cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24218655.v1
title: Supplementary Material for: Lung hypoplasia in Fetuses with Skeletal Dysplasia Determined by Fetal Lung Weight. Which Ultrasound Measurement/Ratio Has the Highest Detection Rate

description: Introduction To determine lung hypoplasia in cases with fetal skeletal dysplasia based on the total lung weight at autopsy as the most accountable surrogate marker for pulmonary hypoplasia. Methods This retrospective cohort study included all pregnancies with antenatal diagnosis of skeletal dysplasia(2012-2018). We included only cases in which information on fetal biometry was available within 2 weeks before delivery and had autopsy and skeletal X-rays+molecular analysis using extracted fetal DNA. We compared the predictive accuracy of fetal sonographic body-proportional ratios including:(1) thoracic circumference-to-abdominal circumference(TC/AC) ratio, (2)the femur length-to-abdominal circumference(FL/AC) ratio, (3)head circumference-to-abdominal circumference(HC/AC) ratio, and (4)foot length-to-femur length ratio. Lung hypoplasia was defined as total lung weight below -2SD from the expected mean for gestational age. Results 53 pregnancies with antenatal diagnosis of skeletal dysplasia underwent autopsy included. Lung hypoplasia was determined in 34(64.1%). Median of gestational age at last sonographic assessment was 21.3(19.9-24.9) weeks. FL/AC ratio demonstrated the highest area under the curve of 0.817(95%CI:0.685-0.949;p&lt;0.0001). FL/AC≤0.1550 demonstrated the highest detection rate of 88.2% along with the highest negative predictive value(NPV) of 75%. Discussion/Conclusion Using a novel, more practical approach to predict lung hypoplasia in skeletal dysplasia, fetal sonographic body-proportional ratios and, specifically, FL/AC ratio demonstrate a high detection rate of lung hypoplasia.
DOI: 10.17632/4w29kvftb5
title: Data for Sperber & Dadashi

description: Data for Sperber & Dadashi "The influence of sample size and arbitrary statistical thresholds in lesion-network mapping" (working title)
DOI: 10.17632/6n6ssn69ns
title: Data for: Ficus deltoidea: effects of solvent polarity on antioxidant and anti-proliferative activities in breast and colon cancer cells

description: Analyses of antioxidant activities and anti-proliferative effects of various solvent extracts of Ficus deltoidea
DOI: 10.17632/6rwc39pvfp
title: Image classification of sugarcane aphid density using deep convolutional neural networks

description: Computer codes for sugarcane aphid density image classification using deep convolutional neural networks. Because of limited storage, imagery will be available by request to the principal author after the embargo.
DOI: 10.17632/pyhv9h52pk
title: Data for: Asian Financial Market Integration and the Role of Chinese Financial Market

description: Data consists of 10 Asian countries, Japan, China, Hong Kong, Taiwan, South Korea, Singapore, Malaysia, Thailand, Indonesia, Philippines plus U.S., total 11 countries. Monthly stock market index and nominal exchange rates (end of the month in local currency terms) are collected from Datastream from January 1990 to December 2013 total 288 monthly observations. Monthly dividend yield is obtained from the Bloomberg for the sample period.
DOI: 10.17632/dfxxf4wkcw
title: CT images for "Temperature fluctuation driven salt crystallization in salt lakes and nearby sands—Lab emulations"

description: CT images recording the Na2SO4 crystallization process in bulk solution and porous media under temperature fluctuations.
DOI: 10.17632/gbtjt9nk36
title: URL extraction results: testing on-premise LLMs on selected exploits

description: This dataset presents URL extraction results from testing three on-premise Large Language Models (LLMs): Llama 3.1: 8B, Qwen 2.5 Coder: 7B Instruct, and Codestral: 22B. Each model has its directory containing subdirectories organized by CVE names, which in turn contain text files named after corresponding exploit IDs from ExploitDB or PacketStorm. These text files represent each model's output when tasked with extracting URLs that would be accessed during the execution of the exploit code, enabling direct reference to the original exploit samples.
DOI: 10.17632/y5m75wv2mg
title: Supplementary materials

description: Supplement A: Methods
DOI: 10.6084/m9.figshare.13506954.v4
title: Existence of a late Cretaceous–early Paleogene continental-scale river system in eastern Tibet

description: Detrital zircon geochronology data for "Existence of a continental-scale river system in eastern Tibet during the late Cretaceous–early Palaeogene"<br>
DOI: 10.6084/m9.figshare.25109225.v1
title: Chlorophyll-a Data

