cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/4312303
title: 2021 World Population (updated daily)
DOI: 10.3886/e113349v1-129120
title: Replication data for: The Retirement Consumption Puzzle: Evidence from a Regression Discontinuity Approach

description: We investigate the size of the consumption drop at retirement in Italy by exploiting pension eligibility information to correct for endogenous retirement. We take a regression discontinuity approach and assume that spending would be smooth around pension eligibility if individuals did not retire. We estimate a 9.8 percent drop associated to retirement. This fall is not driven by liquidity problems for the less well off and can be accounted for by drops in work-related expenses. Retirement also induces a significant drop in the number of grown children living with their parents and this explains most of the retirement consumption drop. (JEL D91, E21, J26, J31)
DOI: 10.6084/m9.figshare.20585244
title: Supplementary Material for: Effects of Intranasal Insulin Administration on Cerebral Blood Flow and Cognitive Performance in Adults: A Systematic Review of Randomized, Placebo-Controlled Intervention Studies

description: Introduction. Brain insulin resistance is an important hallmark of age-related conditions, including type 2 diabetes (T2D) and dementia. This systematic review summarized effects of cerebral blood flow (CBF) responses to intranasal insulin to assess brain insulin sensitivity in healthy and diseased populations. We also explored relationships between changes in brain insulin sensitivity and cognitive performance. Methods. A systemic literature search (PROSPERO: CRD42022309770) identified 58 randomized, placebo-controlled trials (RCTs) that investigated effects of intranasal insulin on (regional) CBF, cognitive performance, and systemic spill-over in adults. Results. Acute intranasal insulin did not affect whole-brain CBF in healthy adults, but increased regional CBF of the inferior frontal gyrus, dorsal striatum and insular cortex, and reduced CBF around the middle frontal gyrus and hypothalamus. Obese adults showed increased CBF responses following internasal insulin for the middle frontal gyrus, but decreased CBF for hypothalamic and cortico-limbic regions. Furthermore, increased CBF responses were reported for the insular cortex in T2D patients, and for occipital and thalamic regions in older adults. The spray also improved memory and executive function, but a causal relation with regional CBF still needs to be established. Finally, intranasal insulin resulted in only a small amount of systemic spill-over, which is unlikely to have an impact on the observed findings. Conclusions. Region-specific changes in CBF after intranasal insulin administration were affected by obesity, T2D, and normal aging, indicating altered brain insulin sensitivity. Future RCTs should investigate longer-term effects of intranasal insulin and explore potential associations between effects on CBF and cognitive performance.
DOI: 10.6084/m9.figshare.20585244.v1
title: Supplementary Material for: Effects of Intranasal Insulin Administration on Cerebral Blood Flow and Cognitive Performance in Adults: A Systematic Review of Randomized, Placebo-Controlled Intervention Studies

description: Introduction. Brain insulin resistance is an important hallmark of age-related conditions, including type 2 diabetes (T2D) and dementia. This systematic review summarized effects of cerebral blood flow (CBF) responses to intranasal insulin to assess brain insulin sensitivity in healthy and diseased populations. We also explored relationships between changes in brain insulin sensitivity and cognitive performance. Methods. A systemic literature search (PROSPERO: CRD42022309770) identified 58 randomized, placebo-controlled trials (RCTs) that investigated effects of intranasal insulin on (regional) CBF, cognitive performance, and systemic spill-over in adults. Results. Acute intranasal insulin did not affect whole-brain CBF in healthy adults, but increased regional CBF of the inferior frontal gyrus, dorsal striatum and insular cortex, and reduced CBF around the middle frontal gyrus and hypothalamus. Obese adults showed increased CBF responses following internasal insulin for the middle frontal gyrus, but decreased CBF for hypothalamic and cortico-limbic regions. Furthermore, increased CBF responses were reported for the insular cortex in T2D patients, and for occipital and thalamic regions in older adults. The spray also improved memory and executive function, but a causal relation with regional CBF still needs to be established. Finally, intranasal insulin resulted in only a small amount of systemic spill-over, which is unlikely to have an impact on the observed findings. Conclusions. Region-specific changes in CBF after intranasal insulin administration were affected by obesity, T2D, and normal aging, indicating altered brain insulin sensitivity. Future RCTs should investigate longer-term effects of intranasal insulin and explore potential associations between effects on CBF and cognitive performance.
DOI: 10.5255/ukda-sn-855059
title: Sustainable Poverty Alleviation From Coastal Ecosystem Services: Coral Reef and Fisheries, 2013-2017

