cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8286401
title: User Study Data for "Proxemic Cursor Interactions for Touchless Widget Control"

description: User study data from the Proxemic Cursor Interactions for Touchless Widget Control paper, published at the SUI 2023 conference.
DOI: 10.6084/m9.figshare.24038484
title: Plant community and soil data from the monodominant forest patchs of <i>Leptobalanus parvifolius</i> in the Pantanal Wetland.xlsx

description: The data consist of measurements of trees in patches of monodominant forest, such as basal area, number of species, abundance, height and dominance. In addition to flood measurements and soil nutrients
DOI: 10.6084/m9.figshare.24038484.v1
title: Plant community and soil data from the monodominant forest patchs of <i>Leptobalanus parvifolius</i> in the Pantanal Wetland.xlsx

description: The data consist of measurements of trees in patches of monodominant forest, such as basal area, number of species, abundance, height and dominance. In addition to flood measurements and soil nutrients
DOI: 10.5519/qd.cfqyvesx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5646148 records)
DOI: 10.5519/qd.ocvw8u12
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (30 records)
DOI: 10.5519/qd.9ltwpq81
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (32 records)
DOI: 10.5519/qd.scgaj7hv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (63 records)
DOI: 10.5519/qd.gzcqkdde
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (47 records)
DOI: 10.5281/zenodo.8286454
title: accipiter_madagascariensis_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8286453
title: accipiter_madagascariensis_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8286253
title: Duck94 time series

description: Time series from pressure gages and current meters deployed along a cross-shore transect from near the shoreline to about 5 m water depth at the USACE Field Research Facility, Duck, NC in 1994. The README describes the 2Hz time series, the file with X-Y-Z locations, and provides links to bathymetry surveys and incident wave frequency-directional data. The Duck94 data set includes both offshore and onshore sandbar migration, incident waves from the north and the south of shore normal, and incident significant wave heights from 0.4 to 4.0 m.
description: {"references": ["Gallagher, Edith, Steve Elgar, and R.T. Guza, 1998. Observations of sand bar evolution on a natural beach, J. Geophysical Research 103, 3203-3215.", "Rafati, Y., Tian-Jian Hsu, Steve Elgar, Britt Raubenheimer, Ellen Quataert, and Ap van Dongeren, 2021 Modeling the hydrodynamics and morphodynamics of sandbar migration events, Coastal Engineering 166, https://doi.org/10.1016/j.coastaleng.2021.103885.", "Elgar, Steve, R.T. Guza, B. Raubenheimer, T.H.C. Herbers, and Edith Gallagher, 1997 Spectral evolution of shoaling and breaking waves on a barred beach, J. Geophysical Research 102, 15,797-15,805.", "Gallagher, Edith, Steve Elgar, and E.B. Thornton, 1998 Megaripple migration in a natural surfzone, Nature 394, 165-168.", "Herbers, T.H.C., N.R. Russnogle, and Steve Elgar, 2000 Spectral energy balance of breaking waves within the surf zone, J. Physical Oceanography 30, 2723-2737.", "Elgar, Steve, Edith Gallagher, and R.T. Guza, 2001 Nearshore sand bar migration, J. Geophysical Research 106, 11,623-11,627."]}
DOI: 10.5281/zenodo.8286252
title: Duck94 time series

