cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3956505
title: Data presented in the paper : Consistent theoretical and empirical approaches of at-a-station hydraulic geometry exponents in stream reaches

description: This dataset contains the data used in the paper. Variables descriptions : ID : reach identifier. Exponent_b : at-a-station hydraulic geometry width exponent (<em>b</em>) (-). Exponent_f : at-a-station hydraulic geometry depth exponent (<em>f</em>) (-). Fr50 : the reach-scale Froude number at the median flow (<em>Fr<sub>50</sub></em>) (-). W50/WQb : the median to bankfull width ratio <em>(W<sub>50</sub></em>/<em>W<sub>Qb</sub></em>) (-). R_theo : the shape parameter (<em>r<sub>theo</sub></em>) (-). Relative_standard_dev._profile : the standard deviation of the bed elevation relative to the bankfull width (<em>σ</em>/<em>W<sub>Qb</sub></em>) (-). Relative_grain_size : the reach-average grain size relative to bankfull width (<em>D</em>/<em>W<sub>Qb</sub></em>) (-). Source : data source. Type : data type. (-) denotes dimensionless quantities.
DOI: 10.5281/zenodo.3956579
title: Data presented in the paper : Consistent theoretical and empirical approaches of at-a-station hydraulic geometry exponents in stream reaches

description: This dataset contains the data used in the paper. Variables descriptions : ID : reach identifier. Exponent_b : at-a-station hydraulic geometry width exponent (<em>b</em>) (-). Exponent_f : at-a-station hydraulic geometry depth exponent (<em>f</em>) (-). Fr50 : the reach-scale Froude number at the median flow (<em>Fr<sub>50</sub></em>) (-). W50/WQb : the median to bankfull width ratio <em>(W<sub>50</sub></em>/<em>W<sub>Qb</sub></em>) (-). R_theo : the shape parameter (<em>r<sub>theo</sub></em>) (-). Relative_standard_dev._profile : the standard deviation of the bed elevation relative to the bankfull width (<em>σ</em>/<em>W<sub>Qb</sub></em>) (-). Relative_grain_size : the reach-average grain size relative to bankfull width (<em>D</em>/<em>W<sub>Qb</sub></em>) (-). Source : data source. Type : data type. (-) denotes dimensionless quantities.
DOI: 10.5281/zenodo.3956504
title: Data presented in the paper : Consistent theoretical and empirical approaches of at-a-station hydraulic geometry exponents in stream reaches

description: This dataset contains the data used in the paper. Variables descriptions : ID : reach identifier. Exponent_b : at-a-station hydraulic geometry width exponent (<em>b</em>) (-). Exponent_f : at-a-station hydraulic geometry depth exponent (<em>f</em>) (-). Fr50 : the reach-scale Froude number at the median flow (<em>Fr<sub>50</sub></em>) (-). W50/WQb : the median to bankfull width ratio <em>(W<sub>50</sub></em>/<em>W<sub>Qb</sub></em>) (-). R_theo : the shape parameter (<em>r<sub>theo</sub></em>) (-). Relative_standard_dev._profile : the standard deviation of the bed elevation relative to the bankfull width (<em>σ</em>/<em>W<sub>Qb</sub></em>) (-). Relative_grain_size : the reach-average grain size relative to bankfull width (<em>D</em>/<em>W<sub>Qb</sub></em>) (-). Source : data source. Type : data type. (-) denotes dimensionless quantities.
DOI: 10.6075/j0c53jdq
title: EarthCube Charter, 2020 version. In EarthCube Organization Materials

description: The 2020 EarthCube Charter describes the leadership, strategic direction, operations, and all other formalized activities of EarthCube, and defines the structure of EarthCube’s Governance. The Charter is a living document; suggested changes can be made by EarthCube members, subject to approval by Leadership Council vote. See specifics in the Charter.
DOI: 10.18112/openneuro.ds000206.v1.0.0
title: DWI Traveling Human Phantom Study
DOI: 10.6084/m9.figshare.8175140.v1
title: National Parks Pacific West Region (PWR) | Park and Neighborhood Characteristics

