cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wy4vx8bc83.1
title: Data_RR01

description: Data for the manuscript entitled "Aging of nanosized titanium dioxide modulates the effects of dietary copper exposure on Daphnia magna – an assessment over two generations"
DOI: 10.17632/cwdct64thg.1
title: Strategic planning of literacy in the classroom

description: This paper argues that humans fail to realise that our real education begins after school
DOI: 10.17632/f5p4h32p46.1
title: Multi-modality deep learning model reaches high prediction accuracy in the diagnosis of ovarian cancer diagnosis

description: This code supports the article "Multi-modality deep learning model reaches high prediction accuracy in the diagnosis of ovarian cancer diagnosis" .The weights are also be included.
DOI: 10.17632/rbgkyhf6r9.1
title: Improved Yolov8 neural network structure schematic diagram

description: Improved Yolov8 neural network structure schematic diagram
DOI: 10.17632/fcgnjpc2jw.1
title: Bio-diesel dataset

description: This data is used for the estimation of the biodiesel equilibrium market conditions using stata and ardl using eviews
DOI: 10.17632/mhrt4svjxc.2
title: Breast Thermography

description: It is image termography dataset of female torax zone as scientific contribution in breast cancer thermography research area. Dataset was acquired inside a medical office with dimensions W:3.20m x L:4.14m x H:2.40m, without artificial illumination at a temperature 22 - 24°C and relative humidity 45 - 50%. A FLIR A300 camera was used to capture the images at a working distance of 1m from the patient. The American Academy of Thermology (AAT) protocol was used to prepare the patient and capture. Three images were taken of each patient in the female thorax area: anterior, left oblique and right oblique positions. The patients ranged in age from 18-81 years with different pathologies related to the female breast. The images were captured between 2021 and 2022.
DOI: 10.17632/fsjz6gf4xv.1
title: Predict Response to Neoadjuvant Chemotherapy for Triple Negative Breast Cancer using Nuclear magnetic resonance-based Urine Metabolomics and Self-organizing maps

description: Raw data from urine samples of "Predict Response to Neoadjuvant Chemotherapy for Triple Negative Breast Cancer using Nuclear magnetic resonance-based Urine Metabolomics and Self-organizing maps"
DOI: 10.17632/bbz8353xwh.1
title: NMR-based Metabolomics Analysis Predict Response to Neoadjuvant Chemotherapy for Triple Negative Breast Cancer

description: Raw data of the "NMR-based Metabolomics Analysis Predict Response to Neoadjuvant Chemotherapy for Triple Negative Breast Cancer"
DOI: 10.17632/bbz8353xwh.2
title: NMR-based Metabolomics Analysis Predict Response to Neoadjuvant Chemotherapy for Triple Negative Breast Cancer

description: Raw data of the "NMR-based Metabolomics Analysis Predict Response to Neoadjuvant Chemotherapy for Triple Negative Breast Cancer"
DOI: 10.17632/7vc6h8frr8.1
title: iTBS DST data

description: This pilot study investigates the effects of 20 once-daily sessions of intermittent theta-burst stimulation (iTBS)—a form of repetitive transcranial magnetic stimulation (rTMS)—applied to the left dorsolateral prefrontal cortex in 17 treatment resistant depressed inpatients (TRDs) showing cortisol non-suppression to the overnight dexamethasone suppression test (DST) at baseline. Compared to 17 matched healthy control subjects (HCs), TRDs showed higher maximum post-DST cortisol (CORmax) levels at baseline, while after 20 iTBS sessions post-DST CORmax levels decreased significantly and were comparable to those of HCs. The DST status after 20 iTBS sessions was associated with clinical outcome: 10 TRDs showed DST normalization (among them 7 were responders [70%] to iTBS), and 7 TRDs did not normalize their DST (among them 6 were non-responders [86%]) (p &lt; 0.05 by Fisher Exact test). Our results suggest that normalization of the hypothalamic-pituitary-adrenal axis hyperactivity, significantly associated with successful iTBS treatment, is a primary result of a normalized glucocorticoid receptor signaling.
DOI: 10.17632/z4fdg43ynn.2
title: Study 2023

description: The processed data is in the CSV file, and the calculations were performed using this spreadsheet in the JASP file.
DOI: 10.17632/z4fdg43ynn.1
title: The Reflective Mind of the Anxious in Action: Metacognitive Beliefs and Maladaptive Emotional Regulation Strategies Con-strain Working Memory Efficacity.