description: Ecological underwater surveys inform us about the abundance of the coral, algae, and fish communities on the reefs at the coral sites in Kongowea, Mkwiro, Vamizi, and Pemba. The data provides a measure of the stocks of many of the ecosystem service chains and allows us to interpret how human activity has impacted on ecosystem processes. From a fisheries perspective, it is a second way, along with the fish catch surveys, to assess the status and sustainability of local fisheries. Landings data was collected on how many people are fishing, how long they are fishing, what types of fishing gear and vessels they are using, and how much fish they are catching and of what size and species.
DOI: 10.5255/ukda-sn-855061
title: Sustainable Poverty Alleviation From Coastal Ecosystem Services: Mangrove Activities, 2013–2017

description: Mangroves provide important socio-ecological services to coastal communities, such as coastal line protection, fish, shrimp and crab fishery, provide domestic fuel and building material. If excessive, the extractive exploitation of mangrove resources can lead to substantial changes in the forest structure of mangrove forests, and can also impair the provision of ecological services. The mangrove data collected throughout the SPACES project (Forest structure and condition; Soil carbon) has been used to quantify the transformations that occurred on mangroves in peri-urban and rural sites and used to compare the sites.
DOI: 10.5281/zenodo.7185428
title: Example subjects for Mobilise-D data standardization

description: Standardized data from Mobilise-D participants (YAR dataset) and pre-existing datasets (ICICLE, MSIPC2, Gait in Lab and real-life settings, MS project, UNISS-UNIGE) are provided in the shared folder, as an example of the procedures proposed in the publication "Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization" that is currently under review in Scientific data. Please refer to that publication for further information. Please cite that publication if using these data. The code to standardize an example subject (for the ICICLE dataset) and to open the standardized Matlab files in other languages (Python, R) is available in github (https://github.com/luca-palmerini/Procedure-wearable-data-standardization-Mobilise-D).
description: This work was supported by the Mobilise-D project that has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 820820. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation program and the European Federation of Pharmaceutical Industries and Associations (EFPIA). Content in this publication reflects the authors' view and neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein.
DOI: 10.5281/zenodo.7185216
title: Influence of the Canossa-San Romano Fault on the Quaternary deposits of the Roteglia Terrace (Northern Apennines, Italy)

description: Data of publication in Atti della Soc. dei Nat. e Mat. di Modena, 153 (2022), pp. 49-66.
description: Dataset of publication
DOI: 10.5281/zenodo.7185217
title: Influence of the Canossa-San Romano Fault on the Quaternary deposits of the Roteglia Terrace (Northern Apennines, Italy)

description: Data of publication in Atti della Soc. dei Nat. e Mat. di Modena, 153 (2022), pp. 49-66.
description: Dataset of publication
DOI: 10.5281/zenodo.7185494
title: Influence of the Canossa-San Romano Fault on the Quaternary deposits of the Roteglia Terrace (Northern Apennines, Italy)

description: Data of publication in Atti della Soc. dei Nat. e Mat. di Modena, 153 (2022), pp. 49-66.
description: Dataset of publication
DOI: 10.6084/m9.figshare.21028428
title: Extremal Dependence-Based Specification Testing of Time Series

description: We propose a specification test for conditional location–scale models based on extremal dependence properties of the standardized residuals. We do so comparing the left-over serial extremal dependence—as measured by the pre-asymptotic tail copula—with that arising under serial independence at different lags. Our main theoretical results show that the proposed Portmanteau-type test statistics have nuisance parameter-free asymptotic limits. The test statistics are easy to compute, as they only depend on the standardized residuals, and critical values are likewise easily obtained from the limiting distributions. This contrasts with some extant tests (based, e.g., on autocorrelations of squared residuals), where test statistics depend on the parameter estimator of the model and critical values may need to be bootstrapped. We show that our tests perform well in simulations. An empirical application to S&P 500 constituents illustrates that our tests can uncover violations of residual serial independence that are not picked up by standard autocorrelation-based specification tests, yet are relevant when the model is used for, for example, risk forecasting.
DOI: 10.6084/m9.figshare.15124871
title: A robust and efficient variable selection method for linear regression

