cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6061691.v1
title: Supplementary Material for: Multidisciplinary Taiwan Consensus Recommendations for the Use of DEBDOX-TACE in Hepatocellular Carcinoma Treatment

description: Transarterial chemoembolization (TACE) is the first-line treatment in patients with unresectable hepatocellular carcinoma (HCC). In recent years, there has been increasing clinical evidence that drug-eluting beads provide a combined ischemic and cytotoxic effect that may be superior to conventional TACE, with low systemic toxicity. The therapeutic value of TACE performed using the embolic microsphere DC Bead loaded with doxorubicin (drug-eluting bead doxorubicin [DEBDOX]) has been shown by several randomized controlled trials. Since Lencioni et al. [Cardiovasc Intervent Radiol 2012; 35: 980–985] published the first widely accepted technical recommendations on HCC embolization with DEBDOX-TACE in 2012, new studies have contributed to a better understanding of when and how to apply this new therapeutic modality, and they have yet to be incorporated into an updated guideline. Additionally, differences in the underlying liver pathology and practice of transcatheter embolization between Asian and Western populations have not been adequately addressed, and there remain significant variations in the TACE protocols adopted in different parts of the world. These mainly revolve around the number and type of chemotherapeutic agents used, type of embolic material, reliance on Lipiodol, and selectivity of catheter positioning. As a result of these issues, it has been difficult to interpret and compare results obtained from different centers in a systematic fashion. To address these concerns, we convened a panel of experts specializing in different aspects of HCC treatment to craft an updated set of recommendations that better reflect recent clinical experiences and are tailored to the use of DEBDOX-TACE in Taiwan. The conclusions of this expert panel are described in the following article.
DOI: 10.17632/sjvm4knbnz
title: Friction Coefficient Data and Prediction Using Decision Tree Model for Open-Cell AlSi10Mg-SiC Composites Under Dry-Sliding Condition

description: The materials used in the data files are: open-cell AlSi10Mg materials and open-cell AlSi10Mg-SiC composites with pore sizes in a range of 1000 – 1200 μm fabricated by liquid-state-processing. The materials were subjected to pin-on-disk experiments at dry-friction wear conditions and the results for the coefficient of friction (COF) are included in this repository. The materials are labeled with “E” designating the open-cell AlSi10Mg material and “SE” designating the open-cell AlSi10Mg-SiC composite. The data files are located in 3 folders. The first folder is named “RAW_data” in which the raw files (.dwf) from the pin-on-disk tests for both materials are present. The second folder is named “Analyzed_data” in which the analyzed files (.xlsx) from the pin-on-disk tests for both materials are present. The third folder is named “Python_code”. It contains a Python file (.py) with a Decision Tree Model that calculates and predicts the COF as a function of time from the pin-on-disk tests for both materials. In the folder, there are two subfolders. The first subfolder “Input” includes two subfolders named “E” and “SE” according to the labels of the materials with the files used for the prediction of the COF of both materials in the Python code. The second subfolder “Output” also has two subfolders in it named “E” and “SE”, in which the output of the Python code for each material is saved.
DOI: 10.17632/6bdx6f49b8
title: LickFunction

description: Included are files containing computer-rendered blueprints for a mouse lickometer chamber and its components, as well as a script for R made to count licks in .wav lickometer recordings and a plain text file explaining its use.
DOI: 10.17632/79367c6gfn
title: Data for: Recognition of Sunflower Growth Period Based on Deep Learning from UAV Remote Sensing Images

description: Supplementary material for the paper "Recognition of Sunflower Growth Period Based on Deep Learning from UAV Remote Sensing Images". This dataset includes some core codes of the paper and remote sensing images for the study area.
DOI: 10.17632/g2wk65v7v9
title: Dataset for "Hepatic inflammation precedes steatosis and is mediated by visceral fat accumulation"

