cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/264xbb33gg
title: Nutritional Status, nutrient intake and dietary practices of Brazilian children and adolescents with Infantile Neuroaxonal Dystrophy (INAD)

description: The objective fo the study was to delineate the nutritional profile, dietary intake, and feeding characteristics among orally
and tube-fed Brazilian patients with INAD. This is a retrospective cross-sectional study conducted between July 2023 and March 2024. Data were collected through a semi- structured electronic form and phone interviews. Food intake was assessed by three 24-hour
food recalls applied via phone and video calls. Reported body weight and height were used to determine BMI (body mass index). Nutritional status was assessed using weight-for-age (WAZ), height-for-age (HAZ), and BMI-for-age Z-scores (BMIAZ) from WHO child growth standards. The study enrolled 21 participants. Twelve of them (57%) had a gastrostomy for feeding. Considering the 9 participants exclusively orally fed, 66.7% needed modification in food texture, and 88.9% presented at least one sign of dysphagia, most commonly choking and coughing when eating. There was a trend toward a lower median weight-for-age Z-score in oral-fed participants compared to those fed by gastrostomy (-2.10 versus -0.34 respectively, p=0.072). Micronutrient intake, including vitamins A, D, E, folic acid, and B12, was lower in the oral-fed group.
DOI: 10.17632/d6929dgh3c
title: Proteomics of ATP1B1 Interacting Proteins in A549 Cells

description: The A549 cell line is one of the most common models for alveolar epithelium in vitro. In our study, A549 cells were used to explore the molecular mechanism of ATP1B1 in alveolar epithelial cells. We applied an AP/co-IP-MS-based proteomic analysis to analyze the interacting proteins of ATP1B1 in A549 cells and also analyzed the interaction and enrichment of these proteins. Total proteins were extracted from A549 cells, and the proteomics was carried out using an antibody against the ATP1B1 or IgG. We identified 2876 peptides and 593 proteins, and 523 proteins were retained after filtering. Protein enrichment classification information for comparison ATP1B1-IgG was displayed in a Venn diagram. Three parts of the Venn diagram corresponded to test enriched (T), control enriched (C), and none enriched (T&C). This dataset included the significant proteins in the three parts and their results of GO & KEGG enrichment analysis and protein-protein interaction (PPI) analysis, respectively.
DOI: 10.17632/myk3drhyg3
title: Experiment data files

description: Organosulfates measured by Ultra-High-Resolution Mass Spectrometry-2019JD032253R DATA
DOI: 10.17632/y2gc2fwj5b
title: GatorByte - Microcontroller Firmware

description: Title: 
GatorByte – An Internet of Things-based Low-Cost, Compact, And Real-time Water Resource Monitoring Buoy

Abstract:
Water-quality monitoring systems available today are usually expensive and have low-temporal resolution and lack spatial dimension entirely. These systems are typically available as stations or handheld devices. Pinpointing sources of pollution using these systems is difficult. This project involves developing a high-resolution free-flowing monitoring buoy that records spatiotemporal water-quality data. The system is highly customizable, and even users with limited experience in programming or electronics can tailor GatorByte for their needs. The platform includes a datalogger, cloud-based server, and visualization tools. The datalogger uses low-cost sensors, electronic peripherals, a 3D-printed enclosure, and Printed Circuit Boards, bringing the cost per unit under $1000. The datalogger uses an NB-IoT-capable Arduino for real-time reporting and visualizing sensor data. The GatorByte records physiochemical water metrics – pH, temperature, dissolved oxygen, electroconductivity, and the current location of the buoy using a GPS module. The datalogger also includes micro-SD storage, and Bluetooth module for on-field diagnostics. Using GatorByte buoy, collection of variations in water quality data in temporal as well as spatial dimension can be achieved in a cost-effective and reliable manner, enabling quick detection and resolution of pollution events.