description: Time series from pressure gages and current meters deployed along a cross-shore transect from near the shoreline to about 5 m water depth at the USACE Field Research Facility, Duck, NC in 1994. The README describes the 2Hz time series, the file with X-Y-Z locations, and provides links to bathymetry surveys and incident wave frequency-directional data. The Duck94 data set includes both offshore and onshore sandbar migration, incident waves from the north and the south of shore normal, and incident significant wave heights from 0.4 to 4.0 m.
description: {"references": ["Gallagher, Edith, Steve Elgar, and R.T. Guza, 1998. Observations of sand bar evolution on a natural beach, J. Geophysical Research 103, 3203-3215.", "Rafati, Y., Tian-Jian Hsu, Steve Elgar, Britt Raubenheimer, Ellen Quataert, and Ap van Dongeren, 2021 Modeling the hydrodynamics and morphodynamics of sandbar migration events, Coastal Engineering 166, https://doi.org/10.1016/j.coastaleng.2021.103885.", "Elgar, Steve, R.T. Guza, B. Raubenheimer, T.H.C. Herbers, and Edith Gallagher, 1997 Spectral evolution of shoaling and breaking waves on a barred beach, J. Geophysical Research 102, 15,797-15,805.", "Gallagher, Edith, Steve Elgar, and E.B. Thornton, 1998 Megaripple migration in a natural surfzone, Nature 394, 165-168.", "Herbers, T.H.C., N.R. Russnogle, and Steve Elgar, 2000 Spectral energy balance of breaking waves within the surf zone, J. Physical Oceanography 30, 2723-2737.", "Elgar, Steve, Edith Gallagher, and R.T. Guza, 2001 Nearshore sand bar migration, J. Geophysical Research 106, 11,623-11,627."]}
DOI: 10.34740/kaggle/dsv/6369613
title: Dataset for Event Extraction in Yoruba Language
DOI: 10.5281/zenodo.8284024
title: Data source for "A universal programmable Gaussian Boson Sampler for drug discovery"

description: Source Data for the figures in paper.
DOI: 10.5281/zenodo.8284023
title: Data source for "A universal programmable Gaussian Boson Sampler for drug discovery"

description: Source Data for the figures in paper.
DOI: 10.5519/qd.ad2cuvdu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (296 records)
DOI: 10.48366/r606956
title: Screening of the papers presented at Artificial Intelligence Section at Computer Science and Information Technologies CSIT 2022 conference

description: Research on the papers presented at Artificial Intelligence Section at Computer Science and Information Technologies CSIT 2022 conference
DOI: 10.5281/zenodo.8286375
title: Dose-L1000

description: Dose-L1000 database
DOI: 10.5281/zenodo.8286374
title: Dose-L1000

description: Dose-L1000 database
DOI: 10.34740/kaggle/dsv/6369817
title: MCPT-dataset
DOI: 10.5281/zenodo.8286477
title: accipiter_madagascariensis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8286476
title: accipiter_madagascariensis_zanfona_1.fasta.gz

description: .
DOI: 10.5519/qd.lksajn79
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (37 records)
DOI: 10.23719/1529436
title: Six-Year Review 3 Compliance Monitoring Data (2006-2011)

description: In December 2016, EPA announced the review results for the Agency’s third Six-Year Review (called Six-Year Review 3). EPA analyzed compliance monitoring data for the Six-Year Review 3 using data provided by states/primacy agencies through the Information Collection Request (ICR) for Six-Year Review 3 covering January 2006 through December 2011.

Each zip file contains data for multiple contaminants and related information that can be unzipped into tab delimited text files. The number of records and associated systems in the data files and the size of the files range considerably from contaminant to contaminant, which may be attributed to many factors such as the applicability of monitoring requirements, the required sampling frequency and results from quality assurance/quality control (QA/QC) measures. 
 
A detailed description of the data fields and their definitions, notes about the data, and instructions for downloading and importing datasets into software applications such as Excel can be found in the User Guide.
DOI: 10.5281/zenodo.8286465
title: SandyDuck 1997 timeseries

