cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28870493.v1
title: Reutilization of Agricultural Waste Lignin: Synergistic Modification of Dispersive Saline Soil in Western Jilin with Xanthan Gum

description: The collapse of dispersive saline soil slopes in western Jilin Province after exposure to water poses a serious threat to the construction of agricultural irrigation canals. This study discusses the use of lignin (8-10%) and xanthan gum (1.5-2.5%) to stabilise dispersive saline soils. The basic physical properties, dispersivity, mechanical properties, water stability, freeze-thaw cycle durability and curing mechanisms of the treated soils were mainly evaluated and summarised in the study. It was found that 10% lignin and 1.5% xanthan gum cemented soil particles to form a composite biopolymer, which improved the mechanical properties of the soil by 204.4% through increasing soil cohesion and changing the particle contact pattern. The two materials reduce the specific surface energy of particles by cementing fine particles, and the adsorption of exchangeable sodium ions by lignin and the water blocking effect of xanthan gum colloids well reduce the dispersion of the soil. Meanwhile, the solidified soil was tested to show a good durability against freeze-thaw cycles. The method provides an eco-friendly solution for the diversified exploitation of agricultural waste lignin and the stabilisation of agricultural dispersive saline soils.
DOI: 10.6084/m9.figshare.20217611.v1
title: The productive performance of intercropping

description: Agricultural diversification is useful for agronomic, environmental, and dietary reasons. Here we confirm, based on a meta-analysis of 226 field trials, that the simultaneous cultivation of two species in the same plot (intercropping) leads to substantial land savings over single crops when the objective is to produce a diversified set of crop products. While intercropping leads on average to a small yield penalty for grains and calories compared with the most productive single crop comprised in the mixture, it can provide similar or even higher protein yields, especially with modest N fertilizer application. In addition, it provides further ecological services. Intercropping thus has the potential to diversify crop production and make cropping systems more sustainable.
DOI: 10.15468/dl.ew4bt6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "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 ((36.2225 24.1647,35.9648 24.4806,35.9648 19.8496,37.7519 19.8496,37.7005 20.2556,37.7935 21.209,37.3891 21.7756,37.3588 22.2459,36.8499 22.7968,36.6611 23.2461,36.1736 23.4033,36.31 23.7463,36.2225 24.1647))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013313-250525065834625/datasets/export for details.
DOI: 10.17632/9x9h7fr4kn
title: Data, software and scripts related to the Process PLS methodology manuscript

description: Process PLS repository including software implentations, data and scripts. 

Repository contains:
- R package pathmodelr (See README.txt for installation guide) (GPLv3)
- Matlab library
- Link to Python implementation (here: https://doi.org/10.5281/zenodo.7074754)
- Simulated data of a crude oil distillation process (with scripts to reproduce the results) (CC-BY)
- R code for the Val de Loire wine tasting analysis (CC-BY)


New in v2: PDF with helpfile to understand the model output

New in v4: Matlab implementation

New in v8: - Val de Loir analysis file includes function to rename the Process PLS output in R and a function to provide the outer-model R2 values of each block in a simple manner.
Also added the renaming function separately to 'software folder'

New in V9: - Python Implementation (link: https://doi.org/10.5281/zenodo.7074754)

Process PLS is a path modelling algorithm for multiblock data. First described in:
van Kollenburg et al. Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data"  https://doi.org/10.1016/j.compchemeng.2021.107466
DOI: 10.17632/jpvdvzytjc
title: Data for: Assessment of satellite-estimated near-surface sulfate and nitrate concentrations and their precursor emissions over China from 2006-2014

description: ground-based PM2.5 components collected from published literature
DOI: 10.17632/p5j9v23bxh
title: Data for: Reconstruction of palaeo-ecological quality status in an impacted estuary using benthic foraminifera: the Santos Estuary (São Paulo State, SE Brazil)

description: Raw dataset
DOI: 10.17632/z6hzf4hc9g
title: Shear Wave Velocity Structure of Eastern Margin of Tien Shan from Joint Inversion of Ambient Noise Dispersion and Receiver Functions

