cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26050/wdcc/ar6.c6cmgigh1
title: IPCC DDC: NASA-GISS GISS-E2.1H model output prepared for CMIP6 CMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NASA-GISS.GISS-E2-1-H' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The GISS-E2.1H climate model, released in 2019, includes the following components: aerosol: Varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2.5x2 degree; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: Varies with physics-version (p==1 Non-interactive, p&gt;1 GPUCCINI), land: GISS LSM, ocean: HYCOM Ocean (~1 degree tripolar grid; 360 x 180 longitude/latitude; 32 levels; top grid cell 0-10 m), seaIce: GISS SI. The model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km.
DOI: 10.26050/wdcc/ar6.c6cmgige2
title: IPCC DDC: NASA-GISS GISS-E2-2-G model output prepared for CMIP6 CMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NASA-GISS.GISS-E2-2-G' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The GISS-E2-2-G climate model, released in 2019, includes the following components: aerosol: varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.2 (High-top, 2 x 2.5 degrees; 144 x 90 longitude/latitude; 102 levels; top level 0.002 hPa), atmosChem: varies with physics-version (p==1 Non-interactive, p&gt;1 GPUCCINI), land: GISS LSM, landIce: Fixed, ocean: GISS Ocean (GO1, 1 degree; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10m), seaIce: GISS SI. The model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.18742/23264381
title: Dataset - UK secondary school students' views of inequality and their sense of agency concerning their occupational prospects

description: This project investigated UK secondary school students’ views of inequality and their sense of agency concerning their occupational prospects, using questionnaire and interview data. The data came from 78 students from three secondary schools in England between Year 7 and Year 13 who were aged between 12 and 19. The three schools were in areas with different socioeconomic characteristics – an affluent town in the London commuter belt (School A), a city in the east of England (School B) and a town to the east of London (School C). School A had a lower than national average free school meals (FSM) rate, whereas both School B and School C had a higher than national average FSM rate. <br> 18 participants were from School A, 38 from School B and 22 from School C. While all 18 students in School A and all 22 students in School C participated in both the questionnaire and follow-up interview stages, in School B 37 participants filled in the questionnaire and, of these, 22 took part in the interviews. One student from School B who did not fill in a questionnaire took part in the interview, making the total interviews from School B 23. One student from School C did not want to have their interview audio-recorded; therefore, their interview transcript does not exist. <br> As a result, the dataset in total contains 77 questionnaires and 62 interview transcripts. The PDF files are questionnaire files and the word document files are interview transcripts. A file name (for both the pdf files and word document files) begins with ‘Y’ that is followed by a number which indicates a school year and this is followed by two letters that indicate a code for an individual participant, while the letter A, B or C immediately after a hyphen indicates School A, B or C respectively. <br>
DOI: 10.18742/23264381.v1
title: Dataset - UK secondary school students' views of inequality and their sense of agency concerning their occupational prospects

description: This project investigated UK secondary school students’ views of inequality and their sense of agency concerning their occupational prospects, using questionnaire and interview data. The data came from 78 students from three secondary schools in England between Year 7 and Year 13 who were aged between 12 and 19. The three schools were in areas with different socioeconomic characteristics – an affluent town in the London commuter belt (School A), a city in the east of England (School B) and a town to the east of London (School C). School A had a lower than national average free school meals (FSM) rate, whereas both School B and School C had a higher than national average FSM rate. <br> 18 participants were from School A, 38 from School B and 22 from School C. While all 18 students in School A and all 22 students in School C participated in both the questionnaire and follow-up interview stages, in School B 37 participants filled in the questionnaire and, of these, 22 took part in the interviews. One student from School B who did not fill in a questionnaire took part in the interview, making the total interviews from School B 23. One student from School C did not want to have their interview audio-recorded; therefore, their interview transcript does not exist. <br> As a result, the dataset in total contains 77 questionnaires and 62 interview transcripts. The PDF files are questionnaire files and the word document files are interview transcripts. A file name (for both the pdf files and word document files) begins with ‘Y’ that is followed by a number which indicates a school year and this is followed by two letters that indicate a code for an individual participant, while the letter A, B or C immediately after a hyphen indicates School A, B or C respectively. <br>
DOI: 10.6084/m9.figshare.23393267.v1
title: Tidal modulation of Cross-scale Kinetic Energy Fluxes in the Gulf Stream

description: Files to reproduce the figures presented in
DOI: 10.18112/openneuro.ds004642.v1.0.1
title: Intraoperative recordings of medianus stimulation with low and high impedance ECoG
DOI: 10.6084/m9.figshare.22626490
title: Software Bill of Materials Adoption: A Mining Study from GitHub - A Replication Package

description: This is the replication package of the paper entitled "Software Bill of Materials Adoption: A Mining Study from GitHub".<br><br><br>It contains the raw and analyzed data.
DOI: 10.26050/wdcc/palvolv1
title: PalVol: A proxy-based semi-stochastic ensemble reconstruction of volcanic stratospheric aerosol for the last glacial cycle (Version 1)

