cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25625/gzrpih/rd4zzd
title: indofrag.data.frag.nlsi.2003.tif

description: :unav
DOI: 10.25625/gzrpih/mvhjxa
title: indofrag.data.frag.cai_cv_3.2002.tif

description: :unav
DOI: 10.25625/gzrpih/1nbujt
title: indofrag.data.frag.nlsi.2001.tif

description: :unav
DOI: 10.25625/gzrpih/snobme
title: indofrag.data.frag.cai_mn_3.2000.tif

description: :unav
DOI: 10.25625/gzrpih/7d3bsc
title: indofrag.data.frag.nlsi.2006.tif

description: :unav
DOI: 10.25625/gzrpih/grj4mp
title: indofrag.data.frag.pafrac.2006.tif

description: :unav
DOI: 10.25625/gzrpih/b7wmbs
title: indofrag.data.frag.cai_am_3.2009.tif

description: :unav
DOI: 10.25625/gzrpih/zq6yq0
title: indofrag.data.frag.nlsi.2009.tif

description: :unav
DOI: 10.25625/gzrpih/qpm6eo
title: indofrag.data.frag.cai_cv_3.2006.tif

description: :unav
DOI: 10.25625/gzrpih/9vhe5x
title: indofrag.data.frag.clumpy.2009.tif

description: :unav
DOI: 10.25625/gzrpih/l0sftp
title: indofrag.data.frag.cai_am_3.2002.tif

description: :unav
DOI: 10.25625/gzrpih/aa7e9d
title: indofrag.data.frag.cai_mn_3.2016.tif

description: :unav
DOI: 10.25625/gzrpih/tg4qcq
title: indofrag.data.frag.cai_am_3.2004.tif

description: :unav
DOI: 10.25625/gzrpih/ussxfp
title: indofrag.data.frag.pafrac.2019.tif

description: :unav
DOI: 10.25625/gzrpih/z2shgz
title: indofrag.data.frag.clumpy.2016.tif

description: :unav
DOI: 10.25625/gzrpih/q41c7v
title: indofrag.data.frag.pafrac.2005.tif

description: :unav
DOI: 10.25625/gzrpih
title: Forest Fragmentation in South East Asia

description: Forest Fragmentation indices for South East Asia: A spatial raster representation of forest fragmentation indices. The entire study area is divided into rectangular grid cells with an edge length of 5 arc minutes (approximately 9 × 9 km). The forest cover data is obtained from the Global Forest Change data base (Hansen et al., 2013). Combining the initial forest cover raster maps and the yearly forest loss raster maps serve to derive yearly measures of fragmentation for each grid cell with the landscapemetrics package (Hesselbarth et al., 2019) in R 3.6 (R Core Team, 2020), which implements the calculation of landscape metrics from the widely employed FRAGSTATS software (McGarigal et al., 2002). The fragmentation metrics calculated are the perimeter-area fractal dimension (PAFRAC), the mean of the core area index (CAI_MN), the area-weighted mean of the core area index (CAI_AM), the coefficient of variation of the core area index (CAI_CV), clumpiness index (CLUMPY), and the normalized landscape shape index (nLSI).
DOI: 10.25625/gzrpih/qe57gt
title: indofrag.data.frag.cai_cv_3.2011.tif

description: :unav
DOI: 10.5281/zenodo.8087888
title: Recent tectonic activity in and around the Posidonius crater, Moon.

description: The shapefiles and .scc files of the manuscript: "Recent tectonic activity in and around the Posidonius crater, Moon."
DOI: 10.5281/zenodo.8087889
title: Recent tectonic activity in and around the Posidonius crater, Moon.

description: The shapefiles and .scc files of the manuscript: "Recent tectonic activity in and around the Posidonius crater, Moon."
DOI: 10.5281/zenodo.8378699
title: Recent tectonic activity in and around the Posidonius crater, Moon.