description: This repository includes the 3D shear wave velocity model of the eastern Tien Shan region and the used teleseismic catalog in the study.
DOI: 10.6084/m9.figshare.1201691.v2
title: ADNI 62

description: 62 MR brain images selected from ADNI dataset.
DOI: 10.6084/m9.figshare.25964281.v2
title: Increased mineral-associated organic carbon and persistent molecules in allochthonous blue carbon ecosystems

description: Soil blue carbon sources, pools and molecular compositions
DOI: 10.6084/m9.figshare.28690091.v1
title: Green Economy

description: Green Economy
DOI: 10.17632/3x273v2hpg
title: Patient Use of Online Portal at an Academic Medical Center

description: Supplementary File 1: Demographics and characteristics associated with online patient portal (Epic MyChart) activity at an academic medical center.  Data includes de-identified patient #, legal sex (as recorded in the electronic medical record, EMR), preferred language (as documented in EMR), patient self-identified race (as in EMR), age in years at time of first diagnostic test within the retrospective time period, and whether MyChart account was active during retrospective timeframe of study.  There are a total of 204,605 unique patients (88,978 male, 115,627 female) with mean age at first diagnostic test of 44.3 years (standard deviation of 23.6 years).  The retrospective timeframe covered February 9, 2020 to December 9, 2021.   Patient ages > 89.0 years old are entered as "> 89".
DOI: 10.17632/bkr62x86p8
title: STAR-PROTOCOLS-D-23-00123R1

description: PY79 sporulation.lif is a raw image file (LAS X program (Leica Microsystems, Wetzlar, Germany)). It contains a time-lapse in DIC ( channel 1) and fluorescence (channel 2) channels of B. subtilis PY79 cells in a nutrient-poor medium in the presence of 0.5 μg/ml uM FM4-64 dye. Frames are 5 min apart in the time-lapse series.Cells initially growing vegetatively in a nutrient-rich medium were placed in a nutrient-poor medium to initiate endospore formation. Dye was added, and cells were placed under an agar pad (to immobilize them). Imaging started 1 hour after the nutrient downshift to minimize total light exposure and dye toxicity.Cells that perform engulfment without signs of defects or damage were cropped and rotated. The cropped images were analyzed using the workflow described in the protocol.Three examples of cropped cells are provided (Cell1, 3, and 7). For each cell, the cropped and rotated cell is shown as a .tif stack (e.g., Cell1_timelapse.tif) and as a montage (e.g., Cell1_montage.txt). Membrane contours in individual tif stacks were analyzed using an active contour detection algorithm (Smith…Vavylonis, Cytoskeleton, 2010, 67:693–705. https://doi.org/10.1002/cm.20481). The resulting “snake” files for the mother cell (e.g., cell 1 MC snakes.txt) or the membranes surrounding the forespore (e.g., cell 1 FS snakes.txt) are also included (see the protocol or Smith et al. for details). To locate the individual cells in PY79 sporulation.lif, open PY79_RoiSet.zip. Recording-2024-01-09-14-34-57.mp4 captures screen recordings as authors open, crop cells, pre-process data, and utilize plugins. PY79_sporulation.ijm is a Fiji macro designed for opening and cropping raw data, preparing it for generating snakes in Filament J.
DOI: 10.17632/nk79kbtww4
title: Jiezi: an open-source Python software for simulating quantum transport based on non-equilibrium Green's function formalism

description: We present a Python-based open-source library named Jiezi, which provides the means of simulating the electronic transport properties of nanoscaled devices on the atomistic level. The key feature of Jiezi lies in its core algorithm, i.e., self-consistent orchestration between the non-equilibrium Green's function (NEGF) method and a Poisson's equation solver. Beyond the construction of the tight-binding (TB) Hamiltonian with empirical parameters for conventional materials, the package offers a comprehensive framework for constructing the Wannier-based Hamiltonian matrix, enabling the investigation of novel materials and their heterostructures. To expedite the solution of NEGF systems, a methodology based on renormalization theory is proposed for reducing the dimension of the Hamiltonian matrix. Additionally, we adopt a non-linear Poisson equation solver with no analytical approximation in this software. The software facilitates seamless integration with external tools for geometry and mesh generation and post-processing. In this paper, we present the main capabilities and workflow by demonstrating with a simulation for the carbon nanotube field-effect transistor (CNTFET).
DOI: 10.25452/figshare.plus.21673739.v3
title: Dataset Validation - Concordance Files

