cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/d21w00
title: Translocation of Coral-Dwelling Gobies and Habitat Factors - Papua New Guinea - 2018-2019

description: Habitat-specialist fishes often organize in social groups. We have yet to understand whether characteristics of their habitat influence their social decisions. Accordingly, we completed a manipulative in situ experiment using a coral-dwelling goby, which exclusively resides in acroporid corals. We translocated coral-dwelling gobies to new corals with different characteristics to determine whether habitat factors affect their social decisions. We altered habitat characteristics (i.e., habitat health, size and saturation) in order to test two key theories of sociality: ecological constraints, benefits-of-philopatry. Both theories have been extensively tested in terrestrial taxa, but only minimally in marine taxa.The data repository includes the R code and csv file with the dataset for the experiments.
DOI: 10.6084/m9.figshare.13352663
title: Familiarity-dependent computational modelling of indoor landmark selection for route communication: a ranking approach

description: These codes and data are aimed at computing suitable indoor landmarks for users of different familiarity. The descriptions of files are as follows:<b>rel_ranking_familiarity.py</b>: the source code to train models;<b>hyperparams</b>: this fold includes <i>lgbrank_familiar_best_params.csv</i> and <i>lgbrank_unfamiliar_best_params.csv </i>files, which store the hyperparameters for 17 fold cross_validation in the familiar datase and in the unfamiliar dataset, respectively;<b>17_fold_dataset</b>: this fold includes all the dataset for 1-_fold_cross_validation, in each fold <i>familiar_rank.train.query</i> and <i>familiar_rank.train</i> are for training in the familiar dataset,<i> unfamiliar_rank.train.query </i>and<i> unfamiliar_rank.train</i> are for training in the unfamiliar dataset, <i>familiar_rank.test.query </i>and <i>familiar_rank.test </i>are for testing in the familiar dataset,<i> unfamiliar_rank.test.query</i> and <i>unfamiliar_rank.test </i>are for testing in the unfamiliar dataset.<br><br>
DOI: 10.5281/zenodo.4954651
title: Breast Cancer - TNBC 2nd dataset

description: The breast cancer TNBC subtype used for deep learning model training from the paper entitled "High-Performance Deep Learning Pipeline Predicts Individuals in Mixtures of DNA Using Sequencing Data" which is submitted to Briefing in Bioinformatics journal.
DOI: 10.5281/zenodo.4954650
title: Breast Cancer - TNBC 2nd dataset

description: The breast cancer TNBC subtype used for deep learning model training from the paper entitled "High-Performance Deep Learning Pipeline Predicts Individuals in Mixtures of DNA Using Sequencing Data" which is submitted to Briefing in Bioinformatics journal.
DOI: 10.5445/ir/1000133907
title: Numerical experiments to "Error analysis of multirate leapfrog-type methods for second-order semilinear odes"

description: This code was used for the numerical experiments in the preprint (CRC Preprint 2021/26; URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-26.pdf) and in the paper "Error analysis of multirate leapfrog-type methods for second-order semilinear odes" by C. Carle and M. Hochbruck.
DOI: 10.6084/m9.figshare.14796567
title: Freshwater reserves for fisheries conservation and enhancement of a widespread migratory fish

description: Data used in Watson et al. 2021 Journal of Applied Ecology paper
DOI: 10.6084/m9.figshare.14796567.v1
title: Freshwater reserves for fisheries conservation and enhancement of a widespread migratory fish

description: Data used in Watson et al. 2021 Journal of Applied Ecology paper
DOI: 10.5281/zenodo.4775299
title: Use of hypnotic drugs among children, adolescents and young adults in Scandinavia

