cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29175374.v1
title: Assistência de enfermagem a crianças e adolescentes vítimas de violência doméstica na Atenção Primária à saúde: revisão inte

description: A violência doméstica contra crianças e adolescentes representa uma grave violação dos direitos humanos e configura-se como um problema de saúde pública, com repercussões físicas, emocionais e sociais. A Atenção Primária à Saúde (APS) ocupa posição estratégica na identificação e no cuidado contínuo dessas vítimas. Este estudo teve como objetivo analisar as evidências científicas disponíveis na literatura acerca da assistência prestada a crianças e adolescentes vítimas de violência doméstica no âmbito da APS. Trata-se de uma revisão integrativa registrada no repositório Figshare, construída com base na estratégia PICo, sendo: P (população) – crianças e adolescentes vítimas de violência doméstica; I (interesse) – cuidados de enfermagem; Co (contexto) – atenção primária à saúde. As buscas foram realizadas nas bases LILACS, PubMed e CINAHL, entre os anos de 2015 e 2024, utilizando uma ampla combinação de descritores controlados e não controlados, extraídos do DeCS, MeSH e CINAHL Headings, adaptados às especificidades de cada base, com operadores booleanos. Os critérios de inclusão abrangeram estudos primários, nos idiomas português, inglês ou espanhol. Ao todo, foram identificados 77 artigos, dos quais 6 compuseram a amostra final após a aplicação dos critérios de elegibilidade. A análise dos estudos revelou três principais eixos temáticos: a fragilidade na articulação entre os serviços da rede de apoio, a ausência de protocolos padronizados e a carência de capacitação específica dos profissionais de saúde. Também foi evidenciada a atuação estratégica da enfermagem, sobretudo por meio da escuta qualificada, identificação precoce dos sinais de violência, notificação obrigatória e encaminhamento adequado das vítimas. A atuação da APS foi compreendida como essencial no enfrentamento dessa problemática, mas limitada por entraves estruturais e formativos. Conclui-se que a superação desses desafios requer o fortalecimento das redes intersetoriais, a implementação de políticas públicas específicas e o investimento contínuo na formação dos profissionais, com vistas à garantia de uma assistência integral, humanizada e resolutiva a crianças e adolescentes em situação de violência doméstica.
DOI: 10.17632/fknzy9twbz
title: Raw and analyzed data of histological alterations and biochemical markers in rat kidney exposed to Cadmium and treated with Atorvastatin 

description: The data set supports studies involving the protective effect of antioxidants against environmental and occupational cadmium contaminant, inducing oxidative kidney damage in rat model.
Details of raw data and Tukey’s multiple comparison tests related to biochemical parameters (BUN, creatinine, GSH, MDA, SOD, and GPx) in the rat groups treated with saline, Atorvastatin (AT) and cadmium.
The insights gained from these data may allow researchers to further explain the role of Atorvastatin antioxidant treatment on the cadmium chloride- induced oxidative stress in rat nephrotoxicity.
These data indicate Atorvastatin improves lipid peroxidation, BUN, and Creatinine serum levels and reduces adverse histological changes in rat kidney tissues induced by cadmium chloride.
DOI: 10.4121/12706085.v4
title: STORM IBTrACS present climate synthetic tropical cyclone tracks

description: Datasets consisting of 10,000 years of synthetic tropical cyclone tracks, generated using the Synthetic Tropical cyclOne geneRation Model (STORM) algorithm (see Bloemendaal et al, Generation of a Global Synthetic Tropical cyclone Hazard Dataset using STORM, in review). The dataset is generated using historical data from IBTrACS and resembles present-climate conditions. The data can be used to calculate tropical cyclone risk in all (coastal) regions prone to tropical cyclones. <br> VERSION UPDATE (30 Sept 2020): The Saffir-Simpson category thresholds were wrongly calculated in the previous version, this has now been corrected. <br> VERSION UPDATE (18 March 2021): The old version of STORM contained some duplicate cyclone tracks. These have now been removed. <br> VERSION UPDATE (22 July 2022): The last version accidentally still had the old wrong categories ... This version has the right categories AND the duplicates removed! :-)
DOI: 10.15131/shef.data.5977402.v1
title: Western Australia Character Books, 1850-57 (London convicts)

