cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26138/sxs:bbh:0246v1.1
title: Binary black-hole simulation SXS:BBH:0246
DOI: 10.26138/sxs:bbh:0246v1.2
title: Binary black-hole simulation SXS:BBH:0246
DOI: 10.26138/sxs:bbh:0246v1.3
title: Binary black-hole simulation SXS:BBH:0246
DOI: 10.26138/sxs:bbh:0246v1.4
title: Binary black-hole simulation SXS:BBH:0246
DOI: 10.26138/sxs:bbh:0246v1.5
title: Binary black-hole simulation SXS:BBH:0246
DOI: 10.26138/sxs:bbh:0247v1.1
title: Binary black-hole simulation SXS:BBH:0247
DOI: 10.26138/sxs:bbh:0247v1.2
title: Binary black-hole simulation SXS:BBH:0247
DOI: 10.26138/sxs:bbh:0247v1.3
title: Binary black-hole simulation SXS:BBH:0247
DOI: 10.26138/sxs:bbh:0247v1.4
title: Binary black-hole simulation SXS:BBH:0247
DOI: 10.26138/sxs:bbh:0247v1.5
title: Binary black-hole simulation SXS:BBH:0247
DOI: 10.26138/sxs:bbh:0248v1.1
title: Binary black-hole simulation SXS:BBH:0248
DOI: 10.26138/sxs:bbh:0248v1.2
title: Binary black-hole simulation SXS:BBH:0248
DOI: 10.26138/sxs:bbh:0248v1.3
title: Binary black-hole simulation SXS:BBH:0248
DOI: 10.26138/sxs:bbh:0248v1.4
title: Binary black-hole simulation SXS:BBH:0248
DOI: 10.26138/sxs:bbh:0248v1.5
title: Binary black-hole simulation SXS:BBH:0248
DOI: 10.26138/sxs:bbh:0249v1.1
title: Binary black-hole simulation SXS:BBH:0249
DOI: 10.26138/sxs:bbh:0249v1.2
title: Binary black-hole simulation SXS:BBH:0249
DOI: 10.26138/sxs:bbh:0249v1.3
title: Binary black-hole simulation SXS:BBH:0249
DOI: 10.26138/sxs:bbh:0249v1.4
title: Binary black-hole simulation SXS:BBH:0249
DOI: 10.26138/sxs:bbh:0249v1.5
title: Binary black-hole simulation SXS:BBH:0249
DOI: 10.26138/sxs:bbh:0250v1.1
title: Binary black-hole simulation SXS:BBH:0250
DOI: 10.26138/sxs:bbh:0250v1.2
title: Binary black-hole simulation SXS:BBH:0250
DOI: 10.26138/sxs:bbh:0250v1.3
title: Binary black-hole simulation SXS:BBH:0250
DOI: 10.26138/sxs:bbh:0250v1.4
title: Binary black-hole simulation SXS:BBH:0250
DOI: 10.26138/sxs:bbh:0250v1.5
title: Binary black-hole simulation SXS:BBH:0250
DOI: 10.26138/sxs:bbh:0251v1.1
title: Binary black-hole simulation SXS:BBH:0251
DOI: 10.26138/sxs:bbh:0251v1.2
title: Binary black-hole simulation SXS:BBH:0251
DOI: 10.26138/sxs:bbh:0251v1.3
title: Binary black-hole simulation SXS:BBH:0251
