cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10498040
title: Dataset for GeoDRR Cagayan de Oro 2024 training

description: More info here:

https://personal.ua.es/es/ariquelme/seminarios/training-geodrr-cagayan-de-oro.html

The files in this repository correspond to the training sessions of the GeoDRR project at Xavier University-Ateneo de Cagayan, in the Philippines, conducted by Adrian Riquelme on January 24, 2024.

In this session, we initiate our work with a LiDAR flight conducted under the auspices of the UP TCAGP and PHIL-LiDAR Program over the Taal Volcano. Our goal is to process the acquired LiDAR data to produce a Digital Elevation Model (DEM) at the desired resolution, with the intention of crafting a comprehensive slope map. As a practical application, we calculate regions on the volcano where the slope surpasses a predefined threshold, aiming to pinpoint areas susceptible to pojktential erosion.
DOI: 10.5281/zenodo.10553877
title: Dataset for GeoDRR Cagayan de Oro 2024 training

description: More info here:

https://personal.ua.es/es/ariquelme/seminarios/training-geodrr-cagayan-de-oro.html

The files in this repository correspond to the training sessions of the GeoDRR project at Xavier University-Ateneo de Cagayan, in the Philippines, conducted by Adrian Riquelme on January 24, 2024.

In this session, we initiate our work with a LiDAR flight conducted under the auspices of the UP TCAGP and PHIL-LiDAR Program over the Taal Volcano. Our goal is to process the acquired LiDAR data to produce a Digital Elevation Model (DEM) at the desired resolution, with the intention of crafting a comprehensive slope map. As a practical application, we calculate regions on the volcano where the slope surpasses a predefined threshold, aiming to pinpoint areas susceptible to pojktential erosion.
DOI: 10.5281/zenodo.10550979
title: Global oceanic PON concentration products derived from Aqua-MODIS through a Gaussian Process Regression model

description: This dataset integrates the monthly PON concentration products from 2002 to 2022 of the global ocean, which were derived from Aqua-MODIS based on our newly developed Gaussian Process Regression models.
DOI: 10.5281/zenodo.10550980
title: Global oceanic PON concentration products derived from Aqua-MODIS through a Gaussian Process Regression model

description: This dataset integrates the monthly PON concentration products from 2002 to 2022 of the global ocean, which were derived from Aqua-MODIS based on our newly developed Gaussian Process Regression models.
DOI: 10.6084/m9.figshare.25045766
title: Experimental Results.xlsx

description: In this section, we will evaluate the performance of the algorithm A-ABC. CPLEX is employed to directlysolve the relaxation model [OP2]. The A-ABC heuristic algorithm is configured with <i>t </i>= 100 iterations and thesolver is set to solve within 3600 seconds. Table 3 illustrates the average outcomes achieved by both CPLEXand A-ABC across instances involving 6, 9, and 25 clients. The table outlines specifics such as the number ofregions (<i>N</i>), instance count (#), instances optimally solved (#O), lower bound (<i>lb</i>, which represents the best?found target value), upper bound (<i>ub</i>), percentage gap calculated as (<i>ub</i>−<i>lb</i>)/<i>lb</i>×100%, and the Time (<i>s</i>) column,indicating the solver’s duration to establish the lower bound. Additionally, for A-ABC, we present the averagebest target value, average worst target value, average target value, standard deviation from 10 runs, average totalcomputation time (in seconds), and the Gap value derived from CPLEX. Table 4 distinctly emphasizes superiorvalues among diverse heuristic methods alongside their shortest computation times. Detailed solutions for eachinstance can be found in the online supplement.
DOI: 10.6084/m9.figshare.24999518
title: Dataset 1

description: Interview recordings of school teachers and students in Telugu
DOI: 10.6084/m9.figshare.24999518.v1
title: Dataset 1

description: Interview recordings of school teachers and students in Telugu
DOI: 10.34740/kaggle/dsv/7461266
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.25442/hku.24958632
title: Supporting data for “Raising Learners’ Awareness of English as a Lingua Franca: An Empirical Study in a Chinese University”