description: This dataset contains concordance metrics between high and low-coverage VCF files of the IBS001 genome, belonging to an IBS (Iberian Populations in Spain) individual. This genome was sequenced at 40X coverage in both Illumina and MGI sequencing platforms, and then respectively downsampled to 1x coverage with samtools. Genotype likelihood calculations and calling was performed using bcftools, and imputation of the low-coverage genotypes was performed using GLIMPSE1.See related materials at: https://doi.org/10.25452/figshare.plus.c.6347534
DOI: 10.6084/m9.figshare.28619978.v1
title: Global price of food index forecasts

description: International Monetary Fund Global Price of Food Index forecasts for the period from 07/2011 to 12/2024, obtained during the realization of the National Science Centre, Poland, grant number 2022/45/B/HS4/00510, Bayesian dynamic mixture models: An application to the study of time-varying determinants of commodity prices.
DOI: 10.6084/m9.figshare.28782260.v2
title: Assessing Temporal Causal Effects of Climate on Dengue Incidence in Peninsular Malaysia

description: This study explores how climate factors specifically temperature, humidity, and rainfall, affect dengue cases in Peninsular Malaysia. Using data from 2013 to 2020, we applied time-series methods to understand both delayed (lagged) and immediate effects of climate on dengue outbreaks. A Vector Autoregressive (VAR) model showed that past dengue cases and temperature four months earlier influenced current case numbers. Granger causality analysis confirmed that temperature can predict future dengue trends, while humidity and rainfall did not show strong temporal effects. However, all three climate factors showed strong immediate impacts on dengue incidence. The findings highlight the importance of temperature in both predicting and responding to dengue outbreaks, supporting its inclusion in early warning systems.
DOI: 10.17632/cx5sr2dgrr
title: Batik Nitik Sarimbit 120

description: Batik, deeply interwoven into the cultural tapestry of Indonesia, carries profound cultural and philosophical meanings within each intricately designed motif. This paper introduces the Batik Nitik Sarimbit 120 dataset, originating from the vibrant city of Yogyakarta, Indonesia. This dataset showcases 60 meticulously captured Nitik motifs, generously provided by the esteemed Paguyuban Pecinta Batik Indonesia (PPBI) Sekar Jagad Yogyakarta. Comprising a total of 120 images arranged in 60 pairs, the dataset was painstakingly captured using a Sony Alpha a6400 camera, meticulously adjusted under Godox SK II 400 lighting conditions, and subsequently formatted to jpg for standardization. This rich and comprehensive dataset serves as an invaluable resource for training and validating machine learning algorithms, particularly within the burgeoning field of generative adversarial networks (GANs). By leveraging this dataset, researchers and practitioners can delve into the intricate world of batik artistry, exploring avenues for computational creativity and innovation. The dataset's diversity and meticulous curation offer ample opportunities for studying the nuances of batik design and advancing the frontier of artificial intelligence in cultural heritage preservation. This scholarly contribution not only enriches our understanding of batik but also paves the way for future advancements in machine learning-driven creative endeavors.
DOI: 10.17632/t3d3x6t7wb
title: Habitat translocation and its effect on species preservation