description: The dataset consists of chlorophyll-a concentration data collected from 33 sites using AP-7000 sensors.
DOI: 10.6084/m9.figshare.6292253.v2
title: Yelp 2014

description: This dataset is a sub dataset of the Yelp Challenge.
DOI: 10.17632/wbf79hgn5c
title: dataset_carsharing

description: This dataset contains the assessment of psychological predictors of the behavioral intention to use carsharing. The participants are divided into users and non-users of carsharing in Italy and Sweden. The data was gathered by an online questionnaire, available in Swedish, Italian, and English versions. This dataset is a subset of the relevant variables for the hypotheses testing described below. To access the full dataset, please access: 10.5281/zenodo.3661118
The hypotheses encompass that behavioral intention to use carsharing is expected to be positively and directly predicted by people’s climate morality (environmental concern and personal norms) (H1), subjective norms (H2), control (to what extent they perceive being in control to actively choose to use the service) (H3), and trust (on the availability and in what extent they could rely on the service) (H4). The last hypothesis is that driving habits will negatively predict the intention to use carsharing (H5). 
The main findings from the analysis of this data were:
 •	Control was the main predictor of intention to use carsharing. 
•	Driving habits had stronger negative effects for users of carsharing than for non-users.
•	Subjective norms positively predicted the intention to use carsharing among all groups. 
•	Trust was a predictor of intention only for the Italian groups. 
•	Climate morality had a small negative effect on the Swedish groups only.
DOI: 10.6084/m9.figshare.20375394.v1
title: Annual dynamic dataset of global land surface phenology from AVHRR data using multiple phenology retrieval methods for the period 1982 to 2018

description: We retrieved the global SOS, maturity, senescence, and EOS from 1982 to 2018 using four common phenology retrieving methods based on long time series of AVHRR observations, considering multiple vegetation growing seasons in a year.
DOI: 10.6084/m9.figshare.24187548.v2
title: Additional file 5: Table S4

description: <b>A</b>. Levels of DE miRNAs of this study in semen samples from Pauli et al. and Morgan et al. <b>B</b>. Levels of DE miRNAs of this study in semen samples characterized by high or low fertilization rate. <b>C</b>. Levels of mice homolog of DE miRNAs of this study in cells from different phases of spermatocyte differentiation.
DOI: 10.6084/m9.figshare.22838162.v1
title: Supplementary Material for: Clinical Characterization of Demoralization

description: Medicine
DOI: 10.17632/r6vvxjpskf
title: Distinct Binding Preferences Between Ras and Raf Family Members and the Impact on Oncogenic Ras Signaling by Terrell et al

description: The Ras GTPases are frequently mutated in human cancer and although the Raf kinases are essential effectors of Ras signaling, the tumorigenic properties of specific Ras-Raf complexes are not well characterized. This study examines the ability of individual Ras and Raf proteins to interact in live cells using bioluminescence resonance energy transfer (BRET) technology. The BRET system allows quantitative measurements to be obtained under conditions that preserve crucial features of Ras and Raf regulation, including lipid processing, intracellular trafficking, membrane microdomain targeting, and protein phosphorylation. Strikingly, our findings demonstrate pronounced binding preferences between the Ras and Raf family members. We find that while C-Raf and K-Ras can bind with high affinity to all Ras or Raf family members respectively, H-Ras displays preferential binding to C-Raf whereas B-Raf exhibits a striking selectivity for K-Ras. The B-Raf selectivity is mediated by the acidic, N-terminal segment of B-Raf and requires the K-Ras polybasic region for high-affinity binding. This study also finds that C-Raf is required for mutant H-Ras-driven signaling and that events inducing stable B-Raf/C-Raf dimer formation, such as Raf inhibitor treatment or certain B-Raf mutations, allow mutant H-Ras to engage B-Raf with increased affinity to promote ERK activation and tumorigenesis.
DOI: 10.17632/f697vhcxwc
title: CSRRS31

description: It contains sociodemographic information and CSRRS individual answers
DOI: 10.17632/rb6yfjxrv3
title: Nektar++: An open-source spectral/ h p element framework

