in small randomized trials, it is currently off-label for treatment of psoriatic arthritis and plaque psoriasis in North America. We performed a systematic review to assess outcomes of sulfasalazine for cutaneous psoriasis.
DOI: 10.17632/6jcyrwj2gh.1
title: PRIN ADAPT MICROBIOLOGY _ Campania

description: Fastq files of fungal community present in harvested grapes were analysed by a culture-independent approach using next-generation sequencing (NGS). Grape berries of Aglianico and Cabernet were collected during the 2020 growing season at the full ripening stage in a site of Campania region. In total, two experimental samples were considered: Aglianico Campania (AC) and Cabernet Campania (CC).
DOI: 10.17632/g3jxt8jmxn.1
title: Supplementary material - dataset of papers relating to change management (176 studies)

description: Dataset of papers used for a systematic literature review of change management practices across industrial fields. Papers were retrieved from Scopus and WOS, along with their bibliographic data, and classified in terms of the methodology applied, country of the study, industrial field.
DOI: 10.17632/scnz7xhcnx.1
title: Research data of Two chironomid-inferred mean July air temperature reconstructions in the South Carpathian Mountains over the last 2000years

description: The chironomid fossil data and the research dataset of Finnish-Polish-Carpathian (FPC) training set.
DOI: 10.17632/hf72y9tgd8.1
title: In vivo experiments

description: Figure 4
DOI: 10.17632/58zsdcm289.1
title: In vitro experiments

description: Figure1 and Figure 2
DOI: 10.17632/hb2prrmh5s.1
title: Datos para Estudio de Consenso de Resultados e Intervención de Enfermería en Soporte Social para el Autocontrol

description: Base de datos para el artículo titulado "Nursing Outcomes and Social Support Intervention for Diabetes Self-management: Consensus Study". El archivo contiene datos sobre el consenso de expertos de dos Etiquetas de Resultado de Enfermería (Autocontrol: diabetes, y Soporte Social) y una intervención de Soporte social en el adulto para el Autocontrol de la diabetes mellitus tipos 2.
DOI: 10.17632/99ybxpvhry.1
title: ART_adoptions_Europe_2004_2017

description: Statistical data on child adoption and Assisted Reproductive Technology (ART) in European countries from 2004 to 2017.

Data on child adoption come from P. Selman (2022) https://assets.hcch.net/docs/a8fe9f19-23e6-40c2-855e-388e112bf1f5.pdf.
Data on ART come from EHSRE https://www.eshre.eu/Data-collection-and-research/Consortia/EIM/Publications.aspx 
Data on employment and GDP come from Eurostat
https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes?lang=en&display=list&sort=category
DOI: 10.17632/kg76556mdw.1
title: Data for: "Cultural Capital and Professional Earnings of Quota and Non-Quota Students from Brazilian Federal Universities", published by RAC-Revista de Administração Contemporânea

description: Data for: "Cultural Capital and Professional Earnings of Quota and Non-Quota Students from Brazilian Federal Universities", published by RAC-Revista de Administração Contemporânea
DOI: 10.17632/fpwtnn9yp8.1
title: CancerSSDTs

description: CancerSSDTs
This repository contains data, codes, and supplementary information used to identify strictly-selective drug targets for 13 cancers.

Requirements
The following tools are needed:

COBRA Toolbox
rFASTCORMICS
CPLEX v12.9.0 or any CPLEX version compatible with MATLAB.

To Obtain Strictly Selective Lethal Sets, Follow the Steps Below:
Initialize COBRA toolbox:
initCobraToolbox
Use rFASTCORMICS to build normal and cancer context-specific models for each tissue. The parameters for this step are provided in BuildCSM.m. Provided models are available in Contex_Specific_Models:
BuildCSM.m
Use RapidSL to identify single and synthetic lethal drug targets for all cancers. A sample script is provided in RunRapidSL.m. All identified selective and non-selective solutions are available in All_Identified_Synthetic_Lethal_Non_Selective:
RunRapidSL.m
Use the FindSSDTs.m function to extract strictly-selective drug targets for each cancer. A sample use of this function is provided in IdentifySelectives.m:
IdentifySelectives.m
All SSDTs identified in this study are available in the Supplementary_File_S1:
This repository represents the data related to the following submitted manuscript:
Manshadi et al.,"Higher order synthetic lethals are keys to minimizing cancer treatment effects on normal cells".
DOI: 10.17632/6zr48hdjrz.1
title: Letrozole Pharmacokinetics and Pharmacodynamics in recurrent high grade glioma patients

description: This is the raw data used to generate PK/PD model for letrozole in the Phase 0/1 clinical trial for the high grade glioma patients.
DOI: 10.17632/grzwszn6ry.1
title: Diagnostic Accuracy of Transient Elastography in Hepatosteatosis in Youth with Obesity

