cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4735597
title: Chrysaora fuscescens SPAdes preassembly

description: .
DOI: 10.5281/zenodo.4735596
title: Chrysaora fuscescens SPAdes preassembly

description: .
DOI: 10.3886/e119446v86
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Alexandra Skinner <br>skinnera@bu.edu <br>Research Fellow & Database Manager<br>Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: State policies. Smallest Geographic Unit: State
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
DOI: 10.5281/zenodo.4735601
title: Ciconia abdimii SPAdes preassembly

description: .
DOI: 10.5281/zenodo.4735600
title: Ciconia abdimii SPAdes preassembly

description: .
DOI: 10.5281/zenodo.4735606
title: Ciconia ciconia SPAdes preassembly

description: .
DOI: 10.5281/zenodo.4735605
title: Ciconia ciconia SPAdes preassembly

description: .
DOI: 10.6073/pasta/e7bbe4d72368028c863fdc02cbfc6703
title: GCE-LTER Altamaha River Plant Community Monitoring Survey in October 2018

description: A quadrat survey was conducted in October 2018 to measure the species and size distribution of plants at 3 sampling sites on the creekbank of the Altamaha River. The sites were chosen to capture the transition from Spartina alterniflora to Spartina cynosuroides (site SCSA) and the transition from Spartina cynosuroides to Zizaniopsis miliacea (sites ZSC1 and ZSC2). The quadrats were established as permanent plots in October 2012 by placing PVC stakes along the creekbank at each site. Plots were evenly spaced, but were not randomly located because the goal was to start with mixtures of vegetation in most of the plots, and vegetation was distributed in patches along the creekbanks. Therefore, these plots provide useful measures of vegetation change, but are not a random sample of the vegetation at the site. Plots will be replaced each year as necessary to replace any lost to disturbance. The plots were visually surveyed and the species, shoot height, and flowering status was recorded individually for each shoot over 10 cm in height present in each plot. Observations from plots exhibiting signs of disturbance were noted in a separate data set. This survey will be repeated annually to assess changes in plant distribution and biomass in relation to environmental changes documented by other GCE LTER monitoring efforts.
DOI: 10.5281/zenodo.4735612
title: Ciconia episcopus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.4735611
title: Ciconia episcopus SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.6753269
title: Capturing the geography of children’s active and sedentary behaviours at home: the HomeSPACE measurement tool

description: Children spend much of their time at home, indoors and sedentary. This study reports on the development, exploratory factor analysis, validity and reliability of the HomeSPACE Instrument. The instrument assesses features of the home physical environment that influence children’s sedentary behaviour and physical activity, and the family influences that create this environment. The space and equipment audit achieved good to excellent criterion validity and test-retest reliability for equipment, outdoor features and home design measures (Study 1, <i>n</i> = 36 parents). Family influence scales showed acceptable internal consistency and test-retest reliability (Study 2, <i>n</i> = 96 parents). Factor analysis highlighted fifteen scales to assess the importance, preferences and supportiveness of the home environment for activity. The HomeSPACE Instrument extends previous tools to provide a valid and reliable assessment of home influences on children’s sedentary behaviour and physical activity, that is adaptable for varying home physical environments.
DOI: 10.6084/m9.figshare.6753269.v2
title: Capturing the geography of children’s active and sedentary behaviours at home: the HomeSPACE measurement tool

description: Children spend much of their time at home, indoors and sedentary. This study reports on the development, exploratory factor analysis, validity and reliability of the HomeSPACE Instrument. The instrument assesses features of the home physical environment that influence children’s sedentary behaviour and physical activity, and the family influences that create this environment. The space and equipment audit achieved good to excellent criterion validity and test-retest reliability for equipment, outdoor features and home design measures (Study 1, <i>n</i> = 36 parents). Family influence scales showed acceptable internal consistency and test-retest reliability (Study 2, <i>n</i> = 96 parents). Factor analysis highlighted fifteen scales to assess the importance, preferences and supportiveness of the home environment for activity. The HomeSPACE Instrument extends previous tools to provide a valid and reliable assessment of home influences on children’s sedentary behaviour and physical activity, that is adaptable for varying home physical environments.
DOI: 10.6084/m9.figshare.6753269.v1
title: Capturing the geography of children’s active and sedentary behaviours at home: the HomeSPACE measurement tool