description: <br>Western Australian Character Books contain a record of each convict prisoner as they entered the convict establishment at Fremantle. The books were intended to keep a record of the personal details, physical descriptions, and conviction histories of each new arrival, along with information regarding their character prior to and during sentence. <br>The dataset contains records of 358 convicts who were tried in London. The information given includes the name and register number of each convict, the date they arrived in the colony and the prison from which they came, as well as a convict’s age, trade, marital status, and literacy levels. The books also record details of the crime for which a convict was transported, as well as any known previous convictions.
DOI: 10.6084/m9.figshare.28814858.v2
title: Supplementary Material: Spent hemp biomass as a feed ingredient for beef steers: effects on performance, blood parameters, behavior, cannabinoid residues, and consumer exposure levels

description: Prior studies in ruminants demonstrated the safety of feeding spent hemp biomass (SHB) to lambs and dairy cows. However, the potential accumulation of cannabinoids in animal products, particularly the psychoactive compound ∆<sup>9</sup>-tetrahydrocannabinol (Δ<sup>9</sup>-THC), remains a significant barrier to the legalization of SHB as a feed ingredient for livestock. In this study, we investigated the inclusion of SHB in the diet of beef stockers to assess its effect on animal health, performance, and cannabinoid accumulation in meat. For this purpose, 24 Angus steers (BW = 263±22.5 kg and BCS = 4.0±0.5) were enrolled in the study to receive either CON (basal diet + 15% alfalfa meal) or HEMP (basal diet + 15% SHB) diet for eight weeks of intervention period (IP) followed by 4 weeks of a withdrawal period (WP), where both groups consumed the basal diet. The steers fed SHB had higher feed intake than CON animals, indicating no palatability issue with SHB, but their feed efficiency was decreased. Consuming SHB enhanced ruminal acetate production and reduced the propionate proportion. Consuming SHB increased plasma concentration of cholesterol, globulin (and circulating lymphocytes), ceruloplasmin, oxidative and antioxidative biomarkers, alkaline phosphatase, and Na. Consuming SHB did not affect the behavior of the steers but lowered water consumption. We detected a high concentration of cannabidiol (CBD) and CBD-acid (CBDA) in the liver (averaged 462±207 and 2,256±492 ng/g), muscle (271±73 and 35±17 ng/g), and adipose tissues (48.8±5.1µg/g and 80.7±52.1 ng/g) of steers fed SHB and very low Δ<sup>9</sup>-THC in the muscle (1.44±0.86 ng/g). With the exception of CBD in the adipose tissue (detected at 382±245 ng/g), cannabinoids were undetectable in all tissues after 33 days of withdrawal from SHB. We estimated the exposure of consumers to total THC for all population groups below the acute reference dose of 1 µg/kg BW when consuming meat from cattle, according to surveillance of meat intake data from the EU and USA populations. Overall, our data indicated that SHB is safe to be used as a feed ingredient in steers with minimal effects on rumen fermentation and the physiology of the animals. Furthermore, the risk of THC exposure from consuming the meat of these animals is expected to be minimal.
DOI: 10.6084/m9.figshare.28950176.v1
title: TEST.xlsx

description: TEST PPD
DOI: 10.6084/m9.figshare.5931694.v1
title: The academic social network researchgate as a mechanism of visibility and internationalization of the brazilian and portuguese scientific production in the field of Library Science and Information Science

