cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22301020.v2
title: The high-resolution (1km) groundwater storage and depletion maps in Irrigated Indus Basin (IIB) during 2002-2019

description: We provided high-resolution (1km) groundwater storage (GWS) and depletion (DEPgw) maps across Irrigated Indus Basin (IIB) for 2002-2019. We applied two independent methodologies (1) spatial downscaling for improving GRACE-based GWS data, and (2) SWAT (Soil Water Assessment Tool) and pixel-based water balance approach for DEPgw estimates. GWS were estimated from the GRACE data, then downscaled to 1 km × 1 km using data-driven spatial downscaling models. We combined the downscaled GRACE-based GWS estimates with results from a calibrated SWAT hydrological model to estimate the DEPgw. The resultant maps delineate the groundwater depletion hotspots of cropping systems in the 55 canal command areas of IIB and could contribute to sustainable water use and agricultural development in the region. <br> <br> Readers can refer to the following publication for more details on the methods. <br> Arshad, A., Mirchi, A., Samimi, M. and Ahmad, B., 2022. Combining downscaled-GRACE data with SWAT to improve the estimation of groundwater storage and depletion variations in the Irrigated Indus Basin (IIB). <em>Science of the Total Environment</em>, <em>838</em>, p.156044.
DOI: 10.26179/mhkn-z865
title: Raw GPS data from sites on the Totten Glacier, 2016-2019
DOI: 10.6084/m9.figshare.22301020.v3
title: The high-resolution (1km) groundwater storage and depletion maps in Irrigated Indus Basin (IIB) during 2002-2019

description: We provided high-resolution (1km) groundwater storage (GWS) and depletion (DEPgw) maps across Irrigated Indus Basin (IIB) for 2002-2019. We applied two independent methodologies (1) spatial downscaling for improving GRACE-based GWS data, and (2) SWAT (Soil Water Assessment Tool) and pixel-based water balance approach for DEPgw estimates. GWS were estimated from the GRACE data, then downscaled to 1 km × 1 km using data-driven spatial downscaling models. We combined the downscaled GRACE-based GWS estimates with results from a calibrated SWAT hydrological model to estimate the DEPgw. The resultant maps delineate the groundwater depletion hotspots of cropping systems in the 55 canal command areas of IIB and could contribute to sustainable water use and agricultural development in the region. <br> <br> Readers can refer to the following publication for more details on the methods. <br> Arshad, A., Mirchi, A., Samimi, M. and Ahmad, B., 2022. Combining downscaled-GRACE data with SWAT to improve the estimation of groundwater storage and depletion variations in the Irrigated Indus Basin (IIB). <em>Science of the Total Environment</em>, <em>838</em>, p.156044.
DOI: 10.5281/zenodo.7750909
title: Conversation in forums: How software forum posts discuss potential software requirements

description: User feedback on software usage is utilised to formulate software requirements, and software product forums are platforms rich in software-related user feedback. However, previous studies have mainly focused on analysing forum user feedback as individual sentences, which can lead to missing insights and a lacking understanding of the overall context of forum posts. This work examines software forum user feedback in forum posts to investigate the differences between sentence and post-level content analysis. We manually evaluated software forum posts collected from two open-sourced software forums and discovered five new types of user feedback that can only be identified in post-level analysis. Additionally, we examined the association between sentence classifications found within software forums. Our results indicate that contextual information related to requirements frequently appears with explicit requirement statements in forum posts. This information can be used to reduce the manual effort required to chase up missing contextual information when working through an issue. We also provide insights into the order of events happening in software product forums at the post level. Our findings reveal the importance of looking at forum-based user feedback at a post level to identify new insights on user feedback for requirements engineering. The file contains the post-level classification dataset created from this study as well as our heatmap figures for RQ2.
DOI: 10.5281/zenodo.7750908
title: Conversation in forums: How software forum posts discuss potential software requirements

description: User feedback on software usage is utilised to formulate software requirements, and software product forums are platforms rich in software-related user feedback. However, previous studies have mainly focused on analysing forum user feedback as individual sentences, which can lead to missing insights and a lacking understanding of the overall context of forum posts. This work examines software forum user feedback in forum posts to investigate the differences between sentence and post-level content analysis. We manually evaluated software forum posts collected from two open-sourced software forums and discovered five new types of user feedback that can only be identified in post-level analysis. Additionally, we examined the association between sentence classifications found within software forums. Our results indicate that contextual information related to requirements frequently appears with explicit requirement statements in forum posts. This information can be used to reduce the manual effort required to chase up missing contextual information when working through an issue. We also provide insights into the order of events happening in software product forums at the post level. Our findings reveal the importance of looking at forum-based user feedback at a post level to identify new insights on user feedback for requirements engineering. The file contains the post-level classification dataset created from this study as well as our heatmap figures for RQ2.
DOI: 10.25946/22005269
title: A comparative study on biogas production from food waste using Aspen Plus and Artificial Neural Networks (ANN): DATASET