description: The shapefiles and .scc files of the manuscript: "Recent tectonic activity in and around the Posidonius crater, Moon."
DOI: 10.25625/gmdddy
title: Forest outcomes in Indonesia at the district level (2001-2022)

description: Yearly forest outcomes between 2001-2022 for Indonesian districts, including yearly forest losses and initial forest cover. Based on Hansen's (2013) Global Forest Cover data set.
DOI: 10.6084/m9.figshare.23814942
title: Data

description: The civil aviation transport due to the closed environment inevitable is an important route for the global spread of respiratory diseases. In order to reduce the probability of infection of passengers, an improved wells-reily model for cabin passenger risk assessment have been given in this work, the cabin ventilation and passenger nose and mouth orientation were considered and the effectiveness of the model was verified with published data. And the association between load factor, empty seat use scheme and the number of infected people were finally discussed. The results show the number of infected people is positively correlated with the passenger load factor, and the most suitable load factor can be determined by controlling the final number of infected people with the condition of the epidemic situation in the departure city. The results also show passengers in the window position are less likely to be infected than in the aisle position, and the empty seats are arranged in the aisle can reduce the probability of infection by up to 9.11%. By using the model, the airlines can seek the full load factor threshold and seat use scheme to improve economic benefits and reduce the probability of infection of passengers.
DOI: 10.6084/m9.figshare.23814942.v5
title: Data

description: The civil aviation transport due to the closed environment inevitable is an important route for the global spread of respiratory diseases. In order to reduce the probability of infection of passengers, an improved wells-reily model for cabin passenger risk assessment have been given in this work, the cabin ventilation and passenger nose and mouth orientation were considered and the effectiveness of the model was verified with published data. And the association between load factor, empty seat use scheme and the number of infected people were finally discussed. The results show the number of infected people is positively correlated with the passenger load factor, and the most suitable load factor can be determined by controlling the final number of infected people with the condition of the epidemic situation in the departure city. The results also show passengers in the window position are less likely to be infected than in the aisle position, and the empty seats are arranged in the aisle can reduce the probability of infection by up to 9.11%. By using the model, the airlines can seek the full load factor threshold and seat use scheme to improve economic benefits and reduce the probability of infection of passengers.
DOI: 10.6084/m9.figshare.23814942.v4
title: Data

description: The civil aviation transport due to the closed environment inevitable is an important route for the global spread of respiratory diseases. In order to reduce the probability of infection of passengers, an improved wells-reily model for cabin passenger risk assessment have been given in this work, the cabin ventilation and passenger nose and mouth orientation were considered and the effectiveness of the model was verified with published data. And the association between load factor, empty seat use scheme and the number of infected people were finally discussed. The results show the number of infected people is positively correlated with the passenger load factor, and the most suitable load factor can be determined by controlling the final number of infected people with the condition of the epidemic situation in the departure city. The results also show passengers in the window position are less likely to be infected than in the aisle position, and the empty seats are arranged in the aisle can reduce the probability of infection by up to 9.11%. By using the model, the airlines can seek the full load factor threshold and seat use scheme to improve economic benefits and reduce the probability of infection of passengers.
DOI: 10.6084/m9.figshare.24203463
title: Data set

description: Data Set
DOI: 10.26179/1bcn-e852
title: Detailed Notes on Accumulation/Movement Markers, Mirny-Dome C
DOI: 10.26179/kamq-e116
title: Inclinometer and Temperature Readings From Ice Core Borehole BHD, Law Dome, 1977
DOI: 10.6084/m9.figshare.24203538
title: Supplementary Material for: Association between Triglyceride-Glucose Index and 1-year Recurrent Stroke after Acute Ischemic Stroke: Results from the Xi’an Stroke Registry Study of China