description: Habitat translocation is a method of saving habitats that are inevitably destroyed during construction projects. To evaluate large-scale turf translocation of wet meadows to the derelict land and to examine the effects of surrounding area on the translocated habitats, we compared three vegetation patches of salved Molinion meadows to three reference meadows near a donor site and to variable plots in a recipient site in terms of vegetation and invertebrates at different motility and food levels. Pollinators (wild bees, butterflies), grasshoppers, ants, and soil mesofauna with a focus on springtails were identified to species. For springtails, the lower soil porosity was a clear disadvantage. Mobile animals with high food specificity responded dynamically to habitat. We observed lower number of springtails, and higher of grasshoppers at the translocated plots than reference ones. Sites maintained their biodiversity, but the influx of cosmopolitan species was noticeable, especially for plants and pollinators, and even springtails. A few sensitive species declined. The habitat translocation to derelict land is bound with lowering the ecological status of the habitat, and if possible, natural habitats should be preserved where they are. However, in case of destruction, the translocation is better than nothing; translocated meadows are a valuable place for local pollinators and for other animals, and in this particular case contribute to the revitalization of the site that was destroyed some time ago.
DOI: 10.6084/m9.figshare.3531917.v1
title: Appendix B. Maximum-likelihood estimates for the time series of Fig. 1.

description: Maximum-likelihood estimates for the time series of Fig. 1.
DOI: 10.17632/3zhjv9hhfc
title: Tables and Supplementary Table for journal article: “Reproductive patterns and maternal and pregnancy outcomes in women with psoriasis - a population-based study” in JAAD

description: Tables and Supplementary Table for journal article: “Reproductive patterns and maternal and pregnancy outcomes in women with psoriasis - a population-based study” published in JAAD by Mats Lambe MD, PhD , Anna V Bergstrom MD, Anna LV Johansson PhD , Caroline E Weibull PhD. SUPPLEMENTARY TABLE I Classification codes for adverse maternal and pregnancy outcomes according to ICD-9/10. Table III Distribution and relative risks of adverse pregnancy and offspring outcomes in 1,464,517 births exposed and unexposed to maternal psoriasis (study population 2). Table IV Distribution and relative risks of congenital malformations in 1,460,074 live births exposed and unexposed to maternal psoriasis (study population 2).
DOI: 10.17632/8d9kn57pdj
title: X-ray Bone Fracture Dataset: Comprehensive Imaging for Fracture Classification and Medical Research

description: Title: X-ray Bone Fracture Dataset: Comprehensive Imaging for Fracture Classification and Medical Research

Description:
This dataset has been meticulously curated to advance research in bone fracture detection and classification, focusing on Simple and Comminuted Fractures. It includes high-quality, clinically relevant X-ray images, alongside an extensive set of augmented images, providing diverse imaging conditions to aid machine learning models in medical imaging applications. The dataset is particularly suitable for tasks like image classification, segmentation, and fracture pattern recognition, making it an invaluable resource for the medical imaging and healthcare research communities.

Dataset Overview:

Fracture Categories:

Simple Fracture:
Exclusively sourced from hospital records.
Original Images: 1,211.
Augmented Images: 6,311.
Total Images: 7,522.

Comminuted Fracture:
Sourced from both hospital records and web-based images (approximately one-tenth from online sources).
Original Images: 1,173.
Augmented Images: 7,366.
Total Images: 8,539.

Key Features:

Number of Original Images: 2,384.
Number of Augmented Images: 13,677.
Total Dataset Size: 16,061 images (Original + Augmented).
File Formats: JPG, PNG.

Augmentation Techniques:
Zoom: Randomized scaling for varied focus.
Rotation: ±30° rotations to simulate diverse imaging angles.
Brightness and Contrast Adjustments: Range between 80%–120%.
Flips: Vertical and horizontal flips for spatial diversity.

Applications:
Medical Imaging:
Train and evaluate machine learning models for fracture classification, detection, and segmentation.
Healthcare Technology:
Support development of diagnostic tools and real-time fracture detection systems in clinical and mobile applications.
Medical Research:
Enhance understanding of fracture patterns, contributing to advancements in diagnostic and therapeutic techniques.

