cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24534922
title: A Comparison of Laboratory and Field Measurements of Whitecap Foam Evolution from Breaking Waves

description: Sufficiently energetic breaking ocean waves produce distinctive visible foam signatures on the water surface called whitecaps. The mixture of surface whitecap foam cells, and sub-surface bubbles, results in the broad-band scattering of light that allow whitecaps to be measured with optical cameras. In this paper the temporal evolution of whitecap foam area from laboratory and oceanic breaking waves is compared. When appropriately scaled, the foam area time series for both laboratory and oceanic breaking waves follow similar trends, despite occurring in vastly different settings. Distinct similarities of the signature of foam stabilisation due to the presence of surfactants in the controlled laboratory experiments are also found in the field suggesting foam stabilisation may be a means to remotely sense the presence/absence or concentration of surfactants in the ocean. In addition, probability density distributions of key whitecap variables such as foam area growth and decay timescales and maximum foam area are compared between laboratory and oceanic whitecaps. The oceanic whitecaps are much larger in scale than the laboratory breaking waves, whereas the whitecap growth and decay timescales are similar in magnitude, the latter suggesting that the depths to which bubbles are injected during active air entrainment in the field are relatively shallow. The aggregated whitecap statistics are used to estimate the energy dissipation of individual whitecaps in a novel manner.
DOI: 10.6084/m9.figshare.24534922.v1
title: A Comparison of Laboratory and Field Measurements of Whitecap Foam Evolution from Breaking Waves

description: Sufficiently energetic breaking ocean waves produce distinctive visible foam signatures on the water surface called whitecaps. The mixture of surface whitecap foam cells, and sub-surface bubbles, results in the broad-band scattering of light that allow whitecaps to be measured with optical cameras. In this paper the temporal evolution of whitecap foam area from laboratory and oceanic breaking waves is compared. When appropriately scaled, the foam area time series for both laboratory and oceanic breaking waves follow similar trends, despite occurring in vastly different settings. Distinct similarities of the signature of foam stabilisation due to the presence of surfactants in the controlled laboratory experiments are also found in the field suggesting foam stabilisation may be a means to remotely sense the presence/absence or concentration of surfactants in the ocean. In addition, probability density distributions of key whitecap variables such as foam area growth and decay timescales and maximum foam area are compared between laboratory and oceanic whitecaps. The oceanic whitecaps are much larger in scale than the laboratory breaking waves, whereas the whitecap growth and decay timescales are similar in magnitude, the latter suggesting that the depths to which bubbles are injected during active air entrainment in the field are relatively shallow. The aggregated whitecap statistics are used to estimate the energy dissipation of individual whitecaps in a novel manner.
DOI: 10.6084/m9.figshare.24586941.v2
title: Spatial definition of the South East Africa Montane Archipelago (SEAMA)

description: Spatial definition of the South East Africa Montane Archipelago (SEAMA), an ecoregion described by Bayliss et al. (2023) as “a range of ancient granitic inselbergs in southern Malawi and northern Mozambique, climatically isolated by topography and trade winds, hosting humid evergreen forest, montane grassland and shrublands notable for their high levels of endemism across multiple taxa.”The files are provided in GPKG and KML formats, using geographic (WGS1984) and projected (UTM Zone 37S, GPKG only) coordinate reference systems. Two extents are provided:<b>seama_siteoutlines</b> delineates each of 30 core sites across the ecoregion<b>seama_convexhull</b> is a convex hull defined by the farthest extents of the core sites, plus other inselbergs at the periphery with the requisite elevation and humidityBayliss et al. (2023). The South East Africa Montane Archipelago (SEAMA) – a biogeographical appraisal of a threatened ecoregion. <i>Scientific Reports</i>
DOI: 10.6084/m9.figshare.24587298
title: Radical Ecological Democracy- Transcribed (Qualitative Dataset)

description: A transcript which aim to elaborate radical ecological democracy.
DOI: 10.6084/m9.figshare.24587298.v1
title: Radical Ecological Democracy- Transcribed (Qualitative Dataset)