description: The dataset contains information about use of hypnotics in the Scandinavian countries, Denmark, Norway and Sweden. The categories of hypnotics described are: N05CH01 - Melatonine, N05CF* - Z drugs and R06AD* - H1 receptor antagonists. The dataset consists of 2 files: drug_use.csv census.csv Drug and census data were derived from the following national resources in the public domain: Drug statistics data: https://sdb.socialstyrelsen.se/if_lak/val.aspx (download date: 2020.06.15) http://www.norpd.no/ (download date: 2020.12.06) http://www.medstat.dk/ (download date: 2020.11.26) Census data: http://www.statistikdatabasen.scb.se (download date: 2020.06.12) https://www.ssb.no/ (download date: 2020.06.15) https://statistikbanken.dk (download date: 2020.06.12) The source data owners take no responsibily for interpretation or analysis of data performed by third parties. Source data owners should be attributed when data are used. Consult data owners websites for details about attribution. <strong>File descriptions:</strong> drug_use.csv This file contains aggregated information about the total number of unique users and the total amount of drug daily doses, by the categorical variables atc, year, country, sex and age. The categorical variables have the following valuesets country (DK, NO, SE, SC), SC means Scandinavia and includes DK, SE and NO<br> year (2012 - 2019)<br> age (5-9, 10-14, 15-19, 20-24, 5-24)<br> sex (M,F, MF), MF means Male and Female The variables prev_pr_1000 and ddd_pr_1000 are the results of dividing the variables n_users and ddd by the total population size (npop) in that country, year, agegroup and sex category. These census informations are also available in the census.csv file. Since ddd information is only available in Norway and Denmark, the ddd_pr_1000 for Scandinavia is based only on data from Denmark and Norway. The denominator for this calculation is in the variable called npop_excl_se.<br> census.csv This file contains census data for each country grouped by sex and age in one year intervals. Use this file if you want to calculate population denominators for alternative aggregations of data in the drug_use.csv file
DOI: 10.5281/zenodo.4775298
title: Use of hypnotic drugs among children, adolescents and young adults in Scandinavia

description: The dataset contains information about use of hypnotics in the Scandinavian countries, Denmark, Norway and Sweden. The categories of hypnotics described are: N05CH01 - Melatonine, N05CF* - Z drugs and R06AD* - H1 receptor antagonists. The dataset consists of 2 files: drug_use.csv census.csv Drug and census data were derived from the following national resources in the public domain: Drug statistics data: https://sdb.socialstyrelsen.se/if_lak/val.aspx (download date: 2020.06.15) http://www.norpd.no/ (download date: 2020.12.06) http://www.medstat.dk/ (download date: 2020.11.26) Census data: http://www.statistikdatabasen.scb.se (download date: 2020.06.12) https://www.ssb.no/ (download date: 2020.06.15) https://statistikbanken.dk (download date: 2020.06.12) The source data owners take no responsibily for interpretation or analysis of data performed by third parties. Source data owners should be attributed when data are used. Consult data owners websites for details about attribution. <strong>File descriptions:</strong> drug_use.csv This file contains aggregated information about the total number of unique users and the total amount of drug daily doses, by the categorical variables atc, year, country, sex and age. The categorical variables have the following valuesets country (DK, NO, SE, SC), SC means Scandinavia and includes DK, SE and NO<br> year (2012 - 2019)<br> age (5-9, 10-14, 15-19, 20-24, 5-24)<br> sex (M,F, MF), MF means Male and Female The variables prev_pr_1000 and ddd_pr_1000 are the results of dividing the variables n_users and ddd by the total population size (npop) in that country, year, agegroup and sex category. These census informations are also available in the census.csv file. Since ddd information is only available in Norway and Denmark, the ddd_pr_1000 for Scandinavia is based only on data from Denmark and Norway. The denominator for this calculation is in the variable called npop_excl_se.<br> census.csv This file contains census data for each country grouped by sex and age in one year intervals. Use this file if you want to calculate population denominators for alternative aggregations of data in the drug_use.csv file
DOI: 10.34810/data119/1
title: DATAPositiveImpact.tab

description: :unav
DOI: 10.34810/data119/2
title: Readme.txt

description: :unav
DOI: 10.34740/kaggle/dsv/2343660
title: Contrastive Language Image Pretraining by openai
DOI: 10.5281/zenodo.4950570
title: A dataset for tracking the activity, abundance, and wingbeat frequency of Bogong moths near Cabramurra, NSW in November 2019

