cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20268738
title: Tokyo Vulerability and Healthcare Accessibility

description: The ongoing multi-wave COVID-19 pandemic has disproportional impacts on people with different demographic and socioeconomic background, and their access to healthcare facilities. Vulnerable neighborhoods with low healthcare access are places most needed for the enhancement of medical resources and services. Measuring vulnerability to COVID-19 and healthcare accessibility at the fine-grained level serves as the foundation for spatially explicit health planning and policy making in response to future public health crisis. Despite of its importance, the evaluation of vulnerability and healthcare accessibility is insufficient in Japan—a nation with high population density and super-aging challenge. Drawing on the latest 2022 census data at the smallest statistical unit, as well as transport network, medical and digital cadastral data, land use maps, and points of interest data, our study reformulates the concept of vulnerability in the context of COVID-19 and constructs the first fine-grained measure of vulnerability and healthcare accessibility in Tokyo Metropolis, Japan—the most popular metropolitan region in the world. We delineate the vulnerable neighborhoods with low healthcare access and further evaluate the disparity in healthcare access and built environment of areas at different levels of vulnerability. Our outcome datasets and findings provide nuanced and timely evidence to government and health authorities to have a holistic and latest understanding of social vulnerability to COVID-19 and healthcare access at a fine-grained level. Our analytical framework can be employed to different geographic contexts, guiding through the place-based health planning and policy making in the post-COVID era and beyond.
DOI: 10.6084/m9.figshare.19221852.v5
title: 3D City Index

description: We included how the framework is implemented and the results of data analysis in our paper.
DOI: 10.23708/fx1gwl
title: Distribution et traits caractéristiques des populations du palmier rônier Borassus akeassii dans le sud-ouest du Burkina Faso

description: Ces données ont été produites dans le cadre d’une thèse en écologie et ethnohistoire, intitulée « Le palmier rônier Borassus akeassii Bayton, Ouédr. & Guinko dans le sud-ouest du Burkina Faso, répartition, usages actuels et histoire de sa mise en culture » dont l’un des principaux objectifs scientifiques est de recenser et de cartographier les peuplements du rônier dans deux régions administratives au Burkina Faso. Elles portent sur les points GPS et les quelques traits caractéristiques des rôneraies de Borassus akeassii inventoriées dans ces deux régions administratives. Les coordonnées géographiques relevées correspondent approximativement au centre des peuplements.
DOI: 10.22029/jlupub-1978
title: Dataset Russian Booktube collected Aug-Oct. 2021
title: Видео русского буктьюба, набор данных о видео, собранный в августе-октябре 2021 г.

description: The data set was created in August-October 2021 as part of a research project on Russian Booktube. Research results will be published in the 14th issue of the peer-reviewed Apparatus Journal (2022:14) in Russian. Data on videos were collected with youtube-dl (development status August 2021). Only officially, public-accessed data were collected. Before collection, video channels were selected through field observation and qualitative and quantitative evaluation of relevant tags. The data for each video from these channels was downloaded in three phases: on 08/23/21, 09/14/21, and 10/07/21. The files EHAMIDY_RUSBOOKTUBE_WITH CLASSIFICATION.xlsx (31,5 MB) and EHAMIDY_RUSBOOKTUBE_WITH CLASSIFICATION.csv (93,1 MB) contain basic video information downloaded on 08/23/21, and information about views downloaded on 09/14/21 and 10/07/21. In addition, the files contain a classification of the videos by titles and tags. Two visualizations are published within the dataset: the visualization of the dataset as an interactive table (EHAMIDY_Booktube_dataset_interactive_table.html) and an interactive graph (EHAMIDY_Booktube_genres.html) showing the number of videos by date and category. Because both excel- and csv-files are large and contain Cyrillic letters they may cause errors if you open them in Excel. In Python, e.g. in Jupyter Notebooks they work perfectly.
DOI: 10.5519/qd.yz4vqla7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5996 records)
DOI: 10.5282/ubm/data.304
title: Dataset and analysis for Chapter 5 of Internal and external factors in a Bavarian sound change: Agent-based simulations and measurements in apparent time
DOI: 10.6084/m9.figshare.20268552
title: Data and R code - "Rising temperatures threaten pollinators of fig trees - keystone resources of tropical forests."

description: These files contain the data, metadata and code for the survival analysis performed with different pollinating fig wasp species, kept at different experimental temperatures.
DOI: 10.6084/m9.figshare.20268552.v2
title: Data and R code - "Rising temperatures threaten pollinators of fig trees - keystone resources of tropical forests."

