cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc1kqt69
title: CCDC 1451891: Experimental Crystal Structure Determination

description: Related Article: Li-Juan Tang, Bao-Hua Qian, Gui-Zhen Ma, Wei-Wei Liu|2016|Jiegou Huaxue|35|645|
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: 10.5258/soton/383517
title: Motion data collected by Raspberry Pi in Poole Harbour

description: This csv file contains the data collected by the Raspberry Pi using a GY-85 IMU. This includes accelerometer, gyroscope and  magnetometer readings
DOI: 10.5258/soton/384516
title: Giant optical nonlinearity in a superconducting sub-THz metamaterial

description: This data included CSV files and scripts (.py files, Python language, freely available) which extracts the data from the CSV and plots it.
DOI: 10.5517/cc1kpzt1
title: CCDC 1451104: Experimental Crystal Structure Determination

description: Related Article: Ezzat Khan, Sher Ali Khan, Muhammad Zahoor, Muhammad Nawaz Tahir, Awal Noor, Ataf Ali Altaf|2018|J.Coord.Chem.|71|2658|doi:10.1080/00958972.2018.1501562
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/cc1kpzv2
title: CCDC 1451105: Experimental Crystal Structure Determination

description: Related Article: Ezzat Khan, Sher Ali Khan, Muhammad Zahoor, Muhammad Nawaz Tahir, Awal Noor, Ataf Ali Altaf|2018|J.Coord.Chem.|71|2658|doi:10.1080/00958972.2018.1501562
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: 10.5258/soton/385975
title: High-order dispersion in sub-200-fs pulsed VECSELs

description: This database contains the data presented (Figures 2,3,4,6 and 7) in the conference proceedings of SPIE Photonics West 2016 with the same title "High-order dispersion in sub-200-fs pulsed VECSELs" [Paper #9734-7]

Abstract:
We present a VECSEL based on a gain sample design which utilizes only a single-layer dielectric Al2O3 coating for dispersion management. The gain structure generated pulse durations down to 193 fs in combination with a surface-recombination SESAM, with an average power of 400 mW at 1.6 GHz setting a new peak power record for sub-200 fs mode-locked VECSELs. The pulses obtained were, however, 2x transform-limited and a further FROG measurement of a similar laser is presented revealing a linear chirp and cubic spectral phase.
DOI: 10.5517/cc1kq0pz
title: CCDC 1451131: Experimental Crystal Structure Determination

description: Related Article: Feng Hu, Pengtao Ma, Mengdan Han, Rong Wan, Jingping Wang and Jingyang Niu|2016|CSD Communication|||
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: 10.5258/soton/382871
title: Four-Wave-Mixing Enhancement in Optical Microfibers

description: Dataset for a paper submission for the Optical Fiber Communication Conference and Exposition
DOI: 10.5258/soton/383899
title: Learning transfer-based adaptive energy minimization in embedded systems

description: Embedded systems execute applications with different performance requirements. These applications exercise the hardware differently depending on the types of computation being carried out, generating varying workloads with time. We will demonstrate that energy minimization with such workload and performance variations within (intra) and across (inter) applications is particularly challenging. To address this challenge we propose an online energy minimization approach, capable of minimizing energy through adaptation to these variations. At the core of the approach is an initial learning through reinforcement learning algorithm that suitably selects the appropriate voltage/frequency scalings (VFS) based on workload predictions to meet the applications’ performance requirements. The adaptation is then facilitated and expedited through learning transfer, which uses the interaction between the system application, runtime and hardware layers to adjust the power control levers. The proposed approach is implemented as a power governor in Linux and validated on an ARM Cortex-A8 running different benchmark applications. We show that with intra- and inter-application variations, our proposed approach can effectively minimize energy consumption by up to 33% compared to existing approaches. Scaling the approach further to multi-core systems, we also show that it can minimize energy by up to 18% with 2X reduction in the learning time when compared with a recently reported approach.
DOI: 10.5258/soton/386773
title: Raw data for: 'Towards monolithic integration of germanium light sources on silicon chips'

description: This dataset contains the raw data of the three-dimensional simulations presented in the corresponding review paper: 'Towards monolithic integration of germanium light sources on silicon chips'.
The simulated value is the volumetric strain, or the summation of the three normal strain components along x, y, and z axes.
DOI: 10.5517/cc1jxcg8
title: CCDC 1427440: Experimental Crystal Structure Determination

description: Related Article: Christopher J. Miller, Ujwal Chadha, Jordan R. Ulibarri-Sanchez, Diane A. Dickie, Richard A. Kemp|2016|Polyhedron|114|351|doi:10.1016/j.poly.2016.01.028
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/cc1jxch9
title: CCDC 1427441: Experimental Crystal Structure Determination