description: This study explored the influence of an ELF-oriented teaching program on students’ awareness and attitudes in a Chinese university. Students' awareness and attitudes were mainly collected through pre- and post-intervention questionnaires and interviews and recordings of students’ in-class discussions. Other data related to the teaching of ELF and students' performance in ELF were through recordings of ELF practice and teaching journals. The study has been approved by HREC and the reference number is EA200139. Data were collected following the research conduct.
DOI: 10.25442/hku.24958632.v1
title: Supporting data for “Raising Learners’ Awareness of English as a Lingua Franca: An Empirical Study in a Chinese University”

description: This study explored the influence of an ELF-oriented teaching program on students’ awareness and attitudes in a Chinese university. Students' awareness and attitudes were mainly collected through pre- and post-intervention questionnaires and interviews and recordings of students’ in-class discussions. Other data related to the teaching of ELF and students' performance in ELF were through recordings of ELF practice and teaching journals. The study has been approved by HREC and the reference number is EA200139. Data were collected following the research conduct.
DOI: 10.25442/hku.24968199
title: Supporting data for "The Tumour-Suppressive Role of GPR15L and Its Interaction with GPR15 in Colorectal Cancer"

description: The study of GPR15L and GPR15 and their interaction in CRC. Functional assays, including proliferation, drug resistance, colony formation, tumour spheroid formation, and migration assay, were done to investigate the outcome of modulating expression of either GPR15L and GPR15, as well as treatment of cells with secreted GPR15L. In vivo study of GPR15L overexpression in tumour cells subcutaneously injected into immunodeficient mice was used to identify its tumour-suppressive effect. Correlations between GPR15L expression in CRC or normal adjacent tissues and patient clinical characteristics were identified. Western blot was performed to analyse the change in protein expression upon change in GPR15L and GPR15 expression.
DOI: 10.25442/hku.24968199.v1
title: Supporting data for "The Tumour-Suppressive Role of GPR15L and Its Interaction with GPR15 in Colorectal Cancer"

description: The study of GPR15L and GPR15 and their interaction in CRC. Functional assays, including proliferation, drug resistance, colony formation, tumour spheroid formation, and migration assay, were done to investigate the outcome of modulating expression of either GPR15L and GPR15, as well as treatment of cells with secreted GPR15L. In vivo study of GPR15L overexpression in tumour cells subcutaneously injected into immunodeficient mice was used to identify its tumour-suppressive effect. Correlations between GPR15L expression in CRC or normal adjacent tissues and patient clinical characteristics were identified. Western blot was performed to analyse the change in protein expression upon change in GPR15L and GPR15 expression.
DOI: 10.25442/hku.25034672
title: Supporting data for “Developing a Chatbot-Assisted Approach to Enhance the Teaching and Learning of Argumentative Writing”

description: This thesis aims to investigate the use of chatbots in teaching argumentative writing to English as a foreign language (EFL) students. Through five studies, this thesis examines the applicability of chatbot-assisted learning for argumentative writing from multiple perspectives. Study 1 focuses on the student perspective, describing the design and development of a novel chatbot used to scaffold students' argument construction. It also explores EFL students' perceptions of using the chatbot for writing argumentative essays. Study 2 delves into the process of EFL students' interaction with the chatbot in composing argumentative essays. Study 3 shifts the perspective to the teacher, investigating how EFL teachers can integrate chatbots into their teaching of argumentative writing. Studies 4 and 5 investigate the incorporation of chatbots into in-class learning activities to enhance students' argumentative writing skills. A novel task design called chatbot-assisted in-class debates is developed, where students interact with the chatbot before engaging in debates with their classmates. Study 4 examines the effects of this learning design on students' argumentative writing skills and task motivation. Study 5 focuses on students' behavioral, cognitive, and affective engagement in chatbot-assisted in-class debates. For each of the five studies, separate data collection was conducted involving distinct participants. A diverse range of data sources was gathered and used. These sources encompassed questionnaire responses, student essays, teacher lesson plans, screen recordings, classroom audio recordings, interview transcripts, and chat logs.
DOI: 10.25442/hku.25034672.v1
title: Supporting data for “Developing a Chatbot-Assisted Approach to Enhance the Teaching and Learning of Argumentative Writing”