description: Supplementary Tables 1 and 2
DOI: 10.17632/vy5wv4t3zt.1
title: 3D-EUS-PAF: A 3D Endoanal Ultrasound Image Dataset for Assessment of Perianal Fistulas and Abscesses

description: 3D-EUS-PAF dataset includes 160 Three-dimensional endoanal ultrasound images related to 34 patients. This dataset can be used by artificial intelligence (machine learning and deep learning algorithms) for diagnosis, classification, localization and segmentation of 7 classes that are available in the dataset:
1- Intersphincteric Fistula
2- Intersphincteric Abscess
3- Transsphincteric Fistula
4- Suprasphincteric Fistula
5- Perianal Fistula
6- Ischiorectal Abscess
7- Supralevator Abscess

It also can be used for training medical students, interns, residents, specialists, and fellowships (Colorectal surgery).
3D-EUS-PAF is gathered and organized by a team including a professor of gastroenterology, an associate professor of colorectal surgery, a 3D-EUS specialist and a PhD, AI/ML Data scientist.
DOI: 10.17632/22kvzpkbgz.1
title: A Convex Micro-Grid-Based Optimization Model for Planning of Resilient and Sustainable Distribution Systems Considering Feeders Routing and Siting/Sizing of Substations and DG Units

description: Highlights
•
New convex optimization model is proposed for distribution system expansion planning.

•
Optimal resilient microgrid based planning.

•
Routing and hardening of feeders, sizing and siting of substations and distributed generators.

•
Emission reduction as well as uncertainty of wind generations is also taken into account.

•
Reconfigurable microgrids to tackle with severe outage states.

Abstract
Integration of distributed generation (DG) and renewable energy resources (DERs) has affected planning and operation of recent distribution networks (DNs). On the other side, resiliency and sustainability of DNs is the other concern of distribution network operators. In this paper, a new formulation is developed for optimal planning of resilient DNs based on optimal formation of resilient micro-grids (MGs). The formulation aims to implement optimal siting and sizing of conventional and renewable-based DGs, optimal routing and type of feeders, as well as optimal sizing and placement of HV/MV substations to configure adequate and resilient MGs against extreme events. The investment, operational, emissions, and resiliency costs have been included in the objective function, and all the problem constraints as well as uncertainty of renewable DGs have been taken into account. The new formulation uses line-flow-based (LFB) model of AC power flow equations, and reserve feeders (tie-lines) are employed to enhance resiliency after severe outages via reconfiguration concept. All the relations have been convexfied in order to compose a mixed-integer quadratically-constrained (MIQCP) model to be solved with global optimum solvers in GAMS. Efficiency of the conducted methodology has been evaluated by different experiments on the 24-node system, and the results are investigated.
DOI: 10.17632/kbtmvt2f5n.1
title: INFORMATION NEEDS AND INFORMATION SEEKING BEHAVIOUR OF HEALTH WORKERS ON THE TREATMENT OF DIABETIC MELLITUS PATIENTS IN RURAL AREAS IN BENUE STATE, NIGERIA

description: The study investigates the information needs and information-seeking behaviour of clinical health workers for the treatment of diabetic mellitus patients in the rural areas in Benue state Nigeria. Two research questions guided the study. A descriptive survey design was adopted for
the study. A total of four hundred and twenty-two (422) health workers with a sample of two hundred and six (206) clinical health workers from general hospitals in 23 Local Governments Areas in Benue state was used for the study. The questionnaire was used as an instrument for data collection. Data collected was analysed using descriptive statistics of mean and standard
deviation. A mean score cut-off point of 2.50 was used to determine a positive response. The
findings of the study revealed that Information on the care of patients with diabetics, information
on improvement of knowledge in clinical areas on diabetics, information on how to support lifelong learning, and information on occupational hazards, among others are the type of information needs of health workers for the treatment of diabetic mellitus patients in rural areas in Benue State. Often use of the Internet, medical journals, nursing colleagues, and consulting of
doctors’ colleagues, always use of medical libraries, and electronic databases like Cenahlete, amongst others are the channels of information provision for health workers for the treatment of
diabetic mellitus patients in rural areas in Benue State. Lack of internet access, inadequate training of medical practitioners in the use of information, lack of current resources in the medical libraries, inadequate research on user study to identify information needs of health 
practitioners, and inadequate training of library and information professionals, are the
constraints affecting information needs and seeking behaviour of health workers for treatment of
diabetic mellitus patients in rural areas in Benue state. The study recommended that the
Information needs of health workers should be addressed to enable them to have access to
information that will aid them in the treatment of diabetic mellitus patients Channels of meeting
information needs of health workers for the treatment of diabetic mellitus disease should be
made available by government, health care centres, privates and well meaning individuals as
well as adequately equip with information resources to increase health workers access to
information for treatment of diabetic mellitus patients in rural areas. The government through
the Ministry of Health, health care centers, and other relevant stakeholders should address the
various constraints affecting information needs of health workers for the treatment of diabetic
mellitus patients in rural areas in Benue state.
DOI: 10.21227/tfk9-r934
title: data for

