cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8114990
title: FD Simulator test parameters and results from NYC case study

description: This repository gives the dataset for Fleet-Demand platform (FD platform). The full FD platform code description can be found here. The files are under two categories: 1. MATSim input file: "config-with-mode-vehicles-drt-tele_2_income.xml": configuration file defining input file names and parameters for MATSim in the initial cycle of FD platform cycle (cycle 0). "config-with-mode-vehicles-drt-tele_2_income_updated.xml": configuration file defining input file names and parameters for MATSim in FD platform cycles after the initial cycle. "population_large_two_drt_added.xml": initial trip plan containing 35000 agents with initially assigned ride-pooling services ("drt_1" and "drt_2"). The trip plan was extracted from the MATSim-NYC population file, which can be found here. "new_subpopulation_income_onefifth.xml": subpopulation file assigning agent to either "Low_Income" or "Not_Low_Income". The value of time (VOT) of the two groups are defined in the configuration file "separated-network_shrunk_clean.xml": Network file containing road and transit network of Manhatta, Brooklyn, and Queens. This network file is extracted from the MATSim-NYC network file. 2. DVRPT input file "nyc_sub_nodes_update.csv": File defining the nodes that constructs the ride-pooling service area. "nyc_sub_network_update_new_1_27_max.csv": File defining the shortest path time cost for all node pairs. "nyc_sub_stops.csv": File defining the stops of the ride-pooling service. "nyc_sub_links.csv": File defining the links of the ride-pooling service area.
DOI: 10.5281/zenodo.8099171
title: Questionnaire on the current status of Research Data Management in Mecklenburg-Vorpommern

description: This dataset contains the questionnaires used in order to survey the current status of research data management in Mecklenburg-Vorpommern (MV). One questionnaire was used for the University of Rostock (<em>FDM_in_VREs_UR</em>) while the other was used for all other research institutes in MV. While the survey was conducted online, this dataset contains a PDF export as well as the Evasys questionnaire export which was used to conduct the online survey. Note that the PDF version does not cover the filter functionality which was used in the Evasys online survey.
DOI: 10.5281/zenodo.8099170
title: Questionnaire on the current status of Research Data Management in Mecklenburg-Vorpommern

description: This dataset contains the questionnaires used in order to survey the current status of research data management in Mecklenburg-Vorpommern (MV). One questionnaire was used for the University of Rostock (<em>FDM_in_VREs_UR</em>) while the other was used for all other research institutes in MV. While the survey was conducted online, this dataset contains a PDF export as well as the Evasys questionnaire export which was used to conduct the online survey. Note that the PDF version does not cover the filter functionality which was used in the Evasys online survey.
DOI: 10.5281/zenodo.7985338
title: Data Hospital Beds, Physicians, Nurses and Expenditure for 20 Latin American Countries from 1960 to 2022

description: Long-term quantitative series for 20 Latin American countries, spanning from 1960 to 2020, on the number of hospital beds, physicians, nurses and healthcare expenditure. Matus-Lopez, M. and Fernández Pérez, P. 2023. "Transformations in Latin American Healthcare: A Retrospective Analysis of Hospital Beds, Medical Doctors, and Nurses from 1960 to 2022". <em>Journal of Evolutionary Studies in Business</em>. The information was extracted from official reports and cross-country databases. Official reports were available in digital format in the Institutional Repository for Information Sharing (IRIS) of Pan American Health Organization (PAHO). They were summary of four-year reports on Health Conditions in the Americas (PAHO 1962, 1966, 1970, 1974, 1978, 1982, 1986, 1990, 1994, 1998, 2002a), annual reports of Basic Indicators (PAHO 2002b, 2007, 2008, 2010, 2013), Health in South America (PAHO 2012) and Core Indicators (PAHO 2016). Databases were Open Data Portal of the Pan American Health Organization (PLISA) (PAHO 2023), Core Indicator Database provided directly by PAHO (PAHO 2022), Data Portal of National Health Workforce Accounts of the World Health Organization (NHWA) (WHO 2022), and the Global Health Expenditure Database of the World Health Organization (GHED) (WHO 2023). Serie 1. Hospital Beds per 1,000 inhabitants Serie 2. Physicians per 10,000 inhabitants Serie 3. Nurses per 10,000 inhabitants Serie 4. Government spending on health, per capita. Constant US dollars of 2020 Cite as:
DOI: 10.5281/zenodo.7985339
title: Data Hospital Beds, Physicians, Nurses and Expenditure for 20 Latin American Countries from 1960 to 2022