Description:
This repository contains the embedded software for the microcontroller on the GatorByte buoy. The GatorByte library containing sub-libraries for supported peripherals and sensors is also included.
DOI: 10.17632/7pyhbzb2n9
title: Lumpy Skin disease dataset

description: Assessing machine learning techniques in forecasting Lumpy Skin Disease occurrence based on meteorological and geospatial features - dataset
DOI: 10.17632/ntv67hkp4p
title: Data for: KIDS MOTOR PERFORMANCES DATASETS

description: This dataset is about 7 years old school kids motor performance. Kid's demography were taken, anthropocentric and motor related components was measured. Demography that were taken for this research is age, gender, state, residential segmentation, and BMI class. These demography were taken by questionnaire in the form of Google Form. The anthropocentric measurements involved in this study were weight, height, and Body Mass Index ( BMI). The weight is measured using a scale of weighing. The height is measured using a stadiometer. BMI was measured by weight in kilograms divided by height in square metres. The motor component involved in this research is power, flexibility, coordination and speed. Power was measured with the Standing Broad Jump (SBJ) test. Flexibility was measured with the Sit and Reach (SAR) test. The coordination was measured by Hand Wall Toss (HWT). The speed was measured by the Twenty Meter Speed Test (20MR)
DOI: 10.6084/m9.figshare.1160536.v1
title: Activity level estimation data

description: Camera-trapping data from Barro Colorado Island, Panama, used in Rowcliffe, J.M., Kays, R., Kranstauber, B., Carbone, C. & Jansen, P.A. Quantifying levels of animal activity using camera-trap data, Methods in Ecology and Evolution, accepted August 2014.
DOI: 10.17632/95xcrv9kxj
title: Granzyme

description: These data correspond to the files of our study
DOI: 10.17632/pgcp2r75zf
title: Elsagate Corpus

description: Identifying disturbing online content being targeted at children is an important content moderation problem. However, previous approaches to this problem have focused on features of the content itself, and neglected potentially helpful insights from the reactions expressed by its online audience. To help remedy this, we present the Elsagate Corpus, a collection of over 22 million comments on more than 18,000 videos that have been associated with disturbing content.
DOI: 10.6084/m9.figshare.12235412.v2
title: Anxiety Tasks

description: These tasks were formulated to help patients with anxiety, for my final year project
DOI: 10.17632/f6v7twp4g5
title: A study of SENP2 Suppresses Necdin Expression to Promote Brown Adipocyte Differentiation. Liang et al

description: SENP2 catalyzes de-SUMOylation of CREB to suppress Necdin expression leading to BMP7-induced brown pre-adipocyte differentiation, which is essential for BAT adipogenesis.
DOI: 10.17632/gmkngwww2p
title: Diabetic Peripheral Neuropathy

description: Background: Diabetes often results in diabetic peripheral neuropathy (DPN), which impairs quality of life, causes pain, and limits movement. While they focus on managing symptoms, conventional therapies can offer not much reduction. Neurodynamic methods, which focus on the movement and function of nerves. This study aimed to evaluate the effectiveness of a neurodynamic approach in improving pain, mobility, and nerve function in the lower limbs of individuals with diabetic peripheral neuropathy (DPN).
Methods: This study will be a Randomize Clinical Trial (RCT) of diabetes patients with peripheral neuropathy. Total 84 participants were randomly allocated to neurodynamic technique and conventional therapy group equally as per inclusion and exclusion criteria. These subjects will be distributed on random basis to any one of two group (n=42). Outcome measures were neuropathy severity, pain and Neuro-quality of life. Neurodynamic mobilization and foot exercises was given to group A(experimental group) ,Sham neurodynamic mobilization and foot exercises was given to group B(control group) , TENS and foot exercises will be given to both group at four weeks and three session(30min). All three groups will also receive education regarding glycemic control and foot care. A group of participants with DPN underwent a structured neurodynamic therapy program for four weeks. Key outcomes, including pain levels, nerve function, and mobility, were measured before and after the intervention using validated assessment tools.
Perspectives: This study suggest that neurodynamic technique, foot mobilization exercise and transcutaneous electrotherapy will effective in reducing the pain associated with peripheral neuropathy.
DOI: 10.17632/th422bg4yd
title: Wheat nitrogen deficiency and leaf rust image dataset