DOI: 10.26138/sxs:bbh:0251v1.4
title: Binary black-hole simulation SXS:BBH:0251
DOI: 10.26138/sxs:bbh:0251v1.5
title: Binary black-hole simulation SXS:BBH:0251
DOI: 10.26138/sxs:bbh:0252v1.1
title: Binary black-hole simulation SXS:BBH:0252
DOI: 10.26138/sxs:bbh:0252v1.2
title: Binary black-hole simulation SXS:BBH:0252
DOI: 10.26138/sxs:bbh:0252v1.3
title: Binary black-hole simulation SXS:BBH:0252
DOI: 10.26138/sxs:bbh:0252v1.4
title: Binary black-hole simulation SXS:BBH:0252
DOI: 10.26138/sxs:bbh:0252v1.5
title: Binary black-hole simulation SXS:BBH:0252
DOI: 10.26138/sxs:bbh:0253v1.1
title: Binary black-hole simulation SXS:BBH:0253
DOI: 10.26138/sxs:bbh:0253v1.2
title: Binary black-hole simulation SXS:BBH:0253
DOI: 10.26138/sxs:bbh:0253v1.3
title: Binary black-hole simulation SXS:BBH:0253
DOI: 10.26138/sxs:bbh:0253v1.4
title: Binary black-hole simulation SXS:BBH:0253
DOI: 10.26138/sxs:bbh:0253v1.5
title: Binary black-hole simulation SXS:BBH:0253
DOI: 10.26138/sxs:bbh:0254v1.1
title: Binary black-hole simulation SXS:BBH:0254
DOI: 10.26138/sxs:bbh:0254v1.2
title: Binary black-hole simulation SXS:BBH:0254
DOI: 10.26138/sxs:bbh:0254v1.3
title: Binary black-hole simulation SXS:BBH:0254
DOI: 10.26138/sxs:bbh:0254v1.4
title: Binary black-hole simulation SXS:BBH:0254
DOI: 10.26138/sxs:bbh:0254v1.5
title: Binary black-hole simulation SXS:BBH:0254
DOI: 10.26138/sxs:bbh:0255v1.1
title: Binary black-hole simulation SXS:BBH:0255
DOI: 10.26138/sxs:bbh:0255v1.2
title: Binary black-hole simulation SXS:BBH:0255
DOI: 10.26138/sxs:bbh:0255v1.3
title: Binary black-hole simulation SXS:BBH:0255
DOI: 10.26138/sxs:bbh:0255v1.4
title: Binary black-hole simulation SXS:BBH:0255
DOI: 10.26138/sxs:bbh:0255v1.5
title: Binary black-hole simulation SXS:BBH:0255
DOI: 10.26138/sxs:bbh:0256v1.1
title: Binary black-hole simulation SXS:BBH:0256
DOI: 10.26138/sxs:bbh:0256v1.2
title: Binary black-hole simulation SXS:BBH:0256
DOI: 10.26138/sxs:bbh:0256v1.3
title: Binary black-hole simulation SXS:BBH:0256
DOI: 10.26138/sxs:bbh:0256v1.4
title: Binary black-hole simulation SXS:BBH:0256
DOI: 10.6084/m9.figshare.24762162
title: <b>Small Rock Fragments Encountered by Pragyan rover at the Landing Site of Chandrayaan-3 Mission</b><b>_</b><b>NavCam Datasets</b>