description: A transcript which aim to elaborate radical ecological democracy.
DOI: 10.5281/zenodo.10155675
title: Different adaptation error types in affective computing have different effects on user experience: a Wizard-of-Oz study

description: The record consists of one Excel file that contains individual participant data for the study "Different adaptation error types in affective computing have different effects on user experience: a Wizard-of-Oz study". The study included 97 participants who were randomly divided into five groups corresponding to five adaptation behaviors (SingleSmall, SingleModerate, ImmediateLow, ImmediateHigh, IrreversibleHigh). Each participant took part in three 11-minute intervals. Difficulty changed every 60 seconds in each 11-minute interval, and there are thus 11 difficulty values per interval. At the end of each interval, participants self-reported their experience using the NASA Task Load Index (6 items) and Intrinsic Motivation Inventory (8 items). After the third interval, participants were asked to rate how much they liked the 3 intervals on a visual analog scale that was converted to 1-100 numerical scores.
DOI: 10.5281/zenodo.10155676
title: Different adaptation error types in affective computing have different effects on user experience: a Wizard-of-Oz study

description: The record consists of one Excel file that contains individual participant data for the study "Different adaptation error types in affective computing have different effects on user experience: a Wizard-of-Oz study". The study included 97 participants who were randomly divided into five groups corresponding to five adaptation behaviors (SingleSmall, SingleModerate, ImmediateLow, ImmediateHigh, IrreversibleHigh). Each participant took part in three 11-minute intervals. Difficulty changed every 60 seconds in each 11-minute interval, and there are thus 11 difficulty values per interval. At the end of each interval, participants self-reported their experience using the NASA Task Load Index (6 items) and Intrinsic Motivation Inventory (8 items). After the third interval, participants were asked to rate how much they liked the 3 intervals on a visual analog scale that was converted to 1-100 numerical scores.
DOI: 10.5281/zenodo.8045226
title: Stable oxygen and hydrogen isotope values for rain and snow collected near Fairbanks, Alaska

description: Stable oxygen and hydrogen isotope values for rain and snow collected near Fairbanks, Alaska Please contact me for more information or to use the data. thomas.a.douglas@usace.army.mil
DOI: 10.5281/zenodo.10155689
title: Stable oxygen and hydrogen isotope values for permafrost ice, rain, and snow collected near Fairbanks, Alaska and a summary of all age dates from the CRREL Permafrost Tunnel

description: Stable oxygen and hydrogen isotope values for permafrost ice, rain, and snow collected near Fairbanks, Alaska as well as a summary of all age dates from the CRREL Permafrost Tunnel
Please contact me for more information or to use the data.
thomas.a.douglas@usace.army.mil
DOI: 10.5281/zenodo.8045225
title: Stable oxygen and hydrogen isotope values for permafrost ice, rain, and snow collected near Fairbanks, Alaska and a summary of all age dates from the CRREL Permafrost Tunnel

description: Stable oxygen and hydrogen isotope values for permafrost ice, rain, and snow collected near Fairbanks, Alaska as well as a summary of all age dates from the CRREL Permafrost Tunnel
Please contact me for more information or to use the data.
thomas.a.douglas@usace.army.mil
DOI: 10.34740/kaggle/dsv/6998817
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.34740/kaggle/dsv/6998821
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.6084/m9.figshare.22260316
title: Table A-3 Summary of Nutrient Functions in HSD and EDS

description: An anti-inflammatory Mediterranean-style diet may provide some support for the chronic pain that is associated with HSD and EDS. Table A-3 introduces some of the nutrients that are found in an anti-inflammatory Mediterranean-style diet that may have importance for mitigating symptoms associated with the conditions.
DOI: 10.6084/m9.figshare.22260316.v2
title: Table A-3 Summary of Nutrient Functions in HSD and EDS

description: An anti-inflammatory Mediterranean-style diet may provide some support for the chronic pain that is associated with HSD and EDS. Table A-3 introduces some of the nutrients that are found in an anti-inflammatory Mediterranean-style diet that may have importance for mitigating symptoms associated with the conditions.
DOI: 10.34740/kaggle/dsv/6998838
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.34740/kaggle/dsv/6998864
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.5281/zenodo.10155687
title: SubChrom database files