description: Variable selection is fundamental to high dimensional statistical modeling, and many approaches have been proposed. However, existing variable selection methods do not perform well in presence of outliers in response variable or/and covariates. In order to ensure a high probability of correct selection and efficient parameter estimation, we investigate a robust variable selection method based on a modified Huber's function with an exponential squared loss tail. We also prove that the proposed method has oracle properties. Furthermore, we carry out simulation studies to evaluate the performance of the proposed method for both <i>p</i>&lt;<i>n</i> and <i>p</i>&gt;<i>n</i>. Our simulation results indicate that the proposed method is efficient and robust against outliers and heavy-tailed distributions. Finally, a real dataset from an air pollution mortality study is used to illustrate the proposed method.
DOI: 10.6084/m9.figshare.15124871.v1
title: A robust and efficient variable selection method for linear regression

description: Variable selection is fundamental to high dimensional statistical modeling, and many approaches have been proposed. However, existing variable selection methods do not perform well in presence of outliers in response variable or/and covariates. In order to ensure a high probability of correct selection and efficient parameter estimation, we investigate a robust variable selection method based on a modified Huber's function with an exponential squared loss tail. We also prove that the proposed method has oracle properties. Furthermore, we carry out simulation studies to evaluate the performance of the proposed method for both <i>p</i>&lt;<i>n</i> and <i>p</i>&gt;<i>n</i>. Our simulation results indicate that the proposed method is efficient and robust against outliers and heavy-tailed distributions. Finally, a real dataset from an air pollution mortality study is used to illustrate the proposed method.
DOI: 10.5445/ir/1000151145
title: Reproduction Package for the Dissertation on Consistent View-Based Management of Variability in Space and Time

description: This reproduction package provides different artifacts for the evaluation of the dissertation "Consistent View-Based Management of Variability in Space and Time". It contains source code, input data, ground truth, precomputed results and a prepared Eclipse IDE for reproducing the evaluation results of the unified approach presented in the dissertation.
DOI: 10.6084/m9.figshare.21311721
title: Bat_classified_radar_data

description: bat classified israel birdscan data
DOI: 10.6084/m9.figshare.21311721.v1
title: Bat_classified_radar_data

description: bat classified israel birdscan data
DOI: 10.5517/ccdc.csd.cc28drk0
title: CCDC 2097632: Experimental Crystal Structure Determination

description: Related Article: Naoya Ito, Takahiko Hashizuka, Masataka Ito, Hironori Suzuki, Shuji Noguchi|2021|Pharm. Res.|38|2147|doi:10.1007/s11095-021-03151-4
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.cc28ytjl
title: CCDC 2114030: Experimental Crystal Structure Determination

description: Related Article: Sudhakar Ganta, Jan-Hendrik Borter, Christoph Drechsler, Julian J. Holstein, Dirk Schwarzer, Guido H. Clever|2022|Org.Chem.Front.|9|5485|doi:10.1039/D2QO01339H
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.cc28zys0
title: CCDC 2115123: Experimental Crystal Structure Determination

description: Related Article: Deyun Cui, Ying Feng, Yu Gan, Jiaqi Yin, Wanshu Wang, Yu Fan, Lu Gao, Bowen Ke, Zhenlei Song|2022|Org.Chem.Front.|9|5453|doi:10.1039/D2QO01075E
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.cc28zyv2
title: CCDC 2115125: Experimental Crystal Structure Determination

description: Related Article: Deyun Cui, Ying Feng, Yu Gan, Jiaqi Yin, Wanshu Wang, Yu Fan, Lu Gao, Bowen Ke, Zhenlei Song|2022|Org.Chem.Front.|9|5453|doi:10.1039/D2QO01075E
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.cc2bcywk
title: CCDC 2156449: Experimental Crystal Structure Determination

description: Related Article: Wan Xu, Jichang Wei, Kun Tang, Zhiying Ma, Jianwu Shi, Chunli Li, Hua Wang|2022|Org.Chem.Front.|9|5578|doi:10.1039/D2QO01208A
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.cc2bcyxl
title: CCDC 2156450: Experimental Crystal Structure Determination