description: This study simulated and made a comparative study between Aspen Plus and Artificial Neural Networks (ANN) for the anaerobic digestion of food waste at different temperatures, Organic Loading Rates (OLR) and Hydraulic Retentions Time (HRT) variations, using a two-stage digester setup.
DOI: 10.34740/kaggle/dsv/5197281
title: Dota 2 Pro League Matches 2023
DOI: 10.25946/22005269.v1
title: A comparative study on biogas production from food waste using Aspen Plus and Artificial Neural Networks (ANN): DATASET

description: This study simulated and made a comparative study between Aspen Plus and Artificial Neural Networks (ANN) for the anaerobic digestion of food waste at different temperatures, Organic Loading Rates (OLR) and Hydraulic Retentions Time (HRT) variations, using a two-stage digester setup.
DOI: 10.6084/m9.figshare.22301101
title: [EnCompIF 23] Analisando as Soft Skills do Ponto de Vista dos Profissionais de Informatica

description: Material Suplementar
DOI: 10.6084/m9.figshare.22301101.v1
title: [EnCompIF 23] Analisando as Soft Skills do Ponto de Vista dos Profissionais de Informatica

description: Material Suplementar
DOI: 10.5517/ccdc.csd.cc2d1gjg
title: CCDC 2205945: Experimental Crystal Structure Determination

description: Related Article: Hongjie Jiang, Xiaojuan Yu, Min Guo, Yang-Rong Yao, Qingyu Meng, Luis Echegoyen, Jochen Autschbach, Ning Chen|2023|J.Am.Chem.Soc.|145|5645|doi:10.1021/jacs.2c10231
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.cc2d1gmk
title: CCDC 2205948: Experimental Crystal Structure Determination

description: Related Article: Hongjie Jiang, Xiaojuan Yu, Min Guo, Yang-Rong Yao, Qingyu Meng, Luis Echegoyen, Jochen Autschbach, Ning Chen|2023|J.Am.Chem.Soc.|145|5645|doi:10.1021/jacs.2c10231
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.cc2d9jr0
title: CCDC 2213702: Experimental Crystal Structure Determination

description: Related Article: Yun Zhang, Xiaowei Pan, Min Xu, Chunyan Xiong, Dongjing Hong, Huayi Fang, Peng Cui|2023|Inorg.Chem.|62|3836|doi:10.1021/acs.inorgchem.2c04099
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.cc2d9js1
title: CCDC 2213703: Experimental Crystal Structure Determination

description: Related Article: Yun Zhang, Xiaowei Pan, Min Xu, Chunyan Xiong, Dongjing Hong, Huayi Fang, Peng Cui|2023|Inorg.Chem.|62|3836|doi:10.1021/acs.inorgchem.2c04099
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.cc2d9jt2
title: CCDC 2213704: Experimental Crystal Structure Determination

description: Related Article: Yun Zhang, Xiaowei Pan, Min Xu, Chunyan Xiong, Dongjing Hong, Huayi Fang, Peng Cui|2023|Inorg.Chem.|62|3836|doi:10.1021/acs.inorgchem.2c04099
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.cc2d9jv3
title: CCDC 2213705: Experimental Crystal Structure Determination

description: Related Article: Yun Zhang, Xiaowei Pan, Min Xu, Chunyan Xiong, Dongjing Hong, Huayi Fang, Peng Cui|2023|Inorg.Chem.|62|3836|doi:10.1021/acs.inorgchem.2c04099
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.cc2d9jw4
title: CCDC 2213706: Experimental Crystal Structure Determination

description: Related Article: Yun Zhang, Xiaowei Pan, Min Xu, Chunyan Xiong, Dongjing Hong, Huayi Fang, Peng Cui|2023|Inorg.Chem.|62|3836|doi:10.1021/acs.inorgchem.2c04099
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.cc2d9jx5
title: CCDC 2213707: Experimental Crystal Structure Determination

description: Related Article: Yun Zhang, Xiaowei Pan, Min Xu, Chunyan Xiong, Dongjing Hong, Huayi Fang, Peng Cui|2023|Inorg.Chem.|62|3836|doi:10.1021/acs.inorgchem.2c04099
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.cc2d9jy6
title: CCDC 2213708: Experimental Crystal Structure Determination

description: Related Article: Yun Zhang, Xiaowei Pan, Min Xu, Chunyan Xiong, Dongjing Hong, Huayi Fang, Peng Cui|2023|Inorg.Chem.|62|3836|doi:10.1021/acs.inorgchem.2c04099
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.cc2d9jz7
title: CCDC 2213709: Experimental Crystal Structure Determination