description: ABSTRACT This study analyzes the problem of the communication in the scientific communities from the Librarianship and Information Sciences areas and how online social networks are configured as new spaces for the availability of the scientific documentation and interaction of researchers. The focus of this study is the contribution of the online presence of researchers in the areas under analysis to promote the visibility and internationalization of the academic work developed. A survey of the presence of these researchers in the Social ResearchGate Network (http://www.ResearchGate.net), their motivations and perceptions about the importance of this presence for the visibility and internationalization of the research work carried out. The motivations that led us to choose as research scenarios these scientific communities in the Brazilian and Portuguese context, among various aspects, we highlight the identification with the theme, and the interest in contributing with the scientific community of this area in the context of Brazil and Portugal , from the results of this research which will highlight the indicators and the necessary subsidies for the discussion in this area, focusing on the following axes: internationalization and visibility, digital technologies and higher education and communication of the network science. The analysis of these results can generate an understanding of the role played by these new hybrid spaces between archive and space of interaction, in the dynamics of the communication from the academic and scientific community in the Librarianship and Information Science areas.
DOI: 10.17632/2fs98x4mky
title: Farm infrastructure and stocking rate influence stream nutrient concentrations - dataset

description: Dataset used for correlation analysis and partial least squares regression to understand the influence of farm infrastructure density and stocking rate to stream nutrient concentration. Detailed description of each file is found in the summary_of_datasets.txt file.
DOI: 10.6084/m9.figshare.12811574.v6
title: Gao, Y. and Cui, Y. (2020) Deep transfer learning for reducing health care disparities arising from biomedical data inequality

description: The mRNA expression datasets for the machine learning experiments performed in this study.
DOI: 10.6084/m9.figshare.23607750.v1
title: patient37.rar

description: A Patient with fundus images that taken by Ret-cam.
DOI: 10.6084/m9.figshare.23620479.v6
title: Data Repository

description: Raw data products from Widespread Presense of Endogenized Polintoviruses in Scleretina Coral Genomes
DOI: 10.6084/m9.figshare.25209830.v2
title: Chromosome-scale genome assembly of <i>Camellia </i><i>crapnelliana</i> provides insights into the fatty acid biosynthesis

description: Chromosome-scale genome assembly of <i>Camellia </i><i>crapnelliana</i>
DOI: 10.6084/m9.figshare.5297416.v1
title: Inhibition of fungal pathogens across genotypes and temperatures by amphibian skin bacteria

description: Dataset consists of two sets of data files with associated R code:<br>1a) Raw plate read data titled "final_all_plates_gabe_no_contam.csv". This file consists of all OD readings for every well for every day that readings were taken. We used R code to correct baseline zoospore OD, fit a linear regression to the OD readings over time, remove wells with low r2 values, and calculate inhibition scores<br>1b) R code to work with the "final_all_plates...csv is titled "Calculate_score_inhibit_final.R"<br>2a) The inhibition scores for each well titled "Inhibition_scores.final.csv". This is the output of the R code above. We did edit this file in excel to add a genotype column that is not in the R code<br>2b) The averages of inhibition scores used to make the heatmap figure titled "heatmap_averages_final.csv". See more details in the associated .Rmd file to see how we generated these values. <br>2c) R code to do analyses of inhibition scores and make figures titled "Publish_Bac_Temp_BdBsal.Rmd"<br>2d) The knitted .Rmd file titled "Publish_Bac_Temp_BdBsal.html"
DOI: 10.17632/v3cx4jbv5j
title: Electric Conductivity of raw milk samples using commercial electrical conductivity meter

description: The data set shows electric conductivity values of raw milk samples of varying butterfat concentrations (1.41-5.76%), measured at a temperature range of 5.0-61oC. We further provide the volume fraction of skimmed milk and whole milk mixtures or cream and whole milk mixtures. The data set was randomly divided into 3 clusters for mathematical modelling, testing and validation.
DOI: 10.17632/xf68bwh54v
title: Panasonic 18650PF Li-ion Battery Data and Example FNN and LSTM Neural Network SOC Estimator Training Script

description: The included example script was created by Dr. Carlos Vidal and Dr. Phillip Kollmeyer at McMaster University in Hamilton, Ontario, Canada.  If this script and the included dataset is utilized for any purpose, the following paper should be referenced along with this Mendeley dataset:

Carlos Vidal, Pawel Malysz, Mina Naguib, Ali Emadi, Phillip J. Kollmeyer, “Estimating battery state of charge using recurrent and non-recurrent neural networks,” Journal of Energy Storage, 2021 (see https://www.sciencedirect.com/ for complete citation information).