description: Related Article: Christopher J. Miller, Ujwal Chadha, Jordan R. Ulibarri-Sanchez, Diane A. Dickie, Richard A. Kemp|2016|Polyhedron|114|351|doi:10.1016/j.poly.2016.01.028
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/cc1jxcjb
title: CCDC 1427442: Experimental Crystal Structure Determination

description: Related Article: Christopher J. Miller, Ujwal Chadha, Jordan R. Ulibarri-Sanchez, Diane A. Dickie, Richard A. Kemp|2016|Polyhedron|114|351|doi:10.1016/j.poly.2016.01.028
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/cc1jxckc
title: CCDC 1427443: Experimental Crystal Structure Determination

description: Related Article: Christopher J. Miller, Ujwal Chadha, Jordan R. Ulibarri-Sanchez, Diane A. Dickie, Richard A. Kemp|2016|Polyhedron|114|351|doi:10.1016/j.poly.2016.01.028
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/cc1jxcld
title: CCDC 1427444: Experimental Crystal Structure Determination

description: Related Article: Christopher J. Miller, Ujwal Chadha, Jordan R. Ulibarri-Sanchez, Diane A. Dickie, Richard A. Kemp|2016|Polyhedron|114|351|doi:10.1016/j.poly.2016.01.028
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/cc1jxcmf
title: CCDC 1427445: Experimental Crystal Structure Determination

description: Related Article: Christopher J. Miller, Ujwal Chadha, Jordan R. Ulibarri-Sanchez, Diane A. Dickie, Richard A. Kemp|2016|Polyhedron|114|351|doi:10.1016/j.poly.2016.01.028
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/cc1jxcng
title: CCDC 1427446: Experimental Crystal Structure Determination

description: Related Article: Christopher J. Miller, Ujwal Chadha, Jordan R. Ulibarri-Sanchez, Diane A. Dickie, Richard A. Kemp|2016|Polyhedron|114|351|doi:10.1016/j.poly.2016.01.028
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: 10.3886/icpsr36319.v1
title: General Social Survey, 1972-2014 [Cumulative File]
title: Version 1

description: Since 1972, the General Social Survey (GSS) has been monitoring societal change and studying the growing complexity of American society. The GSS aims to gather data on contemporary American society in order to monitor and explain trends and constants in attitudes, behaviors, and attributes; to examine the structure and functioning of society in general as well as the role played by relevant subgroups; to compare the United States to other societies in order to place American society in comparative perspective and develop cross-national models of human society; and to make high-quality data easily accessible to scholars, students, policy makers, and others, with minimal cost and waiting. GSS questions include such items as national spending priorities, marijuana use, crime and punishment, race relations, quality of life, and confidence in institutions. Since 1988, the GSS has also collected data on sexual behavior including number of sex partners, frequency of intercourse, extramarital relationships, and sex with prostitutes. The 2014 GSS has modules on quality of working life, shared capitalism, wealth, work and family balance, social identity, social isolation, and civic participation. In 1985 the GSS co-founded the International Social Survey Program (ISSP). The ISSP has conducted an annual cross-national survey each year since then and has involved 58 countries and interviewed over one million respondents. The ISSP asks an identical battery of questions in all countries; the U.S. version of these questions is incorporated into the GSS. The 2014 ISSP topics are National Identity and Citizenship. Demographic variables include age, gender, race, ethnicity, education, marital status, religion, employment status, income, household structure, and whether respondents were born in the United States.
description: Due to the number of weights and the various uses for them, users should refer to Appendix A of the ICPSR Codebook.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes..
description: Datasets: 
 
 DS1: General Social Survey, 1972-2014 [Cumulative File]
description: General Social Survey Series
description: computer-assisted personal interview (CAPI), face-to-face interview, telephone interview 
 Please note that NORC may have updated the General Social Survey data files. Additional information regarding the General Social Surveys can be found at the General Social Survey (GSS) website.
description: All noninstitutionalized, English and Spanish speaking persons 18 years of age or older, living in the United States. Smallest Geographic Unit: census region
description: For sampling information, please see Appendix A of the ICPSR Codebook.
DOI: 10.5517/cc1kqvrw
title: CCDC 1451939: Experimental Crystal Structure Determination

description: Related Article: Ratnamala S. Bendre, Samina K. Tadavi|2016|CSD Communication|||
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/cc1kqy07
title: CCDC 1452009: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2016|CSD Communication|||
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/cc1kqy18
title: CCDC 1452010: Experimental Crystal Structure Determination

description: Related Article: Zhang Bin|2016|CSD Communication|||
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/cc1kqy29
title: CCDC 1452011: Experimental Crystal Structure Determination

description: Related Article: Zhang Bin|2016|CSD Communication|||
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/ccydz09
title: CCDC 876401: Experimental Crystal Structure Determination