description: Related Article: Yun Zhang, Xiaowei Pan, Min Xu, Chunyan Xiong, Dongjing Hong, Huayi Fang, Peng Cui|2023|Inorg.Chem.|62|3836|doi:10.1021/acs.inorgchem.2c04099
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.cc2d9k09
title: CCDC 2213710: Experimental Crystal Structure Determination

description: Related Article: Yun Zhang, Xiaowei Pan, Min Xu, Chunyan Xiong, Dongjing Hong, Huayi Fang, Peng Cui|2023|Inorg.Chem.|62|3836|doi:10.1021/acs.inorgchem.2c04099
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.cc2d9k1b
title: CCDC 2213711: Experimental Crystal Structure Determination

description: Related Article: Yun Zhang, Xiaowei Pan, Min Xu, Chunyan Xiong, Dongjing Hong, Huayi Fang, Peng Cui|2023|Inorg.Chem.|62|3836|doi:10.1021/acs.inorgchem.2c04099
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.22301110
title: Food intake data.xlsx

description: The is the raw data for the ms " <strong>Context-dependent effects of thermal acclimation on physiological correlates of animal personality in Asiatic toads</strong>"
DOI: 10.6084/m9.figshare.22301125
title: Aster Data and Tile Data 2023.3.20.zip

description: Example data of <strong>GPU-based Algorithm for Integrating Raster Data in Hexagonal DGGS</strong>
DOI: 10.6084/m9.figshare.22301125.v1
title: Aster Data and Tile Data 2023.3.20.zip

description: Example data of <strong>GPU-based Algorithm for Integrating Raster Data in Hexagonal DGGS</strong>
DOI: 10.6084/m9.figshare.21351022
title: Tino rangatiratanga – a rural Māori community’s response to stroke: ‘I’m an invalid but I’m not invalid’

description: This article presents a community-led kaupapa Māori research project involving Whakatōhea and neighbouring rohe (areas). This project arose from a moemoeā (dream or vision) of Tawhai, a stroke survivor who wanted to help fellow stroke survivors. We began with a survey of stroke survivors, community members and service providers in Ōpōtiki and surrounding areas, investigating community knowledge of stroke, barriers and facilitators to recovery, and the availability and appropriateness of health services for stroke survivors in the area. The ultimate aim was to facilitate Māori stroke survivors and whānau (family) to support recent stroke survivors, and find funding to allow sustainable employment of stroke survivors in this capacity. Survey results depicted an isolated community with very poor knowledge of stroke and little access to stroke services. However, they also revealed a community that is determined to look after their own, improve outcomes, and has the support of local health and social service providers. Community-based discussions on the survey results resulted in a vision for <i>He Whare Oranga Tonutanga</i> – a place where Māori stroke survivors and whānau could come to contribute what they can and take what they need. Māori stroke survivors could be employed to provide mentoring and run the centre.
DOI: 10.6084/m9.figshare.21351022.v1
title: Tino rangatiratanga – a rural Māori community’s response to stroke: ‘I’m an invalid but I’m not invalid’

description: This article presents a community-led kaupapa Māori research project involving Whakatōhea and neighbouring rohe (areas). This project arose from a moemoeā (dream or vision) of Tawhai, a stroke survivor who wanted to help fellow stroke survivors. We began with a survey of stroke survivors, community members and service providers in Ōpōtiki and surrounding areas, investigating community knowledge of stroke, barriers and facilitators to recovery, and the availability and appropriateness of health services for stroke survivors in the area. The ultimate aim was to facilitate Māori stroke survivors and whānau (family) to support recent stroke survivors, and find funding to allow sustainable employment of stroke survivors in this capacity. Survey results depicted an isolated community with very poor knowledge of stroke and little access to stroke services. However, they also revealed a community that is determined to look after their own, improve outcomes, and has the support of local health and social service providers. Community-based discussions on the survey results resulted in a vision for <i>He Whare Oranga Tonutanga</i> – a place where Māori stroke survivors and whānau could come to contribute what they can and take what they need. Māori stroke survivors could be employed to provide mentoring and run the centre.
DOI: 10.34740/kaggle/dsv/5197471
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.26179/s5zj-zs36
title: Hydroacoustic data collected from Southern Ocean Cruises by the Australian Antarctic Division
DOI: 10.34740/kaggle/ds/3022206
title: Images DS
DOI: 10.5281/zenodo.7750220
title: MUSES Leaf Area Index (LAI) Monthly Global 500m SIN Grid in 2004

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 500m spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2004. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2003</strong></em><strong>, </strong>and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2005</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2004 Spatial Resolution: 500m Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).