description: This dataset contains images captured using wildlife cameras in a boulder field near Cabramurra, NSW in November 2019. The images contain motion blurs from insects (predominantly Bogong moths <em>Agrotis infusa</em>) flying past the cameras, allowing for the measurement of Bogong moth wingbeat frequency, activity, and abundance using the Camfi software (https://github.com/J-Wall/camfi). Flying insect motion blurs manual annotations are provided in the annotations json file. This can be opened using VGG Image annotator, and manipulated using Camfi.
description: A mistake was made when setting up camera 0004 resulting in the timestamps for all images from that camera being one month (31 days) behind.
DOI: 10.5281/zenodo.4950569
title: A dataset for tracking the activity, abundance, and wingbeat frequency of Bogong moths near Cabramurra, NSW in November 2019

description: This dataset contains images captured using wildlife cameras in a boulder field near Cabramurra, NSW in November 2019. The images contain motion blurs from insects (predominantly Bogong moths <em>Agrotis infusa</em>) flying past the cameras, allowing for the measurement of Bogong moth wingbeat frequency, activity, and abundance using the Camfi software (https://github.com/J-Wall/camfi). Flying insect motion blurs manual annotations are provided in the annotations json file. This can be opened using VGG Image annotator, and manipulated using Camfi.
description: A mistake was made when setting up camera 0004 resulting in the timestamps for all images from that camera being one month (31 days) behind.
DOI: 10.6084/m9.figshare.12863882
title: Effect of novel coronavirus disease 2019 infection on chronic kidney disease G1-G5, G5 Dialysis and G5 Transplantation

description: Dataset of research article entitled "Effect of novel coronavirus disease 2019 infection on chronic kidney disease G1-G5, G5 Dialysis and G5 Transplantation" is put on figshare repository.
DOI: 10.5517/ccdc.csd.cc1ltcnf
title: CCDC 1484145: Experimental Crystal Structure Determination

description: Related Article: Nicolas Vogt, Aaron Sandleben, Lukas Kletsch, Sascha Schäfer, Mason T. Chin, David A. Vicic, Gerald Hörner, Axel Klein|2021|Organometallics|40|1776|doi:10.1021/acs.organomet.1c00237
DOI: 10.5517/ccdc.csd.cc1z4lmb
title: CCDC 1821672: Experimental Crystal Structure Determination

description: Related Article: Nicolas Vogt|2018|CSD Communication|||
description: Related Article: Nicolas Vogt, Aaron Sandleben, Lukas Kletsch, Sascha Schäfer, Mason T. Chin, David A. Vicic, Gerald Hörner, Axel Klein|2021|Organometallics|40|1776|doi:10.1021/acs.organomet.1c00237
DOI: 10.5517/ccdc.csd.cc22z82f
title: CCDC 1935704: Experimental Crystal Structure Determination

description: Related Article: Julia O. Strelnikova, Alexander N. Koronatov, Nikolai V. Rostovskii, Alexander F. Khlebnikov, Olesya V. Khoroshilova, Mariya A. Kryukova, Mikhail S. Novikov|2021|Org.Lett.|23|4173|doi:10.1021/acs.orglett.1c01092
DOI: 10.5517/ccdc.csd.cc22z83g
title: CCDC 1935705: Experimental Crystal Structure Determination

description: Related Article: Julia O. Strelnikova, Alexander N. Koronatov, Nikolai V. Rostovskii, Alexander F. Khlebnikov, Olesya V. Khoroshilova, Mariya A. Kryukova, Mikhail S. Novikov|2021|Org.Lett.|23|4173|doi:10.1021/acs.orglett.1c01092
DOI: 10.5517/ccdc.csd.cc22z84h
title: CCDC 1935706: Experimental Crystal Structure Determination