description: This repository contains park and neighborhood data for the Pacific West Region (PWR) of the National Park System, in support of the NSF-funded project on Sustainability and Safety in the Pacific West Region National Parks.Internal park data include trail and roads within park boundary. Neighborhood data include census demographics, county crime, roads, parcel ownership, and land cover.Details provided in NPS PWR Crime Metadata.pdf.
DOI: 10.6084/m9.figshare.8175131.v1
title: Yosemite National Park (YOSE) | Park and Neighborhood Characteristics

description: This repository contains park and neighborhood data for Yosemite National Park (YOSE) in support of the NSF-funded project on Sustainability and Safety in the Pacific West Region National Parks.Internal park data include trail and roads within park boundary as well as yearly data on reported crime, visitation, and staffing for 2003-2013.Neighborhood data include census demographics, county crime, roads, parcel ownership, and land cover.Details provided in NPS PWR Crime Metadata.pdf.
DOI: 10.6084/m9.figshare.8175116.v1
title: Whiskeytown National Recreation Area (WHIS) | Park and Neighborhood Characteristics

description: This repository contains park and neighborhood data for the Whiskeytown National Recreation Area (WHIS) in support of the NSF-funded project on Sustainability and Safety in the Pacific West Region National Parks.Internal park data include trail and roads within park boundary as well as yearly data on reported crime, visitation, and staffing for 2003-2013.Neighborhood data include census demographics, county crime, roads, parcel ownership, and land cover.Details provided in NPS PWR Crime Metadata.pdf.
DOI: 10.6084/m9.figshare.8175101.v1
title: World War II Valor in the Pacific National Monument (VALR) | Park and Neighborhood Characteristics

description: This repository contains park and neighborhood data for the World War II Valor in the Pacific National Monument (VALR) in support of the NSF-funded project on Sustainability and Safety in the Pacific West Region National Parks.Internal park data include trail and roads within park boundary as well as yearly data on reported crime, visitation, and staffing for 2003-2013.Neighborhood data include census demographics, county crime, roads, parcel ownership, and land cover.Details provided in NPS PWR Crime Metadata.pdf.
DOI: 10.6084/m9.figshare.8175083.v1
title: Sequoia and Kings Canyon National Parks (SEKI) | Park and Neighborhood Characteristics

description: This repository contains park and neighborhood data for Sequoia and Kings Canyon National Parks (SEKI) in support of the NSF-funded project on Sustainability and Safety in the Pacific West Region National Parks.Internal park data include trail and roads within park boundary as well as yearly data on reported crime, visitation, and staffing for 2003-2013.Neighborhood data include census demographics, county crime, roads, parcel ownership, and land cover.Details provided in NPS PWR Crime Metadata.pdf.
DOI: 10.6084/m9.figshare.8175068.v1
title: Santa Monica Mountains National Recreation Area (SAMO) | Park and Neighborhood Characteristics

description: This repository contains park and neighborhood data for the Santa Monica Mountains National Recreation Area (SAMO) in support of the NSF-funded project on Sustainability and Safety in the Pacific West Region National Parks.Internal park data include trail and roads within park boundary as well as yearly data on reported crime, visitation, and staffing for 2003-2013.Neighborhood data include census demographics, county crime, roads, parcel ownership, and land cover.Details provided in NPS PWR Crime Metadata.pdf.
DOI: 10.6084/m9.figshare.8175059.v1
title: Redwood National Park (REDW) | Park and Neighborhood Characteristics

description: This repository contains park and neighborhood data for the Redwood National Park (REDW) in support of the NSF-funded project on Sustainability and Safety in the Pacific West Region National Parks.Internal park data include trail and roads within park boundary as well as yearly data on reported crime, visitation, and staffing for 2003-2013.Neighborhood data include census demographics, county crime, roads, parcel ownership, and land cover.Details provided in NPS PWR Crime Metadata.pdf.
DOI: 10.6084/m9.figshare.8175050.v1
title: Pu`uhonua O Honaunau National Historical Park (PUHO) | Park and Neighborhood Characteristics