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract Nektar++ is an open-source software framework designed to support the development of high-performance scalable solvers for partial differential equations using the spectral/ h p element method. High-order methods are gaining prominence in several engineering and biomedical applications due to their improved accuracy over low-order techniques at reduced computational cost for a given number of degrees of freedom. However, their proliferation is often limited by their complexity, which makes th... Title of program: Nektar++ Catalogue Id: AEVV_v1_0 Nature of problem The Nektar++ framework is designed to enable the discretisation and solution of time-independent or time-dependent partial differential equations. Versions of this program held in the CPC repository in Mendeley Data AEVV_v1_0; Nektar++; 10.1016/j.cpc.2015.02.008
DOI: 10.17632/x544r9b7jx
title: Data for - The grandparents’ effects on grandchildren’s education: Evidence from rural India

description: Article: The grandparents’ effects on grandchildren’s education: Evidence from rural India

This article uses data from India Human Development Survey II conducted in 2011-12 (Desai and Vanneman, 2012). The data is available for download for the public after registration at the site: https://www.icpsr.umich.edu/web/DSDR/studies/36151 

We use the following datasets of IHDS in this article:
1.	Individual
2.	Household
3.	Eligible Women
4.	Non Resident
5.	Village

The do file has commands to 1) to merge the above datasets and create one file,  2) to construct variables used in the analysis 3) to generate all tables/figures of descriptive satistics and 4) all regression analyses performed in the paper.
 
Reference:
Desai, Sonalde, and Vanneman, Reeve. India Human Development Survey-II (IHDS-II), 2011-12. Inter-university Consortium for Political and Social Research [distributor], 2018-08-08. https://doi.org/10.3886/ICPSR36151.v6
DOI: 10.6084/m9.figshare.7189415.v1
title: Fishing mortality at age estimates obtained from stock assessment reports for each stock, together with the fishing mortality averaged across the most exploited age classes (mean F).

description: Time series of fishing mortality at age estimates obtained from stock assessment reports for each stock avalaible from ICES (www.ices.dk). The fishing mortality averaged across the most exploited age classes for each stock, commonly used as a proxy for fishing exploitation, is also represented.<br>
DOI: 10.17632/s7rxcxkms6
title: Good and Bad classification of Simui

description: The dataset for the project on the classification of cooked Simui (a type of traditional dish) consists of 1,000 samples, divided into two categories: *500 good samples* and *500 bad samples*. This dataset aims to build a classification model capable of distinguishing between well-cooked and poorly-cooked Simui. 

### *Dataset Overview:*

The samples in this dataset are based on specific characteristics of the cooked Simui, such as texture, appearance, flavor, and consistency. These qualities are commonly used by culinary experts to assess the quality of cooked Simui. The good and bad samples were carefully labeled based on sensory evaluations conducted by culinary specialists. Each sample was carefully selected to represent real-world scenarios of properly cooked versus poorly cooked Simui.

### *Class Labels:*
- *Good Simui (500 samples):* These are the samples that meet the required standards for a well-prepared Simui dish. They exhibit the right texture (neither too soft nor too dry), a pleasing appearance (uniform and smooth), and an appealing taste and aroma. The cooking method, timing, and ingredients contribute to the final quality of the dish.
 
- *Bad Simui (500 samples):* These samples represent cooked Simui that failed to meet the standards. Common characteristics of bad Simui include overcooked, undercooked, clumped, overly dry, too mushy, or having an unappetizing appearance. The dish may also have an undesirable taste, underseasoning, or improper consistency.

### *Features:*
The dataset includes a variety of features that contribute to the classification of good or bad Simui. These features may include:
1. *Texture:* The mouthfeel of Simui, categorized as soft, firm, or mushy.
2. *Appearance:* The visual quality, including color, shape, and consistency of the Simui strands.
3. *Aroma:* A descriptive analysis of the smell, where a fresh, pleasant aroma denotes good quality, while a burnt or sour smell represents a bad sample.
4. *Taste:* The flavor profile, including sweetness, saltiness, and seasoning balance. This is an important sensory aspect in distinguishing good from bad Simui.
5. *Moisture Content:* This feature measures the water content of the cooked Simui. Proper moisture level is crucial for the perfect texture.
6. *Clumping:* Whether the Simui strands remain separated or clump together in a sticky mass. Clumping is often a sign of overcooking or improper preparation.
7. *Cooking Time:* A feature to track how long the Simui was cooked. Cooking time directly influences the texture and consistency.