description: These files contain the data, metadata and code for the survival analysis performed with different pollinating fig wasp species, kept at different experimental temperatures.
DOI: 10.6084/m9.figshare.20268552.v1
title: Data and R code - "Rising temperatures threaten pollinators of fig trees - keystone resources of tropical forests."

description: These files contain the data, metadata and code for the survival analysis performed with different pollinating fig wasp species, kept at different experimental temperatures.
DOI: 10.6084/m9.figshare.20269122
title: #iphone.csv

description: tweet streaming from twitter .
DOI: 10.6084/m9.figshare.20269122.v1
title: #iphone.csv

description: tweet streaming from twitter .
DOI: 10.5517/ccdc.csd.cc20pvm6
title: CCDC 1868048: Experimental Crystal Structure Determination

description: Related Article: Omar K. Farha, Satoshi Kato|2021|U.S.Patents|||
description: Related Article: Satoshi Kato,  Ken-ichi Otake,  Haoyuan Chen,  Isil Akpinar,  Cassandra T. Buru,  Timur Islamoglu,  Randall Q. Snurr,  and Omar K. Farha|2019|J.Am.Chem.Soc.|141|2568|doi:10.1021/jacs.8b12525
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.cc20pvn7
title: CCDC 1868049: Experimental Crystal Structure Determination

description: Related Article: Omar K. Farha, Satoshi Kato|2021|U.S.Patents|||
description: Related Article: Satoshi Kato,  Ken-ichi Otake,  Haoyuan Chen,  Isil Akpinar,  Cassandra T. Buru,  Timur Islamoglu,  Randall Q. Snurr,  and Omar K. Farha|2019|J.Am.Chem.Soc.|141|2568|doi:10.1021/jacs.8b12525
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.cc21nxtg
title: CCDC 1896946: Experimental Crystal Structure Determination

description: Related Article: Jiandong Pang, Zhengyi Di, Jun-Sheng Qin, Shuai Yuan, Christina T. Lollar, Jialuo Li, Peng Zhang, Mingyan Wu, Daqiang Yuan, Maochun Hong, Hong-Cai Zhou|2020|J.Am.Chem.Soc.|142|15020|doi:10.1021/jacs.0c05758
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.cc21nxvh
title: CCDC 1896947: Experimental Crystal Structure Determination

description: Related Article: Jiandong Pang, Zhengyi Di, Jun-Sheng Qin, Shuai Yuan, Christina T. Lollar, Jialuo Li, Peng Zhang, Mingyan Wu, Daqiang Yuan, Maochun Hong, Hong-Cai Zhou|2020|J.Am.Chem.Soc.|142|15020|doi:10.1021/jacs.0c05758
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.cc21nxwj
title: CCDC 1896948: Experimental Crystal Structure Determination

description: Related Article: Jiandong Pang, Zhengyi Di, Jun-Sheng Qin, Shuai Yuan, Christina T. Lollar, Jialuo Li, Peng Zhang, Mingyan Wu, Daqiang Yuan, Maochun Hong, Hong-Cai Zhou|2020|J.Am.Chem.Soc.|142|15020|doi:10.1021/jacs.0c05758
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.cc21nxxk
title: CCDC 1896949: Experimental Crystal Structure Determination

description: Related Article: Jiandong Pang, Zhengyi Di, Jun-Sheng Qin, Shuai Yuan, Christina T. Lollar, Jialuo Li, Peng Zhang, Mingyan Wu, Daqiang Yuan, Maochun Hong, Hong-Cai Zhou|2020|J.Am.Chem.Soc.|142|15020|doi:10.1021/jacs.0c05758
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.cc25k3sn
title: CCDC 2012451: Experimental Crystal Structure Determination

description: Related Article: Giasemi K. Angeli, Danai Batzavali, Katerina Mavronasou, Constantinos Tsangarakis, Tobias Stuerzer, Holger Ott, Pantelis N. Trikalitis|2020|J.Am.Chem.Soc.|142|15986|doi:10.1021/jacs.0c07081
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.cc25k3tp
title: CCDC 2012452: Experimental Crystal Structure Determination

description: Related Article: Giasemi K. Angeli, Danai Batzavali, Katerina Mavronasou, Constantinos Tsangarakis, Tobias Stuerzer, Holger Ott, Pantelis N. Trikalitis|2020|J.Am.Chem.Soc.|142|15986|doi:10.1021/jacs.0c07081
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.cc25k3vq
title: CCDC 2012453: Experimental Crystal Structure Determination