description: Long-term quantitative series for 20 Latin American countries, spanning from 1960 to 2020, on the number of hospital beds, physicians, nurses and healthcare expenditure. Matus-Lopez, M. and Fernández Pérez, P. 2023. "Transformations in Latin American Healthcare: A Retrospective Analysis of Hospital Beds, Medical Doctors, and Nurses from 1960 to 2022". <em>Journal of Evolutionary Studies in Business</em>. The information was extracted from official reports and cross-country databases. Official reports were available in digital format in the Institutional Repository for Information Sharing (IRIS) of Pan American Health Organization (PAHO). They were summary of four-year reports on Health Conditions in the Americas (PAHO 1962, 1966, 1970, 1974, 1978, 1982, 1986, 1990, 1994, 1998, 2002a), annual reports of Basic Indicators (PAHO 2002b, 2007, 2008, 2010, 2013), Health in South America (PAHO 2012) and Core Indicators (PAHO 2016). Databases were Open Data Portal of the Pan American Health Organization (PLISA) (PAHO 2023), Core Indicator Database provided directly by PAHO (PAHO 2022), Data Portal of National Health Workforce Accounts of the World Health Organization (NHWA) (WHO 2022), and the Global Health Expenditure Database of the World Health Organization (GHED) (WHO 2023). Serie 1. Hospital Beds per 1,000 inhabitants Serie 2. Physicians per 10,000 inhabitants Serie 3. Nurses per 10,000 inhabitants Serie 4. Government spending on health, per capita. Constant US dollars of 2020 Cite as:
DOI: 10.5281/zenodo.8117702
title: Data Hospital Beds, Physicians, Nurses and Expenditure for 20 Latin American Countries from 1960 to 2022

description: Long-term quantitative series for 20 Latin American countries, spanning from 1960 to 2020, on the number of hospital beds, physicians, nurses and healthcare expenditure. Matus-Lopez, M. and Fernández Pérez, P. 2023. "Transformations in Latin American Healthcare: A Retrospective Analysis of Hospital Beds, Medical Doctors, and Nurses from 1960 to 2022". <em>Journal of Evolutionary Studies in Business</em>. The information was extracted from official reports and cross-country databases. Official reports were available in digital format in the Institutional Repository for Information Sharing (IRIS) of Pan American Health Organization (PAHO). They were summary of four-year reports on Health Conditions in the Americas (PAHO 1962, 1966, 1970, 1974, 1978, 1982, 1986, 1990, 1994, 1998, 2002a), annual reports of Basic Indicators (PAHO 2002b, 2007, 2008, 2010, 2013), Health in South America (PAHO 2012) and Core Indicators (PAHO 2016). Databases were Open Data Portal of the Pan American Health Organization (PLISA) (PAHO 2023), Core Indicator Database provided directly by PAHO (PAHO 2022), Data Portal of National Health Workforce Accounts of the World Health Organization (NHWA) (WHO 2022), and the Global Health Expenditure Database of the World Health Organization (GHED) (WHO 2023). Serie 1. Hospital Beds per 1,000 inhabitants Serie 2. Physicians per 10,000 inhabitants Serie 3. Nurses per 10,000 inhabitants Serie 4. Government spending on health, per capita. Constant US dollars of 2020 Cite as:
DOI: 10.6073/pasta/7a56a4b1e353e1289409ea9b9b7388a3
title: Marcell Experimental Forest seasonal soil moisture, 1966 - ongoing

description: This data publication contains available soil water measured three times a year (1966 - ongoing) at the Marcell Experimental Forest (MEF) in Balsam Township, Itasca County, Minnesota. The data came from six peatland / upland forest watersheds instrumented for long-term hydrological and biogeochemical research. The Marcell Experimental Forest in Itasca County, Minnesota is operated and maintained by the USDA Forest Service, Northern Research Station, and was formally established in 1962 to study the ecology and hydrology of peatlands.
DOI: 10.5281/zenodo.8117722
title: Diabetes_Data_Engineering(Manipulation)