description: This thesis aims to investigate the use of chatbots in teaching argumentative writing to English as a foreign language (EFL) students. Through five studies, this thesis examines the applicability of chatbot-assisted learning for argumentative writing from multiple perspectives. Study 1 focuses on the student perspective, describing the design and development of a novel chatbot used to scaffold students' argument construction. It also explores EFL students' perceptions of using the chatbot for writing argumentative essays. Study 2 delves into the process of EFL students' interaction with the chatbot in composing argumentative essays. Study 3 shifts the perspective to the teacher, investigating how EFL teachers can integrate chatbots into their teaching of argumentative writing. Studies 4 and 5 investigate the incorporation of chatbots into in-class learning activities to enhance students' argumentative writing skills. A novel task design called chatbot-assisted in-class debates is developed, where students interact with the chatbot before engaging in debates with their classmates. Study 4 examines the effects of this learning design on students' argumentative writing skills and task motivation. Study 5 focuses on students' behavioral, cognitive, and affective engagement in chatbot-assisted in-class debates. For each of the five studies, separate data collection was conducted involving distinct participants. A diverse range of data sources was gathered and used. These sources encompassed questionnaire responses, student essays, teacher lesson plans, screen recordings, classroom audio recordings, interview transcripts, and chat logs.
DOI: 10.6084/m9.figshare.25045793
title: NOX4 regulates gastric cancer cell invasion and proliferation by increasing ferroptosis sensitivity through regulating ROS

description: Our study suggests that NOX4 increases the susceptibility of GC cells to ferroptosis inducers by promoting ROS production.
DOI: 10.6084/m9.figshare.25045793.v2
title: NOX4 regulates gastric cancer cell invasion and proliferation by increasing ferroptosis sensitivity through regulating ROS

description: Our study suggests that NOX4 increases the susceptibility of GC cells to ferroptosis inducers by promoting ROS production.
DOI: 10.6084/m9.figshare.25045793.v1
title: NOX4 regulates gastric cancer cell invasion and proliferation by increasing ferroptosis sensitivity through regulating ROS

description: Our study suggests that NOX4 increases the susceptibility of GC cells to ferroptosis inducers by promoting ROS production.
DOI: 10.5281/zenodo.6295927
title: STFLNDVI: A long-term 1km NDVI time series since 1982 by fusing MODIS and AVHRR products

description:  A global long-term NDVI dataset is generated since 1982 through fusing MODIS and AVHRR products, with a spatial resolution of 1km and monthly intervals. 

 This dataset can be regarded as a backward extension of the 1km MODIS observations with consistent data characteristics. It is provided using the standardized MODIS sinusoidal grid with the same geographic projection, with the data format of TIFF images. 

 Users can search the interest regions using the MODIS tile number, i.e., ‘h*v*’. The time-series NDVI from 1982 to 1999 are provided in one compressing ZIP file, with the maximum size of about 600M memory after uncompressing into the TIFF format (*.tif).

 The compressing TAR.GZ files are named using the MODIS tile number, i.e., ‘h*.tar.gz’, which contains several 'h*v*.tar.gz'. After uncompressing into the TIFF format, the files are named as “Fusion.MOD.Tile Number. Year Month.tif”. Such as the file name “Fusion.MOD.h07v03.198201.tif” means it is the 1km NDVI for regions of the MODIS h07v03 grids in January of 1982.

The spatial distribution and temporal variation of this dataset have been both well validated by the simulated and real-data experiments. The detailed information can be found in the published paper.

 Due to the quota limitation, some data are not successfully uploaded, including the data with tile numbers of h22v02, h23v02, h24v02 and h25v02, and all the data with the vertical tile number of v00 and v01. This data can be accessed by emailing us at guanxb@whu.edu.cn.
DOI: 10.5281/zenodo.6295928
title: STFLNDVI: A long-term 1km NDVI time series since 1982 by fusing MODIS and AVHRR products