description: This repository contains park and neighborhood data for the Pu`uhonua O Honaunau National Historical Park (PUHO) in support of the NSF-funded project on Sustainability and Safety in the Pacific West Region National Parks.Internal park data include trail and roads within park boundary as well as yearly data on reported crime, visitation, and staffing for 2003-2013.Neighborhood data include census demographics, county crime, roads, parcel ownership, and land cover.Details provided in NPS PWR Crime Metadata.pdf.
DOI: 10.6084/m9.figshare.8175044.v1
title: Point Reyes National Seashore (PORE) | Park and Neighborhood Characteristics

description: This repository contains park and neighborhood data for the Point Reyes National Seashore in support of the NSF-funded project on Sustainability and Safety in the Pacific West Region National Parks.Internal park data include trail and roads within park boundary as well as yearly data on reported crime, visitation, and staffing for 2003-2013.Neighborhood data include census demographics, county crime, roads, parcel ownership, and land cover.Details provided in NPS PWR Crime Metadata.pdf.
DOI: 10.6084/m9.figshare.8175041.v2
title: Pinnacles National Park (PINN) | Park and Neighborhood Characteristics

description: This repository contains park and neighborhood data for Pinnacles National Park in support of the NSF-funded project on Sustainability and Safety in the Pacific West Region National Parks.Internal park data include trail and roads within park boundary as well as yearly data on reported crime, visitation, and staffing for 2003-2013.Neighborhood data include census demographics, county crime, roads, parcel ownership, and land cover.Details provided in NPS PWR Crime Metadata.pdf.
DOI: 10.6084/m9.figshare.8175032.v1
title: Oregon Caves National Monument & Preserve (ORCA) | Park and Neighborhood Characteristics

description: This repository contains park and neighborhood data for the Oregon Caves National Monument & Preserve (ORCA) in support of the NSF-funded project on Sustainability and Safety in the Pacific West Region National Parks.Internal park data include trail and roads within park boundary as well as yearly data on reported crime, visitation, and staffing for 2003-2013.Neighborhood data include census demographics, county crime, roads, parcel ownership, and land cover.Details provided in NPS PWR Crime Metadata.pdf.
DOI: 10.18112/openneuro.ds001417.v1.0.0
title: CAT snacks functional plasticity
DOI: 10.18112/openneuro.ds001653.v1.0.2
title: Mouse_rest_awake
DOI: 10.18112/openneuro.ds001883.v1.0.3
title: Social Decision-Making Risky Choice Task Dataset
DOI: 10.17632/49dzfrfhmd
title: Future Weather Files

description: The future weather files are synthesized based on the research project on climate change impact on building energy performance. These weather files (in EPW format) are intended to be used for building energy simulation and performance evaluation. The team has provided here future weather files for 30 years (from 2020 to 2049) for a few locations for all four Representative Concentration Pathways (RCP2.6, 4.5, 6.0, and 8.5) used in the Fifth IPCC (Intergovernmental Panel on Climate Change) Assessment. Due to limited resources, weather files for other locations will be added slowly but surely. If you have any pressing needs, you are welcome to contact the team to explore the possibility. The future weather files are synthesized based on a workflow developed by the team. A full explanation is presented in our article (link), copied here is a brief description: The effect of climate change is based on General Circulation Models (GCM). First, a bias-correction technique, known as the quantile-quantile method, is applied to remove the bias in the data in order to adopt GCMs to a specific location. The study then uses a hybrid classification-regression model to downscale the bias-corrected GCM data to synthesize future weather data at hourly resolution for building energy simulation. The proposed workflow enables users to use a set of observed weather data by finding similar patterns rather than artificially generating data. However, in cases where the future GCM data showed temperatures ranging outside of the observed data, the study applied a trained regression model to synthesize hourly weather data. If readers are interested in the topic, please browse through related articles of the team: Generating future weather files under climate change scenarios to support building energy simulation — a machine learning approach (link) A systematic approach in constructing typical meteorological year weather files using machine learning (link) Cooling and heating energy performance of a building with a variety of roof designs; the effects of future weather data in a cold climate https://doi.org/10.1016/j.jobe.2018.02.001 Energy performance of cool roofs under the impact of actual weather data https://doi.org/10.1016/j.enbuild.2017.04.006 Disclaimer: The weather files provided here are synthesized based on the novel workflow developed by the research team with limitations and based on assumptions. A full description of the workflow is presented in this article (link). We do not make any warranties about the completeness, reliability, and accuracy of the data. Any use of the data is strictly at your own risk, and we will not be liable for any losses and damages in connection with the use.
DOI: 10.18112/openneuro.ds002033.v1.0.1
title: Investigating the visual number form area: A replication study
DOI: 10.18112/openneuro.ds001761.v2.0.1
title: Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks.
DOI: 10.5281/zenodo.3895296
title: Data for journal article: "Automated precipitation monitoring with the Thies disdrometer: Biases and ways for improvement"

