cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xy6yhg8n5n
title: Effectiveness of Myofascial Release on Diaphragm thickness and excursion in smokers and non-smokers

description: MFR has shown to be effective in improving the pulmonary functions, lung compliance in asymptomatic individuals and patient with obstructive lung disease such as COPD. As the diaphragm is an inspiratory muscle with morphological characteristic such as thickness and its ability to excurse during breathing. There is no literature available in context to monitor the change in thickness and excursion of diaphragm after manual release technique under quite breathing and deep breathing circumstances. It has been noted that patients with poor respiratory functions have impaired diaphragm excursion and thickness. Therefore, there was a need to explore the impact of manual therapeutic intervention on diaphragm thickness and excursion in smokers’ population and its comparison with non-smokers population. The aim of the study was to explore the effectiveness of myofascial release on diaphragm thickness and excursion in smokers and non-smokers population.
DOI: 10.6084/m9.figshare.20033246.v1
title: GWAS summary statistics

description: We are releasing the summary data from our genome-wide analyses of obstructive sleep apnea, in order to enable researchers to replicate our results and to conduct follow-up research. The files include p-values and direction of effect at the single nucleotide polymorphisms (SNPs) analyzed. Please refer to our data release site (http://analysis.bio-x.cn/gwas/) at the current stage.
DOI: 10.6084/m9.figshare.29019608.v2
title: Enhanced hydrogen peroxide photosynthesis via charge-complementary π-electron sites

description: Source data for "Enhanced hydrogen peroxide photosynthesis via charge-complementary π-electron sites".
DOI: 10.17632/c9t7fx9n4h
title: Forhot dataset 2014-2019

description: The data collected at the Forhot research site in Iceland during the years 2014-2019. Additionally, meteorological data provided by the Icelandic Meteorological Office is provided (Icelandic Meteorological Office 2023: Icelandic Meteorological Office Database, delivery no. 2023-11-06/AM30). Five features are present in this data: the soil warming of each plot, the measured NDVI at each plot, the irradiance, precipitation, and the air temperature. Additionally, a Python script for loading and preprocessing the data is provided.

Terms of use for the Icelandic Meteorological Office data:
The given data is in accordance with the Icelandic Met Office's database November 6th 2023. The Icelandic Met Office reserves the right to review the data at any time.
DOI: 10.6084/m9.figshare.24123666.v1
title: 河流漂浮碎片数据集.zip

description: The data used in this paper are all from the photog raphy of the river in Ningbo, Zhejiang, China, by the DJI mini2 UAV. During the shooting process, the camera shooting angle is perpendicular to the river surface, the flying height is 7- 15 meters, and the camera resolution is 4000×3000. A total of 840 images of river floating debris were collected in this study, including five common types of floaters: plastic bottles, plastic bags, plastic cups, cans, and cartons.
DOI: 10.6084/m9.figshare.29019608.v1
title: Enhanced hydrogen peroxide photosynthesis via charge-complementary π-electron sites with oxygen molecules

description: Source data for "Enhanced hydrogen peroxide photosynthesis via charge-complementary π-electron sites with oxygen molecules".
DOI: 10.6084/m9.figshare.22314994.v1
title: SBeA upload data

description: Dataset for SBeA.
DOI: 10.6084/m9.figshare.24565144.v1
title: Lower-Tarim-River-FVC

description: 1) the 8356-image data used in the paper and the Python code to process the data; 2) the image segmentation model code.
DOI: 10.6084/m9.figshare.28188323.v1
title: <b>Afforestation modulates soil microbial </b><b>c</b><b>ommunity</b><b> and carbon fraction along 21-m deep profiles</b>

description: Restoration of organic carbon pools and biological soil functions under afforestation focuses on the topsoil horizons despite terrestrial subsurface soil being predicted to host comparable levels of microbial diversity. As an object of the study, we have taken the typical watershed at the Loess Plateau to ensure the similarity of soil formation factors except for land use and consider the area's significant contribution to climate change regulation of the region. We have explored the changes in the soil carbon pools, including particulate (POC), mineral associated (MAOC), microbial necromass carbon, microbial diversity, and abundance of carbon cycling genes along 21-m deep profiles 30-y since afforestation with shrub (Caragana microphylla) or tree species (Robinia pseudoacacia)
DOI: 10.6084/m9.figshare.28194839.v1
title: Simulated Dataset4