description: This dataset refers to the article "Hepatic inflammation precedes steatosis and is mediated by visceral fat accumulation" published in 2020 at the Journal of Endocrinology (DOI:10.1530/JOE-20-0073). Abstract (DOI:10.1530/JOE-20-0073): The negative aspects of unhealthy eating on obesity and hepatic health are well described. The axis between the adipose tissue and the liver participates in most of the damage caused to this tissue regarding obesogenic diets (OD). At the same time that the effects of consuming simple carbohydrates and saturated fatty acids are known, the effects of the cessation of its intake are scarce. Withdrawing from OD is thought to improve health; despite some studies had shown improvement in hepatic conditions in the long-term, short-term studies were not found. Therefore, we aimed to determine how OD intake and withdrawal would influence visceral and hepatic fat accumulation and inflammation. To this end, male 60-days-old Wistar rats received standard chow (n = 16) or a high-sugar/ high-fat diet (HSHF) for 30 days (n = 32), a cohort of the HSHF-fed animals was then kept 48 h on standard chow (n = 16). In opposition to the generally reported, the results indicate that hepatic inflammation preceded hepatic steatosis. Additionally, inflammatory markers on the liver positively correlated visceral adipokines and visceral fat accumulation mediated them in a deposit-dependent manner. At the same time, a 48-h withdrawal was capable of reverting most of the risen inflammatory mediators, although MyD88 and TNFα persisted and serum non-HDL cholesterol was higher than control levels. It contains the .csv file with the data used in the publication.
DOI: 10.17632/gn7gh94r67
title: manuscript SIP

description: raw data for the manuscript Patterned silver island paths as high-contrast optical sensing platforms
DOI: 10.4121/20343012.v1
title: Hyperspectral dataset and associated MATLAB scripts supplementary to the paper 'Towards Robust River Plastic Detection: Combining Lab and Field-based Hyperspectral Imagery'

description: This database is the supplementary material of Tasseron et al., (2022): 'Towards Robust River Plastic Detection: Combining Lab and Field-based Hyperspectral Imagery' [Submitted and currently under review], preprint available online at https://doi.org/10.31223/X5RW7V. The dataset contains raw images, MATLAB scripts used for training classifier algorithms, trained pipelines, required toolboxes and labelled training datasets used in subsequent analyses.
DOI: 10.17632/5drfmgkrz2
title: Environmental Ranking of European Industrial Facilities by Toxicity and Global Warming Potentials - data file

description: This file contains supplementary information of a research article.

Cite: Erhart, S., Erhart, K. Environmental ranking of European industrial facilities by toxicity and global warming potentials. Sci Rep 13, 1772 (2023). https://doi.org/10.1038/s41598-022-25750-w
https://www.nature.com/articles/s41598-022-25750-w#citeas 



ABSTRACT We present a methodology to develop the integrated toxicity and climate change risk assessment of Europe based facilities, industries and regions. There is an increasingly important need for large scale sustainability measurement solutions for company reporting with high granularity. In this paper we measure key aspects of Sustainable Development Goals in terms of human, cancer and non-cancer toxicity, ecotoxicity together with global warming impact potentials from point source pollutant releases of more than 10,000 companies and their 33,000 facilities in Europe from 2001 to 2017, by using the European Pollutant Release and Transfer Register. For our assessment, we deploy a scientific consensus model, USEtox for characterizing human and ecotoxicological impacts of chemicals and the global warming potential values from the Intergovernmental Panel on Climate Change. We discuss water and air emissions of dozens of pollutants in urban, rural, coastal and inland areas. Companies in the electricity production sector are estimated to have the largest human toxicity impact potential (46% of total) and the largest global warming impact potential (50%), while companies in the sewerage sector have the largest ecotoxicity impact potential (50%). In the overall economy, the correlation between facilities’ global warming and toxicity impact potentials is positive, however, not very strong. Therefore, we argue that carbon footprint of industrial organizations can be only used as a climate change risk indicator, but not as an overall environmental performance indicator. We confirm impact potentials of major pollutants in previous research papers (Hg accounting for 76% of the total human toxicity and Zn accounting for 68% of total ecotoxicity), although we draw the attention to the limitations of USEtox in case of metals. From 2001 to 2017 total human toxicity dropped by 28%. Finally, we show that the European pollutant release monitoring data quality could be further improved, as only three quarters of the toxic releases are measured in the Member States of the European Union. 