description: This dataset contains data used for the journal article" Automated precipitation monitoring with the Thies disdrometer: Biases and ways for improvement" submitted to Atmospheric Measurement Techniques.
DOI: 10.5281/zenodo.3949423
title: AirSim building99 competition dataset

description: MISTLAB dataset for using learning method in AirSim environment, 2 agents' competition
DOI: 10.5281/zenodo.3949422
title: AirSim building99 competition dataset

description: MISTLAB dataset for using learning method in AirSim environment, 2 agents' competition
DOI: 10.5281/zenodo.1036786
title: X-ray flux data

description: This dataset contains X-ray flux data from March 1, 2001 through October 18, 2017. The source of this data is the National Oceanic and Atmospheric Administration (NOAA - https://www.ngdc.noaa.gov/stp/spaceweather.html) or, more specifically, at https://satdat-vip.ngdc.noaa.gov/sem/goes/data/new_full The samples are generated every 2 or 3 seconds. Each tuple has the following information separated by a comma: time_tag: Date and time for each observation in the format YYYY-mm-dd hh:mm:ss.SSS UTC" xs: X-ray short wavelength channel irradiance (0.5 - 0.3 nm); xl: X-ray long wavelength channel irradiance (0.1 - 0.8 nm); "-99999" indicates missing values. The scripts used to obtain this data from the NOAA website are available in the repository https://gradvohl.github.io/xrayflux The file is compressed with tar and gunzip.
description: The HighPIDS research group (http://highpids.ft.unicamp.br) use this database to apply algorithms to forecast the behavior of x-rays emitted from the sun.
DOI: 10.5281/zenodo.1035945
title: X-ray flux data

description: This dataset contains X-ray flux data from March 1, 2001 through October 18, 2017. The source of this data is the National Oceanic and Atmospheric Administration (NOAA - https://www.ngdc.noaa.gov/stp/spaceweather.html) or, more specifically, at https://satdat-vip.ngdc.noaa.gov/sem/goes/data/new_full The samples are generated every 2 or 3 seconds. Each tuple has the following information separated by a comma: time_tag: Date and time for each observation in the format YYYY-mm-dd hh:mm:ss.SSS UTC" xs: X-ray short wavelength channel irradiance (0.5 - 0.3 nm); xl: X-ray long wavelength channel irradiance (0.1 - 0.8 nm); "-99999" indicates missing values. The scripts used to obtain this data from the NOAA website are available in the repository https://gradvohl.github.io/xrayflux The file is compressed with tar and gunzip.
description: The HighPIDS research group (http://highpids.ft.unicamp.br) use this database to apply algorithms to forecast the behavior of x-rays emitted from the sun.
DOI: 10.18112/openneuro.ds002609.v1.0.2
title: RPN-signature_Study2
DOI: 10.21227/0fj4-c843
title: IEEE 802.11ac performance dataset

description: IEEE 802.11ac performance dataset contains information regarding normalized throughput achieved under five link configuration parameters and a channel condition measured by SNR. The five link configuration parameters are channel bandwidth, multiple-input multiple output (MIMO) antenna, modulation and coding schemes (MCS), guard interval and frame aggregation. In the dataset, there are seven columns: SNR value, MIMO, channel bandwidth, MCS, guard interval, frame aggregation and normalized throughput. This dataset can be used for the training purpose of a deep neural network model which wants to predict the normalized throughput under a SNR value of the channel and for a given set of values of five link configuration parameters (mentioned above) which have been chosen under that SNR value. Therefore, this dataset can help to learn a deep neural network model that has the objective to enhance the performance of IEEE 802.11ac based high throughput wireless access networks.
DOI: 10.18112/openneuro.ds001399.v1.0.0
title: multibandACQtests
DOI: 10.5281/zenodo.3955045
title: Synthetic histology images of colorectal cancer, generated by conditional generative adversarial networks