description: Simuation toolPlatformDataset nameNo. of spotsNo. of genesNo. of SVGsNo. of non-SVGsNo. of clustersSRTsim10X VisiumDLPFC_logFC=0.5361120001001007DLPFC_logFC=1.0361120001001007DLPFC_logFC=1.5361120001001007DLPFC_logFC=2.0361120001001007DLPFC_logFC=2.5361120001001007DLPFC_logFC=3.0361120001001007
DOI: 10.6084/m9.figshare.28711880.v3
title: T2T genomes of peanut

description: T2T genome assembly of six peanut species.
DOI: 10.17632/72ct97bxtb
title: The crystal structure of η′-Cu6Sn5/η-Cu6Sn5/Cu3Sn and the coordination structure of Sn atoms in Cu/Sn solder system

description: CMDX files show the crystal structure of Cu6Sn5, Cu3Sn and the coordination structure of Sn atoms in Cu/Sn solder system, and the CIF files came from COD database.
DOI: 10.6084/m9.figshare.27232593.v1
title: <b>Confronting Forest-Dweller Local Ecological Knowledge and eDNA Measurements of Biodiversity</b>

description: 1- In the face of global changes and the biodiversity crisis, Local Ecological Knowledge of Indigenous communities is increasingly valued for aligning conservation policies with the needs of local communities and enriching conservation strategies through the synergy of diverse knowledge systems.2-To assess whether conservation policies relying on biodiversity metrics integrate the interconnectedness between nature and Indigenous communities, we evaluated the congruence between standardised biodiversity measurements obtained through environmental eDNA (eDNA) and Indigenous Local Ecological Knowledge (LEK).3- We selected 19 sampling sites along the upper Oyapock River in French Guiana. We collected eDNA from the water to inventory fish and game species, and we conducted biodiversity perception surveys with anglers and hunters from the Wayãpi Indigenous group to collect LEK associated with each site.4- Across the studied area, Wayãpi LEK presented different pictures of biodiversity compared to standardised biodiversity assessments. This comparative analysis demonstrates that Wayãpi LEK not only reflects species distribution but also encompasses diverse place-based obligations and relationships.5- This underscores the need to integrate LEK into conservation policies to promote equitable and sustainable environmental decision-making. This can be achieved by encouraging participatory processes that incorporate diverse knowledge systems, enabling the identification of local conservation challenges and the determination of the most suitable compromises.
DOI: 10.6084/m9.figshare.28537280.v1
title: Data and code for "Navigating the risks and rewards of scavenging in multi-predator, human-impacted landscapes"

description: This repository contains data and code accompanying the paper: CX Cunningham, R Windell, LC Satterfield, AJ Wirsing, TM Newsome, TR Ganz, LR Prugh (2025) Navigating the risks and rewards of scavenging in multi-predator, human-impacted landscapes. <i>Ecology</i>The folder contains two analysis scripts:R script for main analysis ("WPPP scavenging analysis.R")R script containing custom functions used throughout the analysis ("Functions for WPPP scavenging analysis.And four data files that are read my the main R script:Carcass persistence times ("carcassPersistenceData.csv"),Daily index of scavenging activity ("dailyScavengingIndex.csv"),Independent observations of species based on a 30-min period of independence ("independent_obs.csv"), andVigilance of mesopredators ("meso_vigilance.csv")
DOI: 10.6084/m9.figshare.9848513.v1
title: CF Multi-centre metadata.xlsx

description: Supporting metadata from a cystic fibrosis multi-centre study. The study was a cross-sectional / observational study of the bacterial lung microbiota across 299 CF patients. <br>Data included here: Sample ID; location; age at time of sampling; sex; CFTR genotypes; clinical status; comorbidities; lung function measure; recent antibiotics (within two weeks of sampling)
DOI: 10.6084/m9.figshare.25188669.v1
title: R scripts from Morphological ant mimics: constrained to imperfection?