description: Related Article: Hu Yuping, Yang Hua, Zeng Ying, Tan Chunping|2013|Huagong Xinxing Cailiao|41|93|
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: 10.5281/zenodo.3971022
title: VDMBC_vertical_distribution_soil_microbial_biomass_carbon

description: Soil microbial biomass carbon (SMBC) is important in regulating soil organic carbon (SOC) dynamics along soil profiles by mediating the decomposition and formation of SOC. The dataset (VDMBC) is about the vertical distributions of SOC, SMBC, and soil microbial quotient (SMQ = SMBC/SOC) and their relations to environmental factors across five continents. Data were collected from literature, with a total of 289 soil profiles and 1040 observations in different soil layers compiled. The associated environment data collectd include climate, ecosystem types, and edaphic factors. We developed this dataset by searching the the Web of Sciene and the China National Knowledge Infrastructure from the year of 1970 to 2019. All the data in this dataset met two creteria: 1) there were at least three mineral soil layers along a soil profile, and 2) SMBC was measured using the fumigation extraction method. The data in tables and texts were obtained from literature directly, and the data in figures were extracted by using the GetData Graph digitizer software version 2.25. When climate and soil properties were not available from publications, we obtainted the data from the World Weather Information Service (https://worldweather.wmo.int/en/home.html) and SoilGrids at a spatial resolution of 250 meters (version 0.5.3, https://soilgrids.org). The units of all the variables were converted to the standard international units or commonly used ones and the values were converted correspondingly. For example, the value of soil organic matter (SOM) was converted to SOC using the equation (SOC = SOM × 0.58). Soil depth was calculated as the arithmetic mean value of the upper and lower boundaries for a given soil layer. This dataset can be used in predicting global SOC change along soil profiles using the multi-layer soil carbon models. It can also be used to analyse how soil microbial biomass changes with plant roots as well as the composition, structure, and functions of soil microbial communities along soil profiles at large spatial scales. This dataset offers opportunities to improve our prediction of SOC dynamics under global changes and to advance our understanding of the environmental controls.
DOI: 10.5517/cc1kq28m
title: CCDC 1451180: Experimental Crystal Structure Determination

description: Related Article: Zhonghua Wang|2016|CSD Communication|||
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/cc1kq3p2
title: CCDC 1451224: Experimental Crystal Structure Determination

description: Related Article: Thierry Maris|2016|CSD Communication|||
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/cc1kq44k
title: CCDC 1451238: Experimental Crystal Structure Determination

description: Related Article: Olivier Blacque, Balz Dudle, Heinz Berke|2016|CSD Communication|||
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/cc1kqypx
title: CCDC 1452030: Experimental Crystal Structure Determination

description: Related Article: Kundan K Sing, Santanu Pattanayak, Sayam Sengupta|2016|CSD Communication|||
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: 10.5281/zenodo.3970866
title: VDMBC_vertical_distribution_soil_microbial_biomass_carbon

description: Soil microbial biomass carbon (SMBC) is important in regulating soil organic carbon (SOC) dynamics along soil profiles by mediating the decomposition and formation of SOC. The dataset (VDMBC) is about the vertical distributions of SOC, SMBC, and soil microbial quotient (SMQ = SMBC/SOC) and their relations to environmental factors across five continents. Data were collected from literature, with a total of 289 soil profiles and 1040 observations in different soil layers compiled. The associated environment data collectd include climate, ecosystem types, and edaphic factors. We developed this dataset by searching the the Web of Sciene and the China National Knowledge Infrastructure from the year of 1970 to 2019. All the data in this dataset met two creteria: 1) there were at least three mineral soil layers along a soil profile, and 2) SMBC was measured using the fumigation extraction method. The data in tables and texts were obtained from literature directly, and the data in figures were extracted by using the GetData Graph digitizer software version 2.25. When climate and soil properties were not available from publications, we obtainted the data from the World Weather Information Service (https://worldweather.wmo.int/en/home.html) and SoilGrids at a spatial resolution of 250 meters (version 0.5.3, https://soilgrids.org). The units of all the variables were converted to the standard international units or commonly used ones and the values were converted correspondingly. For example, the value of soil organic matter (SOM) was converted to SOC using the equation (SOC = SOM × 0.58). Soil depth was calculated as the arithmetic mean value of the upper and lower boundaries for a given soil layer. This dataset can be used in predicting global SOC change along soil profiles using the multi-layer soil carbon models. It can also be used to analyse how soil microbial biomass changes with plant roots as well as the composition, structure, and functions of soil microbial communities along soil profiles at large spatial scales. This dataset offers opportunities to improve our prediction of SOC dynamics under global changes and to advance our understanding of the environmental controls.
DOI: 10.5517/cc1kqz2b
title: CCDC 1452042: Experimental Crystal Structure Determination

description: Related Article: Zhang Bin|2016|CSD Communication|||
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.