description: Children spend much of their time at home, indoors and sedentary. This study reports on the development, exploratory factor analysis, validity and reliability of the HomeSPACE Instrument. The instrument assesses features of the home physical environment that influence children’s sedentary behaviour and physical activity, and the family influences that create this environment. The space and equipment audit achieved good to excellent criterion validity and test-retest reliability for equipment, outdoor features and home design measures (Study 1, <i>n</i> = 36 parents). Family influence scales showed acceptable internal consistency and test-retest reliability (Study 2, <i>n</i> = 96 parents). Factor analysis highlighted fifteen scales to assess the importance, preferences and supportiveness of the home environment for activity. The HomeSPACE Instrument extends previous tools to provide a valid and reliable assessment of home influences on children’s sedentary behaviour and physical activity, that is adaptable for varying home physical environments.
DOI: 10.6084/m9.figshare.3761562.v1858
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: 10.7277/fc3t-me71
title: Design and Control Strategy of 3-Prismatic-Revolute-Spherical Ankle Rehabilitation Robot

description: Aiming at the position and pose control requirement of the ankle rehabilitation robot, two schemes of 3-PRS (Prismatic-Revolute-Spherical) parallel ankle rehabilitation robots are proposed, and the analysis and simulation of the control strategy are carried out. Two schemes of 3-PRS ankle rehabilitation robots are statically analyzed by the finite element method. Through the stress comparison of the two schemes, the stable one is determined. Three control strategies including the traditional PID control, PID control based on the genetic algorithm and adaptive fuzzy PID control are proposed. A multidisciplinary co-simulation platform is established by the combination of ADAMS, SOLIDWORKS and MATLAB, and the three control strategies are verified. The best control strategy for the rehabilitation robots is determined by comparing control effects. This study lays a solid foundation for research on the control of the rehabilitation robots.
DOI: 10.15482/usda.adc/1522389
title: Data from: Antigenic distance between North American swine and human seasonal H3N2 influenza A viruses as an indication of zoonotic risk to humans
DOI: 10.6084/m9.figshare.14531724
title: 16S_rRNA_Microbiome_Datasets

description: Raw tables for each dataset used in this manuscript.
DOI: 10.5281/zenodo.4700311
title: Benthic foraminifera-algae and carbon isotope data from the Early Paleogene of NE India

description: Carbon isotope and thin-section data from a Lakadong Limestone section in East Khasi Hills, Meghalaya, NE India
DOI: 10.5281/zenodo.4700310
title: Benthic foraminifera-algae and carbon isotope data from the Early Paleogene of NE India

description: Carbon isotope and thin-section data from a Lakadong Limestone section in East Khasi Hills, Meghalaya, NE India
DOI: 10.6084/m9.figshare.14444642
title: Tabla 3 - Codificaciones

description: Findings of research conducted across 6 Catalan universities<br>
DOI: 10.6084/m9.figshare.14444642.v2
title: Tabla 3 - Codificaciones

description: Findings of research conducted across 6 Catalan universities<br>
DOI: 10.6084/m9.figshare.14444642.v1
title: Tabla 3 - Codificaciones

description: Findings of research conducted across 6 Catalan universities<br>
DOI: 10.5281/zenodo.4735632
title: Downscaled LST dataset supporting for paper: 'Diurnal Evolution of Urban Tree Temperature at a City Scale ' Vo T. T. and Hu L. (2021)