description: This data set is from the pictures collected at the industrial production site of the power adapter.The dataset contains surface defects such as scratches, glue spills, dirt, dirty spots, and off-frame labels that occur during the production process of the power adapter.  The original dataset contains 235 images with a height and width of 2448 and 2048, which are annotated in VOC2007 format. These defects were categorized into five classes: label, mark, scratch, smudge, and spill, with each class containing 32, 38, 58, 80, and 32 images.
DOI: 10.25345/c5804xw5r
title: MassIVE MSV000094303 - GNPS Microcystins and Nodularin standards
title: Anabaenopeptin A, Anabaenopeptin B, Microcystin-LA, Microcystin-LF, Microcystin-LR, Microcystin-LW, Microcystin-LY, Microcystin-RR, Microcystin-YR, Microcystin-HtyR, Microcystin-HilR, Nodularin Standard solution 200ppb Collision Energy: 40eV-60eV
DOI: 10.17632/psh8hbb2vs.1
title: Financial Condition Measures (Indonesia)

description: Includes measures of decentralization, regional independence, direct expenditures and local revenue growth from 2017 to 2023 for 66 cities in Indonesia.
DOI: 10.17632/gvn3k8cj9r.1
title: Online Materials for "Control without cause: How covariate control biases our insights into brain architecture and pathology"

description: Online materials for "Control without cause: How covariate control biases 
our insights into brain architecture and pathology" (working title)
by Christoph Sperber et al.
DOI: 10.17632/pdfhrmc984.1
title: snplist

description: pre-block snp list of uk biobank
DOI: 10.17632/jhcdzgdfjp.1
title: Customer compliance with the hospital queuing-recommendation system

description: Customer compliance data for hospital queuing-recommendation system, both at customer level and project level.
Customer level: ID; Date; Total-items; Gender; Age; Payment-type; Expected-cost; Compliance; Waiting-time; Blood-collection; Electrocardiogram; Ophthalmology; Ear-nose-throat; Internal-medicine; Male-surgeon; Female-surgeon; Gynecology; X-ray; Breath-test; CT; Oral-cavity
Project level: ID; Date; Item compliance; Total items; Service progress; Gender; Age; Payment type; Daily flow; Perceived time cost; Expected time cost; Service progress
DOI: 10.17632/z2nsknmksd.1
title: Dataset Automatic scoring on Mole calculation

description: The training dataset designed for understanding and solving chemical calculations, specifically calculating the mass of compounds given the number of moles and molar mass, is a foundational resource for training NLP models in the deep learning domain. This dataset aims to equip models with the ability to accurately interpret and execute chemical calculations presented in textual form. Structured to support the training of advanced NLP models like BERT, GPT, or other transformer-based models, it comprises a series of calculation questions, numerical data for moles and molar mass, and the expected answers in units of mass. Each entry is annotated with additional information such as the calculation category, the formula used, and step-by-step explanations to facilitate model understanding. Presented in the JSON Lines (jsonl) format, this structured approach enables efficient batch processing and individual item analysis, making it an invaluable tool for developing NLP applications capable of performing quantitative chemical problem-solving.

The application of this dataset extends beyond mere calculation to include natural language understanding within the context of chemistry, extracting numerical and contextual information, and generating human-comprehensible textual answers. Post-training, models are evaluated against a separate test dataset to ensure their capability to comprehend questions, extract relevant data accurately, and produce precise numerical answers. Evaluation metrics such as accuracy, precision, and recall in question understanding, along with the numerical accuracy of answers, demonstrate the model's performance. This dataset not only facilitates the research and development of NLP models that apply chemical knowledge to solve quantitative problems but also significantly advances AI's role in chemical education and research.
DOI: 10.17632/vb8ptgynpp.1
title: DFHMT (2024) “Global Natural Rates in the Long Run"

description: Replication files for Davis, Fuenzalida, Huetsch, Mills, and Taylor (2024), "Global Natural Rates in the Long Run: Postwar Macro Trends and the Market-Implied r* in 10 Advanced Economies"
DOI: 10.17632/87kkhjwfyg.1
title: Comparing the cost-effectiveness of drones, camera trapping and passive acoustic recorders in detecting changes in koala occupancy

description: Here we provide the code and the data that underpins the analysis presented in this manuscript. This investigation relies on occupancy modelling followed by power analysis and cost-benefit calculation for different monitoring scenarios. 