description: NavCam images used in the study.
DOI: 10.6084/m9.figshare.24762162.v1
title: <b>Small Rock Fragments Encountered by Pragyan rover at the Landing Site of Chandrayaan-3 Mission</b><b>_</b><b>NavCam Datasets</b>

description: NavCam images used in the study.
DOI: 10.5281/zenodo.10279163
title: Earthquakes used for spllitting analysis

description: These files include the list of earthquakes which were used for splitting analysis. 
Columns 1 and 5 represent occurrence date and time of the earthquake, respectively.
Columns 2, 3, and 4 are the longitude, latitude, and depth of the epicenter, respectively, and column 17 is the magnitude.
Columns 8 and 12 are the estimated delay time and fast direction, respectively, and columns 9 and 13 are their standard errors.
DOI: 10.5281/zenodo.10279164
title: Earthquakes used for spllitting analysis

description: These files include the list of earthquakes which were used for splitting analysis. 
Columns 1 and 5 represent occurrence date and time of the earthquake, respectively.
Columns 2, 3, and 4 are the longitude, latitude, and depth of the epicenter, respectively, and column 17 is the magnitude.
Columns 8 and 12 are the estimated delay time and fast direction, respectively, and columns 9 and 13 are their standard errors.
DOI: 10.11588/data/tgdd4y
title: Substituting density functional theory in reaction barrier calculations for hydrogen atom transfer in proteins [data]

description: Hydrogen atom transfer (HAT) reactions are important in many biological systems. As these reactions are hard to observe experimentally, it is of high interest to shed light on them using simulations. Here, we present a machine learning model based on graph neural networks for the prediction of energy barriers of HAT reactions in proteins. As input, the model uses exclusively non-optimized structures as obtained from classical simulations. It was trained on more than 17,000 energy barriers calculated using hybrid density functional theory. We built and evaluated the model in the context of HAT in collagen, but we show that the same workflow can easily be applied to HAT reactions in other biological or synthetic polymers. We obtain for relevant reactions (small reaction distances) a model with good predictive power (R2 ∼ 0.9 and mean absolute error of &lt; 3 kcal/mol). As the inference speed is high, this model enables evaluations of dozens of chemical situations within seconds. When combined with molecular dynamics in a kinetic Monte-Carlo scheme, the model paves the way toward reactive simulations.
DOI: 10.25345/c53x83x04
title: MassIVE MSV000093592 - Neuronal_Notch_Exosome_YZWang_2023_Cell_Reports
title: Summary Extracellular vesicles (EVs) facilitate intercellular communication by transferring cargo between cells in a variety of tissues. However, how EVs achieve cell type-specific intercellular communication is still largely unknown. We found that Notch1 and Notch2 proteins are expressed on the surface of neuronal EVs that have been generated in response to neuronal excitatory synaptic activity. Notch ligands bind these EVs on the neuronal plasma membrane, trigger their internalization, activate the Notch signaling pathway, and drive the expression of Notch target genes. The generation of these neuronal EVs requires the ESCRT-associated protein Alix. Adult Alix conditional knockout mice have reduced hippocampal Notch signaling activation and glutamatergic synaptic protein expression. Thus, EVs facilitate neuron to neuron communication via the Notch receptor-ligand system in the brain.
DOI: 10.5281/zenodo.10278712
title: Phosphoproteomics of NLRC4 KO mice and wild-type littermates

description: Raw sequencing data of phosphoproteomics of NLRC4 KO mice and wild-type littermates
DOI: 10.5281/zenodo.10278997
title: Intensive male competition caused severity of trauma in female genital tracts predicts female reproductive success and longevity in strictly monandrous wolf spiders

description: This is the raw data for the manuscript of Dr. Shichang Zhang from Hubei University entitled: Intensive male competition caused severity of trauma in female genital tracts predicts female reproductive success and longevity in strictly monandrous wolf spiders.
DOI: 10.5281/zenodo.10278996
title: Intensive male competition caused severity of trauma in female genital tracts predicts female reproductive success and longevity in strictly monandrous wolf spiders

description: This is the raw data for the manuscript of Dr. Shichang Zhang from Hubei University entitled: Intensive male competition caused severity of trauma in female genital tracts predicts female reproductive success and longevity in strictly monandrous wolf spiders.
DOI: 10.6084/m9.figshare.24762267
title: Supplementary Material for: In-center Automated Peritoneal Dialysis: Clinical Features, Practice Patterns, and Patient Survival From a 6-year Cohort Study in China