description: Project: PalMod2 - From the last interglacial to the anthropocene - modeling a complete glacial cycle. The PalMod project (https://www.palmod.de/) aims for a better understanding of how slow feedbacks in the Earth system operate. Using the new insights into Earth system dynamics, PalMod will also make projections of the future climate over the next few millennia. The project PalMod is in the second phase. Summary: This data set is an ensemble reconstruction of volcanic stratospheric sulfur injection (VSSI) and stratospheric aerosol optical depth (SAOD) over the last 130,000 years that is based primarily on terrestrial and marine tephra records. VSSI values are computed as a simple function of eruption magnitude, based on VSSI estimates from ice cores and satellite observations for identified eruptions. To correct for the incompleteness of the tephra record, we include stochastically generated synthetic eruptions, assuming a constant background eruption frequency from the ice core Holocene record. SAOD is provided using the VSSI as input to the EVA stratospheric aerosol forcing generator.
DOI: 10.6073/pasta/b4c81c7073460ad91a5f0a77f6009ddc
title: Warming-El Nino-Nitrogen Deposition Experiment (WENNDEx): Net Primary Production Quadrat Data at the Sevilleta National Wildlife Refuge, New Mexico

description: Humans are creating significant global environmental change, including shifts in climate, increased nitrogen (N) deposition, and the facilitation of species invasions. A multi-factorial field experiment is being performed in an arid grassland within the Sevilleta National Wildlife Refuge (NWR) to simulate increased nighttime temperature, higher N deposition, and heightened El NiÃ±o frequency (which increases winter precipitation by an average of 50%). The purpose of the experiment is to better understand the potential effects of environmental change on grassland community composition and the growth of introduced creosote seeds and seedlings. The focus is on the response of three dominant species, all of which are near their range margins and thus may be particularly susceptible to environmental change. It is hypothesized that warmer summer temperatures and increased evaporation will favor growth of black grama (Bouteloua eriopoda), a desert grass, but that increased winter precipitation and/or available nitrogen will favor the growth of blue grama (Bouteloua gracilis), a shortgrass prairie species. Furthermore, it is thought that the growth and survival of introduced creosote (Larrea tridentata) seeds and seedlings will be promoted by heightened winter precipitation, N addition, and warmer nighttime temperatures. Treatment effects on limiting resources (soil moisture, nitrogen mineralization), species growth (photosynthetic rates, creosote shoot elongation), species abundance, and net primary production (NPP) are all being measured to determine the interactive effects of key global change drivers on arid grassland plant community dynamics. To measure above-ground NPP (i.e., the change in plant biomass, represented by stems, flowers, fruit and foliage, over time), the vegetation variables in this dataset, including species composition and the cover and height of individuals, are sampled twice yearly (spring and fall) at permanent 1m x 1m plots. The data from these plots is used to build regressions correlating biomass and volume via weights of select harvested species obtained in SEV157, "Net Primary Productivity (NPP) Weight Data." This biomass data is included in SEV205, "Warming-El Nino-Nitrogen Deposition Experiment (WENNDEx): Seasonal Biomass and Seasonal and Annual NPP."
DOI: 10.5255/ukda-sn-856587
title: The Power of Social Networks and Social Media’s Filter Bubble in Shaping National Identities: An Agent-Based Model, 2019-2022

description: These are the modeling outputs from the ABM simulations included on the paper by the same title as this data collection that was awarded best PhD paper award at the Social Simulation conference September 4-8 2022 in Milan. The model developed in this paper explained the national identity dynamics in a context where social networks and social media platforms were explicitly modelled. This allowed to test the effects and resulting changes in national identities depending on the social networks and social media filter bubble conditions. Additionally, an empirically-informed version of the model was created with political attitudes survey data from the Catalan Centre of Opinion Studies 2011 to contextualise the model in Catalonia where there's an ongoing secessionist movement. This increases the validity of the model as it represents a population such as the Catalan one.
DOI: 10.17632/kv7ff6n8h6.1
title: Fuzzy Logic Designer_Berna

description: Suitability.m, Suitability.fig, Suitability.fis
DOI: 10.17632/zyysdssxz2.1
title: Dataset of laboratory scale 3-axis filament winding machine integrated with the real-time winding angle measurement system and i-winder app

description: This data article presents three dataset’s results related to a laboratory scale 3-axis filament winding machine. The winding performance experimental tests are described in raw data related to winding angle pattern, range, accuracy programmed winding G-codes, and linear and rotation speeds. The real-time winding angle measurement device is developed to detect and measure the winding angle of filament wound carbon-fiber reinforced plastics (CFRP) tube, which uses dry and wet winding processes. The real-time measurement experimental tests are described as visual captured images. The i-winder app is designed to operate the winding machine with Bluetooth transmission protocols, which MIT App Inventor uses. The data presented in this article can have a benchmark for developing a multi-axis portable filament winding machine with an inexpensive and open-source control system or embedding the real-time winding angle measurement system.
DOI: 10.5517/ccdc.csd.cc2cj9qy
title: CCDC 2190420: Experimental Crystal Structure Determination