DISCLAIMER The authors takes no responsibility for the timeliness, accuracy, completeness or quality of the information provided. The authors are in no event liable for damages of any kind incurred or suffered as a result of the use or non-use of the information presented or the use of defective or incomplete information . The contents are subject to confirmation and not binding. The author expressly reserves the right to alter, amend , whole and in part, without prior notice or to discontinue publication for a period of time or even completely.
DOI: 10.17632/k9ptwdcy6r
title: Contributions of urban green infrastructure in Poligono Central, Santo Domingo, Dominican Republic

description: This research seeks to answer the following questions: What are the contributions of green infrastructure in the reduction of the urban heat island in the Central Polygon of the National District? What are the strategies for adaptation to climate change, including contributions to the regulations of green infrastructure for urban trees in the Central Industrial Estate of the National District? What is the economic value of the ecosystem services of urban trees for the families of the Polígono Central?

The urban heat island (UHI) and greenhouse gas emissions (GHG) are phenomena that affect the temperature and quality of life of city residents. Studies show that urban trees can be used as a tool to mitigate these phenomena. The research proposes methodological strategies that evaluate urban trees, determine adaptation measures to climate change through green infrastructure, evaluate strategies for the regulation of urban trees in the National District and its assessment. In addition, consultations with experts, training of professionals (RAUDO, ADRU AND RIADRU) and scientific publications in indexed journals will be carried out. The results provide elements for the establishment of public policies that contribute to the National Development Strategy, the National Climate Change Policy and the Sustainable Development Goals (SDG).

Keywords: urban heat island, adaptation to climate change, green infrastructure, thermal comfort, radiant temperature, economic value of urban trees.
DOI: 10.17632/y3s8fvv59k
title: Indoor Environmental Quality database for a low-income housing in Merida, Yucatan, Mexico

description: Poor environmental quality represents a global challenge due to its influence on human and habitat health. Poor environmental quality is a problem of national interest in Mexico with limitations in the development of instrumentation and universal access. This problem is particularly more severe in extreme environments where the probability of technical failures increases due to climatic conditions. In this context, a low-cost measurement system was developed to measure environmental quality variables: Temperature (°C), Atmospheric Pressure (hPa), Relative Humidity (%), Particulate Matter PM1.0, PM2.5, PM10 (ug/m3), CO₂ (ppm), H₂S (ppm), and Noise (dB). The objective was to generate a database in a warm humid climate, to increase quantitative knowledge that will lead to actions to improve environmental quality in Mexican homes. To achieve this objective, an experimental method was developed with a low-cost prototype that followed a calibration and validation procedure that supports the obtained results. Measurements were performed in a social housing in Merida, Yucatan with intervals of 60 minutes for one year (July 12th, 2023, to July 12th, 2024). As a result, 7406 data points were obtained for each measured variable, which can be used by public and private actors interested in improving the user's quality of life under extreme climate conditions. It is important to note that the database with universal access to knowledge is part of the efforts to increase science-based decisions towards energy equity and security of housing in Latin America.
DOI: 10.17632/8t7pc9kfzp
title: Supplemental Sentinel Lymph Node Decision Curve Data 