Dataset Collection:
Simple Fracture Images:
Exclusively sourced from hospitals, ensuring high clinical accuracy and relevance.
Comminuted Fracture Images:
A blend of hospital and web sources, providing diverse imaging conditions and perspectives.
Realistic Scenarios:
Simulates real-world clinical settings with varied lighting, orientations, and imaging environments, offering robust data for training and testing.
DOI: 10.17632/z49y5sj4vh
title: Earthquake prediction model

description: Earthquake prediction modeling procedure over water wells monitoring datasets from the Jordan Rift Valley system and the Gilboa-Carmel fault system.
DOI: 10.6084/m9.figshare.14718726.v1
title: Colors

description: Color coding - psychology data
DOI: 10.6084/m9.figshare.20383896.v2
title: Classification of unstructured text in types of violence against women using text mining and Machine learning techniques

description: These are the data used for the development of the investigation. <br> This file was extracted from our mongoDB database. The data set contains real news of violence against women, which were organized with their date, the title and the body of the news.
DOI: 10.6084/m9.figshare.27247989.v1
title: Raw data

description: These files contain the raw data for Fig. 2 and Fig. 4B from the paper "Interaction of SARS-CoV-2 Spike protein with ACE2 induces cortical actin modulation, including dephosphorylation of ERM proteins and reduction of cortical stiffness." These datasets contain Young's modulus values (Pa).
DOI: 10.17632/ztmzp4dc3y
title: Human HGSOC Ovarian Cancer Metabolomics (Primary v. Omental Metastases)

description: Raw mass spectrometry data of matched primary ovarian tumors and omental metastases from human HGSOC samples (n=8 pairs). Metabolomics analysis was carried out by the Rutgers Metabolomics Core for manuscript entitled "G6PD Inhibition Sensitizes Ovarian Cancer Cells to Oxidative Stress in the Metastatic Omental Microenvironment". 

Services, results and/or products in support of the research project were generated by the Rutgers Cancer Institute of New Jersey Metabolomics Shared Resource, supported, in part, with funding from NCI-CCSG P30CA072720-5923.
DOI: 10.6084/m9.figshare.16574033.v1
title: JMTE Transcript

description: Lesson Transcript
DOI: 10.6084/m9.figshare.21211283.v2
title: Data of "Flexible learning of quantum states with generative query neural networks"

description: Training and test data used for numerical experiments in the article of "Flexible learning of quantum states with generative query neural networks".
DOI: 10.6084/m9.figshare.23904861.v1
title: DecisionTree scores

description: The datasets presented in this repository are obtained by applying the decision tree (<i>DecisionTree</i>) algorithm with the following specific hyperparameter setting and the different inputs that have been described in the journal paper: "<b>Data mining techniques for endometriosis detection in a data-scarce medical dataset</b>".Hyperparametersmax_features: sqrtmax_iter: 1000000Files<b>result_eb.csv</b>: Results for EB sample type.<b>result_ef.csv</b>: Results for EF sample type.<b>result_vagina.csv</b>: Results for vagina sample type.<b>result_oral.csv</b>: Results for oral sample type.<b>result_feces.csv</b>: Results for feces sample type.<b>result_frt.csv</b>: Results for FRT (EB + EF + vagina) sample type.<b>result_frt2.csv</b>: Results for FRT2 (EB + vagina) sample type.<b>properties_eb.log</b>: Arguments and result information for EB sample type (n_split, max_features, max_iter, random_state, len_scores_before_filtering, len_scores_after_filtering, len_f1).<b>properties_ef.log</b>: Arguments and result information for EF sample type.<b>properties_vagina.log</b>: Arguments and result information for vagina sample type.<b>properties_oral.log</b>: Arguments and result information for oral sample type.<b>properties_feces.log</b>: Arguments and result information for feces sample type.<b>properties_frt.log</b>: Arguments and result information for FRT sample type.<b>properties_frt2.log</b>: Arguments and result information for FRT2 sample type.<br>
DOI: 10.17632/3xjxwgztdd
title: Mixed Model assembly line balancing problems

description: This dataset presents seven Mixed-Model assembly line balancing problems. Each problem has a specific number of tasks and models.