description: Database files required for running SubChrom (https://github.com/MullighanLab/SubChrom), download the hg19 and/or hg38 version as needed.
DOI: 10.5281/zenodo.10155688
title: SubChrom database files

description: Database files required for running SubChrom (https://github.com/MullighanLab/SubChrom), download the hg19 and/or hg38 version as needed.
DOI: 10.34740/kaggle/dsv/6999094
title: BBC News
DOI: 10.34740/kaggle/dsv/6999095
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.10155758
title: DAWN

description: The Drug Abuse Warning Network (DAWN) is a national health surveillance system that records drug use contributing to hospital emergency department visits throughout the United States. Hyperedges in this dataset are the drugs used by a patient (as reported by the patient) in an emergency department visit. The drugs include illicit substances, prescription and over-the-counter medication, and dietary supplements. Timestamps of visits (under the `timestamp` attribute of the hyperedges) are recorded at the resolution of quarter-years, spanning a total duration of 8 years (2004 to 2011). The names of the drugs are encoded in the `name` attribute of the nodes.
This is a temporal hypergraph dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. Timestamps are in ISO8601 format. In the original dataset, the same drug substance can have more than one NDC code. For example, different dosages of the same drug may result in multiple NDC codes.
If you use this dataset, please cite "Simplicial closure and higher-order link prediction", Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.
DOI: 10.5281/zenodo.10155759
title: DAWN

description: The Drug Abuse Warning Network (DAWN) is a national health surveillance system that records drug use contributing to hospital emergency department visits throughout the United States. Hyperedges in this dataset are the drugs used by a patient (as reported by the patient) in an emergency department visit. The drugs include illicit substances, prescription and over-the-counter medication, and dietary supplements. Timestamps of visits (under the `timestamp` attribute of the hyperedges) are recorded at the resolution of quarter-years, spanning a total duration of 8 years (2004 to 2011). The names of the drugs are encoded in the `name` attribute of the nodes.
This is a temporal hypergraph dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. Timestamps are in ISO8601 format. In the original dataset, the same drug substance can have more than one NDC code. For example, different dosages of the same drug may result in multiple NDC codes.
If you use this dataset, please cite "Simplicial closure and higher-order link prediction", Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.
DOI: 10.5522/04/22940153.v1
title: Primary human Hepatic Stellate Cells and PNPLA3 I148M

description: A) RNA sequencing was performed on 2D-cultured primary human Hepatic Stellate Cells (HSC) genotyped for the <em>PNPLA3</em> I148M variant. B) RNA sequencing from liver biopsies of genotyped PNPLA3 patients, previously published (http:// dx. doi. org/ 10. 1136/gutjnl- 2019- 319226). C) Comparison of both datasets of A and B. D) Cell behaviour was evaluated in HSCs wild type (WT) or carrying I148M <em>PNPLA3</em> cultured on 3D extracellular matrix (ECM) scaffolds from human healthy and cirrhotic liver with/without TGFB1 and NanoString was employed. All datasets are available in Excel files.
DOI: 10.5522/04/22940153
title: Primary human Hepatic Stellate Cells and PNPLA3 I148M

description: A) RNA sequencing was performed on 2D-cultured primary human Hepatic Stellate Cells (HSC) genotyped for the <em>PNPLA3</em> I148M variant. B) RNA sequencing from liver biopsies of genotyped PNPLA3 patients, previously published (http:// dx. doi. org/ 10. 1136/gutjnl- 2019- 319226). C) Comparison of both datasets of A and B. D) Cell behaviour was evaluated in HSCs wild type (WT) or carrying I148M <em>PNPLA3</em> cultured on 3D extracellular matrix (ECM) scaffolds from human healthy and cirrhotic liver with/without TGFB1 and NanoString was employed. All datasets are available in Excel files.
DOI: 10.34740/kaggle/dsv/6999167
title: arXiv Dataset
DOI: 10.6084/m9.figshare.24428302
title: AD dataset

description: A processed dataset of Alzheimer's disease.
DOI: 10.21227/s0k1-4d10
title: Short Block-length Channel Coded Modulation with Random Linear Codes and QAOA Decoding