description: These are generated (synthetic) histology images of colorectal cancer. These images were generated by conditional GANs and are in two classes: MSIH (microsatellite instable high) and nonMSIH. There are two sets: one set with 10K images per class and another one with 75K images per class. All images are RGB, 512x512 px at a resolution of 0.5 micrometers per pixel. For more information, please stay tuned for our upcoming manuscript on www.kather.ai.
DOI: 10.5281/zenodo.3955046
title: Synthetic histology images of colorectal cancer, generated by conditional generative adversarial networks

description: These are generated (synthetic) histology images of colorectal cancer. These images were generated by conditional GANs and are in two classes: MSIH (microsatellite instable high) and nonMSIH. There are two sets: one set with 10K images per class and another one with 75K images per class. All images are RGB, 512x512 px at a resolution of 0.5 micrometers per pixel. For more information, please stay tuned for our upcoming manuscript on www.kather.ai.
DOI: 10.6084/m9.figshare.3761562.v1550
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.21227/0vnv-6355
title: Measurement and Simulation of Human Sitting and Standing Movement Biomechanics

description: Although regenerative actuators can extend the operating durations of robotic lower-limb exoskeletons and prostheses, these energy-efficient powertrains have been exclusively designed and evaluated for continuous level-ground walking. Here we analyzed the lower-limb joint mechanical power during stand-to-sit movements using inverse dynamic simulations to estimate the biomechanical energy available for electrical regeneration during activities more applicable to aging and rehabilitation populations than walking. Nine subjects performed 20 sitting and standing movements while lower-limb kinematics and ground reaction forces were measured. Subject-specific body segment parameters were estimated using parameter identification, whereby differences in ground reaction forces and moments between the experimental measurements and inverse dynamic simulations were minimized. Joint mechanical power was calculated from net joint torques and rotational velocities and numerically integrated over time to determine joint biomechanical energy. The hip generated the largest peak negative mechanical power (1.8 ± 0.5 W/kg), followed by the knee (0.8 ± 0.3 W/kg) and ankle (0.2 ± 0.1 W/kg). Negative mechanical work from the hip, knee, and ankle joints per stand-to-sit movement were 0.35 ± 0.06 J/kg, 0.15 ± 0.08 J/kg, and 0.02 ± 0.01 J/kg, respectively. Assuming an 80-kg person and previously published regenerative actuator efficiencies (i.e., maximum 63%), robotic lower-limb exoskeletons and prostheses could theoretically regenerate ~26 Joules of electrical energy while sitting down, compared to ~19 Joules per walking stride. Given that these regeneration performance calculations are based on healthy young adults, future research should involve seniors and/or rehabilitation patients to better estimate the biomechanical energy available for electrical regeneration among individuals with mobility impairments.Reference:Laschowski B, Razavian RS, and McPhee J. (2020). Simulation of Stand-to-Sit Biomechanics for Design of Lower-Limb Exoskeletons and Prostheses with Energy Regeneration. Under Review.
DOI: 10.3886/icpsr35271.v1
title: Survey of Consumer Attitudes and Behavior, May 2000
title: Survey of Consumers
title: Version 1

description: The Survey of Consumer Attitudes and Behavior series was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2000 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey, were respondents' types of savings and financial investments, loan use, family income, and retirement planning. Other topics in this series typically include ownership, lease, and use of automobiles, respondents' use of personal computers at home and in the office, and respondents' familiarity with and use of the Internet. Demographic information includes ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
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: Standardized missing values.; Created online analysis version with question text..
description: Datasets: DS0: Study-Level Files DS1: Public-Use Data DS2: Restricted-Use Data
description: Survey of Consumer Attitudes and Behavior Series
description: computer-assisted telephone interview (CATI)
description: Persons aged 18 years or older living in households with telephones within the coterminous United States. Smallest Geographic Unit: FIPS code
description: National sample of dwelling units selected by area probability sampling.