cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5258/soton/d2401
title: Data supporting University of Southampton Doctoral thesis 'Development of scalable and flexible non-thermal Dielectric Barrier Discharge systems for novel low-temperature plasma applications'

description: PhD Thesis 'Development of scalable and flexible non-thermal Dielectric Barrier Discharge systems for novel low-temperature plasma applications' by Henrike Jakob The dataset contains exemplary one set of electrical, spectral and optical data for the respective studies. Additionally the electrical model is included.
DOI: 10.25381/cput.21080935
title: Teaching and learning strategies to enhance IsiXhosa-speaking learners’ mathematical understanding in English grade one classrooms

description: This study was aimed at exploring, describing, and understanding how Grade One teachers are using teaching and learning strategies to enhance IsiXhosa-speaking learners’ mathematical understanding in English Grade One classrooms. To date, there are still no proper mathematical registers for African languages and a scarcity of guidelines on what constitutes good mathematics practises in South African English Grade One classrooms to support IsiXhosa Home Language learners with mathematical understanding. This study highlights some of the current teaching and learning strategies experienced and implemented by selected Grade One teachers in the Metro East Education District of the Western Cape. In an attempt to resolve the research problem, recommendations are given for effective dissemination strategies to support IsiXhosa home language learners. A gap in the literature on descriptions of current support provided to IsiXhosa-speaking learners within the mathematical proficiency model of Kilpatrick, Swafford, and Findell was identified. This research, therefore, intends to fill this gap in the literature. It is especially unclear what adequate teaching and learning strategies are utilised for IsiXhosa-speaking learners to become truly proficient in using the English academic register for mathematical understanding in the context of South Africa. An adapted Interactive Qualitative Analysis (IQA) approach supported by exploratory, descriptive, and contextual research designs was employed. Using the purposive sampling technique, a sample was chosen from eleven Grade One teachers from public and independent primary schools in the Western Cape who taught mathematics to IsiXhosa learners who received education in English. Data was collected through unstructured open-ended focus group interviews, semi-structured individual interviews, and lesson observations. The findings provide a clear description of selected Grade One teachers' current teaching and learning strategies, as well as their resources and support, and their experiences with a lack of pre- and in-service training. Conclusions are made in terms of the intertwined theory of Vygotsky’s learning theory (1978) and the five-stranded model of mathematical proficiency of Kilpatrick, Swafford, and Findell (2001). Based on the findings, several recommendations were made regarding teaching and learning strategies to enhance IsiXhosa-speaking learners’ mathematical understanding in English Grade One classrooms.
DOI: 10.25381/cput.21080935.v1
title: Teaching and learning strategies to enhance IsiXhosa-speaking learners’ mathematical understanding in English grade one classrooms

description: This study was aimed at exploring, describing, and understanding how Grade One teachers are using teaching and learning strategies to enhance IsiXhosa-speaking learners’ mathematical understanding in English Grade One classrooms. To date, there are still no proper mathematical registers for African languages and a scarcity of guidelines on what constitutes good mathematics practises in South African English Grade One classrooms to support IsiXhosa Home Language learners with mathematical understanding. This study highlights some of the current teaching and learning strategies experienced and implemented by selected Grade One teachers in the Metro East Education District of the Western Cape. In an attempt to resolve the research problem, recommendations are given for effective dissemination strategies to support IsiXhosa home language learners. A gap in the literature on descriptions of current support provided to IsiXhosa-speaking learners within the mathematical proficiency model of Kilpatrick, Swafford, and Findell was identified. This research, therefore, intends to fill this gap in the literature. It is especially unclear what adequate teaching and learning strategies are utilised for IsiXhosa-speaking learners to become truly proficient in using the English academic register for mathematical understanding in the context of South Africa. An adapted Interactive Qualitative Analysis (IQA) approach supported by exploratory, descriptive, and contextual research designs was employed. Using the purposive sampling technique, a sample was chosen from eleven Grade One teachers from public and independent primary schools in the Western Cape who taught mathematics to IsiXhosa learners who received education in English. Data was collected through unstructured open-ended focus group interviews, semi-structured individual interviews, and lesson observations. The findings provide a clear description of selected Grade One teachers' current teaching and learning strategies, as well as their resources and support, and their experiences with a lack of pre- and in-service training. Conclusions are made in terms of the intertwined theory of Vygotsky’s learning theory (1978) and the five-stranded model of mathematical proficiency of Kilpatrick, Swafford, and Findell (2001). Based on the findings, several recommendations were made regarding teaching and learning strategies to enhance IsiXhosa-speaking learners’ mathematical understanding in English Grade One classrooms.
DOI: 10.21227/9cmb-qr58
title: CRAWDAD usc/mobilib