description: The dataset supporting for the publication: 'Diurnal Evolution of Urban Tree Temperature at a City Scale ' Vo T. T. and Hu L. (2021), Scientific Reports. The data format is in geotiff with spatial resolution of approximately 70 m. The data covers only New York City. Each file contains downscaled LST values for each end member (7 members included: Tree Canopy, Grass, Bare Soil, Building, Road, Other Impervious, Railways) for each date respectively. Also, ECOSTRESS LST (after geometric correction and QA decoded) imaginary are also included <em>Structure of the file name: End_member_date_.tif (e.g., TreeCanopy2019-10-05T14-21-33.tif is the image of Tree Temperature on 2019-10-05 at 14-21-33 (LT) over New York City)</em>
DOI: 10.5281/zenodo.4735631
title: Downscaled LST dataset supporting for paper: 'Diurnal Evolution of Urban Tree Temperature at a City Scale ' Vo T. T. and Hu L. (2021)

description: The dataset supporting for the publication: 'Diurnal Evolution of Urban Tree Temperature at a City Scale ' Vo T. T. and Hu L. (2021), Scientific Reports. The data format is in geotiff with spatial resolution of approximately 70 m. The data covers only New York City. Each file contains downscaled LST values for each end member (7 members included: Tree Canopy, Grass, Bare Soil, Building, Road, Other Impervious, Railways) for each date respectively. Also, ECOSTRESS LST (after geometric correction and QA decoded) imaginary are also included <em>Structure of the file name: End_member_date_.tif (e.g., TreeCanopy2019-10-05T14-21-33.tif is the image of Tree Temperature on 2019-10-05 at 14-21-33 (LT) over New York City)</em>
DOI: 10.5281/zenodo.4735496
title: Supporting data: Seasonal predictability of sea ice and bottom temperature across the eastern Bering Sea shelf

description: This dataset includes the simulation output that supports the article, "Seasonal predictability of sea ice and bottom temperature across the eastern Bering Sea shelf", submitted to the Journal of Geophysical Reasearch: Oceans. All model simulations were run using the Bering10K ROMS model, an implementation of the Regional Ocean Modeling System (ROMS) tailored to the Bering Sea region. See manuscript for further details (to be linked here upon final publication). The dataset includes: B10K-NMME_CFS_monthlycomposite.nc: Monthly mean temperature and ice coverage output from the downscaled Climate Forecast System (CFS) retrospective forecast simulations. B10K-NMME_CanCM4_monthlycomposite.nc: Monthly mean temperature and ice coverage output from the downscaled Canadian Coupled Climate Model (CanCM4) retrospective forecast simulations. B10K-K20nobio_CFS_monthlycomposite.mat: Monthly mean temperature and ice coverage output from the CFS reanalysis-driven hindcast simulations Metrics (including anomaly correlation coefficient and significance tests) used within the study to quantify the simulation forecast skill.
DOI: 10.5281/zenodo.4735495
title: Supporting data: Seasonal predictability of sea ice and bottom temperature across the eastern Bering Sea shelf

description: This dataset includes the simulation output that supports the article, "Seasonal predictability of sea ice and bottom temperature across the eastern Bering Sea shelf", submitted to the Journal of Geophysical Reasearch: Oceans. All model simulations were run using the Bering10K ROMS model, an implementation of the Regional Ocean Modeling System (ROMS) tailored to the Bering Sea region. See manuscript for further details (to be linked here upon final publication). The dataset includes: B10K-NMME_CFS_monthlycomposite.nc: Monthly mean temperature and ice coverage output from the downscaled Climate Forecast System (CFS) retrospective forecast simulations. B10K-NMME_CanCM4_monthlycomposite.nc: Monthly mean temperature and ice coverage output from the downscaled Canadian Coupled Climate Model (CanCM4) retrospective forecast simulations. B10K-K20nobio_CFS_monthlycomposite.mat: Monthly mean temperature and ice coverage output from the CFS reanalysis-driven hindcast simulations Metrics (including anomaly correlation coefficient and significance tests) used within the study to quantify the simulation forecast skill.
DOI: 10.6084/m9.figshare.14531751
title: Attributions and Disability in the workplace