description: Related Article: Julia O. Strelnikova, Alexander N. Koronatov, Nikolai V. Rostovskii, Alexander F. Khlebnikov, Olesya V. Khoroshilova, Mariya A. Kryukova, Mikhail S. Novikov|2021|Org.Lett.|23|4173|doi:10.1021/acs.orglett.1c01092
DOI: 10.5517/ccdc.csd.cc24f06t
title: CCDC 1978705: Experimental Crystal Structure Determination

description: Related Article: Dong-Xing Zhu, Jian-Guo Liu, Ming-Hua Xu|2021|J.Am.Chem.Soc.|143|8583|doi:10.1021/jacs.1c03498
description: Related Article: Dong-Xing Zhu, Hui Xia, Jian-Guo Liu, Lung Wa Chung, Ming-Hua Xu|2021|J.Am.Chem.Soc.|143|2608|doi:10.1021/jacs.0c13191
DOI: 10.5517/ccdc.csd.cc25jz8z
title: CCDC 2012311: Experimental Crystal Structure Determination

description: Related Article: Titouan Desrues, Xueyang Liu, Jean-Marc Pons, Valérie Monnier, Jean-Arthur Amalian, Laurence Charles, Adrien Quintard, Cyril Bressy|2021|Org.Lett.|23|4332|doi:10.1021/acs.orglett.1c01261
DOI: 10.5517/ccdc.csd.cc25jz5w
title: CCDC 2012308: Experimental Crystal Structure Determination

description: Related Article: Titouan Desrues, Xueyang Liu, Jean-Marc Pons, Valérie Monnier, Jean-Arthur Amalian, Laurence Charles, Adrien Quintard, Cyril Bressy|2021|Org.Lett.|23|4332|doi:10.1021/acs.orglett.1c01261
DOI: 10.5517/ccdc.csd.cc25v8jv
title: CCDC 2021247: Experimental Crystal Structure Determination

description: Related Article: Wendan Han, Yuanhang Li, Kaki Raveendra Babu, Jing Li, Yuhai Tang, Yong Wu, Silong Xu|2021|J.Org.Chem.|86|7832|doi:10.1021/acs.joc.1c00717
DOI: 10.5517/ccdc.csd.cc25z69p
title: CCDC 2025022: Experimental Crystal Structure Determination

description: Related Article: Tyler A. Gully, Karsten Sonnenberg, Julia Bader, Sebastian Riedel|2021|Inorg.Chem.|60|8093|doi:10.1021/acs.inorgchem.1c00706
DOI: 10.5517/ccdc.csd.cc25z6bq
title: CCDC 2025023: Experimental Crystal Structure Determination

description: Related Article: Tyler A. Gully, Karsten Sonnenberg, Julia Bader, Sebastian Riedel|2021|Inorg.Chem.|60|8093|doi:10.1021/acs.inorgchem.1c00706
DOI: 10.5517/ccdc.csd.cc25z6cr
title: CCDC 2025024: Experimental Crystal Structure Determination

description: Related Article: Tyler A. Gully, Karsten Sonnenberg, Julia Bader, Sebastian Riedel|2021|Inorg.Chem.|60|8093|doi:10.1021/acs.inorgchem.1c00706
DOI: 10.5517/ccdc.csd.cc25z6ds
title: CCDC 2025025: Experimental Crystal Structure Determination

description: Related Article: Tyler A. Gully, Karsten Sonnenberg, Julia Bader, Sebastian Riedel|2021|Inorg.Chem.|60|8093|doi:10.1021/acs.inorgchem.1c00706
DOI: 10.5517/ccdc.csd.cc25z6ft
title: CCDC 2025026: Experimental Crystal Structure Determination

description: Related Article: Tyler A. Gully, Karsten Sonnenberg, Julia Bader, Sebastian Riedel|2021|Inorg.Chem.|60|8093|doi:10.1021/acs.inorgchem.1c00706
DOI: 10.5517/ccdc.csd.cc25z6gv
title: CCDC 2025027: Experimental Crystal Structure Determination