description: Zip file containing a folder with the R source code used in this study
DOI: 10.6084/m9.figshare.25396477.v1
title: GFF file of Gb_M210936

description: GFF file of Gb_M210936
DOI: 10.17632/2py8x48cdb
title: The list of species of large soil invertebrates in the areas of impact of aero-technogenic emissions from pulp and paper industry

description: The list of taxa collected in the areas of impact of aero-technogenic emissions from pulp and paper industry is presented in Table 1. The industrial complex is located in Syktyvkar (Komi Republic). The table contains a list of species of large soil invertebrates (Lumbricidae, Lithobiidae, Polyzoniidae, Julidae, Ectobiidae, Lygaeidae, Сarabidae, Staphylinidae, Byrrhidae, Ostomatidae, Elateridae, Curculionidae), which summarizes the results of its own data for the period from 2003 to 2019. Data are given for three zones of impact of aero-technogenic emissions (impact, buffer, background), in each of which biotopes in pine (I), spruce (II) and deciduous (III) forests were investigated.
DOI: 10.17632/8tk2sc4ytg
title: Data for: Generation of leaf area (LA) values from leaf length (L) and width (W) of Dendrobium nobile orchid using ImageJ

description: The experiment was conducted at ICAR-National Research Centre for Orchids (ICAR-NRCO), Pakyong, Sikkim, India where the best leaf area  prediction model  selection was done through the statistical performance metrices  viz.,coefficient of determination (R2), mean absolute errors (MAE) and root mean square errors (RMSE) . 1,589 images of approximately 1.5 -2 years old individual leaves of Dendrobium nobile (Orchidaceae) was captured by a smartphone (Samsung Galaxy J7 with 13 MP camera, 4128 x 3096 pixels, autofocus, LED flash) with a reference scale.  ImageJ (https://imagej.nih.gov/ij/) is an open access, image processing software developed by National Institute of Health (NIH), and  was used for determining the individual leaf length (L), width (W) and the leaf area (LA).  The process of estimating L,W and LA are described as under:
1) Selection of the  leaf image is done.
2) Calibration of the software scale with reference scale in cm is done.
3) The length of the leaf is measured from the tip to the base of the leaf just before the starting of the leaf sheath.
4) The width of the leaf is measured from the broadest region of the leaf.
5) The captured area of the Dendrobium nobile leaves  was separated from its background using the color threshold function of the software.
6) The region of interest which is measured leaf area was thus automatically calculated.
7) The generated estimation of leaf length, width and leaf area is thus stored in spreadsheet .
DOI: 10.48420/29063534.v1
title: Scoping review protocol: Variations in placental structure and function in women with MS

description: Scoping review protocol to explore what is known about the placental structure or histopathological abnormalities in people; and any clinical evidence of variation in placental functions in people with multiple sclerosis (MS). This review is part of a larger body of work aiming to use advances in <i>in silico</i> methods to inform patient treatment decisions for people with MS who may wish to consider pregnancy.
DOI: 10.6084/m9.figshare.23423051.v1
title: Data for distribution grid resilience research

description: This repo contains data needed for the code repository: https://github.com/wangzhecheng/vulnerability. <br> This data is for supporting the research on distribution grid resilience to wildfires, led by Stanford Sustainable Systems Lab, with the aim to make electricity infrastructure more affordable, equitable, and resilient to climate-induced extreme events. <br> Abstract: Climate-induced extreme weather conditions make electricity infrastructure more vulnerable. They increase the risk of powerline-ignited wildfires which can, in turn, jeopardize electric power delivery. Leveraging machine learning, here we show that lower-income communities in California not only have lower fractions of power distribution lines undergrounded, but overhead lines and poles in their neighborhoods are also more vulnerable to wildfires. Should they bear the cost of undergrounding fire-prone lines themselves, they would have to pay a disproportionately higher cost per household. Here we propose a cost allocation scheme with an income threshold below which the cost is borne by utility-wide ratepayers and above which the cost is borne locally. This scheme can not only minimize the average of undergrounding costs per household as a share of income, but also homogenize such cost-income ratios across communities. Our research demonstrates the opportunity to appropriately integrate existing policies to make electricity infrastructure affordable, equitable, and reliable amidst climate change.
DOI: 10.6084/m9.figshare.24867555.v1
title: gdm_analysis.html