description: The data repository includes simulation parameters and results for the Quantum Approximate Optimization Algorithm (QAOA) channel decoding applied to short block-lengths in Additive White Gaussian Noise (AWGN) channels. This research utilizes a Random Linear Codebook (RLC) in a Coded Modulation (CM) design at the encoder. Extensive simulations were conducted using IBM Quantum Lab and the ibmq_qasm_simulator back-end provided by IBM Quantum, simulating quantum circuits on classical hardware. A total of 532000 QAOA circuits were simulated, varying coding rate R = k /n, message length k, QAOA layer depth p, and Signal-to-Noise Ratio (SNR). The README.pdf file summarizes the theoretical model used in the simulations and provides a detailed description of the repository's contents. The gamma_matrix.csv and beta_matrix.csv files contain optimized angle parameters for the QAOA decoder circuits. Results, including cost values and bit error rates for specific problem instances, are found in the QAOA_data.csv and ML_data.csv files. For a comprehensive understanding, please refer to the main article titled 'Short Block-length Channel Coded Modulation with Random Linear Codes and QAOA Decoding'.
DOI: 10.5281/zenodo.10155778
title: DAWN

description: Overview
The Drug Abuse Warning Network (DAWN) is a national health surveillance system that records drug use contributing to hospital emergency department visits throughout the United States. Hyperedges in this dataset are the drugs used by a patient (as reported by the patient) in an emergency department visit. The drugs include illicit substances, prescription and over-the-counter medication, and dietary supplements. Timestamps of visits (under the `timestamp` attribute of the hyperedges) are recorded at the resolution of quarter-years, spanning a total duration of 8 years (2004 to 2011). The names of the drugs are encoded in the `name` attribute of the nodes.
This is a temporal hypergraph dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. Timestamps are in ISO8601 format. In the original dataset, the same drug substance can have more than one NDC code. For example, different dosages of the same drug may result in multiple NDC codes. 
Statistics
Some basic statistics of this dataset are:
Number of nodes: 2,558
Number of timestamped hyperedges: 2,272,433
Distribution of the connected components:
Component size, number

2290, 1
1, 68
Source of original data
Sources:
* DAWN dataset
References
If you use this dataset, please cite these references:

Simplicial closure and higher-order link prediction, Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.
DOI: 10.5281/zenodo.10155779
title: DAWN

description: Overview
The Drug Abuse Warning Network (DAWN) is a national health surveillance system that records drug use contributing to hospital emergency department visits throughout the United States. Hyperedges in this dataset are the drugs used by a patient (as reported by the patient) in an emergency department visit. The drugs include illicit substances, prescription and over-the-counter medication, and dietary supplements. Timestamps of visits (under the `timestamp` attribute of the hyperedges) are recorded at the resolution of quarter-years, spanning a total duration of 8 years (2004 to 2011). The names of the drugs are encoded in the `name` attribute of the nodes.
This is a temporal hypergraph dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. Timestamps are in ISO8601 format. In the original dataset, the same drug substance can have more than one NDC code. For example, different dosages of the same drug may result in multiple NDC codes. 
Statistics
Some basic statistics of this dataset are:
Number of nodes: 2,558
Number of timestamped hyperedges: 2,272,433
Distribution of the connected components:
Component size, number

2290, 1
1, 68
Source of original data
Sources:
* DAWN dataset
References
If you use this dataset, please cite these references:

Simplicial closure and higher-order link prediction, Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.
DOI: 10.5281/zenodo.10155771
title: NDC-classes

description: Overview
This dataset consists of the pharmaceutical classes used to classify drugs in the National Drug Code Directory maintained by the Food and Drug Administration between 1946 and 2017. The original data was downloaded from the FDA.
This is a temporal hypergraph dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. Timestamps are in ISO8601 format. In the original dataset, the same drug substance can have more than one NDC code. For example, different dosages of the same drug may result in multiple NDC codes. 
Statistics
Some basic statistics of this dataset are:

Number of nodes: 1,161
Number of timestamped hyperedges: 49,726
distribution of the connected components:
Component Size, Number