description: The processed data is in the CSV file, and the calculations were performed using this spreadsheet in the JASP file.
DOI: 10.17632/z4fdg43ynn.3
title: Study 2023

description: The processed data is in the CSV file, and the calculations were performed using this spreadsheet in the JASP file.
DOI: 10.17632/chfts86dzn.1
title: Database_Nova Lima_Remote Sensing

description: Data collection was carried out through the acquisition of images from the Landsat 8 satellite obtained from the Earth Explorer platform, from the United States Geological Survey (USGS, 2023). The images were obtained for the years 2013, 2018 and 2023, for the purpose of evaluating the temporal evolution of vegetation and land use and occupation in the study area considering a period of 10 years. One image was selected for each year, corresponding to the dry period, totaling three images. As pointed out by Pereira et al., (2020), precipitation can influence responses to vegetation indices. Therefore, the choice to analyze images from the same period aims to eliminate interpretations of changes in indices due to different climatic conditions.
DOI: 10.17632/44t976dyrj.1
title: fwXmachina example: Anomaly detection for two photons and two jets

description: This dataset provides a ROOT file with three trees:
- "SM" includes a cocktail of events of all standard model processes with final state jjyy, where y denotes a photon.
- "H125_a10a70" includes events from the BSM decay H --&gt; a1 a2, for Higgs mass of 125 GeV and Higgs-like scalars a1 [10 GeV] and a2 [70 GeV]. These decay further as a1 --&gt; yy, a2 --&gt; jj
- "H70_a5a50" includes events from the BSM decay H --&gt; a1 a2, for Higgs mass of 70 GeV and Higgs-like scalars a1 [5 GeV] and a2 [50 GeV]. These decay further as a1 --&gt; yy, a2 --&gt; jj

Each tree contains the variables j1pT, j2pT, y1pT, y2pT, denoting the transverse momentum of the leading and subleading jets and photons, the variables deltaRjj and deltaRyy, denoting the distance in eta-phi coordinates between the jets and between the photons, and the variables mjj and myy, denoting the invariant mass of the dijet system and the diphoton system. If an event has fewer than 2 jets, mjj and deltaRjj will be 0. Similarly, if an event has fewer than 2 photons, myy and deltaRyy will be 0.

All events were produced with MadGraph. BSM decays and hadronization were performed with Pythia8 with the ATLAS AZ17 tune. Showering, event reconstruction, and detector simulation was performed with Delphes with the CMS detector card. Pseudorapidity/phi coordinates were used with eta between -4.9--&gt;4.9 and phi between -pi--&gt;pi. No pileup was applied. All Higgs production is via the gluon-gluon fusion (ggF) channel. In MadGraph, the Higgs effective field theory (HEFT) model is used for all signal and background production.

This data is used in https://arxiv.org/abs/2304.03836.
DOI: 10.17632/8kn7kjvgrm.1
title: Analysis of intestinal microbiota in schizophrenic with type 2 diabetes

description: a study on the intestinal microbiota of four distinct groups: Simple Schizophrenia Group (SC), Schizophrenia with Type 2 Diabetes Group (TS), Type 2 Diabetes Group (T2DM), and Normal Population Control Group (HC), comprising a total of 35 subjects.
DOI: 10.17632/zyt6htfrxt.1
title: INNODIA Small RNAseq Raw data

description: The dataset contains csv file (semicolon delimited) of raw small RNAseq data from the first INNODIA cohort (Targeted and Untargeted sequencing platforms) and from the second INNODIA cohort (Untargeted sequencing platform). Raw read counts in the Untargeted datasets were obtained through the GeneGlobe pipeline with the removal of PCR duplicates, while the HTG EdgeSeq parser was used for the quantification for the Targeted sequencing platform. Technical replicates are indicated as 'b' with the same Sample number.
DOI: 10.17632/ytpdy3yz47.1
title: Local goverment

description: Local governments in Brazil participating in international campaigns to build resilient cities: Analysing budget execution
DOI: 10.17632/8pnt6nrd22.1
title: Replication Package for Price Ceilings, Market Structure, and Payout Policies

description: Replication package (Pseudo Data and Code) for “Price ceilings, market structure, and payout policies”
DOI: 10.17632/mbd6m97zy9.1
title: Supplementary Material for JAAD