description: Related Article: Wan Xu, Jichang Wei, Kun Tang, Zhiying Ma, Jianwu Shi, Chunli Li, Hua Wang|2022|Org.Chem.Front.|9|5578|doi:10.1039/D2QO01208A
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.cc2bcyym
title: CCDC 2156451: Experimental Crystal Structure Determination

description: Related Article: Wan Xu, Jichang Wei, Kun Tang, Zhiying Ma, Jianwu Shi, Chunli Li, Hua Wang|2022|Org.Chem.Front.|9|5578|doi:10.1039/D2QO01208A
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.cc2bcyzn
title: CCDC 2156452: Experimental Crystal Structure Determination

description: Related Article: Wan Xu, Jichang Wei, Kun Tang, Zhiying Ma, Jianwu Shi, Chunli Li, Hua Wang|2022|Org.Chem.Front.|9|5578|doi:10.1039/D2QO01208A
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.cc2bmmh3
title: CCDC 2163815: Experimental Crystal Structure Determination

description: Related Article: Xiang Zhao, Xuelin Yue, Zeng Han, Yadong Feng, Ting Gao, Sanshu Li, Xiuling Cui|2022|Org.Chem.Front.|9|5617|doi:10.1039/D2QO01258H
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.cc2bmmj4
title: CCDC 2163816: Experimental Crystal Structure Determination

description: Related Article: Xiang Zhao, Xuelin Yue, Zeng Han, Yadong Feng, Ting Gao, Sanshu Li, Xiuling Cui|2022|Org.Chem.Front.|9|5617|doi:10.1039/D2QO01258H
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.cc2bn0qr
title: CCDC 2164194: Experimental Crystal Structure Determination

description: Related Article: Gibae Kim, Grim Lee, Gyudong Kim, Yeonseong Seo, Dnyandev B. Jarhad, Lak Shin Jeong|2022|Org.Chem.Front.|9|5536|doi:10.1039/D2QO00823H
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.cc2bn0st
title: CCDC 2164196: Experimental Crystal Structure Determination

description: Related Article: Gibae Kim, Grim Lee, Gyudong Kim, Yeonseong Seo, Dnyandev B. Jarhad, Lak Shin Jeong|2022|Org.Chem.Front.|9|5536|doi:10.1039/D2QO00823H
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.cc2bpcv8
title: CCDC 2165500: Experimental Crystal Structure Determination

description: Related Article: Masanobu Muraoka|2022|CSD Communication|||
description: Related Article: Masanobu Muraoka, Masahide Goto, Masaki Minami, Dayang Zhou, Takeyuki Suzuki, Tatsuo Yajima, Jun'ichi Hayashi, Hiromitsu Sogawa, Fumio Sanda|2022|Polym.Chem.|13|5590|doi:10.1039/D2PY00840H
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.cc2btw02
title: CCDC 2169814: Experimental Crystal Structure Determination

description: Related Article: Bo Zhu, Huihui Fan, Yanan Ding, Yubing Zhai, Le Wang, Mengqi Wang, Gongming Zhu, Junbiao Chang|2022|Org.Chem.Front.|9|5544|doi:10.1039/D2QO00993E
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.cc2bzgwp
title: CCDC 2174243: Experimental Crystal Structure Determination

description: Related Article: Yi Yu, Yi-Min Jiang, Xiao-Bin Zhu, Yong-Ying Lin, Yaofeng Yuan, Ke-Yin Ye|2022|Org.Chem.Front.|9|5586|doi:10.1039/D2QO01111E
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.cc2c04r9
title: CCDC 2174890: Experimental Crystal Structure Determination

description: Related Article: Ming Chen, Xing-Xing Xu, Xucai Wang, Zhi-Hui Ren, Zheng-Hui Guan|2022|Org.Chem.Front.|9|5557|doi:10.1039/D2QO00998F
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.cc2c1l23
title: CCDC 2176264: Experimental Crystal Structure Determination

description: Related Article: Tao Jin, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2022|Org.Chem.Front.|9|5611|doi:10.1039/D2QO01199A
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.