description: VPN session, DHCP log, and trap log data from wireless network at USC.This dataset includes VPN session, DHCP log, and tcap log data, for 79 access points and several thousand users at USC.date/time of measurement start: 2003-12-23date/time of measurement end: 2006-04-28collection environment: This data set was collected during 2003-2005 at the USC campus, where the number of WLAN users was over 4500.network configuration: At the time of collection, the USC wireless LAN had 79 APs.data collection methodology: These traces are logs for timestamps of (start|stop) of VPN sessions. At USC, wireless users must establish connections to a VPN server before they can use the network. Hence the session log contains periods of users potentailly using the network, with its private (dynamic) IP addresses.Tracesetusc/mobilib/sessionVPN session logs from USC wirelss network.file: USC_sessions.tgzdescription: This traceset contains logs for timestamps of (start|stop) of VPN sessions.measurement purpose: User Mobility Characterization, Usage Characterization, Human Behavior Modelingmethodology: These traces are logs for timestamps of (start|stop) of VPN sessions. At USC, wireless users must establish connections to a VPN server before they can use the network. Hence the session log contains periods of users potentailly using the network, with its private (dynamic) IP addresses.usc/mobilib/session Tracevpn: VPN session logs from USC wireless network.file: USC_sessions.tgzconfiguration: These logs of sessions are collected at the VPN server for wireless users at USC. Before using the network, users must establish a VPN session to the server. The "Start" and "Stop" timestamps in the trace represents the beginning and the end of these VPN sessions.format: The fields in each line of the trace are: 1. Day of the week: Sun, Mon, Tue, Wed, Thu, Fri, Sat 2. Month 3. Day 4. Time: HH:MM:SS 5. Action: "Start" or "Stop" of a session. 6. Private IP in USC network. 7. Public IP given to the host.usc/mobilib/dhcpDHCP logs from USC wirelss network.file: USC_dhcp.tgzdescription: This traceset contains The DHCP log of the private IP assignments to MAC addresses.measurement purpose: User Mobility Characterization, Usage Characterization, Human Behavior Modelingmethodology: The DHCP log contains the private IP assignments to MAC addresses. usc/mobilib/dhcp Tracedhcp_log: Trace of DHCP logs from USC wirelss network.configuration: This log contains the private IP assignments to MAC addresses. The listed private IP is given to the MAC address at the indicated time.format: The fields are: 1. Month 2. Day 3. Time: HH:MM:SS 4. Private IP in USC network 5. MAC address
DOI: 10.5517/ccdc.csd.cc1n8176
title: CCDC 1527067: Experimental Crystal Structure Determination

description: Related Article: Yi-Gang Wu, Dong-Bo Wang, Juan-Juan Hu, Xue-Qing Song, Cheng-Zhi Xie, Zhong-Ying Ma, Jing-Yuan Xu|2019|Inorg.Chem.Front.|6|1040|doi:10.1039/C9QI00030E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2285g0
title: CCDC 1914481: Experimental Crystal Structure Determination

description: Related Article: Zahra Azarkamanzad, Faezeh Farzaneh, Alireza Abbasi, Mina Ghiasi|2022|J.Mol.Struct.|1274|134386|doi:10.1016/j.molstruc.2022.134386
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28kf6h
title: CCDC 2102116: Experimental Crystal Structure Determination

description: Related Article: Jeffrey Pau, Jung-Won Choi, Kaitlyn Silverthorne, Mokhamed Ranne, R. Stephen Wylie, Robert A. Gossage, Alan J. Lough, Daniel A. Foucher|2022|Eur.J.Inorg.Chem.|2022|e202100937|doi:10.1002/ejic.202100937
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc299tzf
title: CCDC 2124615: Experimental Crystal Structure Determination

description: Related Article: Aabid B. Ganaie, K. Iftikhar|2022|J.Mol.Struct.|1273|134352|doi:10.1016/j.molstruc.2022.134352
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29cjw3
title: CCDC 2126255: Experimental Crystal Structure Determination

description: Related Article: Minghui Zuo, Nannan Yuan, Ying Gao, Yuanyuan Li, Shuxin Cui|2023|J.Mol.Struct.|1273|134315|doi:10.1016/j.molstruc.2022.134315
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29dkjt
title: CCDC 2127236: Experimental Crystal Structure Determination