description: Related Article: Giasemi K. Angeli, Danai Batzavali, Katerina Mavronasou, Constantinos Tsangarakis, Tobias Stuerzer, Holger Ott, Pantelis N. Trikalitis|2020|J.Am.Chem.Soc.|142|15986|doi:10.1021/jacs.0c07081
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.cc25k3wr
title: CCDC 2012454: Experimental Crystal Structure Determination

description: Related Article: Giasemi K. Angeli, Danai Batzavali, Katerina Mavronasou, Constantinos Tsangarakis, Tobias Stuerzer, Holger Ott, Pantelis N. Trikalitis|2020|J.Am.Chem.Soc.|142|15986|doi:10.1021/jacs.0c07081
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.cc25k3xs
title: CCDC 2012455: Experimental Crystal Structure Determination

description: Related Article: Giasemi K. Angeli, Danai Batzavali, Katerina Mavronasou, Constantinos Tsangarakis, Tobias Stuerzer, Holger Ott, Pantelis N. Trikalitis|2020|J.Am.Chem.Soc.|142|15986|doi:10.1021/jacs.0c07081
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.cc25k3yt
title: CCDC 2012456: Experimental Crystal Structure Determination

description: Related Article: Giasemi K. Angeli, Danai Batzavali, Katerina Mavronasou, Constantinos Tsangarakis, Tobias Stuerzer, Holger Ott, Pantelis N. Trikalitis|2020|J.Am.Chem.Soc.|142|15986|doi:10.1021/jacs.0c07081
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.cc25zk2t
title: CCDC 2025356: Experimental Crystal Structure Determination

description: Related Article: Weijun Ke, Cong Chen, Ioannis Spanopoulos, Lingling Mao, Ido Hadar, Xiaotong Li, Justin M. Hoffman, Zhaoning Song, Yanfa Yan, Mercouri G. Kanatzidis|2020|J.Am.Chem.Soc.|142|15049|doi:10.1021/jacs.0c06288
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: 10.25919/qymr-bv19
title: Parkes observations for project P595 semester 2022APRS_05

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.6084/m9.figshare.20269170
title: Selected label

description: <strong>Images with rotation-determinism</strong>
DOI: 10.6084/m9.figshare.20269170.v1
title: Selected label

description: <strong>Images with rotation-determinism</strong>
DOI: 10.5281/zenodo.6810868
title: Aggregated Network and Application Twitch.tv Live Streaming Dataset

description: This dataset contains application and network measurements of 6,982 individual Twitch.tv streaming sessions of 222 different streamers summing up to more than 1,000h live streaming. The data are aggregated to uplink requests.
DOI: 10.5281/zenodo.6810867
title: Aggregated Network and Application Twitch.tv Live Streaming Dataset

description: This dataset contains application and network measurements of 6,982 individual Twitch.tv streaming sessions of 222 different streamers summing up to more than 1,000h live streaming. The data are aggregated to uplink requests.
DOI: 10.5281/zenodo.6810762
title: Data for the paper "Optimization of quasisymmetric stellarators with self-consistent bootstrap current and energetic particle confinement"

description: Data for the paper "Optimization of quasisymmetric stellarators with self-consistent bootstrap current and energetic particle confinement"
DOI: 10.5281/zenodo.6520103
title: Data for the paper "Optimization of quasisymmetric stellarators with self-consistent bootstrap current and energetic particle confinement"

description: Data for the paper "Optimization of quasisymmetric stellarators with self-consistent bootstrap current and energetic particle confinement"
DOI: 10.6084/m9.figshare.20269532
title: Thermal history of the southern Antarctic Peninsula during Cenozoic oblique subduction

description: Excel file containing tables S1, S2, S3 and QTQt thermal models.
DOI: 10.6084/m9.figshare.20269532.v1
title: Thermal history of the southern Antarctic Peninsula during Cenozoic oblique subduction

description: Excel file containing tables S1, S2, S3 and QTQt thermal models.
DOI: 10.6084/m9.figshare.19248619
title: Enhancing acid fracture design in carbonate formation using a dynamic up-scaling procedure to convert discrete fracture network to dual continuum

description: For a low-permeability carbonate formation, the acid fracture process is simulated through coupling a commercial acid fracture simulator (GOHFER) to a finite volume reservoir simulator (IMEX). Unlike LGR (Local grid refinement) approach that suffers from severe convergence problems, a dynamic up-scaling procedure is employed to convert the discrete fracture network (DFN) model into a dual continuum model for our simulation. In this paper, multiple simulations are used to optimize the acid fracture schedule parameters, such as fluid volume, flow rate, perforation location, number of injection steps, and acid type, in order to maximize the effective fracture length. For four points perforation as the relevant operation case in this work, acid fracturing consumes 44 Mgal acid volume at a rate of 25 bpm at a 20 ft interval, resulting in a 3.5-fold increase in well productivity index (PI). Based on experimental relative permeability data, two models of fine and medium grid sizes are employed to be compared with the LGR method. The results have shown that these models are 22 and 54 times faster than LGR, however, the latter has a deviation of less than 5% which is quite acceptable.
DOI: 10.6084/m9.figshare.19248619.v2
title: Enhancing acid fracture design in carbonate formation using a dynamic up-scaling procedure to convert discrete fracture network to dual continuum