description: Make tutorial of how to read, structure, and manipulate dataset, using pandas.
DOI: 10.5281/zenodo.8117721
title: Diabetes_Data_Engineering(Manipulation)

description: Make tutorial of how to read, structure, and manipulate dataset, using pandas.
DOI: 10.6084/m9.figshare.22661554.v1
title: Supplement 2.xlsx

description: Wavelength-dependent experimental refractive index of tantala (Ta2O5).
DOI: 10.5517/ccdc.csd.cc281l20
title: CCDC 2086891: Experimental Crystal Structure Determination

description: Related Article: V.M. Korshunov, M.A. Kiskin, I.V. Taydakov|2022|J.Lumin.|251|119235|doi:10.1016/j.jlumin.2022.119235
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.cc2bldzb
title: CCDC 2162652: Experimental Crystal Structure Determination

description: Related Article: Zi-Xin You, Yao Xiao, Qing-Lin Guan, Yong-Heng Xing, Feng-Ying Bai, Fen Xu|2022|Inorg.Chem.|61|13893|doi:10.1021/acs.inorgchem.2c01893
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.cc2bqqmf
title: CCDC 2166795: Experimental Crystal Structure Determination

description: Related Article: Toshihiro Yamase, Eri Ishikawa|2022|Inorg.Chem.|61|13743|doi:10.1021/acs.inorgchem.2c01344
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.cc2f0bld
title: CCDC 2234653: Experimental Crystal Structure Determination

description: Related Article: Xu Ma, Yongliang Zhang, Xijun Zhu, Yongliang Wei, Liming Zhang|2023|J.Am.Chem.Soc.|145|11921|doi:10.1021/jacs.3c02792
description: Related Article: Xu Ma, Yongliang Zhang, Xijun Zhu, Yongliang Wei, Liming Zhang|2023|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/ccdc.csd.cc2fgvmd
title: CCDC 2248604: Experimental Crystal Structure Determination

description: Related Article: Dennis Köhn, Thomas Ziegler, Cäcilia Maichle-Mössmer|2023|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/ccdc.csd.cc2fgztq
title: CCDC 2248734: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall|2023|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/ccdc.csd.cc2fhgkz
title: CCDC 2249191: Experimental Crystal Structure Determination

description: Related Article: Bang-Heng Lyu, Ze-Yu Ruan, Wen Cui, Si-Guo Wu, Zhao-Ping Ni, Ming-Liang Tong|2023|Inorg.Chem.Front.|10|3577|doi:10.1039/D3QI00644A
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.cc2fjbcp
title: CCDC 2250022: Experimental Crystal Structure Determination

description: Related Article: Magali B. Hickey and Bruce M. Foxman|2023|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/ccdc.csd.cc2fjhfx
title: CCDC 2250179: Experimental Crystal Structure Determination

description: Related Article: Magali B. Hickey and Bruce M. Foxman|2023|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/ccdc.csd.cc2fjkn6
title: CCDC 2250248: Experimental Crystal Structure Determination

description: Related Article: XIANGBING qi|2023|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/ccdc.csd.cc2fjlzk
title: CCDC 2250289: Experimental Crystal Structure Determination

description: Related Article: Guang-Hao Niu|2023|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/ccdc.csd.cc2fjm0m
title: CCDC 2250290: Experimental Crystal Structure Determination

description: Related Article: Guang-Hao Niu|2023|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/ccdc.csd.cc2fjm1n
title: CCDC 2250291: Experimental Crystal Structure Determination

description: Related Article: Guang-Hao Niu|2023|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/ccdc.csd.cc2fkkk4
title: CCDC 2251206: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall|2023|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/ccdc.csd.cc2fklvg
title: CCDC 2251246: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall, Edan Malcolm|2023|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/ccdc.csd.cc2fkm1p
title: CCDC 2251252: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall, Edan Malcolm|2023|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: 10.5519/qd.tuuwc94q
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.6084/m9.figshare.23629998
title: Processed X-ray Paralysis Data for Wild Type and Pmyo-3::lite-1 Worms at 0 and 0.74 Gy/s