description: Supplementary Material for Digitally-Guided Precision Fat Grafting for Progressive Hemifacial Atrophy
DOI: 10.6084/m9.figshare.25143857.v1
title: Supplementary Material for: Weight stigma in Latin America, Asia, Middle East, and Africa: A scoping review

description: Background: Being stigmatized because of one’s weight can pose physical, mental, and social challenges. While weight stigma and its consequences are established throughout Europe, North America, and Australasia, less is known about weight stigma in other regions. Summary: The objective of this study was to identify the extent and focus of weight stigma research in Latin America, Asia, the Middle East, and Africa. A scoping review of weight stigma research in Latin America, Asia, the Middle East, and Africa was conducted. Results indicate that weight stigma has been investigated across populations and settings, mainly focusing on manifestations of weight stigma through experiences and practices and the drivers, and personal outcomes of these manifestations. Key Messages: Weight stigma is a developing global health concern not restricted to Europe, North America, and Australasia. The extent and focus of weight stigma research in Latin America, Asia, the Middle East, and Africa vary between countries and regions leaving several research gaps that require further investigation.
DOI: 10.17632/db7rks2ybw.1
title: Genome-wide identification, phylogeny and expressional profile of the Dmrt gene family in Chinese sturgeon (Acipenser sinensis)

description: Chinese sturgeon Dmrt gene family was identified and characterized for the first time. A total of 5 putative Dmrt genes were identified. The gene structure, conserved protein domain and the phylogenetic relationship of Dmrt gene family were systematically analyzed. The expressed profile of Chinese sturgeon Dmrt genes in gonad, pituitary and hypothalamus in the male and female were investigated. The results indicated that the accumulation of Dmrt genes was involved in different tissues, and the expression profile also differed among each Dmrt genes. ASDmrt1A, ASDmrt2, ASDmrt3, and ASDmrtA1 were highly expressed in the testis in comparison with other tissue. This result showed that ASDmrt1A, ASDmrt2, ASDmrt3, and ASDmrtA1 played an important role in the development of testicle, and may be useful tool in distinguishing between male and female of Chinese sturgeon. Our study will provide a basis for additional analyses of Chinese sturgeon Dmrt genes. This systematic analysis provided a foundation for further functional characterization of Dmrt genes with an aim of study of Chinese sturgeon Dmrt gene family.
DOI: 10.17632/fzmpmcnn3y.1
title: Highly Automated and Driverless Vehicles Public Acceptance Survey for Australia and NewZealand

description: Highly automated and driverless (HAD) vehicles are predicted to have several societal benefits, including reduced accidents and fatalities, reduced congestion, efficient traffic networks and improved productivity. However, the adoption of technology is dependent on the willingness of people to adopt the technology. For a smooth transition to driverless vehicles, it is essential to investigate the public perception of driverless vehicles. This paper presents the longitudinal survey data on public opinion on driverless vehicles in Australia and New Zealand. The survey has four rounds undertaken over a period of six years that can provide insights into the sentiment of Australians and New Zealanders over time. The data presented in the paper can be used in research studies that can benefit vehicle manufacturers, policymakers and researchers responsible for and interested in the safe and successful deployment of automated and driverless vehicles on Australian and New-Zealand roads in the future. Additionally, the last round of the survey also consists of Covid-19 questions and can be used to investigate Covid-19’s effect on mobility.
DOI: 10.17632/t78mc3s6vv.1
title: Sanctions news index (SNI) for the period 01/31/2023-01/31/2024

description: The dataset presents the SNI time series for the period 01/31/2023-01/31/2024. SNI is a quantitative index reflecting sanctions pressure on financial markets. In earlier studies, we have proven that SNI causes changes in domestic financial markets. Consequently, the growth of this index shows an increase in sanctions tension and is the reason for the volatility of financial assets.

SNI is justified in the article: Rychkov, V. (2023). Estimate of the Impact of Trade Sanctions on the Russian Financial Markets. In: Isaeva, E., Rocha, Á. (eds) Science and Global Challenges of the 21st Century – Innovations and Technologies in Interdisciplinary Applications. Perm Forum 2022. Lecture Notes in Networks and Systems, vol 622. Springer, Cham. https://doi.org/10.1007/978-3-031-28086-3_70

When using SNI, a link to the Dataset and article is required!
DOI: 10.17632/3w8gy59zv8.1
title: paraganglioma

description: Clinical outcomes and challenges of surgical extirpation for carotid body paraganglioma in South Korea: a single-center retrospective study
DOI: 10.17632/gdtnnfyr7s.1
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Mobile App Identification in Real-World Network Environment - Scenario E