description: Introduction: In-center automated peritoneal dialysis (APD) has been more frequently adopted in clinical practice for maintenance PD patients in China. For a better understanding of its clinical uptake, this retrospective study reviewed incident PD patients for a period of 6 years, investigating the practice pattern of in-center APD, factors associated with the use of in-center APD, and report on the patient survival compared to the non-users of APD among hospitalised PD patients.
Methods: This was a cohort study of all incident PD patients who met the inclusion criteria from 2013/01/01 to 2018/09/30, and were followed until death, cessation of PD, loss to follow-up, or 2018/12/31. Clinical characteristics, patient outcomes, and detailed data on APD sessions were recorded. We used time-dependent Cox model to estimate the variables associated with the initiation of in-center APD, and marginal structural model through inverse probability weighting to adjust for time-varying APD use on the causal pathway to all-cause mortality.
Results: A total of 651 subjects over 17501 patient-months were enrolled. Of these, 633 (97.2%) PD patients were hospitalised at least once during follow-up, and 369 (56.7%) received in-center APD at a certain point, and the timing of APD use during the first 3 months, first year and first 2 years since PD inception were 14.8%, 45.4% and 74.8%, respectively. A total of 12553 in-center APD sessions were recorded, where 85.9% used 4 bags of 5L-exchanges per prescription. Time-dependent Cox model showed that diabetes (hazard ratio [HR], 1.39, 95% confidence interval [CI], 1.09−1.76), urine output (HR 0.80, 95% CI 0.70-0.92), serum albumin (HR 0.84, 95%CI 0.72-0.99), hemoglobin (HR 0.88, 95%CI 0.77-0.99), and Ca×P (HR 1.19, 95%CI 1.06-1.35) were significantly associated with in-center APD use. Among all hospitalised PD patients, the estimated hazard ratio corresponding to the marginal causal effect of in-center APD use on all-cause mortality is 0.13 (95% CI 0.05–0.31, P&lt;0.001). Significant survival benefit (adjusted-HR 0.56, 95%CI 0.33-0.95) associated with starting APD after the first PD year was observed among in-center APD users.
Conclusions: In-center APD is used intensively during the first 2 years of PD and is associated with certain clinical features. Over all a significant survival benefit of in-center APD use was observed.
DOI: 10.6084/m9.figshare.24762267.v1
title: Supplementary Material for: In-center Automated Peritoneal Dialysis: Clinical Features, Practice Patterns, and Patient Survival From a 6-year Cohort Study in China

description: Introduction: In-center automated peritoneal dialysis (APD) has been more frequently adopted in clinical practice for maintenance PD patients in China. For a better understanding of its clinical uptake, this retrospective study reviewed incident PD patients for a period of 6 years, investigating the practice pattern of in-center APD, factors associated with the use of in-center APD, and report on the patient survival compared to the non-users of APD among hospitalised PD patients.
Methods: This was a cohort study of all incident PD patients who met the inclusion criteria from 2013/01/01 to 2018/09/30, and were followed until death, cessation of PD, loss to follow-up, or 2018/12/31. Clinical characteristics, patient outcomes, and detailed data on APD sessions were recorded. We used time-dependent Cox model to estimate the variables associated with the initiation of in-center APD, and marginal structural model through inverse probability weighting to adjust for time-varying APD use on the causal pathway to all-cause mortality.
Results: A total of 651 subjects over 17501 patient-months were enrolled. Of these, 633 (97.2%) PD patients were hospitalised at least once during follow-up, and 369 (56.7%) received in-center APD at a certain point, and the timing of APD use during the first 3 months, first year and first 2 years since PD inception were 14.8%, 45.4% and 74.8%, respectively. A total of 12553 in-center APD sessions were recorded, where 85.9% used 4 bags of 5L-exchanges per prescription. Time-dependent Cox model showed that diabetes (hazard ratio [HR], 1.39, 95% confidence interval [CI], 1.09−1.76), urine output (HR 0.80, 95% CI 0.70-0.92), serum albumin (HR 0.84, 95%CI 0.72-0.99), hemoglobin (HR 0.88, 95%CI 0.77-0.99), and Ca×P (HR 1.19, 95%CI 1.06-1.35) were significantly associated with in-center APD use. Among all hospitalised PD patients, the estimated hazard ratio corresponding to the marginal causal effect of in-center APD use on all-cause mortality is 0.13 (95% CI 0.05–0.31, P&lt;0.001). Significant survival benefit (adjusted-HR 0.56, 95%CI 0.33-0.95) associated with starting APD after the first PD year was observed among in-center APD users.
Conclusions: In-center APD is used intensively during the first 2 years of PD and is associated with certain clinical features. Over all a significant survival benefit of in-center APD use was observed.
DOI: 10.6084/m9.figshare.24762246.v1
title: Raw data tilapia market