description: Related Article: Minghui Zuo, Nannan Yuan, Ying Gao, Yuanyuan Li, Shuxin Cui|2023|J.Mol.Struct.|1273|134315|doi:10.1016/j.molstruc.2022.134315
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c41m6
title: CCDC 2178637: Experimental Crystal Structure Determination

description: Related Article: Priyanka Singh, Musheer Ahmad, Kafeel Ahmad Siddiqui|2022|J.Mol.Struct.|1274|134422|doi:10.1016/j.molstruc.2022.134422
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c7r4j
title: CCDC 2182187: Experimental Crystal Structure Determination

description: Related Article: S. Athira, Dibya Jyoti Mondal, Shraoshee Shome, Bijoy Dey, Sanjit Konar|2022|Dalton Trans.|51|16706|doi:10.1039/D2DT02115C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c7r5k
title: CCDC 2182188: Experimental Crystal Structure Determination

description: Related Article: S. Athira, Dibya Jyoti Mondal, Shraoshee Shome, Bijoy Dey, Sanjit Konar|2022|Dalton Trans.|51|16706|doi:10.1039/D2DT02115C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bz9rd
title: CCDC 2174084: Experimental Crystal Structure Determination

description: Related Article: Muhammad Nadeem Akhtar, Murad A. AlDamen, Wiktor Zierkiewicz, Mariusz Michalczyk, Amin Khan, Kiran Fouzia, Tahir Ali Sheikh, Muhammad Imran|2022|J.Mol.Struct.|1274|134318|doi:10.1016/j.molstruc.2022.134318
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cb0wm
title: CCDC 2184380: Experimental Crystal Structure Determination

description: Related Article: D. Ravichandran, M. Ranjani, G. Prabu Sankar, R. Shankar, M. Karthi, S. Selvakumar, R. Prabhakaran|2023|J.Mol.Struct.|1273|134329|doi:10.1016/j.molstruc.2022.134329
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21517926
title: 寒冬.txt

description: 漢詩の自動生成の評価システム
DOI: 10.6084/m9.figshare.21517926.v1
title: 寒冬.txt

description: 漢詩の自動生成の評価システム
DOI: 10.6084/m9.figshare.21517929
title: 酒.txt

description: 漢詩の自動生成の評価システム
DOI: 10.5281/zenodo.7278016
title: CLGAN: Guizhou ML-AWS precipitation dataset

description: This repository provides the preprocessed datasets and source codes, which are used in the study 'CLGAN: A GAN-based video prediction model for precipitation nowcasting' by Ji et al. (2022). This allows the user to reproduce the presented results for the precipitation nowcasting task.<br> <br> To build the dataset, minute-level precipitation measurements by rain gauges of Automatic Weather Stations over Guizhou, China is collected and preprocessed. The raw AWS data comprise measurements from 93 national basic stations and 1740 automatic weather stations across Guizhou at a high observation frequency (every minute). The raw data spans from 1st Jan 2015 and 31st Dec 2019 and is provided by the Guizhou Meteorological Bureau. A series of preprocessing are performed to obtain the proposed dataset, including bilinear interpolation, rainy sequence selection, log transformation and normalization. The details of preprocessing can be found in the paper mentioned above.<br> <br> This folder holds five single netCDF-files which respectively record the data from 2015 to 2019. Each netCDF-file contains preprocessed precipitation sequences with a shape of [n_sequence, len_sequence, n_lat, n_lon]. n_sequence is the number of the recorded sequences, len_sequence is the length of each sequence, n_lat and n_lon are the number of grid points in the meridian and zonal directions. In our case, the target domain covers from 24.625°N to 29.50°N and 103.625°E to 109.50°E (40x48 grid points) with a resolution of 0.125° and the length of each sequence is 24.<br>
DOI: 10.5281/zenodo.7278015
title: CLGAN: Guizhou ML-AWS precipitation dataset