Each sample has been labeled according to a set of predefined quality criteria established by culinary experts, ensuring that the dataset is consistent and reliable.
DOI: 10.6084/m9.figshare.23789685.v2
title: In Silico Sorghum GxExM Dataset For Prediction Algorithm Comparisons

description: # In Silico Sorghum GxExM Dataset For Prediction Algorithm Comparisons ## Background A simulated Multi-Environment Trial (MET) dataset to stimulate the development and comparisons of predictive algorithms to deconvolute genotype-by-environment-by-management interactions in plant breeding. Contains Genomic (SNP & QTL) & Phenotypic Data for Multiple Traits. <br> ### Data ##### Genotype <br> *qtl_effects.csv* Information on Causal Genomic Sites (Quantitative Trait Loci - QTL) & their Effect Sizes on Component Traits; - Column 1: QTL Effect Sizes For Propensity To Tiller (ptt) - Column 1: QTL Effect Sizes For Canopy (ams) - Column 1: QTL Effect Sizes For Maturity (mtu) - Column 2: QTL Order - Column 3: Effect Size of each QTL - Column 4: Location Information of each QTL (ChromosomeNumber_WithinChromosomeIndex) <br> *QtlIndex.csv* Information on QTL position for each Component Trait. Position Number connects to Column order in qtl.csv - Column 1: Per Component Trait QTL Index - Column 2: QTL Positions For Propensity To Tiller (ptt) - Column 3: QTL Positions For Canopy (ams) - Column 4: QTL Positions For Maturity (mtu) <br> *qtl.csv* Information on Number of Gene Copies (Alleles) at each QTL for each individual - 1st Column: Individual ID - 2nd Column Onnwards: QTL Allele Counts *markers.csv* Information on the number of Gene Copies (Alleles) at each SNP (Non-Causal Genomic Sites) for each individual - 1st Column: Individual ID - 2nd Column Onwards: SNP Allele Counts <br> ##### Trait Records <br> *trait_data.csv* Trait Records for each individual - Column 1: Genotype ID - Column 2: Phenotype (without error) for Propensity of Tiller (ptt) - Column 3: Phenotype (without error) for Canopy (ams) - Column 4: Phenotype (without error) for Maturity (mtu) - Column 5: Environment/Site where crop was grown - Column 6: Phenotype (without error) for Biomass - Column 7: Phenotype (without error) for Grain Yield - Column 8: Simulated Error for Grain Yield Observations in Column 9 - Column 9: Phenotype (with error) for Grain Yield (Heritability=0.99)
DOI: 10.17632/n8k6ss8hcg
title: Special economic zones upgrading and carbon emission reduction firm level data

description: In calculating the carbon emissions of listed companies, we use fossil energy consumption, electricity consumption, and heat consumption manually collected from the corporate social responsibility reports (CSR reports), sustainable development reports, and environmental reports disclosed annually by 3,352 listed Chinese companies from 2003 to 2021. We have manually sorted out the list and time of the upgrading of SEZs in 272 cities. The relevant information about the upgrading of SEZs comes from the China Development Zone Audit Announcement (2006 edition) released by the NDRC and other departments . This set of data records the details of state- and provincial-level SEZs that have been officially recognized after a large-scale rectification in 2003, including the names, types, and approval authorities of SEZs. The financial information of the listed companies involved in the control variables is all from the China Stock Market & Accounting Research Database (CSMAR Database).
DOI: 10.6084/m9.figshare.27871677.v1
title: Aggregated fine-mapping results using PolyFun+SuSiE, PolyFun+FINEMAP, SuSiE, FINEMAP and four options of LD reference panels (UKB, HRC, LD, noLD)

description: Aggregated fine-mapping results using PolyFun+SuSiE, PolyFun+FINEMAP, SuSiE, FINEMAP and four options of LD reference panels (UKB, HRC, LD, noLD). Fine-mapping windows were the GWS locus windows.
DOI: 10.6084/m9.figshare.28210292.v2
title: Longitudinal blood gas changes and its effects on health and production performance in dairy cows during the transition periodtem

description: Dairy cows undergo significant metabolic changes during the transition period, which can substantially impact their health and productivity. In this study, we analyzed longitudinal changes in blood gas parameters, plasma physiological indices, and postpartum lactation performance in 46 dairy cows during this critical period.Our results revealed fluctuations in arterial and venous hematocrit, hemoglobin, and oxygen content throughout the transition period, with a notable decline during the late perinatal phase, reaching the lowest levels at 21 days postpartum. In contrast, arterial and venous base excess in extracellular fluid, total carbon dioxide, and bicarbonate concentrations increased, peaking on postpartum day 21. Moreover, among cows with similar milk yields, those with lower blood oxygen levels exhibited higher oxidative stress and inflammation. These findings underscore the crucial role of oxygen metabolism in maintaining health during the perinatal phase. Oxygen insufficiency postpartum appears closely linked to metabolic and physiological disturbances, influencing health traits such as inflammation and oxidative stress.
DOI: 10.17632/8gswydcy4y
title: Data for: Overall dietary variety and adherence to the Mediterranean diet show additive protective effects against Coronary Heart Disease