description: A global long-term NDVI dataset is generated since 1982 through fusing MODIS and AVHRR products, with a spatial resolution of 1km and monthly intervals. This dataset can be regarded as a backward extension of the 1km MODIS observations with consistent data characteristics. It is provided using the standardized MODIS sinusoidal grid with the same geographic projection, with the data format of TIFF images. Users can search the interest regions using the MODIS tile number, i.e., ‘h*v*’. The time-series NDVI from 1982 to 1999 are provided in one compressing ZIP file, with the maximum size of about 600M memory after uncompressing into the TIFF format (*.tif). The compressing ZIP files are named using the MODIS tile number, i.e., ‘h*v*.zip’. After uncompressing into the TIFF format, the files are named as “Fusion.MOD.Tile Number. Year Month.tif”. Such as the file name “Fusion.MOD.h07v03.198201.tif” means it is the 1km NDVI for regions of the MODIS h07v03 grids in January of 1982. The spatial distribution and temporal variation of this dataset have been both well validated by the simulated and real-data experiments. The detailed information can be found in the published paper. Due to the quota limitation, some data are not successfully uploaded, including the data with tile numbers of h23v02, h24v02 and h25v02, and all the data with the vertical tile number of v00 and v01. This data can be accessed by emailing us at guanxb@whu.edu.cn.
DOI: 10.5281/zenodo.6363845
title: STFLNDVI: A long-term 1km NDVI time series since 1982 by fusing MODIS and AVHRR products

description:  A global long-term NDVI dataset is generated since 1982 through fusing MODIS and AVHRR products, with a spatial resolution of 1km and monthly intervals. 

 This dataset can be regarded as a backward extension of the 1km MODIS observations with consistent data characteristics. It is provided using the standardized MODIS sinusoidal grid with the same geographic projection, with the data format of TIFF images. 

 Users can search the interest regions using the MODIS tile number, i.e., ‘h*v*’. The time-series NDVI from 1982 to 1999 are provided in one compressing ZIP file, with the maximum size of about 600M memory after uncompressing into the TIFF format (*.tif).

 The compressing TAR.GZ files are named using the MODIS tile number, i.e., ‘h*.tar.gz’, which contains several 'h*v*.tar.gz'. After uncompressing into the TIFF format, the files are named as “Fusion.MOD.Tile Number. Year Month.tif”. Such as the file name “Fusion.MOD.h07v03.198201.tif” means it is the 1km NDVI for regions of the MODIS h07v03 grids in January of 1982.

The spatial distribution and temporal variation of this dataset have been both well validated by the simulated and real-data experiments. The detailed information can be found in the published paper.

 Due to the quota limitation, some data are not successfully uploaded, including the data with tile numbers of h22v02, h23v02, h24v02 and h25v02, and all the data with the vertical tile number of v00 and v01. This data can be accessed by emailing us at guanxb@whu.edu.cn.
DOI: 10.21227/apsc-ce11
title: PSCAD simulation model of DFIGs connected to grid via series compensation

description: A typical model of doubly-fed wind farm connected to the grid through series compensation is provided, which can be used to study subsynchronous oscillation（SSO）. LC resonance may occur between the stator inductance and the capacitance in the 500kV line. At some frequencies, the equivalent resistance of the rotor is negative, and the proportional factor of the inner current loop of the rotor-side converter(RSC) will amplify the negative resistance, resulting in unstable subsynchronous control interaction(SSCI) in the system.
DOI: 10.6084/m9.figshare.24032064
title: Result data

description: This contains result data to make the figures in the manuscript.
Each case folder corresponds to different atmospheric conditions of H2, CO, oxygen escape, and background temperature profile. In each case folder, the output folder has the density, rate, and flux data.
DOI: 10.6084/m9.figshare.25045607.v1
title: 数据.xlsx

description: 的数据集 的大学生就业焦虑基于解释偏差： 随机对照实验”
DOI: 10.15151/esrf-es-1427749555
title: Correlative imaging for additive manufacturing of metallic alloys

description: Additive manufacturing of metallic alloys is an innovative process but several scientific issues need to be overcome for a strong development in industry. In this field, relevant scales are ranging from several centimenters down to submicron requiring the development of a multi-scale correlative imaging approach. We propose a dual strategy on ID16B and BM18 to extent their application domains: (i) an experimental approach linking in situ tests at several scales with dedicated sample environment and technical developments; (ii) a numerical approach based on artificial intelligence algorithms to reduce data acquisition (low number of projections, automatic segmentation) and increase quality (enhanced resolution, noise and rings removal). The multi-scale correlative imaging strategy will benefit to other imaging beamlines (BM05, ID19), will be transferable to other materials science fields leading to more industry participation at ESRF, thanks to an associated long life learning project.
DOI: 10.6084/m9.figshare.25045607
title: 数据.xlsx

description: 的数据集 的大学生就业焦虑基于解释偏差： 随机对照实验”
DOI: 10.6084/m9.figshare.25045952
title: An intervention study on college students employment anxiety based on Interpretation Bias Modification: A Randomized Controlled Experiment