description: File: gdm_analysis (HTML document, R script)<br>Contents overview: Codes and results to perform a generalized dissimilarity modeling (GDM) using geographic distance, forest fragmentation, edge density, habitat amount, and landscape heterogeneity to evaluate the effects of landscape on bird beta diversity in the Caatinga region, Northeast Brazil. Includes code to access the modeling results and graphical representations. The dataset_gdm_predictors and dataset_gdm_species datasets were used. The result is Figure 03.
DOI: 10.6084/m9.figshare.7676099.v4
title: Figure3

description: BGRD marks tumor-promoting genes.
DOI: 10.17632/mvmychgk4j
title: Dislocations in FCC Al with realistically low density

description: There are two directories in the archive. The Al_edge_1x1024x512 directory contains gzipped files with the atomic coordinates acquired in the process of purely edge dislocation construction in FCC Al. The Al_mixed_1x512x128 contains files with the atomic coordinates acquired in the process of mixed dislocation construction in FCC Al. The files are visualizable using OVITO software.
DOI: 10.17632/yyff8sz32t
title: Utilization of biochar for remediation of heavy metals in aqueous environments: A review and bibliometric analysis - Supplementary material

description: The supplementary material for the article “Utilization of Biochar for Remediation of Heavy Metals in Aqueous Environments: A Review and Bibliometric Analysis” contains a concise R code. The code enables merging data from the Web of Science core collection and Scopus. The supplementary material also presents a detailed distribution of the time duration, in days, from submission to acceptance for both open-access and subscription-based articles. The chosen statistical test supports this analysis, the Mann-Whitney U test, and additional plots to improve the clarity and depth of our analysis.
DOI: 10.6084/m9.figshare.24798825.v2
title: <b>Microplastics reach the brain and interfere with honey bee cognition</b>

description: Behavioural dataset from the paper " Pasquini et al. Microplastics reach the brain and interfere with honey bee cognition were the effects of polystyrene (PS), plexiglass (PMMA) MPs, and a combination of the two, at three evaluated concentrations (0.5, 5 and 50 mg/L-1) on sucrose responsiveness and appetitive olfactory learning and memory.
DOI: 10.6084/m9.figshare.25331848.v1
title: PRISMA_2020_checklist.pdf

description: PRISMA_2020_checklist
DOI: 10.17632/2d6z932mzw
title: Bile acid-dependent transcription factors and chromatin accessibility determine regional heterogeneity of intestinal antimicrobial peptides

description: The newly generated scRNA-seq data and bulk RNA-seq data are provided here:
1. ScRNA-seq data. To investigate the regional heterogeneity of human intestine, 14 bioptic samples from human duodenum, jejunum and ileum were collected from 10 healthy donors recruited at the time of routine gastroscopy or enteroscopy or colonoscopy for single cell RNA sequencing. Healthy volunteers were individuals without gastrointestinal tumors, polyps or other organic diseases, and who were overall healthy with no underlying diseases such as hypertension and diabetes.
2. Bulk RNA-seq data. To investigate the effect of bile acis on the transcriptome of mouse intestinal organoids, mouse small intestinal organoids cultured for 2 days were incubated with a series of bile acids at 50 mmol/L for 96 hours and lysed for RNA extraction.
3. ScRNA-seq experiments in mouse duodenum organoids stimulated with DCA (50 mmol/L for 96 hours) and DMSO were employed to directly depict the changes in the proportion of epithelial lineages.
DOI: 10.17632/74b9tskprh
title: Data for: Experimental and theoretical study of the thermal decomposition of ethyl acetate during fast pyrolysis

description: This experimental investigation in the field of reaction engineering involves the design and proof of concept of a free fall pyrolysis reactor. The study includes the mathematical modelling for obtaining the reaction kinetics of the thermal decomposition of ethyl acetate as a model molecule. Also the effect of mass and heat transfer limitations within the reaction zone is calculated, so that the kinetic data can be obtained without the influence of transfer limitations. Finally, the experimentally obtained kinetic data is compared to theoretical calculations using transition state theory and literature. The results show that the concept of this vertical reactor is suitable for obtaining kinetic data of fast pyrolysis reactions. The main contributions of this investigation is the kinetic approach of thermochemical reactions in a novel fast pyrolysis setup. In further studies, more complex reaction systems can be investigated. T
DOI: 10.17632/j9ttd74yzg
title: MARCO JURÍDICO DE LAS ARMAS Y MUNICIONES EN GUATEMALA