description: Introduction: The triglyceride-glucose (TyG) index is reported to be related to poor functional outcomes and all-cause mortality post-stroke. However, the association between TyG index and recurrent stroke after acute ischemic stroke (AIS) has not been well described. We aimed to identify whether the TyG index was associated with 1-year recurrent stroke after AIS. Methods: Baseline patient information was collected at admission, and the TyG index was calculated. Recurrent stroke events were followed up at 1, 3, 6, and 12 months after diagnosis. We then examined the association between the TyG index and risk of 1-year recurrent stroke using multivariable Cox regression models and restricted cubic spline analyses. Results: Among 2,288 participants, the mean TyG index was 8.8  0.7. Those in the fourth quartile (Q4) demonstrated higher recurrent stroke risk than those in Q1 (adjusted hazard ratio [HR] = 1.63; 95% confidence interval [CI], 0.98–2.72; p = 0.059). Subgroup analysis revealed a sex-specific association between TyG index and recurrent stroke (p for interaction = 0.022). Additionally, restricted cubic splines analyses showed a non-linear association between the TyG index and 1-year recurrent stroke. In females, patients in the Q4 had a 2.95-fold increased recurrent stroke risk than did patients in the Q1 (adjusted HR =2.95; 95% CI, 1.09–7.94; p = 0.032); the risk increased when the TyG index was &gt; 8.73. However, no significant correlation was observed in males. Conclusion: A non-linear association was found between the TyG index and 1-year recurrent stroke risk. Subsequently, a high TyG index could predict an increased 1-year recurrent stroke risk in female AIS patients.
DOI: 10.3886/e183003v1-141822
title: Effects of Relative Deprivation on Change in Displaced Aggression and the Underlying Motivation Mechanism: A Three-Wave Cross-Lagged Analysis

description: The predictive effect of relative deprivation on displaced aggression and its potential mechanism.
description: Presence of Common Scales: Personal Relative Deprivation Scale-Revised (PRDS-R; Callan et al., 2011)<br>The hostile attribution bias subscale of the Word Sentence Association Paradigm for Hostility (WSAP-Hostility; Dillon et al., 2016)<br>Civic Moral Disengagement Questionnaire (CMDQ; Caprara et al., 2009)<br>The subscale of the Displaced Aggression Questionnaire (DAQ; Denson et al., 2006) <br><br>
description: University students
DOI: 10.5281/zenodo.8382150
title: Decline in Iran's Groundwater Recharge

description: Iran's groundwater data
DOI: 10.5281/zenodo.8382149
title: Decline in Iran's Groundwater Recharge

description: Iran's groundwater data
DOI: 10.15151/esrf-es-1316405471
title: USAXS measurements of triglycerides

description: Measurements of triglycerides from food industry, at the lowest available q for mesostructure refining.
DOI: 10.15151/esrf-es-1340122848
title: KB realignment and X-ray holographic nanotomography of carbon composite

description: KB realignment and X-ray holographic nanotomography of carbon composite
DOI: 10.6084/m9.figshare.24203640
title: Supplementary Table.docx

description: Literature reporting myxedema coma due to primary hypothyroidism from 1999 to 2022.
DOI: 10.6084/m9.figshare.24203640.v1
title: Supplementary Table.docx

description: Literature reporting myxedema coma due to primary hypothyroidism from 1999 to 2022.
DOI: 10.26179/wgtd-4j02
title: Casey Ice Coring Program - Operations and Data Report, 1979
DOI: 10.6084/m9.figshare.24203562
title: circRNA-Counts.xlsx

description: mRNA, miRNA, lncRNA, circRNA -sequencing raw data
DOI: 10.6084/m9.figshare.24203661
title: MKronRLSF-LP

description: None
DOI: 10.57745/evzuqo
title: Notice_ Temperate_Agroforestry_Nitrification.pdf

description: :unav
DOI: 10.57745/t1hvid
title: DataBase_Temperate_Agroforestry_Nitrification.tab

description: This database is linked to the article “Influence of two agroforestry systems on the nitrification potential in temperate pastures in Brittany, France” by Mettauer et al. (accepted). It is composed of one csv file. Dot is used as decimal.
DOI: 10.26179/bjzq-ec94
title: Barometric Levelling over IAGP trilateration net, Wilkes Land 1973
DOI: 10.5281/zenodo.8112214
title: LML-Learning Meta-Learning Dataset