description: Time series (2Hz) of waves and currents in 5 alongshore arrays from near the shoreline to 7 m water depth at the USACE Field Research Facility, Duck, NC, USA collected between Sep 1 and Oct 31 1997. The README describes the files with time series of pressure and velocity (2 Hz), the files with the X-Y-Z locations of the sensors, and provides links to the nearly daily bathymetric surveys and the incident (8-m water depth) wave conditions (frequency-directional spectra)
description: {"references": ["Elgar, Steve, R.T. Guza, W.C. O'Reilly, B. Raubenheimer, and T.H.C. Herbers, 2001 Wave energy and direction observed near a pier, ASCE J. Waterway, Port, Coastal, and Ocean Engineering 127, 2-6.", "Raubenheimer, B., R.T. Guza, and Steve Elgar, 2001 Field observations of wave-driven setdown and setup, J. Geophysical Research 106, 4629-4638.", "Trowbridge, J. and Steve Elgar, 2001 Turbulence measurements in the surfzone, J. Physical Oceanography 31, 2403-2417", "Ruessink, G., J. Miles, F. Feddersen, R.T. Guza, and Steve Elgar, 2001 Modeling the alongshore current on barred beaches, J. Geophysical Research 106, 22,451-22,463.", "Herbers, T.H.C, Steve Elgar, N.A. Sarap, and R.T. Guza, 2002 Nonlinear dispersion of surface gravity waves in shallow water, J. Physical Oceanography 32, 1181-1193.", "Sheremet, A., R.T. Guza, Steve Elgar, and T.H.C. Herbers, 2002 Observations of nearshore infragravity waves: Part 1: Seaward and shoreward propagating components, J. Geophysical Research 107, 3095, doi:10.1029/2001JC000970.", "Herbers, T.H.C., Mark Orzech, Steve Elgar, and R.T. Guza, 2003 Shoaling transformation of wave frequency-directional spectra, J. Geophysical Research 108, 3013, doi:10.1029/2001JC001304", "Noyes, T. James, R.T. Guza, Steve Elgar, and T.H.C. Herbers, 2004 Field observations of shear waves in the surf zone, J. Geophysical Research 109, doi:10.1029/2002JC001761.", "Feddersen, F., R.T. Guza, and Steve Elgar, 2004 Inverse modeling of the one-dimensional setup and alongshore current in the nearshore, J. Physical Oceanography 34, 920-933", "Noyes, T. James, R.T. Guza, F. Feddersen, Steve Elgar, and T.H.C. Herbers, 2005 Model-data comparisons of shear waves in the nearshore, J. Geophysical Research 110, C05019, doi:10.1029/2004JC002541", "Henderson, Stephen, R.T. Guza, Steve Elgar, and T.H.C. Herbers, 2006 Refraction of surface gravity waves by shear waves, J. of Physical Oceanography, 36, 629-635", "Apotsos, Alex, Britt Raubenheimer, Steve Elgar, and R.T. Guza, 2008 Testing and calibrating parametric wave transformation models on natural beaches, Coastal Engineering 55, 224-235 (doi:10.1016/j.coastaleng.2007.10.002)"]}
DOI: 10.5281/zenodo.8286464
title: SandyDuck 1997 timeseries