description: Related Article: Xin Li, Marina Diguele Romero, Sona Tcaturian, Katarzyna Kurpiewska, Alexander Dömling|2023|J.Org.Chem.|88|9823|doi:10.1021/acs.joc.3c00467
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.cc2clm2p
title: CCDC 2192632: Experimental Crystal Structure Determination

description: Related Article: Xin Li, Marina Diguele Romero, Sona Tcaturian, Katarzyna Kurpiewska, Alexander Dömling|2023|J.Org.Chem.|88|9823|doi:10.1021/acs.joc.3c00467
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.cc2fr77p
title: CCDC 2256652: Experimental Crystal Structure Determination

description: Related Article: Parul Garg, Tavinder Singh, Anand Singh|2023|Chem.Commun.|59|9360|doi:10.1039/D3CC01871G
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.cc2dhgzc
title: CCDC 2219413: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Demakov, Danil N. Dybtsev, Vladimir P. Fedin|2023|Chem.Commun.|59|9380|doi:10.1039/D3CC02162A
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.cc2ggq7x
title: CCDC 2278259: Experimental Crystal Structure Determination

description: Related Article: Guang-Da Xia, Zi-Kui Liu, Yu-Lian Zhao, Feng-Cheng Jia, Xiao-Qiang Hu|2023|Org.Lett.|25|5279|doi:10.1021/acs.orglett.3c01824
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: 10.5255/ukda-sn-856569
title: Interview Data on Practices, Regulation and Accountability in Maharashtra's Private Healthcare Sector, 2017-2019

description: This research was about the expansion and changing face of private sector hospital care and related diagnostic services through an organised, and increasingly transnational, healthcare industry. The research team was composed of social scientists from King's College London and public health researchers and health rights activists from India. To explore this issue, we constructed a detailed case study of the sector in Maharashtra State, India which has many expanding healthcare hubs. We interviewed a wide range of medical practitioners, managers, facility owners, regulators, policy makers, patient organisations and health rights advocates, in order to examine the implications of these emerging forms of healthcare delivery and their business and management practices for the healthcare sector, for medical practitioners and for healthcare users.
DOI: 10.5281/zenodo.7786409
title: Supporting data for: Measurement report: Airborne measurements of NOx fluxes over Los Angeles during the RECAP-CA 2021 campaign

description: We provide here the supporting dataset for our study on airborne measurements of NO<sub>x</sub> fluxes over Los Angeles during the RECAP-CA 2021 campaign.
DOI: 10.5281/zenodo.8199016
title: data shown in manuscript "WRF-Comfort: Simulating micro-scale variability of outdoor heat stress at the city scale with a mesoscale model"

description: data shown in manuscript "WRF-Comfort: Simulating micro-scale variability of outdoor heat stress at the city scale with a mesoscale model"
DOI: 10.11583/dtu.22739750.v1
title: Power & Thrust data for the EPFL WiRE-01 miniature wind turbine

description: This dataset provides the power curve and the thrust curve data for the EPFL WiRE-01 miniature wind turbine (three-blade, horizontal-axis, developed in the WiRE Lab at EPFL Lausanne, Switzerland) immersed in a boundary layer, based on wind tunnel tests. In the data file, the first two columns give the test tip-speed ratio (TSR) and the corresponding power coefficient, respectively; and the 3rd and the 4th columns give the TSR and the corresponding thrust coefficient. The last three columns provide the dimension of the turbine rotor diameter, the turbine hub height and the inflow velocity at the hub height. The neutral inflow boundary layer has a turbulence intensity of 7% and a boundary layer height of 0.38m. Details of the turbine design can be found via [1]. <br> Reference [1] Bastankhah, M.; Porté-Agel, F. A New Miniature Wind Turbine for Wind Tunnel Experiments. Part I: Design and Performance. <em>Energies</em> <strong>2017</strong>, <em>10</em>, 908. https://doi.org/10.3390/en10070908. <br>
DOI: 10.11583/dtu.22739750
title: Power & Thrust data for the EPFL WiRE-01 miniature wind turbine

description: This dataset provides the power curve and the thrust curve data for the EPFL WiRE-01 miniature wind turbine (three-blade, horizontal-axis, developed in the WiRE Lab at EPFL Lausanne, Switzerland) immersed in a boundary layer, based on wind tunnel tests. In the data file, the first two columns give the test tip-speed ratio (TSR) and the corresponding power coefficient, respectively; and the 3rd and the 4th columns give the TSR and the corresponding thrust coefficient. The last three columns provide the dimension of the turbine rotor diameter, the turbine hub height and the inflow velocity at the hub height. The neutral inflow boundary layer has a turbulence intensity of 7% and a boundary layer height of 0.38m. Details of the turbine design can be found via [1]. <br> Reference [1] Bastankhah, M.; Porté-Agel, F. A New Miniature Wind Turbine for Wind Tunnel Experiments. Part I: Design and Performance. <em>Energies</em> <strong>2017</strong>, <em>10</em>, 908. https://doi.org/10.3390/en10070908. <br>