description: The LML dataset presented in this paper contains both categorical and continuous data for 7 meta-learning parameters: age, gender, degree of illusion of competence, sleep duration, chronotype, experience of imposter phenomenon and multiple intelligence. Convenience sampling and simple random sampling method are used to structure the volunteered anonymous online survey data collection project for LML dataset creation. Survey questionnaires are set to explore adult learners' (age over 16) meta-learning parameters. The responses from the 54 survey questionnaires contains raw data from 1025 current university students from 11 universities of Bangladesh. Mean and standard deviation for the participant's baseline attributes are given for scale parameters, and frequency and percentage are calculated for categorical parameters. Academic curriculum, courses as well as professional training materials can be reviewed and re-designed with focusing on the diversity of learners. How the designed courses will be learned by learners along with how they will be taught is a significant point for education in any discipline. As the survey questionnaires are set for adult learners and only current university students have participated in this survey, this dataset is appropriate for study andragogy and heutagogy but pedagogy. Ethics statements Ethical approval (Involvement of Human Subjects) were obtained from the Biosafety, Biosecurity and Ethical Clearance Committee, Jahangirnagar University. The dataset presented in this article is open for public access. It is mandatory to follow the correct citation guidelines when using this LML dataset. Credit author statement Sonia Corraya: Conceptualization, Methodology, Data curation, Visualization, Writing – original draft; Professor Shamim Al Mamun: Supervision; Professor M. Shamim Kaiser: Supervision. This dataset belongs to Authors, Institute of Information Technology, Jahangirnagar University, savar, Dhaka-1342, Bangladesh.
DOI: 10.5281/zenodo.8152305
title: LML-Learning Meta-Learning Dataset_update version

description: The LML dataset presented in this paper contains both categorical and continuous data for 7 meta-learning parameters: age, gender, degree of illusion of competence, sleep duration, chronotype, experience of imposter phenomenon and multiple intelligence. Convenience sampling and simple random sampling method are used to structure the volunteered anonymous online survey data collection project for LML dataset creation. Survey questionnaires are set to explore adult learners' (age over 16) meta-learning parameters. The responses from the 54 survey questionnaires contains raw data from 1025 current university students from 11 universities of Bangladesh. Mean and standard deviation for the participant's baseline attributes are given for scale parameters, and frequency and percentage are calculated for categorical parameters. Academic curriculum, courses as well as professional training materials can be reviewed and re-designed with focusing on the diversity of learners. How the designed courses will be learned by learners along with how they will be taught is a significant point for education in any discipline. As the survey questionnaires are set for adult learners and only current university students have participated in this survey, this dataset is appropriate for study andragogy and heutagogy but pedagogy. Ethics statements Ethical approval (Involvement of Human Subjects) were obtained from the Biosafety, Biosecurity and Ethical Clearance Committee, Jahangirnagar University. The dataset presented in this article is open for public access. It is mandatory to follow the correct citation guidelines when using this LML dataset. Credit author statement Sonia Corraya: Conceptualization, Methodology, Data curation, Visualization, Writing – original draft; Professor Shamim Al Mamun: Supervision; Professor M. Shamim Kaiser: Supervision. This dataset belongs to Authors, Institute of Information Technology, Jahangirnagar University, savar, Dhaka-1342, Bangladesh.
DOI: 10.5281/zenodo.8264088
title: LML-Learning Meta-Learning Dataset_update version

description: The LML dataset presented in this paper contains both categorical and continuous data for 7 meta-learning parameters: age, gender, degree of illusion of competence, sleep duration, chronotype, experience of imposter phenomenon and multiple intelligence. Convenience sampling and simple random sampling method are used to structure the volunteered anonymous online survey data collection project for LML dataset creation. Survey questionnaires are set to explore adult learners' (age over 16) meta-learning parameters. The responses from the 54 survey questionnaires contains raw data from 1025 current university students from 11 universities of Bangladesh. Mean and standard deviation for the participant's baseline attributes are given for scale parameters, and frequency and percentage are calculated for categorical parameters. Academic curriculum, courses as well as professional training materials can be reviewed and re-designed with focusing on the diversity of learners. How the designed courses will be learned by learners along with how they will be taught is a significant point for education in any discipline. As the survey questionnaires are set for adult learners and only current university students have participated in this survey, this dataset is appropriate for study andragogy and heutagogy but pedagogy. Ethics statements Ethical approval (Involvement of Human Subjects) were obtained from the Biosafety, Biosecurity and Ethical Clearance Committee, Jahangirnagar University. The dataset presented in this article is open for public access. It is mandatory to follow the correct citation guidelines when using this LML dataset. Credit author statement Sonia Corraya: Conceptualization, Methodology, Data curation, Visualization, Writing – original draft; Professor Shamim Al Mamun: Supervision; Professor M. Shamim Kaiser: Supervision. This dataset belongs to Authors, Institute of Information Technology, Jahangirnagar University, savar, Dhaka-1342, Bangladesh.
DOI: 10.5281/zenodo.8382187
title: LML-Learning Meta-Learning Dataset_update version