description: The legal framework for arms and ammunition in Guatemala has undergone significant development with the enactment of Decree 15-2009, known as the Law on Arms and Ammunition. Prior to this regulation, access to arms was widely permissive, which facilitated both legal purchases and illicit trafficking. The new law established the General Directorate for the Control of Arms and Ammunition (DIGECAM), responsible for regulating and supervising the possession and carrying of firearms, with the aim of curbing misuse and illegal trafficking. Despite these advances, legal loopholes remain that limit the effectiveness of regulation. The partial exclusion of military arms and the lack of adequate control over private security companies are two of the main issues the current legislation faces. Additionally, illicit trafficking remains a challenge, as the law does not fully cover all activities related to arms brokerage and transit. Although the law implemented arms marking and established controls over international transfers, the lack of clarity in arms classification and limited supervision of state institutions hinder effective control. Guatemala’s international commitments in this area require further strengthening of institutions and more comprehensive legislative reforms to address the proliferation of firearms and reduce armed violence in the country.
DOI: 10.17632/z8r3pvv863
title: Samosa

description: **Data Description: Samosa Classification Dataset**

**Overview:**
The dataset comprises images of samosas categorized into two classes: 'Good' and 'Bad.' A total of over 500 images have been collected, capturing the variability in appearance within each class. These images were taken using a Samsung J7 mobile camera under consistent daylight conditions against a white background, ensuring uniform lighting and minimal background interference.

**Data Composition:**
- **Total Images:** Over 500
 - **Good Samosa:** Approximately 250 images
 - **Bad Samosa:** Approximately 250 images

**Image Details:**
- **Camera Model:** Samsung J7
- **Background:** White
- **Lighting:** Daylight, providing natural and consistent illumination
- **Resolution:** Varies depending on the Samsung J7’s camera settings but typically around 1280x720 pixels

**Labeling:**
Each image is meticulously labeled as either 'Good' or 'Bad' based on predefined criteria. 'Good' samosas meet quality standards in terms of shape, color, and texture, while 'Bad' samosas exhibit imperfections such as poor shape, uneven coloring, or visible defects.

**Class Definitions:**
- **Good Samosa:** Characterized by an appealing appearance, consistent color, and proper shape. The samosas in this class exhibit desirable quality attributes expected in a standard product.
- **Bad Samosa:** Exhibits defects such as irregular shape, inconsistent color, or visible damage. These samosas do not meet the quality standards set for 'Good' samosas.

**Usage Context:**
This dataset is intended for developing and testing machine learning models for image classification. It is designed to help improve automated quality control processes in food production or similar applications where visual inspection is critical. The consistency in background and lighting aims to reduce variability in image quality, focusing the classification task on the inherent characteristics of the samosas.

**Preprocessing:**
Images are captured under controlled conditions to minimize external variables. However, preprocessing such as resizing, normalization, or augmentation may be applied depending on the requirements of specific machine learning models.

**Challenges:**
- Variability in samosa appearance due to factors like size, shape, and filling consistency
- Ensuring accurate labeling and quality control for 'Good' versus 'Bad' classification

**Applications:**
- Development of image recognition systems for quality assessment
- Training of machine learning models for automated defect detection
- Research in computer vision techniques applied to food quality evaluation

This dataset provides a foundational resource for advancing image classification and quality assessment technologies in the food industry.
DOI: 10.6084/m9.figshare.1297886.v1
title: embalming and reperfusion of porcine kidneys

description: These are the data of the following article: Understanding Thiel embalming in pig kidneys to develop a new circulation model First author: Wouter Willaert
DOI: 10.6084/m9.figshare.28370183.v1
title: Output files nitrogenase project

description: These are the output files generated as part of the project "What can be learned from the electrostatic environments within nitrogenase enzymes?"