description: SPSS file of experimental vignette study on attributions of behaviors related to coworkers with disabilities. The methodology was an on-line survey (Qualtrics) administered through M-Turk. Respondents provide individual disposition data, and then responded to questions based on one of 16 vignettes. The methodology was a fully randomized 4x2x2 experimental design.<br>The study was approved by the Saint Joseph's University IRB ethics review board.
DOI: 10.6084/m9.figshare.14531751.v1
title: Attributions and Disability in the workplace

description: SPSS file of experimental vignette study on attributions of behaviors related to coworkers with disabilities. The methodology was an on-line survey (Qualtrics) administered through M-Turk. Respondents provide individual disposition data, and then responded to questions based on one of 16 vignettes. The methodology was a fully randomized 4x2x2 experimental design.<br>The study was approved by the Saint Joseph's University IRB ethics review board.
DOI: 10.5281/zenodo.4735591
title: Output data for "Deep learned process parameterizations provide better representations of turbulent heat fluxes in hydrologic models"

description: This contains all of the processed/merged output from the simulations for the paper "Deep learned process parameterizations provide better representations of turbulent heat fluxes in hydrologic models", submitted to WRR.
DOI: 10.5281/zenodo.4734828
title: MAESTRO

description: MAESTRO (MIDI and Audio Edited for Synchronous TRacks and Organization) is a dataset composed of about 200 hours of virtuosic piano performances captured with fine alignment (~3 ms) between note labels and audio waveforms. We partnered with organizers of the International Piano-e-Competition for the raw data used in this dataset. During each installment of the competition virtuoso pianists perform on Yamaha Disklaviers which, in addition to being concert-quality acoustic grand pianos, utilize an integrated high-precision MIDI capture and playback system. Recorded MIDI data is of sufficient fidelity to allow the audition stage of the competition to be judged remotely by listening to contestant performances reproduced over the wire on another Disklavier instrument. The dataset contains about 200 hours of paired audio and MIDI recordings from ten years of International Piano-e-Competition. The MIDI data includes key strike velocities and sustain/sostenuto/una corda pedal positions. Audio and MIDI files are aligned with ∼3 ms accuracy and sliced to individual musical pieces, which are annotated with composer, title, and year of performance. Uncompressed audio is of CD quality or higher (44.1–48 kHz 16-bit PCM stereo). A train/validation/test split configuration is also proposed, so that the same composition, even if performed by multiple contestants, does not appear in multiple subsets. Repertoire is mostly classical, including composers from the 17th to early 20th century. For more information about how the dataset was created and several applications of it, please see the paper where it was introduced: Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. For an example application of the dataset, see our blog post on Wave2Midi2Wave. Additional information is available on the Magenta website: The MAESTRO Dataset If you use the MAESTRO dataset in your work, please cite the paper where it was introduced: <pre>Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, and Douglas Eck. "Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset." In International Conference on Learning Representations, 2019. </pre> You can also use the following BibTeX entry: <pre>@inproceedings{ hawthorne2018enabling, title={Enabling Factorized Piano Music Modeling and Generation with the {MAESTRO} Dataset}, author={Curtis Hawthorne and Andriy Stasyuk and Adam Roberts and Ian Simon and Cheng-Zhi Anna Huang and Sander Dieleman and Erich Elsen and Jesse Engel and Douglas Eck}, booktitle={International Conference on Learning Representations}, year={2019}, url={https://openreview.net/forum?id=r1lYRjC9F7}, } </pre> Please also make sure to specify which version of the dataset you are using. MAESTRO is provided as a zip file containing the MIDI and WAV files as well as metadata in CSV and JSON formats. A MIDI-only archive of the dataset is also available.
DOI: 10.5281/zenodo.4654123
title: MAESTRO