description: The datasets of the study "An intervention study on college students employment anxiety based on Interpretation Bias Modification: A Randomized Controlled Experiment"
DOI: 10.5281/zenodo.10554252
title: Genome-wide association study - Perceived aging - UK Biobank

description: Genome-wide association study (GWAS) summary statistics for perceived youthfulness within the UK Biobank. 450,000 participants rate their perceived youthfulness (data field 1757) by responding to the question "Do people say that you look?: A) younger than you are; B) older than you are; C) about your age”. The GWAS was run using Bolt-lmm, and the effect estimates for each genetic marker have been transformed using a Taylor shrinkage parameter. The GWAS summstats are for both sexes combined and males and females seperately. See Paper, Ingold et al. (2024), for more details.

Coloumns

SNP - Single nucleotide polymorphism identifier 

CHR - chromosome number

BP - Base position on human genome build 37

ALLELE1 - effect allele

ALLELE0 - non -effect allele

A1FREQ - effect allele frequency

INFO - Imputation quality metric

Taylor_Beta - effect estimate, derived from a Boltlmm effect estimate, adjusted with a Taylor shrinkage parameter to better reflect the estimated effect of a linear regression of an ordinal trait.

Taylor_SE - Taylor adjusted standard error of the effect estimate.

P_BOLT_LMM_INF - infinitesimal mixed model association test p-value

P_BOLT_LMM - non-infinitesimal mixed model association test p-value
DOI: 10.5281/zenodo.10554253
title: Genome-wide association study - Perceived aging - UK Biobank

description: Genome-wide association study (GWAS) summary statistics for perceived youthfulness within the UK Biobank. 450,000 participants rate their perceived youthfulness (data field 1757) by responding to the question "Do people say that you look?: A) younger than you are; B) older than you are; C) about your age”. The GWAS was run using Bolt-lmm, and the effect estimates for each genetic marker have been transformed using a Taylor shrinkage parameter. The GWAS summstats are for both sexes combined and males and females seperately. See Paper, Ingold et al. (2024), for more details.

Coloumns

SNP - Single nucleotide polymorphism identifier 

CHR - chromosome number

BP - Base position on human genome build 37

ALLELE1 - effect allele

ALLELE0 - non -effect allele

A1FREQ - effect allele frequency

INFO - Imputation quality metric

Taylor_Beta - effect estimate, derived from a Boltlmm effect estimate, adjusted with a Taylor shrinkage parameter to better reflect the estimated effect of a linear regression of an ordinal trait.

Taylor_SE - Taylor adjusted standard error of the effect estimate.

P_BOLT_LMM_INF - infinitesimal mixed model association test p-value

P_BOLT_LMM - non-infinitesimal mixed model association test p-value
DOI: 10.57770/7k3wod
title: Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem

description: Job-shop scheduling problem (JSP) is a mathematical optimization problem widely used in industries like manufacturing, and flexible JSP (FJSP) is also a common variant. Since they are NP-hard, it is intractable to find the optimal solution for all cases within reasonable times. Thus, it becomes important to develop efficient heuristics to solve JSP/FJSP. A kind of method of solving scheduling problems is construction heuristics, which constructs scheduling solutions via heuristics. Recently, many methods for construction heuristics leverage deep reinforcement learning (DRL) with graph neural networks (GNN). In this paper, we propose a new approach, named residual scheduling, to solving JSP/FJSP. In this new approach, we remove irrelevant machines and jobs such as those finished, such that the states include the remaining (or relevant) machines and jobs only. Our experiments show that our approach reaches state-of-the-art (SOTA) among all known construction heuristics on most well-known open JSP and FJSP benchmarks. In addition, we also observe that even though our model is trained for scheduling problems of smaller sizes, our method still performs well for scheduling problems of large sizes in terms of makespan. Interestingly in our experiments, our approach even reaches zero makespan gap for 49 among 60 JSP instances whose job numbers are more than 100 on 15 machines.
DOI: 10.5281/zenodo.10554307
title: dataset
DOI: 10.5281/zenodo.10554308
title: dataset
DOI: 10.17894/ucph.7a466465-84fc-4574-8696-ac6e8b0e2549
title: Clumped isotope measurements reveal aerobic oxidation of biological methane below the Greenland ice sheet