description: Raw clinical data and food frequency questionnaire data
DOI: 10.17632/r6864bwxb5
title: Cross-tolerance of Nitrosomonas eutropha CZ-4 to high-temperature and high salinity

description: Nitrosomonas eutropha CZ-4 was used to investigate the cross-tolerance effect of high-temperature and high salinity, and the contribution of EPS was also tested.
DOI: 10.17632/22xt2zj86t
title: Exploratory and confirmatory factor analyses of the Ukrainian version of CTSR Scale

description: The file contains raw data (n=619) for exploratory (n=200) and confirmatory factor (n=419) analyses, internal consistency (n=419), construct validity (n=419) and test-retest reliability (n=50).
DOI: 10.17632/xzyjm4wvjs
title: Supplementary Figure 1

description: Overall survival of melanoma patients by age: patients with adolescent melanoma (age 11-19.9 years) (n=230) and patients with childhood melanoma (age &lt;11 years) (n=87)
DOI: 10.17632/3c76gzg2z2
title: High-energy blunt pelvic ring injuries and pre-hospital pelvic binder applications: dataset of patients and injury characteristics from a severely injured patients’ registry.

description: Table 1 – Patients’ demographic and injury characteristics.
Table 2 – Accident’s location and type of prehospital rescue team.
Table 3 – Patients’ Outcomes, Medical resources needed and complications.
DOI: 10.17632/67fr62b8dp
title: pH-rate-profiles

description: This dataset contains UV-Vis absorbance measurements for HMG-CoA reductase (Pseudomonas Mevalonii) in various ionic buffer environments across the pH range 4-11.
DOI: 10.6084/m9.figshare.14325248.v1
title: Analysis of the Influence of Residual Stress on Fatigue Life of Welded Joints

description: Abstract This work presents a new computational approach to estimate the fatigue life in welded joints, taking into account three-dimensional, non-proportional, and out-of-phase stresses; the thermomechanical properties of steel; parameters of the welding process; and the effects of residual stresses. We use the mechanical equations of continuous and cumulative fatigue damage found from Multiaxial RainFlow, the Wang and Brown and critical plane methods, and the Findley criteria approach. The numerical finite element method, available with software, is used to simulate the formation of residual stress and quantify its influence by solving equations. Based on the analysis of numerical results, we were able to prevision the crack location and angles of propagation of a high cycle fatigue crack with totally random loads in a metallic structure. We conclude that the result of the computational method is valid and can be used to estimate and life in fatigue in welded joints.
DOI: 10.6084/m9.figshare.22270933.v1
title: Clinical data of annotated brain metastases

description: Clinical data of annotated brain metastases
DOI: 10.6084/m9.figshare.19467455.v1
title: Muti-omics reveals that the gut microbiome and its metabolite promotes milk fat synthesis in Zhongdian Yak cows

description: The sequencing data and asssembly result of metagenome
DOI: 10.6084/m9.figshare.28742096.v3
title: 3D meshes of territories, Phylloscopus trochilus, Kola Penninsula, Russia

description: The dataset summarise 5 seasons of tracking of Willow warbles of Kola Penninsula. Every point has 3D coordinates (metric system, optimized for R), year and personal name of the bird. All birds had personal combination of coloured rings on the legs.
DOI: 10.17632/jxzny8yh3s
title: digital tax enforcement and corporate debt default

description: This study selects data from A-share listed companies in Shanghai and Shenzhen Stock Exchange from 2007 to 2021 as the initial sample. The data of the CTAIS-3 were manually obtained from the official website of the State Taxation Administration. The financial data are from the China Securities Market and Accounting Research database. The following screening process was followed to avoid the interference of abnormal samples: (1) samples from the financial industry were excluded; (2) samples from Special Treatment were removed; (3) samples with missing variables were deleted. This study obtained 20,053 firm-year observations. All continuous variables were winsorized at the 1% level to eliminate the influence of outliers.
DOI: 10.17632/sz4nc6shf4
title: Data for: Offshoring under Uncertainty

description: The STATA dataset as well as the corresponding do-file allow for a replication of all results in the main empirical analysis of Kohler/Kukharskyy (2019) "Offshoring under Uncertainty".