description: The data file provide raw data of antimicrobial resistance both phenotype and genotype among different sample types from Nile tilapia
DOI: 10.5281/zenodo.10279314
title: CONDITIONS FOR THE FORMATION OF STUDENTS' COGNITIVE INTERESTS.
DOI: 10.5281/zenodo.10279315
title: CONDITIONS FOR THE FORMATION OF STUDENTS' COGNITIVE INTERESTS.
DOI: 10.6084/m9.figshare.24762246
title: Raw data tilapia market

description: The data file provide raw data of antimicrobial resistance both phenotype and genotype among different sample types from Nile tilapia
DOI: 10.6084/m9.figshare.24762246.v2
title: Raw data tilapia market

description: The data file provide raw data of antimicrobial resistance both phenotype and genotype among different sample types from Nile tilapia
DOI: 10.5281/zenodo.10279335
title: АКТИВИЗАЦИЯ ПОЗНАВАТЕЛЬНОГО ИНТЕРЕСА УЧАЩИХСЯ К МАТЕМАТИКЕ В СРЕДНЕЙ ШКОЛЕ.
DOI: 10.5281/zenodo.10279336
title: АКТИВИЗАЦИЯ ПОЗНАВАТЕЛЬНОГО ИНТЕРЕСА УЧАЩИХСЯ К МАТЕМАТИКЕ В СРЕДНЕЙ ШКОЛЕ.
DOI: 10.5281/zenodo.10279337
title: INDUSTRIAL ECONOMY IN OUR COUNTRY AND ITS PECULIARITIES IN ECONOMIC DEVELOPMENT.
DOI: 10.5281/zenodo.10279338
title: INDUSTRIAL ECONOMY IN OUR COUNTRY AND ITS PECULIARITIES IN ECONOMIC DEVELOPMENT.
DOI: 10.5281/zenodo.10253412
title: Solar-induced chlorophyll fluorescence study in Bibai Wetland

description: #SIF study in Bibai Wetland
The data utilized in the investigation carried out by Buareal et al.,
titled "Solar-induced chlorophyll fluorescence as a potential proxy for gross primary production and methane emission in a cool-temperate bog in northern Japan," comprised:
a. Solar-induced chlorophyll fluorescence (SIF)
b. Eddy flux data and meteorological measurements (specifically FCh4, GPP, Ta, Ts, VPD, Water table depth, Soil water content, and PPFD) obtained from Bibai Mire, a cool-temperate bog in Japan.
DOI: 10.5281/zenodo.10253413
title: Solar-induced chlorophyll fluorescence study in Bibai Wetland

description: #SIF study in Bibai Wetland
The data utilized in the investigation carried out by Buareal et al.,
titled "Solar-induced chlorophyll fluorescence as a potential proxy for gross primary production and methane emission in a cool-temperate bog in northern Japan," comprised:
a. Solar-induced chlorophyll fluorescence (SIF)
b. Eddy flux data and meteorological measurements (specifically FCh4, GPP, Ta, Ts, VPD, Water table depth, Soil water content, and PPFD) obtained from Bibai Mire, a cool-temperate bog in Japan.
DOI: 10.21227/ka9d-yn28
title: DBSAM