628, 1
60, 1
26, 1
18, 1
8, 2
7, 3
6, 2
5, 2
4, 11
3, 20
2, 127
1, 12
Source of original data
Sources:

NDC-classes dataset
FDA
References
If you use this dataset, please cite these references:

Simplicial closure and higher-order link prediction, Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.
DOI: 10.5281/zenodo.10155772
title: NDC-classes

description: Overview
This dataset consists of the pharmaceutical classes used to classify drugs in the National Drug Code Directory maintained by the Food and Drug Administration between 1946 and 2017. The original data was downloaded from the FDA.
This is a temporal hypergraph dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. Timestamps are in ISO8601 format. In the original dataset, the same drug substance can have more than one NDC code. For example, different dosages of the same drug may result in multiple NDC codes. 
Statistics
Some basic statistics of this dataset are:

Number of nodes: 1,161
Number of timestamped hyperedges: 49,726
distribution of the connected components:
Component Size, Number

628, 1
60, 1
26, 1
18, 1
8, 2
7, 3
6, 2
5, 2
4, 11
3, 20
2, 127
1, 12
Source of original data
Sources:

NDC-classes dataset
FDA
References
If you use this dataset, please cite these references:

Simplicial closure and higher-order link prediction, Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.
DOI: 10.34740/kaggle/ds/4023539
title: 🏆Uber, FB, Waze, etc US Apple App Store Reviews
DOI: 10.6084/m9.figshare.24587364
title: PTB dataset

description: A processed dataset of Myocardial infarction.
DOI: 10.34740/kaggle/dsv/6999278
title: WallStreetBets 2022
DOI: 10.5281/zenodo.8395851
title: Reproduction dataset for EcoScape analysis

description: This dataset facilitates the reproduction of the initial paper on EcoScape.
DOI: 10.5281/zenodo.10155746
title: Reproduction dataset for EcoScape analysis

description: This dataset facilitates the reproduction of the initial paper on EcoScape.
This is a second version of the dataset, which supersedes the previous one.  The results can be reproduced with both versions of the data.  This second version includes the data obtained after running all steps for paper reproduction.
DOI: 10.5281/zenodo.10155790
title: Reproduction dataset for EcoScape analysis

description: This dataset facilitates the reproduction of the initial paper on EcoScape.
In this version of the dataset, we have included also the Omniscape input and output, to facilitate the reproduction of the comparison.
DOI: 10.5281/zenodo.8395850
title: Reproduction dataset for EcoScape analysis

description: This dataset facilitates the reproduction of the initial paper on EcoScape.
In this version of the dataset, we have included also the Omniscape input and output, to facilitate the reproduction of the comparison.
DOI: 10.3886/e175582v1-143144
title: Data and Code for: Social Media and Mental Health

description: The diffusion of social media coincided with a worsening of mental health conditions among adolescents and young adults in the United States, giving rise to speculation that social media might be detrimental to mental health. In this paper, we provide quasi-experimental estimates of the impact of social media on mental health by leveraging a unique natural experiment: the staggered introduction of Facebook across U.S. colleges. Our analysis couples data on student mental health around the years of Facebook's expansion with a generalized difference-in-differences empirical strategy. We find that the roll-out of Facebook at a college increased symptoms of poor mental health, especially depression. We also find that, among students predicted to be most susceptible to mental illness, the introduction of Facebook led to increased utilization of mental healthcare services. Lastly, we find that, after the introduction of Facebook, students were more likely to report experiencing impairments to academic performance resulting from poor mental health. Additional evidence on mechanisms suggests that the results are due to Facebook fostering unfavorable social comparisons.
DOI: 10.6084/m9.figshare.24586371
title: Microarray profile of HaCaT cells

description: miRVana, miR-1290 mimic, and control (Thermo Fisher Scientific) were transfected into HaCaT cells in using Lipofectamine RNAiMAX (Invitrogen, Carlsbad, CA, USA). Each RNA sample was assessed using a microarray (SurePrint G3 Human Gene Expression 8 × 60 K Microarray; Agilent Technologies, Palo Alto, CA, USA), and the expression profiles were analyzed using GeneSpring software (v12; Agilent Technologies).