description: Crop suffers from various biotic and abiotic stress which adversely affects yield. These stresses often produce visible symptoms particularly in leaves of cereal crops like wheat that can be captured in the form of images. An image-based diagnosis approach to such stress is necessary for precision agriculture. This dataset was collected by an RGB camera (Sony IMX363) from the wheat crop experiment conducted during the rabi season 2019-20 at the IARI field. It comprises two sub-datasets, of which one is nitrogen deficiency affected leaf dataset (abiotic stress) while the other is Leaf rust affected wheat leaf dataset (biotic stress). These leaf images were acquired at the booting stage of wheat crop. The corresponding healthy images of the wheat leaf under control conditions are also included in each of these sub-datasets. After the acquisition, the images were segmented from the background using otsu-based masking. This dataset entails a total of 300 images for control and nitrogen-deficient categories. The leaf rust dataset has a total of 368 and 491 diseased and control leaf images respectively. The folders are arranged in train, test, and validation sets with a split in the ratio of 70:15:15. This dataset is included to enable nitrogen deficiency and leaf rust detection using deep learning-based approach.
DOI: 10.17632/vskrhdnbvy
title: Coulomb functions in entire (ɳ, ϱ) - plane

description: Title of program: COULOM FOR REAL ENERGY Catalogue Id: ABOQ_v1_0 Nature of problem The subroutine COULOM calculates the regular and irregular Coulomb functions Fl(eta,rho) and Gl(eta,rho) and their derivatives for real positive energy in the whole (eta,rho)-plane (eta can take all values between and equal to -500 and 500, rho is greater than or equal to 0) with a uniformly high accuracy. This program will be useful, e.g., for the nuclear scattering and reaction calculations involving heavy projectiles, when rho is no longer very large compared with eta. It thus supplements exi ... Versions of this program held in the CPC repository in Mendeley Data ABOQ_v1_0; COULOM FOR REAL ENERGY; 10.1016/0010-4655(72)90057-4 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/w3gyzc4x5s
title: LCI of the SHIFT6m and updated LCIA methods

description: This dataset contains the Supplementary Material and Data of the paper "Best Practice for Right to Repair and Supply Chain Regulations: High-reparability Modular Smartphone Usage Model Mitigates Environmental Hotspots" by Anna Schomberg et al. (2025). Also included are the LCI data and updated LCIA methods of the SHIFT6m smartphone that has been analysed in the cited paper. The LCI and LCIA can be used with ecoinvent 3.8. The regionalised mining inventory data set that I also use within this study is not included here, as it has been published elsewhere (reference in the paper). If you have any questions or anything does not work, do not hesitate to contact me via anna.schomberg@uni-kassel.de or anna.schomberg@posteo.de.
DOI: 10.6084/m9.figshare.21184885.v1
title: Chicory genome

description: Chicory genome annotation
DOI: 10.17632/2nfvz8g27c
title: AppraiSet

description: This page introduces a new art dataset focused on the financial valuation of individual artworks. The dataset's creation was motivated by the continuous interest in art datasets and the current challenge of accessing open financial art datasets. There are two apparent gaps the dataset aims to fill. The first is that most art datasets primarily explore the problem space of classifying artworks and their visual appearance. The second is that while financial art datasets exist, they are heavily gated behind paywalls and limited data access permissions. Our dataset classifies 10k artworks on up to 22 individual variables.
DOI: 10.17632/3gk2s942c2
title: Impacts of traffic volume on urban heat intensity and spatial extent: A case study of Beijing metropolitan area

description: Data of the manuscript associated with the publication "Traffic restrictions during the 2008 Olympic Games in Beijing reduced urban heat intensity and extent" in Communications Earth & Environment
DOI: 10.17632/h5m83ytzfb
title: Transformative Learning Experiences: An Empirical Analysis of Hybrid Learning Effectiveness in Management Education in Sri Lanka