The example script is configured to train two different types of machine learning state of charge estimation algorithms - a feedforward neural network with filtered input values and a long short term memory (LSTM) recurrent neural network.  These algorithms are described in detail in the above reference.  The script trains the SOC estimator for normalized data for a Panasonic 18650PF battery dataset which can be found here: https://data.mendeley.com/datasets/wykht8y7tg/1 


%*****************************************************************************************%
-Instructions for Downloading and Running the Script:
1-Select download all files from the Mendeley Data page 
2-The files will be downloaded as a zip file.  Unzip the file to a folder, do not modify the folder structure.
3-Open and run "LSTMvsFNN_Script_Nov_2021_V2.mlx"
4-Further instructions are included in the comments and text in the script (for better experience use the "Matlab Live Code File" with extension *.mlx).


%*****************************************************************************************%
Important - Additional notes regarding the script:
When changing the type of neural network go to line 101 and follow the instructions below.

To select Neural Network Type (line 101): 

Select "1" on the drop down for LSTM
Select "2" on the drop down for FNN

Also go to line 237 and make the same selection of Neural Network Type.

%*****************************************************************************************%
Description of included files:

-All data is normalized, see "Normalization" folder for example showing how to denormalize data

-Data for -20, -10, 0, 10, and 25degC is included (in the paper, the -20degC data is not used)

-The "X" data has 7 rows, where the data in each row is as follows: { V, I, T, V_0.5mHz, I_0.5mHz, V_5mHz, I_5mHz}, where V is voltage, I is current, T is temperature, and the _0.5mHz and _5mHz data is filtered with a 1st order low pass Butterworth filter

-The "Y" data is state of charge calculated via coulomb counting

-The data is split into Train, Test, and Validation and is saved in the respective folders (see the Journal of Energy Storage paper for a description of how the data is split).  Mix 1 to 4 and US06 are used for training, LA92 -10degC for validation, and LA92, NN, and UDDS for testing

-The training data is split into ten separate files, this allows up to 10 mini batches.
DOI: 10.25392/leicester.data.14473401.v1
title: InVEST Habitat Quality Index without forest loss

description: The InVEST HQI was produced using environmental threats or threats for biodiversuity such as urban settlement, and infrastructure such as rail roads and roads. THe land cover input was taken from GLC2000.<br>
DOI: 10.6084/m9.figshare.21867828.v1
title: Data associated with "The timing of heat waves has multiyear effects on milkweed and its insect community".

description: Field data (MW_FullData_Cleaned) and cardenolide data (MW_CardenolidesFull) from the article "The timing of heat waves has multiyear effects on milkweed and its insect community" in the journal Ecology.
DOI: 10.6084/m9.figshare.28942958.v1
title: Metabolomic data of rootand root nodules of soybean W82

description: Metabolomic data of rootand root nodules of soybean W82 planted in the soil with pH9.03
DOI: 10.15468/dl.phz4qv
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 ((14.3361 -25.1213,14.3389 -25.1504,17.9648 -25.1504,17.9648 -16.1504,11.2727 -16.1504,11.2674 -18.0072,11.5829 -18.7133,12.1645 -19.4011,13.5129 -22.0148,13.9862 -22.5966,13.9591 -24.1097,14.3361 -25.1213))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013285-250525065834625/datasets/export for details.
DOI: 10.17632/5cmd897ckw
title: Andreakos_Dourmas_Katsigianni,2021. Climate  change - The Relationship of Rainfall with the Ecological Footprint and the UHI