description: Related Article: Tyler A. Gully, Karsten Sonnenberg, Julia Bader, Sebastian Riedel|2021|Inorg.Chem.|60|8093|doi:10.1021/acs.inorgchem.1c00706
DOI: 10.5517/ccdc.csd.cc25z6hw
title: CCDC 2025028: Experimental Crystal Structure Determination

description: Related Article: Tyler A. Gully, Karsten Sonnenberg, Julia Bader, Sebastian Riedel|2021|Inorg.Chem.|60|8093|doi:10.1021/acs.inorgchem.1c00706
DOI: 10.14457/tu.the.2019.1473
title: Japanese manga as intercultural media of the U.S. and Japan: a case study of Akira Toriyama’s Dragon Ball

description: The world has been bombarded with American popular culture. Since the year 2000, however, there has been a new challenge to U.S. popular culture called Manga (also known as Japanese comics). As a newcomer in the market, Japanese Manga has been so successful. Using Akira Toriyama’s Dragon Ball as a case study, this research investigates how Manga features create the culturally odorless imaginary territory in the U.S. readers’ minds and how they allow the cultures from the East and the West to co-exist, by. The research applies Barthes’s poststructuralist qualitative semiotic analysis and Fairclough’s three dimensions of CDA to analyze the visual and linguistic signs in Dragon Ball. The results indicate that there are numerous intertextual references s in Dragon Ball such as Hollywood, Hong Kong martial arts movies, Chinese and Japanese ideologies, Shintoism, Taoism, Buddhism, Christianity, and so on. This research offers a unique way to create a new body of knowledge from different disciplines, namely, applied linguistics, intercultural communications, and literary studies. Furthermore, it points out the importance of media artifacts in any cultural markets as being culturally odorless. Finally, it exemplifies the successful commercialization of cultural products by using the Manga Dragon Ball as a case study.
DOI: 10.14457/tu.the.2019.1474
title: The effect of task-based language teaching on improving speaking and listening skills of young Thai EFL learners

description: This mixed-methods research study aims to examine the effect of TBLT in teaching English speaking and listening skills on young Thai EFL learners. For this purpose, 60 students from Grade 1 were selected as the participants. The students were divided into 2 groups: the control group and the experimental group. The students in the experimental group were taught using task-based language teaching instructions, while the students in the control group received standard teaching technique. The findings of the study reveal that the post-test mean scores of both speaking and listening skills of the students from the experimental group were higher the mean scores of the students from the control group at the significance level .05. Also, the results within the experiment group show that there is a significant difference between the pre-test and post-test mean scores of both speaking and listening skills at the significant level .05. Moreover, the results from the observation show that TBLT lessons were practical and suitable for young EFL Thai learners in terms of lessons and activities, speaking and listening skills practice, and learning motivation. In addition, the interview results reveal positive perceptions of the teacher on TBLT implementation as it could promote communicative and meaningful classroom, as well as learning motivation. The findings of this study support the benefits of TBLT in teaching young EFL Thai learners the English speaking and listening skills
DOI: 10.14457/tu.the.2019.1475
title: Beliefs and behavioral patterns affecting intercultural willingness to communicate in English at workplace

description: Communication competency in English is one of the most desired capabilities in labor market in the present day. Observation from employees in a Japanese company showed that people behaved differently in cross cultural situations where, regardless of their English competency, some spoke confidently but some did not. Cause of such action may come from several factors including culture differences. This quantitative study is to investigate cultural factors influencing motivation and avoidance of 264 Thai employees who were working in an international-environment company. To find out their beliefs and behavioral patterns, a self-developed questionnaire that combined with three cultural factors thought affecting intercultural willingness to communicate in English at a workplace; Ethnocentrism, Cultural Intelligence and Intercultural Sensitivity, were used. The results showed that low level of Intercultural Sensitivity especially in the part of interaction confidence increased Ethnocentrism while high level of Cultural Intelligence decreased Ethnocentrism. This study affirms that Ethnocentrism influences Intercultural Sensitivity through lack of interaction confidence in a positive way and has a negative relationship with Cultural Intelligence, whereas Intercultural Sensitivity and Cultural Intelligence have a positive relationship to each other. This finally brings the conclusion that high level of Cultural Intelligence and Intercultural Sensitivity, especially Interaction Confidence, can increase willingness to communicate through the low level of Ethnocentrism.
DOI: 10.25442/hku.14762208
title: Supporting data for "Transmembrane protein VMP1 dysregulation in modulating tumour growth and angiogenesis in glioblastoma"