description: For a low-permeability carbonate formation, the acid fracture process is simulated through coupling a commercial acid fracture simulator (GOHFER) to a finite volume reservoir simulator (IMEX). Unlike LGR (Local grid refinement) approach that suffers from severe convergence problems, a dynamic up-scaling procedure is employed to convert the discrete fracture network (DFN) model into a dual continuum model for our simulation. In this paper, multiple simulations are used to optimize the acid fracture schedule parameters, such as fluid volume, flow rate, perforation location, number of injection steps, and acid type, in order to maximize the effective fracture length. For four points perforation as the relevant operation case in this work, acid fracturing consumes 44 Mgal acid volume at a rate of 25 bpm at a 20 ft interval, resulting in a 3.5-fold increase in well productivity index (PI). Based on experimental relative permeability data, two models of fine and medium grid sizes are employed to be compared with the LGR method. The results have shown that these models are 22 and 54 times faster than LGR, however, the latter has a deviation of less than 5% which is quite acceptable.
DOI: 10.6084/m9.figshare.19115146
title: The impact of micronized progesterone on cardiovascular events – a systematic review

description: Biologically identical menopausal hormone therapy (MHT) including micronized progesterone (MP) has gained much attention. We aimed to assess the impact of MP in combined MHT on venous and arterial thromboembolism (VTE/ATE) (e.g. deep venous thrombosis/pulmonary embolism, myocardial infarction [MI] and ischemic stroke). Articles were eligible if they provided endpoints regarding cardiovascular events and use of exogenous MP. Literature searches were designed and executed for the databases Medline, Embase, CINAHL, the Cochrane Library, ClinicalTrials.gov and interdisciplinary database Web of Science. Twelve studies consisting of randomized controlled trials (RCTs), case–control studies and prospective or retrospective cohort studies were included, and risk of bias was assessed. Only a minority assessed thromboembolic events as a primary endpoint, showing that in contrast to norpregnane derivatives, primary and recurrent VTE risk was not altered by combining estrogens with MP, which was also true for ischemic stroke risk. Similarly, in placebo-controlled RCTs assessing VTE/ATE as adverse events there were no significant intergroup differences. Studies on MI as a primary endpoint are missing. In conclusion, while available data suggest that MP as a component in combined MHT may have a neutral effect on the vascular system, more RCTs investigating the impact of MP alone or in combined MHT on vascular primary endpoints are needed.
DOI: 10.6084/m9.figshare.19115146.v1
title: The impact of micronized progesterone on cardiovascular events – a systematic review

description: Biologically identical menopausal hormone therapy (MHT) including micronized progesterone (MP) has gained much attention. We aimed to assess the impact of MP in combined MHT on venous and arterial thromboembolism (VTE/ATE) (e.g. deep venous thrombosis/pulmonary embolism, myocardial infarction [MI] and ischemic stroke). Articles were eligible if they provided endpoints regarding cardiovascular events and use of exogenous MP. Literature searches were designed and executed for the databases Medline, Embase, CINAHL, the Cochrane Library, ClinicalTrials.gov and interdisciplinary database Web of Science. Twelve studies consisting of randomized controlled trials (RCTs), case–control studies and prospective or retrospective cohort studies were included, and risk of bias was assessed. Only a minority assessed thromboembolic events as a primary endpoint, showing that in contrast to norpregnane derivatives, primary and recurrent VTE risk was not altered by combining estrogens with MP, which was also true for ischemic stroke risk. Similarly, in placebo-controlled RCTs assessing VTE/ATE as adverse events there were no significant intergroup differences. Studies on MI as a primary endpoint are missing. In conclusion, while available data suggest that MP as a component in combined MHT may have a neutral effect on the vascular system, more RCTs investigating the impact of MP alone or in combined MHT on vascular primary endpoints are needed.
DOI: 10.24400/802406/nrrs-pm80
title: ROSETTA RPC-MIP Instrument Configuration Tables (CDF)

description: This dataset contains operational parameters for the instrument (corresponding to a TC sent from ground). Change in operational parameters can have an impact on data time resolution, sensitivity and can influence the instrument response.