description: This data is meant to accompany the manuscript published in the Journal of the American Academy of Dermatology, titled "Sentinel lymph node biopsy status improves adjuvant therapy decision-making in patients with clinical stage IIB/C melanoma: a population-based analysis". This supplemental data contains the multivariable logistic regression models developed to predict 5-year melanoma specific death with and without sentinel lymph node status, and a supplemental table demonstrating the net benefit provided by sentinel lymph node status at each risk threshold probability for melanoma-specific death among the entire study cohort. Figures include: 
1) Receiver operating curves of models estimating risk for 5-year melanoma-specific death among patients with stage IIB/C cutaneous melanoma with a) thickness and ulceration alone and b) incorporating sentinel lymph node status.  
2) Histogram demonstrating distribution of predicted risk among patients with stage IIB/C cutaneous melanoma based upon the Clinicopathologic-Sentinel Lymph Node model. 
3) Decision curve analysis demonstrating added net benefit with inclusion of sentinel lymph node status in estimating risk for 5-year melanoma-specific death compared to a model including thickness and ulceration alone among stage IIB/C cutaneous melanoma patients a) <65 and b) ≥65 years of age.
DOI: 10.17632/rf88fks8mt
title: Hallucinogen rating scale

description: The hallucinogen rating scale (HRS) is a self-report questionnaire that is used to evaluate the acute effects of hallucinogenic drugs. These are scores of three cases following administration of subacute doses of Ketamine for management of acute suicide
DOI: 10.17632/rbtssbsv56
title: AQUAPONICS Serious Game: Supplementary Material

description: Aquaponics Learning Questionnaire -ALQ- is an instrument to collect information on observations of the application of the Aquaponics board game. It consists of 18 information fields, which correspond to: date, city, address, participant's age group, participant's age, level of education, economic activity, previous experience in board games, knowledge of agriculture, knowledge of aquaculture, knowledge of hydroponics, knowledge of aquaponics, desire to learn about aquaponics. It also includes variables to evaluate the performance of the participants such as: number of rounds to win the game, time to win the game, and finally, questions about the characteristics of the game such as: clarity in the rules of the game, ease of playing, in general, does the game offer a general idea about aquaponics?
In this repository, you will find six Aquaponics game boards, as well as instructions in English and Spanish, both in text and video.
A description of the scoring of the game is included, which defines the strategies to achieve the main objective of the game.
Finally, the boards of the Aquaponics board game are available, as well as its digital version.
DOI: 10.17632/s9mn5xg4wj
title: Data for: Rapid Yield Predictions in Paddy Fields Based on 2D Image Modelling of Rice Panicles

description: The data here are panicle weights and the images of rice panicles of different rice cultivars. It includes grain number, filled grain number, seed setting rate, panicle weight, filled grain weight and 1200 2D color images of rice panicles. The panicles in this study were sampled from Sihong city, Jiangsu Province, in 2017. Then their weight parameters were measured. And the images of rice panicles were scanned to obtain grain area. The weight and area data could be used for exploring the rapid yield estimation models and also would provide good materials for crop phenotype research.
DOI: 10.15468/dl.hmpy38
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Muhlenbergia porteri Scribn.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 166 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012893-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/czrpb7pm39
title: Choking Under Time Pressure Full Data.dta

description: Data comes from the learning management system logs of 498 students who took a 40-question multiple choice exam at the University of X in 2021-22. Variables are detailed below.
DOI: 10.17632/ycxgx44hs8
title: Data for: Development of an Enzyme-linked Immunosorbent Assay for Keap1-Nrf2 Interaction Inhibitors Identification

description: Development a new ELISA format to identify KEAP1-NRF2 inihbitors
DOI: 10.17632/nm5g7yv85p
title: Rebiopolyols – New components for the synthesis of polyurethane biofoams in line with the circular economy concept