description: This dataset contains data determining the upregulation of VMP1 in glioblastoma compared to normal brain tissues using two publicly available microarray datasets CGGA and TCGA and the candidate’s cohort of clinical specimens. Moreover, Kaplan Meier survival, Cox proportional hazard regression and receiver operating curve analyses revealed that VMP1 could serve as an independent diagnostic and prognostic biomarker for glioma patients. Functional characterization of VMP1 was then performed with loss- and gain-of-function studies and found that VMP1 exerted oncogenic effects on GBM growth in vivo but not in vitro. The inconsistency between in vitro and in vivo findings suggested that VMP1-mediated oncogenic effects might be dependent on a three-dimensional microenvironment. Bioinformatic analysis predicted that VMP1 dysregulation could be associated with altered extracellular matrix (ECM)- receptor interaction and angiogenesis in GBM. Concertedly, direct forced expression of VMP1 was associated with significant increases in the diameter of GBM spheroids in ECM-coated cell culture and the number and diameter of blood vessels in both subcutaneous and intracranial xenografts. Moreover, VMP1-overexpressing cells-derived soluble pro-angiogenic factors were found to activate the angiogenic switch in endothelial cells in both ECM dependent and -independent manners possibly via β-catenin and LOX-mediated signaling pathways, which in turn conferred growth advantage in GBM cells.
DOI: 10.14457/tu.the.2020.98
title: การทดสอบความแม่นยำของตัวชี้วัดมูลค่าหลักทรัพย์: กรณีศึกษา บริษัทจดทะเบียนในตลาดหลักทรัพย์แห่งประเทศไทย กลุ่มอุตสาหกรรมอสังหาริมทรัพย์และก่อสร้าง

description: การศึกษาค้นคว้าอิสระนี้มีวัตถุประสงค์เพื่อเปรียบเทียบความแม่นยำของการประเมินมูลค่าหุ้นที่คำนวณได้จากกำไรต่อหุ้นของหลักทรัพย์ และมูลค่าตามบัญชีต่อหุ้นจากแบบจำลองการประเมินมูลค่าหุ้น Ohlson 1995 และกำไรคงเหลือจากแบบจำลองกำไรคงเหลือ (Residual Income Model) เพื่อให้ทราบว่าข้อมูลทางบัญชีใดสามารถใช้พยากรณ์มูลค่าแท้จริงของหลักทรัพย์ได้ดีที่สุด โดยทำการศึกษาบริษัทจดทะเบียนในตลาดหลักทรัพย์แห่งประเทศไทย กลุ่มอุตสาหกรรมอสังหาริมทรัพย์และก่อสร้างช่วงเวลาตั้งแต่ปี พ.ศ. 2553 - 2561 รวมเป็นกลุ่มตัวอย่าง 265 ค่าสังเกต จากการศึกษาพบว่า การประเมินมูลค่าหุ้นที่คำนวณได้จากกำไรต่อหุ้นของหลักทรัพย์ และมูลค่าตามบัญชีต่อหุ้นจากแบบจำลองการประเมินมูลค่าหุ้น Ohlson 1995 และกำไรคงเหลือจากแบบจำลองกำไรคงเหลือ (Residual Income Model) มีความแม่นยำใกล้เคียงกัน ดังนั้น นักลงทุนสามารถใช้ได้ทั้งสองแบบจำลองในการนำข้อมูลรายงานทางการเงินในอดีตมาพยากรณ์มูลค่าหุ้นสามัญ สำหรับกลุ่มอุตสาหกรรมอสังหาริมทรัพย์และก่อสร้างของบริษัทจดทะเบียนในตลาดหลักทรัพย์แห่งประเทศไทย