description: The LML dataset presented in this paper contains both categorical and continuous data for 7 meta-learning parameters: age, gender, degree of illusion of competence, sleep duration, chronotype, experience of imposter phenomenon and multiple intelligence. Convenience sampling and simple random sampling method are used to structure the volunteered anonymous online survey data collection project for LML dataset creation. Survey questionnaires are set to explore adult learners' (age over 18) meta-learning parameters. The responses from the 54 survey questionnaires contains raw data from 1021 current university students from 11 universities of Bangladesh. Mean and standard deviation for the participant's baseline attributes are given for scale parameters, and frequency and percentage are calculated for categorical parameters. Academic curriculum, courses as well as professional training materials can be reviewed and re-designed with focusing on the diversity of learners. How the designed courses will be learned by learners along with how they will be taught is a significant point for education in any discipline. As the survey questionnaires are set for adult learners and only current university students have participated in this survey, this dataset is appropriate for study andragogy and heutagogy but pedagogy. Ethics statements Ethical approval (Involvement of Human Subjects) were obtained from the Biosafety, Biosecurity and Ethical Clearance Committee, Jahangirnagar University (reference no. is BBEC,JU/M 2022/01 (18)). The dataset presented in this article is open for public access. It is mandatory to follow the correct citation guidelines when using this LML dataset. Credit author statement Sonia Corraya: Conceptualization, Methodology, Data curation, Visualization, Writing – original draft; Professor Shamim Al Mamun: Supervision; Professor M. Shamim Kaiser: Supervision. This dataset belongs to Authors, Institute of Information Technology, Jahangirnagar University, savar, Dhaka-1342, Bangladesh.
DOI: 10.6084/m9.figshare.24203757
title: Supplementary Material for: Two distinct characteristics of immune microenvironment in human hepatocellular carcinoma with Wnt/β-catenin mutations

description: Introduction Immunotherapy is becoming a promising approach for unresectable-hepatocellular carcinoma (HCC); the anti-tumor response is affected by the tumor microenvironment (TME). Although Wnt/β-catenin mutations are reported to cause non-inflamed phenotype, their role on TME remains controversial. We aimed to clarify the heterogeneity of immunophenotype in HCC with Wnt/β-catenin mutations. Methods This study includes 152 resected HCCs; mutations in the catenin beta-1, adenomatous polyposis coli, or AXIN1, or AXIN2 genes were defined as Wnt/β-catenin mutations. With hierarchical cluster analyses, TME were classified into inflamed or non-inflamed classes based on the gene expressions associated with T-cell activation. Expression profiles of molecules related to cell differentiation and biliary-stem cell markers were compared between the TME classes to investigate whether differences in tumor traits were associated with TME. Results Forty of 152 (26.3%) HCCs carried the Wnt/β-catenin mutations. Of these, 33 were classified as non-inflamed (33/40, 82.5%) and 7 as inflamed (7/40, 17.5%). Non-inflamed class was characterized by low number of CD3+, CD4+, and CD8+ cells on immunostaining, and high mRNA expressions of AXIN2 and GLUL, which are involved in the canonical Wnt/β-catenin signaling and hepatocyte differentiation, respectively. Non-inflamed tumors showed higher enhancement on the hepatobiliary-phase of gadolinium-ethoxybenzyl-diethylenetriamine (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) compared to inflamed tumors. HCCs classified as inflamed class are revealed to have high numbers of CD3+, CD4+, and CD8+ tumor infiltrating lymphocytes on immunostaining. This class is associated with increased expression of anti-epithelial cell adhesion molecule (EpCAM) and FOXM1 accompanied by upregulation of genes related to interferon-gamma signaling, dendritic cell migration, regulatory T cells and MDSC activation and recognized as low enhancement nodule on Gd-EOB-DTPA-enhanced MRI. Conclusion Heterogeneity of tumor traits and TME was observed in HCC with Wnt/β-catenin mutation. The potential was indicated that tumor traits and TME are determined not only by the activation of the HNF4A but also by FOXM1, both of which are downstream transcription factor of the Wnt/β-catenin signaling pathway.