description: UTERUS: The uterus dataset (Huang et al. 2021) collected from the treatment device HIFU Pro2008 of Shenzhen ProHuiren Company. The dataset comprises 495 HIFU treatment ultrasound monitoring images of uterus, with 330 images randomly selected for training, 50 images for validating and 115 images for testing. The target region for treatment is the tumor region in the ultrasound image, as marked by professional doctors, and the image size is 448×544 pixels.BUSI: The breast ultrasound dataset consists of 780 images with pixel-wise breast cancer annotations (Al-Dhabyani et al. 2020). The dataset was collected from two different kinds of ultrasonic imaging devices, including LOGIQ E9 and LOGIQ E9 Agile. BUSI includes three classes of breast cases: 487 for benign, 210 for malignant, and 133 for normal. All images are preprocessed by (Al-Dhabyani et al. 2020). In the experiments in this paper, we used only benign and malignant, with a total of 647 images.BUSC: The Mendeley (Paulo Sergio Rodrigues, 2017) ultrasound dataset includes 100 benign images and 150 malignant cancer images. The original resolution of ultrasound images is 64×64 pixels, later transformed to 128×128 pixels. The dataset is basically classification-based, and no ground truth images are provided. Therefore, with the help of an experienced radiologist, benign and malignant tumor images are annotated for the model training process. BUS: The UDIAT dataset was collected at the UDIAT Diagnostic Centre of the Parc Tauli Corporation, Sabadell, Spain, using a Siemens ACUSON scanner. The dataset contains 163 US images: 109 benign and 54 malignant cases, with only one lesion per image.STU: The dataset, comprising 42 breast ultrasound images from the Hospital of Shantou University, is relatively small. Despite its limited size, it shares the same segmentation object as BUSI. Consequently, we designate this dataset as the unseen test set to assess the generalization ability of various models.DDTI: The thyroid nodule dataset contains 637 ultrasound images with pixel-wise thyroid nodule annotations (Pedraza et al. 2015). DDTI was collected from two different kinds of ultrasonic imaging devices, including TOSHIBA Nemio 30 and TOSHIBA Nemio MX. We adopt the data pre-processed by (Gong et al. 2023). TN3K: The dataset comprises 3493 ultrasound images meticulously annotated for thyroid nodules at Zhujiang Hospital, South Medical University. Following Gong et al.'s methodology, the TN3K dataset is partitioned into subsets of 2303, 576, and 614 images for training, validation, and testing, respectively. In this paper, we utilize only 614 test images as an unseen dataset to evaluate all the foundation models.
DOI: 10.5281/zenodo.10279353
title: К ВОПРОСУ О КИБЕРСЕТЕВОМ МИССИОНЕРСТВЕ И РЕЛИГИОЗНЫМ ФАКТОРЕ В КИБЕРПРОСТРАНСТВЕ
DOI: 10.5281/zenodo.10279354
title: К ВОПРОСУ О КИБЕРСЕТЕВОМ МИССИОНЕРСТВЕ И РЕЛИГИОЗНЫМ ФАКТОРЕ В КИБЕРПРОСТРАНСТВЕ
DOI: 10.5281/zenodo.10279308
title: Early Neoproterozoic intra-oceanic subduction initiation preserved in the Yangtze Craton: Evidence from forearc basalts, boninites and high-Mg andesites in the South Kongling Complex
DOI: 10.5281/zenodo.10279309
title: Early Neoproterozoic intra-oceanic subduction initiation preserved in the Yangtze Craton: Evidence from forearc basalts, boninites and high-Mg andesites in the South Kongling Complex
DOI: 10.5281/zenodo.10279368
title: FRANSUZ TILI TERMINOLOGIYASINING ONOMASTIK XUSUSIYATLARI TO'G'RISIDA
DOI: 10.5281/zenodo.10279369
title: FRANSUZ TILI TERMINOLOGIYASINING ONOMASTIK XUSUSIYATLARI TO'G'RISIDA
DOI: 10.5281/zenodo.10279379
title: TALABALARDA MILLIY IFTIXOR TUYG'USINI SHAKLLANTIRISHNING IJTIMOIY XARAKTERI
DOI: 10.5281/zenodo.10279378
title: TALABALARDA MILLIY IFTIXOR TUYG'USINI SHAKLLANTIRISHNING IJTIMOIY XARAKTERI
DOI: 10.5281/zenodo.10279387
title: SOCIO-PHILOSOPHICAL  IDEA  OF PATRIOTISM IN THE SYSTEM OF EDUCATION OF THE YOUNG GENERATION
DOI: 10.5281/zenodo.10279388
title: SOCIO-PHILOSOPHICAL  IDEA  OF PATRIOTISM IN THE SYSTEM OF EDUCATION OF THE YOUNG GENERATION
DOI: 10.5281/zenodo.10279409
title: TEACHING A LANGUAGE FROM AN EARLY AGE.    DOUBTS ABOUT TEACHING A FOREIGN LANGUAGE TO BABIES
DOI: 10.5281/zenodo.10279410
title: TEACHING A LANGUAGE FROM AN EARLY AGE.    DOUBTS ABOUT TEACHING A FOREIGN LANGUAGE TO BABIES
DOI: 10.5281/zenodo.10279417
title: HISTORY OF THE IMPROVEMENT SYSTEM OF TRAINING SPECIALISTS FOR THE FIELD OF COMMUNICATIONS IN UZBEKISTAN IN THE YEARS OF INDEPENDENCE
DOI: 10.5281/zenodo.10279416
title: HISTORY OF THE IMPROVEMENT SYSTEM OF TRAINING SPECIALISTS FOR THE FIELD OF COMMUNICATIONS IN UZBEKISTAN IN THE YEARS OF INDEPENDENCE
DOI: 10.25442/hku.24760623
title: Visible-to-shortwave-infrared remote sensing data from WolrdView satellites for the El Tatio hydrothermal fields in Chile