description: Time series (2Hz) of waves and currents in 5 alongshore arrays from near the shoreline to 7 m water depth at the USACE Field Research Facility, Duck, NC, USA collected between Sep 1 and Oct 31 1997. The README describes the files with time series of pressure and velocity (2 Hz), the files with the X-Y-Z locations of the sensors, and provides links to the nearly daily bathymetric surveys and the incident (8-m water depth) wave conditions (frequency-directional spectra)
description: {"references": ["Elgar, Steve, R.T. Guza, W.C. O'Reilly, B. Raubenheimer, and T.H.C. Herbers, 2001 Wave energy and direction observed near a pier, ASCE J. Waterway, Port, Coastal, and Ocean Engineering 127, 2-6.", "Raubenheimer, B., R.T. Guza, and Steve Elgar, 2001 Field observations of wave-driven setdown and setup, J. Geophysical Research 106, 4629-4638.", "Trowbridge, J. and Steve Elgar, 2001 Turbulence measurements in the surfzone, J. Physical Oceanography 31, 2403-2417", "Ruessink, G., J. Miles, F. Feddersen, R.T. Guza, and Steve Elgar, 2001 Modeling the alongshore current on barred beaches, J. Geophysical Research 106, 22,451-22,463.", "Herbers, T.H.C, Steve Elgar, N.A. Sarap, and R.T. Guza, 2002 Nonlinear dispersion of surface gravity waves in shallow water, J. Physical Oceanography 32, 1181-1193.", "Sheremet, A., R.T. Guza, Steve Elgar, and T.H.C. Herbers, 2002 Observations of nearshore infragravity waves: Part 1: Seaward and shoreward propagating components, J. Geophysical Research 107, 3095, doi:10.1029/2001JC000970.", "Herbers, T.H.C., Mark Orzech, Steve Elgar, and R.T. Guza, 2003 Shoaling transformation of wave frequency-directional spectra, J. Geophysical Research 108, 3013, doi:10.1029/2001JC001304", "Noyes, T. James, R.T. Guza, Steve Elgar, and T.H.C. Herbers, 2004 Field observations of shear waves in the surf zone, J. Geophysical Research 109, doi:10.1029/2002JC001761.", "Feddersen, F., R.T. Guza, and Steve Elgar, 2004 Inverse modeling of the one-dimensional setup and alongshore current in the nearshore, J. Physical Oceanography 34, 920-933", "Noyes, T. James, R.T. Guza, F. Feddersen, Steve Elgar, and T.H.C. Herbers, 2005 Model-data comparisons of shear waves in the nearshore, J. Geophysical Research 110, C05019, doi:10.1029/2004JC002541", "Henderson, Stephen, R.T. Guza, Steve Elgar, and T.H.C. Herbers, 2006 Refraction of surface gravity waves by shear waves, J. of Physical Oceanography, 36, 629-635", "Apotsos, Alex, Britt Raubenheimer, Steve Elgar, and R.T. Guza, 2008 Testing and calibrating parametric wave transformation models on natural beaches, Coastal Engineering 55, 224-235 (doi:10.1016/j.coastaleng.2007.10.002)"]}
DOI: 10.34740/kaggle/dsv/6369945
title: HCAHPS Patient Survey
DOI: 10.5281/zenodo.8019822
title: Data for ms. Do people really care less about their cats than about their dogs? A comparative study in three European countries

description: The present dataset is based on a questionnaire which is also part of this package. The enclose questionnaire includes identifiable and relevant variables names (yellow highlighted). Participants were recruited by Norstat, a European-based survey company, with the aim of gaining a representative sample of Austrian, Danish and UK citizens, including pet owners. The survey company administers and hosts online panels comprising citizens from many European countries. We aimed for a sample that is representative in terms of age, gender, and region. Therefore, a stratified sampling principle was set up where individuals within each stratum were randomly invited to participate. The invitations were issued through e-mail that contained a link to the online questionnaire. Data was collected from 11-25<sup>th</sup> of March 2022 in Austria, from 11-24<sup>th</sup> of March 2022 in Denmark and from 8-23<sup>rd</sup> of March 2022 in the UK. The invitation provided information about the background of the study, the participating universities, ethical approval, estimated time for questionnaire completion and further, participants were informed that the completion of the questionnaire was voluntary and anonymous, and that they could exit the survey at any point. Before participants were directed to the survey, they ensured informed consent by confirming that they are over 17 years old, and consent to participate in this survey. Besides the questionnaire the dataset includes a csv and an Excel file consisting of the data that is used in the ms. and an rtf and a pdf file with data variable names/labels, and value labels.
DOI: 10.5281/zenodo.8286502
title: Data for ms. Do people really care less about their cats than about their dogs? A comparative study in three European countries