description: This dataset comprises survey responses collected from undergraduate students enrolled in commerce and management degree programs across various universities in Sri Lanka. The study aimed to measure Entrepreneurial Health Literacy (EHL) among students and its association with factors such as hybrid learner attitude, hybrid learner interaction, benefits of health literacy, and obstacles to health literacy. The dataset includes demographic information of participants such as gender, age, academic year, type of university (state/private), and employment status. Responses were collected using a structured questionnaire administered through Google Forms, focusing on perceptions, attitudes, and experiences related to EHL and hybrid learning. Descriptive statistics, regression analysis, and discussion of findings are included in the accompanying research article. This dataset provides valuable insights into the understanding of EHL among undergraduate students in the Sri Lankan higher education context.
DOI: 10.17632/ztw5pz6wkb
title: Data for: A newly developed method to extract the optimal hyperspectral feature for monitoring the leaf biomass in wheat
DOI: 10.17632/8mxnnmh339
title: Data for: DIRECT PRECISE DETERMINATION OF PD, PT AND RH IN SPENT AUTOMOBILE CATALYSTS SOLUTION BY HIGH-RESOLUTION CONTINUUM SOURCE GRAPHITE FURNACE ATOMIC ABSORPTION SPECTROMETRY

description: This work investigates the analytical possibilities of high-resolution continuum source graphite furnace atomic absorption spectrometry (HR CS GFAAS) for the direct determination of Pd, Pt and Rh (PGMs) in spent automobile catalysts. A novel approach for the microwave dissolution with the mixture of HCl and H2O2 (4:1) was developed for the further HR CS GFAAS. It was found that within 20 minutes at the temperature 210°C of the PGMs quantitatively and simultaneously transferred to solution. It did not show any matrix interferences in determining Pd and Rh, when using HR CS GFAAS for determining the PGMs. When determining Pt, the matrix effect can be expressly minimized by diluting the sample or applying a corrective model. Limits of quantification (μg L-1) by HR CS GFAAS achieved were 1 (Pd), 2 (Pt), and 0.5 (Rh). Correlation coefficients were 0.9973 (Pd), 0.9995 (Pt), and 0.9983 (Rh). The relative standards deviation for PGM determination by the developed procedure was not higher than 5 % in the concentration range 0.0005-0.5 % weight. Moreover, validation of the process of evaluation of metrological characteristics for the sample preparation method developed in this research, demonstrated that it is resistant to changes in the samples of spent automobile catalysts. The correctness of experimental results was assured by the optical emission with inductively coupled plasma method comparisons.
DOI: 10.17632/8ydzxmb78h
title: Data for bremsstrahlung double-differential cross sections of Ti, Cu, Ag and Au atoms by 10-25 keV electron impact

description: Absolute measurements of the bremsstrahlung double-differential cross sections (DDCSs) for photons radiated at 90 degrees generated by the collisions of 10-25 keV electrons and down to approximately 3 keV photon energy with four thin-film targets Ti, Cu, Ag and Au have been performed by Ling Li et al. and published in Physical Review A 107 (2023) L020802.
Our experimental scaled DDCSs, which were used to plot figures in Physical Review A 107 (2023) L020802, are given in the following tables:
1. Elements: Ti, Cu, Ag and Au
2. Incident electron energies: 10, 15, 20, 25 keV
3. The first column: κ, the ratio of the energy of the bremsstrahlung photon to the energy of the incident electron
4. The second column: Sigma-expt, experimental scaled bremsstrahlung double-differential cross sections, unit: mb/sr
5. The third column: Uncertainty of Sigma-expt, unit: mb/sr
DOI: 10.17632/tchh2k8gkm
title: Mercury burden in round goby and yellow perch in relation to riparian wetlands of the Upper St. Lawrence River