description: The greenhouse effect and the consequent changes in weather conditions lead to extreme climate
change. In this study we will present a summary of studies, regarding precipitation and how it affects
the precipitation of greenhouse gases in the soil, agricultural production, ecological footprint and
urban heat island (UHI). The greenhouse effect and the corresponding changes in weather conditions
have led to extreme climate change. The theoretical framework of this paper includes a summary of
studies regarding rainfall and how it affects the precipitation of greenhouse gases in the soil,
agricultural production, ecological footprint and the urban heat island (UHI). The aim of this paper is
to highlight how bio-capacity interacts with population and respectively, ecological footprint with
GDP, in the 28 countries of the European Union. In addition, the change of Gini index in each country
was examined in order to draw useful conclusions about its influence on the aforementioned factors
and in particular on GDP and population by taking into account three decades with a base year of
1997. Specifically, data were collected and analyzed for each decade i.e. taking values for years 1997,
2007 and 2017 before the final conclusions were drawn. The paper attempts to show how Gini index
has changed over the years in EU countries, compared to changes in GDP and population of each
country.
DOI: 10.17632/7xvcvxgphb
title: Sorokh-Poth: A Balanced Bangladeshi Road Vehicle Image Dataset

description: The gigantic vehicle image data on the Internet can potentially promote more advanced object detection and classification models and algorithms. But organized, balanced, and valuable dataset remains a critical problem.  We developed a new comprehensive Bangladesh road transport-based balanced image dataset called "Sorokh-Poth" is proposed, which harmonious with several CNN-based architectures such as YOLO, VGG-16, R-CNN, and DPM. Most of the dataset images were collected from a smartphone. The dataset comprises 9809 labeled and annotated images of 10 categories of vehicle images like Auto-rickshaw, bike, bus, bicycle, car, CNG, leguna, rickshaw, truck, and van.
DOI: 10.17632/csf6hhvy3b
title: GatorByte - Dashboard, Server, and MQTT broker

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 source for the GatorByte dashboard, the web server, and the MQTT broker.
DOI: 10.17632/x9hfjkf5jx
title: EFL teachers' Emotion Regulation in Relation to Their Agency and Autonomy

description: Data set of 232 Iranian English as a Foreign Language Teachers' responses to a survey including three questionnaires of Emotion Regulation Questionnaire, scale of Agency Related to Planning Teaching and Learning Activities, and scale of Teaching Autonomy.
DOI: 10.6084/m9.figshare.10264457.v1
title: MOESM1 of Low prevalence of p16-positive HPV-related head-neck cancers in Thailand: tertiary referral center experience

description: Additional file 1. Microsoft Office Excel with all the raw data relevant to the present study, including anonymized baseline, histological, and clinical variables.
DOI: 10.6084/m9.figshare.21290895.v1
title: Bearing Vibration Dataset of a Hydropower Project

description: <br>Twelve months of bearing vibration data acquired from the SCADA system installed at a Hydro Power Project Operating in<i> Pakistan,</i> having a total generation capacity of 969 MW. The number of units installed are four, each having a generation capacity of 242.25 MW. The data is recorded from the horizontal vibration runout system of the Turbine Guide Bearings installed at Unit No. 01. A fault had occurred in the Turbine Guide Bearings of Unit 01 during operation, hence the data contains both clean and faulty data points. Furthermore, the reason for acquiring twelve month data is to encompass both the lean water period where turbines face a lot of turbulence and the peak season where turbines normally operate seamlessly.The data has been used in the following research articlesAfridi, Yasir Saleem, et al. "A Fault Prognostic System for the Turbine Guide Bearings of a Hydropower Plant Using Long-Short Term Memory (LSTM)." <i>arXiv preprint arXiv:2407.19040</i> (2024)Afridi, Y.S.; Hasan, L.; Ullah, R.; Ahmad, Z.; Kim, J.-M. LSTM-Based Condition Monitoring and Fault Prognostics of Rolling Element Bearings Using Raw Vibrational Data. <i>Machines</i> <b>2023</b>, <i>11</i>, 531. https://doi.org/10.3390/machines11050531
DOI: 10.6084/m9.figshare.24908364.v1
title: fused RECS-ACS-2015 data - fst format

description: Fusion of 12 select donor variables from RECS 2015 to ACS 2015, fst format