description: Trials_202717.mat is matlab data structure containing an entry for each experimental trial. Each trial has a numeric strain code and dose code indicating the strain of worm and dose rate of X-ray stimulation, respectively. A strain code of 1 indicates wild type worms and a strain code of 2 indicates pmyo-3::lite-1 worms. A dose code of 1 indicates a 0 Gy/s dose rate while a dose code of 2 indicates a 0.74 Gy/s dose rate. Body bends over 5 s intervals are listed under variables bendsN_N2s, where N is the time point at which the 5 s interval begins and N2 is the time point at which the 5 s interval ends.
DOI: 10.6084/m9.figshare.23629998.v1
title: Processed X-ray Paralysis Data

description: Trials_202717.mat is matlab data structure containing an entry for each experimental trial. Each trial has a numeric strain code and dose code indicating the strain of worm and dose rate of X-ray stimulation, respectively. A strain code of 1 indicates wild type worms and a strain code of 2 indicates pmyo-3::lite-1 worms. A dose code of 1 indicates a 0 Gy/s dose rate while a dose code of 2 indicates a 0.74 Gy/s dose rate. Body bends over 5 s intervals are listed under variables bendsN_N2s, where N is the time point at which the 5 s interval begins and N2 is the time point at which the 5 s interval ends.
DOI: 10.6084/m9.figshare.23629998.v2
title: Processed X-ray Paralysis Data for Wild Type and Pmyo-3::lite-1 Worms at 0 and 0.74 Gy/s

description: Trials_202717.mat is matlab data structure containing an entry for each experimental trial. Each trial has a numeric strain code and dose code indicating the strain of worm and dose rate of X-ray stimulation, respectively. A strain code of 1 indicates wild type worms and a strain code of 2 indicates pmyo-3::lite-1 worms. A dose code of 1 indicates a 0 Gy/s dose rate while a dose code of 2 indicates a 0.74 Gy/s dose rate. Body bends over 5 s intervals are listed under variables bendsN_N2s, where N is the time point at which the 5 s interval begins and N2 is the time point at which the 5 s interval ends.
DOI: 10.5519/qd.qw639xc7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8 records)
DOI: 10.6084/m9.figshare.23631312
title: Processed X-ray Paralysis Data for Pmyo-3::lite-1 Worms at 0-0.74 Gy/s

description: Trials.mat is matlab data structure containing an entry for each experimental trial. Each trial has a numeric dose code indicating the dose rate of X-ray stimulation. Keys.mat is contains cell arrays indicating the dose rates associated with numeric codes in Trials data structure. Body bends over 5 s intervals are listed under variables bendsSn, where n indicates the chronological order of the 5 s intervals.
DOI: 10.6084/m9.figshare.23631312.v1
title: Processed X-ray Paralysis Data for Pmyo-3::lite-1 Worms at 0-0.74 Gy/s

description: Trials.mat is matlab data structure containing an entry for each experimental trial. Each trial has a numeric dose code indicating the dose rate of X-ray stimulation. Keys.mat is contains cell arrays indicating the dose rates associated with numeric codes in Trials data structure. Body bends over 5 s intervals are listed under variables bendsSn, where n indicates the chronological order of the 5 s intervals.
DOI: 10.5281/zenodo.8115010
title: Metadata for Sensitivity of He Flames in X-ray Bursts to Nuclear Physics

description: Metadata, input files, scripts, and jupyter notebook used for the 2D X-ray burst described in paper: "Sensitivity of He Flame in X-ray Burst to Nuclear Physics". The job_info files contain the git hashes of all software used as well as the compiler versions and flags. All *front.dat contains data to generate the flame frot position vs time plot. This data can be generated using the Castro/Exec/science/flame_wave/analysis/front_tracker.py in https://github.com/AMReX-Astro/Castro. All *density.dat files contain the data for density-weighted temperature and nuclear energy generation rate plot. These data can be obtained by using the function: get_weighted_profile(), in the xrb_paper.ipynb. All *cpu.txt files contain the data to generate the number of CPU hours per simulation time plot. These data can be obtained using get_cpu_time.py. All *sum.dat files contain the data for the total mass of C12, O16, Ne20, Mg24, Si28, and S32 over time. These data can be obtained by using amrex/Tools/Plotfile/fvolumesum.cpp in https://github.com/AMReX-Codes/amrex/blob/development/Tools/Plotfile/fvolumesum.cpp.