description: MAESTRO (MIDI and Audio Edited for Synchronous TRacks and Organization) is a dataset composed of about 200 hours of virtuosic piano performances captured with fine alignment (~3 ms) between note labels and audio waveforms. We partnered with organizers of the International Piano-e-Competition for the raw data used in this dataset. During each installment of the competition virtuoso pianists perform on Yamaha Disklaviers which, in addition to being concert-quality acoustic grand pianos, utilize an integrated high-precision MIDI capture and playback system. Recorded MIDI data is of sufficient fidelity to allow the audition stage of the competition to be judged remotely by listening to contestant performances reproduced over the wire on another Disklavier instrument. The dataset contains about 200 hours of paired audio and MIDI recordings from ten years of International Piano-e-Competition. The MIDI data includes key strike velocities and sustain/sostenuto/una corda pedal positions. Audio and MIDI files are aligned with ∼3 ms accuracy and sliced to individual musical pieces, which are annotated with composer, title, and year of performance. Uncompressed audio is of CD quality or higher (44.1–48 kHz 16-bit PCM stereo). A train/validation/test split configuration is also proposed, so that the same composition, even if performed by multiple contestants, does not appear in multiple subsets. Repertoire is mostly classical, including composers from the 17th to early 20th century. For more information about how the dataset was created and several applications of it, please see the paper where it was introduced: Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. For an example application of the dataset, see our blog post on Wave2Midi2Wave. Additional information is available on the Magenta website: The MAESTRO Dataset If you use the MAESTRO dataset in your work, please cite the paper where it was introduced: <pre>Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, and Douglas Eck. "Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset." In International Conference on Learning Representations, 2019. </pre> You can also use the following BibTeX entry: <pre>@inproceedings{ hawthorne2018enabling, title={Enabling Factorized Piano Music Modeling and Generation with the {MAESTRO} Dataset}, author={Curtis Hawthorne and Andriy Stasyuk and Adam Roberts and Ian Simon and Cheng-Zhi Anna Huang and Sander Dieleman and Erich Elsen and Jesse Engel and Douglas Eck}, booktitle={International Conference on Learning Representations}, year={2019}, url={https://openreview.net/forum?id=r1lYRjC9F7}, } </pre> Please also make sure to specify which version of the dataset you are using. MAESTRO is provided as a zip file containing the MIDI and WAV files as well as metadata in CSV and JSON formats. A MIDI-only archive of the dataset is also available.
DOI: 10.6073/pasta/1580ca2aa7790dc3eeb93e19a1f506e5
title: Point-Quarter Distance and Dimension Measurements to Calculate Shrub Density and Estimate Shrub ANPP in a Chihuahuan Desert Creosote Shrubland at the Sevilleta National Wildlife Refuge, New Mexico

description: In an effort to better quantify NPP of Creosotebush in the Five-Points region, it was decided to test the Point-Quarter method against the standard 1-m2 quadrat method that has been in use since 1998. Transects were laid out across the 5 mammal trapping webs as well as across burned and unburned plots of the Mixed Shrub site (MS). Repeated measures of the same bushes are performed seasonally. Whole shrubs of various size classes are collected, sorted, and weighed to develop regressions for biomass. Purpose: Data was collected initially to determine density and dimensions of creosote bush in the Five points area on core rodent webs and on burned and unburned plots following the 2003 prescribed burn. It was decided to expand the project by continuing measurements through time to quantify the change in shrub size and with simultaneous harvest of shrubs to measure NPP.
DOI: 10.25400/lincolnuninz.14527113
title: Damage grading for coconut palms in Solomon Islands, Papua New Guinea and Fiji

description: A damage grading dataset for <i>Oryctes rhinoceros</i>, or commonly known as coconut rhinoceros beetle. The dataset consists of damage scores for palms that were affected by coconut rhinoceros beetle.
DOI: 10.25400/lincolnuninz.14527113.v1
title: Damage grading for coconut palms in Solomon Islands, Papua New Guinea and Fiji

description: A damage grading dataset for <i>Oryctes rhinoceros</i>, or commonly known as coconut rhinoceros beetle. The dataset consists of damage scores for palms that were affected by coconut rhinoceros beetle.