description: The present dataset is based on a questionnaire which is also part of this package. The enclose questionnaire includes identifiable and relevant variables names (yellow highlighted). Participants were recruited by Norstat, a European-based survey company, with the aim of gaining a representative sample of Austrian, Danish and UK citizens, including pet owners. The survey company administers and hosts online panels comprising citizens from many European countries. We aimed for a sample that is representative in terms of age, gender, and region. Therefore, a stratified sampling principle was set up where individuals within each stratum were randomly invited to participate. The invitations were issued through e-mail that contained a link to the online questionnaire. Data was collected from 11-25<sup>th</sup> of March 2022 in Austria, from 11-24<sup>th</sup> of March 2022 in Denmark and from 8-23<sup>rd</sup> of March 2022 in the UK. The invitation provided information about the background of the study, the participating universities, ethical approval, estimated time for questionnaire completion and further, participants were informed that the completion of the questionnaire was voluntary and anonymous, and that they could exit the survey at any point. Before participants were directed to the survey, they ensured informed consent by confirming that they are over 17 years old, and consent to participate in this survey. Besides the questionnaire the dataset includes a csv and an Excel file consisting of the data that is used in the ms. and an rtf and a pdf file with data variable names/labels, and value labels.
DOI: 10.5281/zenodo.8019821
title: Data for ms. Do people really care less about their cats than about their dogs? A comparative study in three European countries

description: The present dataset is based on a questionnaire which is also part of this package. The enclose questionnaire includes identifiable and relevant variables names (yellow highlighted). Participants were recruited by Norstat, a European-based survey company, with the aim of gaining a representative sample of Austrian, Danish and UK citizens, including pet owners. The survey company administers and hosts online panels comprising citizens from many European countries. We aimed for a sample that is representative in terms of age, gender, and region. Therefore, a stratified sampling principle was set up where individuals within each stratum were randomly invited to participate. The invitations were issued through e-mail that contained a link to the online questionnaire. Data was collected from 11-25<sup>th</sup> of March 2022 in Austria, from 11-24<sup>th</sup> of March 2022 in Denmark and from 8-23<sup>rd</sup> of March 2022 in the UK. The invitation provided information about the background of the study, the participating universities, ethical approval, estimated time for questionnaire completion and further, participants were informed that the completion of the questionnaire was voluntary and anonymous, and that they could exit the survey at any point. Before participants were directed to the survey, they ensured informed consent by confirming that they are over 17 years old, and consent to participate in this survey. Besides the questionnaire the dataset includes a csv and an Excel file consisting of the data that is used in the ms. and an rtf and a pdf file with data variable names/labels, and value labels.
DOI: 10.34740/kaggle/dsv/6369306
title: All medicine data(20k) Bangladesh
DOI: 10.5281/zenodo.5554978
title: Is this bug severe? A text-cum-graph based model for bug severity prediction

description: A snapshot of the dataset has been updated. For the time being, we are publishing a snapshot of the dataset where the bugs were reported after 2017. Paper link: https://arxiv.org/abs/2207.00623 (ECML-PKDD 2022) Cite our paper: @InProceedings{10.1007/978-3-031-26422-1_15,<br> author="Hazra, Rima<br> and Dwivedi, Arpit<br> and Mukherjee, Animesh",<br> editor="Amini, Massih-Reza<br> and Canu, St{\'e}phane<br> and Fischer, Asja<br> and Guns, Tias<br> and Kralj Novak, Petra<br> and Tsoumakas, Grigorios",<br> title="Is This Bug Severe? A Text-Cum-Graph Based Model for Bug Severity Prediction",<br> booktitle="Machine Learning and Knowledge Discovery in Databases",<br> year="2023",<br> publisher="Springer Nature Switzerland",<br> address="Cham",<br> pages="236--252",<br> isbn="978-3-031-26422-1"<br> } <strong>*** Please see the new version. (10.5281/zenodo.5554978)</strong> There is a total of six files. <strong>bug_descriptions.csv:</strong> This file contains the bug id and its description. <strong>bug_comments.csv:</strong> This file contains three columns. The columns are the bug ids, comments and timestamp of the comment. <strong>bug_REPORTED_ON_details.csv:</strong> This file contains the bug id and the package name on which the bug is reported <strong>affect_dataset.csv: </strong>This file contains the bug id and the affected packages along with the affect timestamp. <strong>bug_heat_2019.csv:</strong> This file contains the bug ids and its bug heats crawled in November 2019. <strong>bug_heat_2020.csv:</strong> This file contains the bug ids and its bug heats crawled in November 2020.
DOI: 10.5281/zenodo.5554974
title: Is this bug severe? A text-cum-graph based model for bug severity prediction