description: This repository provides the preprocessed datasets and source codes, which are used in the study 'CLGAN: A GAN-based video prediction model for precipitation nowcasting' by Ji et al. (2022). This allows the user to reproduce the presented results for the precipitation nowcasting task.<br> <br> To build the dataset, minute-level precipitation measurements by rain gauges of Automatic Weather Stations over Guizhou, China is collected and preprocessed. The raw AWS data comprise measurements from 93 national basic stations and 1740 automatic weather stations across Guizhou at a high observation frequency (every minute). The raw data spans from 1st Jan 2015 and 31st Dec 2019 and is provided by the Guizhou Meteorological Bureau. A series of preprocessing are performed to obtain the proposed dataset, including bilinear interpolation, rainy sequence selection, log transformation and normalization. The details of preprocessing can be found in the paper mentioned above.<br> <br> This folder holds five single netCDF-files which respectively record the data from 2015 to 2019. Each netCDF-file contains preprocessed precipitation sequences with a shape of [n_sequence, len_sequence, n_lat, n_lon]. n_sequence is the number of the recorded sequences, len_sequence is the length of each sequence, n_lat and n_lon are the number of grid points in the meridian and zonal directions. In our case, the target domain covers from 24.625°N to 29.50°N and 103.625°E to 109.50°E (40x48 grid points) with a resolution of 0.125° and the length of each sequence is 24.<br>
DOI: 10.6084/m9.figshare.21517932
title: 梅.txt

description: 漢詩の自動生成の評価システム
DOI: 10.6084/m9.figshare.21517932.v1
title: 梅.txt

description: 漢詩の自動生成の評価システム
DOI: 10.6084/m9.figshare.21517935
title: 美人.txt

description: 漢詩の自動生成の評価システム
DOI: 10.6084/m9.figshare.21517935.v1
title: 美人.txt

description: 漢詩の自動生成の評価システム
DOI: 10.6084/m9.figshare.21518028
title: 美人.txt

description: 漢詩の自動生成の評価結果
DOI: 10.6084/m9.figshare.21518028.v1
title: 美人.txt

description: 漢詩の自動生成の評価結果
DOI: 10.6084/m9.figshare.21517938
title: 青梅.txt

description: 漢詩の自動生成の評価システム
DOI: 10.6084/m9.figshare.21517938.v1
title: 青梅.txt

description: 漢詩の自動生成の評価システム
DOI: 10.5255/ukda-sn-856040
title: Sharing Our Stories: Experiences of Sibling Bereavement, 2020-2022

description: The sibling relationship is one of the longest and possibly most intimate relationships of a lifetime, capable of informing our sense of self and guiding how we are perceived by others. Due to the likely generational closeness of siblings and unique opportunity for shared familial experiences, brothers and sisters can be inimitably positioned within a person’s relational web. It therefore follows that the death of a sibling can have profound implications for any surviving brothers and/or sisters, initiating a bereavement experience unlike any other. Yet despite its potential significance, the sibling relationship is often overlooked within sociological study and the sibling bereavement experience is largely under studied in comparison to other familial relations. These interviews contribute to knowledge by prioritising lived experiences of sibling bereavement, as articulated by the 5 participants interviewed. They build upon a PhD study into sibling bereavement by focusing in further detail on the siblings' relationships with their parents following their brother or sister's death.
DOI: 10.5255/ukda-sn-856037
title: The Impact of Labels and Advertisements in Motivation for Bottled Water

description: Consumers’ daily water consumption remains below the recommend level. Previous research has shown that the degree to which drinks are thought of in terms of consuming and enjoying them (i.e., simulations) predicts intake. Here, we examined whether water labels or advertisements framed in terms of consumption and reward simulations increases motivation for a fictitious bottled water. In three pre-registered experiments with regular consumers of SSBs (N = 1355), we presented numerous different labels of fictitious water brands with words related to the rewarding consumption experience of water (e.g., “refreshing”, “cool”), with conventional descriptions of water that emphasised its origin and purity, or with brand names only. Contrary to our expectations, waters with consumption and reward-focused labels were not rated more favourably than waters with conventional labels, but both were rated higher than brand-only labels. In three additional online experiments (Nexp1 = 984; Nexp2 = 786), participants immersed themselves in situations shown in advertisements that highlighted the rewarding consumption experience of water (e.g., “refresh all your senses with this smooth, cool water”), health consequences of drinking water (e.g., “this water takes care of your health”), or control advertisements. We assessed participants’ descriptions of the bottled water with a Feature Listing task. Responses were coded for features related to consumption and reward, and positive long-term health consequences. We also measured ratings of attractiveness (Exp. 1), desire, and Willingness To Pay (WTP; Exp. 1 and 2). Simulation-enhanced advertisements increased the number of consumption and reward features, and health-focused advertisements increased the number of health features mentioned. Moreover, significant indirect effects showed that simulation-enhanced advertisements increased attractiveness (Exp. 1), desire, and WTP (Exp. 1 and 2) through an increase in consumption and reward features, whereas health-focused advertisements increased these ratings through an increase in health features. The effect through consumption and reward was stronger.