description: The primary goal of the research presented here was to evaluate the possibility of chemolysis of polyurethane biofoams synthesized from vegetable oil-based biopolyols with different chemical structures. As a reference material, a foam synthesized in 100 % from a petrochemical polyol was used. Chemolysis of polyurethane foams was conducted by using diethylene glycol as a solvent with a 1.5:1 wt ratio of biopolyurethane scraps to glycol. The reaction was carried out at 180 °C for 100 min in the presence of potassium hydroxide as a catalyst. The results of the chemolysis of different polyurethane foams were evaluated in terms of the hydroxyl number, amine value, viscosity, molecular weight and FTIR analysis of the new rebiopolyols. It can be concluded that the chemical structures of different biopolyols (obtained through the method of transesterification of vegetable oils with two different reagents and a two-step method of epoxidation and oxirane rings opening) that are used to make biopolyurethane foams have an impact on the course of the chemolysis process and the properties of resultant rebiopolyols.
In order to verify the application possibilities of the new components obtained in accordance with the idea of circular economy, extreme conditions were applied in the form of complete replacement of the polyol in the reference foam with the rebiopolyols. It was found that replacing the petrochemical polyol with the repolyol results in partial cell opening, and replacing this component with the rebiopolyols results in open-cell foams. Only the rebiopolyol derived from the biofoam with the biopolyol obtained by transesterification of oil with triethanolamine was not suitable for use in a polyurethane system because its reactivity was too high. In conclusion, there is no need to use catalysts to obtain new biofoams from rebiopolyols given the catalytic nature of the new biocomponents.
DOI: 10.17632/v5srv4ms3n
title: Dataset from leaves of Sandoricum koetjape by long-read Sequencing

description: This dataset provides Sandoricum koetjape, Swingle transcriptome reference using Oxford Nanopore Technologies of long-read sequencing on LED treatment
DOI: 10.17632/gt37rfwtb5
title: MQTT DoS DDoS IoT Attack

description: The data collected on a raspberry pi 3B+ as a mosquitto brocker, and as mosquittos clients, from 12 sessions with terminator on an ubuntu 20 (4 publishers and 8 subscribers). The data collection was done with wireshark. The normal traffic was done during 3 days and produced 142.000 data entries. The attack traffic lasted 2 to 3 minutes for hundreds of thousands of data with the most popular and useful tools like hping3 and LOIC. The complete dataset is 424.716 harvested entries. The choice of the dataset fields was made in relation to the parameters most affected by a DDos attack. The dataset can be used for research purposes and on the other hand with machine learning techniques and implementation in IDS or IPS.
DOI: 10.17632/p5w3t7vw4f
title: Budges355: Individual events of a bird's flying motion, along with video clips, annotated images and 3D data (355 clips).

description: The dataset consists of birds (Budgerigar) flying motion in a controlled environment. Trajectories of birds flying from one perch to another perch were recorded using video cameras. The dataset contains 355 clips of individual events of a bird's flying motion, along with annotated images and 3D data generated from the events.

Only the bird in motion was annotated and 3D trajectories were calculated for all five parts of the bird that were annotated. The annotations were done manually using Computer Vision Annotation Tool (CVAT). For generating the 3D trajectories of the bird's flight motion, Matlab (MathWorks®) was used. The files for all five 3D trajectories are labelled as such; point3D_bird for the bird’s body, point3D_head for the head of the bird, point3D_tail for the tail of the bird, point_3D_left_wing and point_3D_right_wing for the left wing and right wing of the bird respectively. The annotation's file format is JSON, and the format of the annotation is Microsoft COCO . The 3D coordinates for the bird's trajectories are in .mat file format.

Dataset folder structure:
	clip_1
	-->point3D_bird
	-->point3D_head
	-->point3D_tail
	-->point3D_left_wing
	-->point3D_right_wing
	-->left.mp4
	-->right.mp4
	-->left
	-->-->images (includes all the frames of clip 1 left)
	-->-->annotations (includes .json file for annotation of clip 1 left)
	-->right
	-->-->images (includes all the frames of clip 1 right)
	-->-->annotations (includes .json file for annotation of clip 1 right)
.
.
.
	clip_355

There are three zip files:
1. Budges355 (Random 10 clips) where you can randomly find 10 clips for previewing the dataset.
2. Budges355 (clip 1-150).zip - clip 1 to clip 150
3. Budges355 (clip 151-355).zip - clip 151 to clip 355