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 2 in the paper). The current repository pertains to Scenario E. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/gdtnnfyr7s.2
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Network Traffic Classification in Diverse Environments - Scenario E

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 2 in the paper). The current repository pertains to Scenario E. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/gdtnnfyr7s.3
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Network Traffic Classification in Diverse Environments - Scenario E

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 1 of the DetailedDescription document in the Supplementary Materials repository). 
The current repository pertains to Scenario E. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/mcmf627yh5.1
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Mobile App Identification in Real-World Network Environment - Scenario D

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 2 in the paper). The current repository pertains to Scenario D. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/mcmf627yh5.2
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Network Traffic Classification in Diverse Environments - Scenario D

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 2 in the paper). The current repository pertains to Scenario D. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/mcmf627yh5.3
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Network Traffic Classification in Diverse Environments - Scenario D

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 1 of the DetailedDescription document in the Supplementary Materials repository). 
The current repository pertains to Scenario D. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/gp8r347j38.1
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Mobile App Identification in Real-World Network Environment - Scenario C

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 2 in the paper). The current repository pertains to Scenario C. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/gp8r347j38.2
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Network Traffic Classification in Diverse Environments - Scenario C

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 2 in the paper). The current repository pertains to Scenario C. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/gp8r347j38.3
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Network Traffic Classification in Diverse Environments - Scenario C

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 1 of the DetailedDescription document in the Supplementary Materials repository). 
The current repository pertains to Scenario C. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/3zggb53m4x.1
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Mobile App Identification in Real-World Network Environment - Scenario B

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 2 in the paper). The current repository pertains to Scenario B. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/3zggb53m4x.2
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Network Traffic Classification in Diverse Environments - Scenario B

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 2 in the paper). The current repository pertains to Scenario B. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/3zggb53m4x.3
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Network Traffic Classification in Diverse Environments - Scenario B

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 1 of the DetailedDescription document in the Supplementary Materials repository). 
The current repository pertains to Scenario B. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/k3yg6dc884.1
title: Dynamics of Digitalization in Asian

description: The data set scrutinizes various factors to uncover the impact of digitalization on economic progress in diverse contexts in Asia. This time-series data uncovers underlying patterns and disparities that play a crucial role in the intricate relationship between digitalization and economic development.
DOI: 10.17632/ynvc9bwrt9.1
title: Nonbank lenders as global shock absorbers: Evidence from US monetary policy spillovers

description: Replication package for "Nonbank lenders as global shock absorbers: Evidence from US monetary policy spillovers", by David Elliott, Ralf Meisenzahl, and Jose-Luis Peydro, published in Journal of International Economics (2024).
DOI: 10.17632/rycf3j785j.1
title: Experimental data of e-liquids and nicotine in Ampang, Malaysia

description: Ampang Jaya, commonly known as Ampang, is a historic town and district located partly in the state of Selangor, to the east of Kuala Lumpur city centre. Identified as one of the main cities in Malaysia, Ampang Jaya has experienced significant population growth, reaching 756,309 individuals in recent years. In the context of a study on e-liquids, 25 samples with varying flavors and nicotine content were obtained from retail shops in and around Ampang Jaya. Additionally, a nicotine solution used in the vape industry was donated by a local individual (Sample 27) . They consists of various colors ranging from brown and bright yellow to amber, red, and colorless shades. Overall, the list encompasses a diverse range of aromatic profiles, brand names and flavors.

1 LV_542_OKT_1
2 LV_542_OKT_2
3 LV_542_OKT_3
4 LV_542_OKT_4
5 LV_542_OKT_5A
6 LV_542_OKT_5B**
7 LV_542_OKT_6
8 LV_542_OKT_7
9 LV_542_OKT_8
10 LV_542_OKT_9
11 LV_542_OKT_10
12 LV_542_OKT_11
13 LV_542_OKT_12
14 LV_542_OKT_13
15 LV_542_OKT_14
16 LV_542_OKT_15
17 LV_542_OKT_16
18 LV_542_OKT_17
19 LV_542_OKT_18
20 LV_542_OKT_19
21 LV_542_OKT_20
22 LV_542_OKT_21
23 LV_542_OKT_22
24 LV_542_OKT_23
25 LV_542_OKT_24
26 LV_542_OKT_25
27 NIC_IPIN_MAY