description: To examine if riparian wetlands are a source of mercury to fish, 174 yellow perch (Perca flavescens) and 145 round goby (Neogobius melanostomus) were collected in 2019 from eight wetland and seven non-wetland habitats throughout the Upper St. Lawrence River to examine mercury concentration differences between habitat types. Mercury levels were significantly (p < 0.01) higher in fish collected at wetlands than those collected from non-wetland habitats for both yellow perch and round goby. Perch had mercury concentrations of 74.5 ± 35.4 ng/g dry wt in wetlands compared to 59.9 ± 23.0 ng/g dry wt in non-wetlands. Goby had mercury concentrations of 55.4 ± 13.8 ng/g dry wt in wetlands and non-wetland concentrations of 41.0 ± 14.0 ng/g dry wt.
DOI: 10.17632/xchtmc2pp8
title: Dataset for "How particle shape affects granular segregation in industrial and geophysical flows"

description: Granular materials like cereal, pharmaceuticals, sand and concrete commonly organize such that grains segregate according to size rather than uniformly mixing. For example, in a jar of nuts, the largest ones are commonly found at the top. Here, we use computer simulations to explore how grain shape controls this phenomenon in industrial and natural settings. We find that even small differences in shape can substantially change the amount and style of segregation, with different effects depending on whether the system is wet or dry. This study demonstrates the importance of grain shape in different systems ranging from food and medicine production to geophysical hazards and processes such as landslides, river erosion, and debris flows on Earth and other celestial bodies.
This dataset contains examples in how to perform the simulations and the results shown in the manuscript How particle shape affects granular segregation in industrial and geophysical flows.
DOI: 10.6084/m9.figshare.28449962.v3
title: goods.xlsx

description: 货物需求
DOI: 10.15468/dl.hwmcqg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes Günther, 1878",
 "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 ((11.2741 -15.6621,11.2727 -16.1504,17.9648 -16.1504,17.9648 -7.1504,12.3365 -7.1504,12.3429 -7.1607,12.8524 -8.4392,12.5237 -8.8791,12.5024 -9.17,13.3428 -11.0863,13.2132 -11.9643,12.6132 -12.4537,12.0505 -13.2857,11.7929 -14.5817,11.546 -15.3352,11.2741 -15.6621))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012974-250525065834625/datasets/export for details.
DOI: 10.17632/7tv4pvpnks
title: Results of petrophysical analyses from the volcano-sedimentary rocks of the Paraná-Etendeka Large Igneous Province

description: This is the supplementary file for the "Evaluating petrophysical properties of Volcano-sedimentary sequences: A case study in the Paraná-Etendeka Large Igneous Province" manuscript by Rossetti et al. This file presents the results of petrophysical analyses of a set of samples from the volcano-sedimentary sequences of the Paraná-Etendeka Large Igneous Province.
DOI: 10.17632/sv5m953vjj
title: Dataset: "Deep learning with digital holographic microscopy discriminates apoptosis and necroptosis"

description: In this repository you will find all data, models and MATLAB code used with this publication; DOI: (pending). This is used for cell death detection on DHM (Digital holographic microscopy) data using deep learning in MATLAB.
This processing pipeline consists of a few different parts.
1) SAD.m
Supervised Anomaly Detection in order to remove all Alive cells from cell death experiments and vice versa. This since cell death induction (like any other biological process) is happening not at the same time; the cell population is heterogeneous. SAD filters and homogenizes the dataset, the SAD filter is stored in Models/SAD_filter.mat
2) CropFromCaptureAndFilter.m
This script takes the captures (whole field of view, from folder Captures) of the DHM camera snaps and crops out the cells from each capture. The single cells are stored in CroppedImages
3) These CroppedImages are split in HoldoutSet and TrainingSet
4) MakeModelViaTransferLearning.m
Uses Transfer learning to reuse the VGG-19 network and repurpose this to predict cell death on these data. This script relearns the model on the trainingset from the folder TrainingSet and saves the model under Models/convnet.mat
5) UseModelOnHoldoutSet.m
Opens ConvNet model (created by MakeModelViaTransferLearning.m) and the HoldoutSet (independent experiments) and runs the model on these images. Later on the overall accuracy is measured (total correct predictions/total samples *100%)  and a confusion matrix is made. Finally an ROC plot is made.