description: The WorldView data in this dataset were used to conduct compositional remote sensing analysis of the El Tatio hydrothermal fields in Chile.
DOI: 10.25442/hku.24760623.v1
title: Visible-to-shortwave-infrared remote sensing data from WolrdView satellites for the El Tatio hydrothermal fields in Chile

description: The WorldView data in this dataset were used to conduct compositional remote sensing analysis of the El Tatio hydrothermal fields in Chile.
DOI: 10.6084/m9.figshare.23552109
title: Dataset and Codes for Review and Download

description: This provides a dataset created by Protege to support review and download. It prepares two knowledge graphs (KGs) and related knowledge in accordance with autonomous driving levels (L2 & L3) to generate two KG versions.Furthermore, data processing and siamese-based GCN model codes are attached to align these two asymmetric KGs.
DOI: 10.6084/m9.figshare.23552109.v3
title: Dataset and Codes for Review and Download

description: This provides a dataset created by Protege to support review and download. It prepares two knowledge graphs (KGs) and related knowledge in accordance with autonomous driving levels (L2 & L3) to generate two KG versions.Furthermore, data processing and siamese-based GCN model codes are attached to align these two asymmetric KGs.
DOI: 10.6084/m9.figshare.23552109.v4
title: Dataset and Codes for Review and Download

description: This provides a dataset created by Protege to support review and download. It prepares two knowledge graphs (KGs) and related knowledge in accordance with autonomous driving levels (L2 & L3) to generate two KG versions.Furthermore, data processing and siamese-based GCN model codes are attached to align these two asymmetric KGs.
DOI: 10.25442/hku.24760650
title: XRD, ASD, and FTIR data of the silica sinters from Puchuldiza-Tuja hydrothermal fields in Chile

description: This dataset includes the XRD, ASD, and FTIR data of the silica sinters from Puchuldiza-Tuja hydrothermal fields in Chile.
DOI: 10.25442/hku.24760650.v1
title: XRD, ASD, and FTIR data of the silica sinters from Puchuldiza-Tuja hydrothermal fields in Chile

description: This dataset includes the XRD, ASD, and FTIR data of the silica sinters from Puchuldiza-Tuja hydrothermal fields in Chile.
DOI: 10.6084/m9.figshare.24761472
title: iTTCA-MVL

description: iTTCA-MVL: A multi-view learning model based on physicochemical information and sequence statistical information for tumor T cell antigens identification