description: A snapshot of the dataset has been updated. For the time being, we are publishing a snapshot of the dataset where the bugs were reported after 2017. Paper link: https://arxiv.org/abs/2207.00623 (ECML-PKDD 2022) Cite our paper: @InProceedings{10.1007/978-3-031-26422-1_15,<br> author="Hazra, Rima<br> and Dwivedi, Arpit<br> and Mukherjee, Animesh",<br> editor="Amini, Massih-Reza<br> and Canu, St{\'e}phane<br> and Fischer, Asja<br> and Guns, Tias<br> and Kralj Novak, Petra<br> and Tsoumakas, Grigorios",<br> title="Is This Bug Severe? A Text-Cum-Graph Based Model for Bug Severity Prediction",<br> booktitle="Machine Learning and Knowledge Discovery in Databases",<br> year="2023",<br> publisher="Springer Nature Switzerland",<br> address="Cham",<br> pages="236--252",<br> isbn="978-3-031-26422-1"<br> } <strong>*** Please see the new version. (10.5281/zenodo.5554978)</strong> There is a total of six files. <strong>bug_descriptions.csv:</strong> This file contains the bug id and its description. <strong>bug_comments.csv:</strong> This file contains three columns. The columns are the bug ids, comments and timestamp of the comment. <strong>bug_REPORTED_ON_details.csv:</strong> This file contains the bug id and the package name on which the bug is reported <strong>affect_dataset.csv: </strong>This file contains the bug id and the affected packages along with the affect timestamp. <strong>bug_heat_2019.csv:</strong> This file contains the bug ids and its bug heats crawled in November 2019. <strong>bug_heat_2020.csv:</strong> This file contains the bug ids and its bug heats crawled in November 2020.
DOI: 10.6084/m9.figshare.22138046.v1
title: Artificial Water Features and Wetlands in the Tampa Bay Watershed, Florida, U.S.A. in the1950s and in 2007

description: This project consists of 5 files, a ReadMe (text) and four geospatial shapefiles generated in ArcPro 3.0.4. (ESRI). Two shapefiles depict the distribution and spatial extent of artificial water features (AWFs, e.g., reservoirs, stormwater retention ponds) in the 1950s and in 2007 in the Tampa Bay Watershed. The other two depict the distribution and spatial extent of wetlands in the 1950s and in 2007 in the Tampa Bay Watershed. We used a combination of heads-up digitizing (while observing 1950s aerial black and white aerial imagery) and reference to ancillary datasets to map wetlands and AWFs in the 1950s. We based the wetlands 2007 map off the land use land cover dataset published by SWFWMD (2008). We similarly based the 2007 AWF dataset on the SWFWMD LULC dataset but additionally digitized AWF features while referencing aerial imagery and products supplied by the Mosaic Company.Additional method descriptions can be found in Rains et al. 2013 (wetland datasets, https://link.springer.com/article/10.1007/s13157-013-0455-4) and in Rains et al. (2023) titled <i>Reorganizing the waterscape: asymmetric loss of wetlands and gain of artificial water features in a mixed-use watershed</i> (AWF and change datasets). We initially developed the two wetland datasets, in collaboration with the Balmoral Group, to support a wetland area change analysis in the Tampa Bay Watershed. We subsequently used these datasets in our present work (Rains et al. 2023) to analyze change in wetland distribution, configuration, and geometry (e.g., perimeter length). The wetland datasets are not meant as a map of jurisdictional wetlands.<br>