Abstract
Quantifying the cost-effectiveness of alternative sampling methods is crucial for efficient biodiversity monitoring and detection of population trends. In this study, we compared the cost-effectiveness of three novel sampling methods at detecting changes in koala (Phascolarctos cinereus) occupancy: thermal drones, passive acoustic recorders, and camera trapping. Specifically, we fitted single-season occupancy-detection models to data recorded from 48 sites in eight bioregions of New South Wales, Australia, between 2018 and 2022. We explored the effect of weather variables on daily detection probability for each method, and using these estimates, calculated the statistical power to detect 30%, 50% and 80% declines in koala occupancy. We calculated power for different combinations of sites (1-200) and repeat surveys (2-40) and developed a cost model that found the cheapest survey design that achieved 80% power to detect change. On average, detectability of koalas was highest with one 24-hr period of acoustic surveys (0.32, 95% CI’s: 0.26, 0.39) compared to a 25-ha flight of drone surveys (0.28, 95% 0.15, 0.48) or a 24-hr period of camera trapping consisting of six cameras (0.019, 95% CI’s: 0.014, 0.025). We found a negative quadratic relationship between detection probability and air temperature for all three methods. Our power and cost analysis suggested that 148 sites surveyed with acoustic recorders deployed for 14 days would be the cheapest method to sufficiently detect a 30% decline in occupancy with 80% power. We recommend passive acoustic recorders as the most efficient sampling method for monitoring koala occupancy compared to cameras or drones. Further comparative studies are needed to compare the relative effectiveness of these methods and others when the monitoring objective is to detect change in koala abundance over time.
DOI: 10.17632/3m878pzf7j.1
title: Ge’ez Language Homophonic Words Sense Disambiguation (WSD) Dataset : Contextual Word Disambiguates of Ge’ez Language with Homophonic Using Machine Learning

description: This dataset has three columns: the first column is named as text, the second column is named as class and the third column is named as homophonic word. The text column contains 1010 text samples for 10 pairs of homophonic Ge'ez words: ነስሐ and ነስኀ, ሐየሰ and ኀየሰ, ጸመመ and ፀመመ, ቀሰመ and ቀሠመ, ሐደመ and ሀደመ, መሀረ and መሐረ, ኀለየ and ሐለየ, መልአ and መልዐ, and ፈጸመ and ፈፀመ, ሠርሐ and ሰርሐ. The sample is a sentence that contains homophonic words. The class column contained the contextual meaning(sense) of the homophonic word in the given sample. The homophonic column contains the identified homophonic word in the given sample. The contextual meaning of words is determined by based on Akalewold Kiflie dictionary
DOI: 10.17632/3n8mffbf6p.1
title: Mono/Multi Repository Database

description: This is a database which contains list of Mono and Multi repository projects. Each project have been presented with JSON file for the better understanding.
DOI: 10.17632/fyyf639wjr.1
title: CAP database

description: This database houses the responses of 200 pregnant adolescents who agreed to participate in the adaptation and validation of the contraceptive counselling scale, based on patient-centered care theory and developed in a second level Mexican care hospital where adolescent girls attended the prenatal consultation. Article under review
DOI: 10.17632/4g3r32cxn2.1
title: Palworld x Pokemon

description: References
DOI: 10.17632/f5892cmvpf.1
title: GWSR Research Data

description: This dataset contains the classification results, the weight proportions of various models, the fitted aboveground carbon storage results, and the coefficient of variation(CV) values in the uncertainty analysis.
DOI: 10.17632/s4ydhws62w.1
title: Enhancing Image Restoration Using a Discrete Variational Model with Triangular Mesh-Based TV

description: The Supplementary Matlab files of the paper
"Behnaz Banaye Zirakkar and Alireza Hosseini, Enhancing Image Restoration Using a Discrete Variational Model with Triangular Mesh-Based TV"

Behnaz's Email: zirakkar@ut.ac.ir.

The matlab codes of Inpainting and Denoising images by means of three variational models are implemented:
1- Total Variation model (TV)
2- Second-order Total Generalized Variation model (TGV)
3- Enhancing Image Restoration Using a Discrete Variational Model with Triangular Mesh-Based TV: Proposed Model
DOI: 10.15151/esrf-es-1548586886
title: XRS test measurements ion CaMgO catalyst at the O K edge and on Pt and Sn metal caralysts deposited on graphene sheets at C K edge.

description: Tests measurement for possible proposals with new possible Id20 users.