cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18130/v3/36hfkh
title: Documentation and Metadata

description: Data Documentation and Metadata session from the 2015 Virginia Data Management Bootcamp. Introduces non-structural (data dictionaries, read me files, code books) and structured ways (XML schemas) to document research data.
description: Originally Published 2015-05-21 in Harvard's Dataverse as https://doi.org/10.7910/DVN/8KN41O
DOI: 10.18130/v3/gxou0t
title: OCO-2 XCO2 Seasonal and Sub-seasonal Variability Characterization (v10, 2014-2019)

description: This dataset contains the results of a variability analysis of NASA's Orbiting Carbon Observatory-2 (OCO-2) v10 Level 2 XCO2 in 360 5x5 degree bins across North America and adjacent Ocean collected from 9-2014 to 12-2019. Data was processed using Matlab R2021a. Average magnitudes of seasonal variability, synoptic-scale variability, and mesoscale/finer variability as well as along-track statistics are provided for each bin. These data can be used to produce maps, compare scales of variability, and assess spatial XCO2 patterns.
DOI: 10.18130/v3/6rubpv
title: Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests
title: Imputing Industry and Occupational Codes Over Time

description: Contains crosswalks, forests generated using them, test results and full prediction outputs.
description: R
description: Models were built on data from the CPS monthly survey [1].
DOI: 10.18130/v3/xi7qgf
title: Lattice Parameters and CTE Tensor Components of Rare Earth Disilicates

description: This dataset contains analyzed X-Ray diffraction data collected at Argonne National Lab's Advanced Photon Source Beamline 11-ID-C. High temperature diffraction measurements from room temperature to 1000 degrees Celsius were sequentially refined using GSAS-II. The lattice parameters included in the datasets were derived from the refined fits, and the parameters were used to calculate thermal expansion second-rank tensor components with the CTEAS program.
DOI: 10.18130/v3/wxmjlr
title: Fralin - Skyphos

description: Fralin 3D ; Laser scan data of greek vase from the Fralin Museum - Skyphos ; Creaform Zscanner 700 CX ; 3D mesh data
description: Fralin 3D ; This item was scanned for UVA Archaeology professor Tyler Jo Smith at the Fralin Museum at UVA for the 3DGV Project - 3D Greek Vases
DOI: 10.18130/v3/cau1ww
title: Fralin - Oinochoe

description: Fralin 3D ; Laser scan data of greek vase from the Fralin Museum - oinochoe ; Creaform Zscanner 700 CX ; 3D mesh data
description: Fralin 3D ; This item was scanned for UVA Archaeology professor Tyler Jo Smith at the Fralin Museum at UVA for the 3DGV Project - 3D Greek Vases - accession # 1973.71
DOI: 10.18130/v3/d7zoo7
title: Fralin - Squat Lekythos

description: Fralin 3D ; Laser scan data of greek vase from the Fralin Museum - Squat Lekythos, South Italy ; Creaform Zscanner 700 CX ; 3D mesh data
description: Fralin 3D ; This item was scanned for UVA Archaeology professor Tyler Jo Smith at the Fralin Museum at UVA for the 3DGV Project - 3D Greek Vases; Squat Lekythos, South Italy, accession # 0.636_20170928
DOI: 10.18130/v3/w0wult
title: Fralin - Fish Plate

description: Fralin 3D ; Laser scan data of greek vase from the Fralin Museum - Fish Plate; Creaform Zscanner 700 CX ; 3D mesh data
description: Fralin 3D ; This item was scanned for UVA Archaeology professor Tyler Jo Smith at the Fralin Museum at UVA for the 3DGV Project - 3D Greek Vases; Fish Plate, South Italy;
DOI: 10.18130/v3/tzmlkk
title: Fralin - Euboean Hydria

description: Fralin 3D ; Laser scan data of greek vase from the Fralin Museum - Euboean Hydria; Creaform Zscanner 700 CX ; 3D mesh data
description: Fralin 3D ; This item was scanned for UVA Archaeology professor Tyler Jo Smith at the Fralin Museum at UVA for the 3DGV Project - 3D Greek Vases; Euboean Hydria;
DOI: 10.18130/v3/ak74kn
title: St John Rosenwald School - 3D Data

description: This is the 3D documentation data for the St John Rosenwald School, Cobham, Albemarle County, Virginia; building construction date 1922; The data was collected by students of ARH5600 : 3D Cultural Heritage Informatics, Spring 2022; data collected with FARO Focus 3D lasers scanners - (1) S120, (2) X130; project in collaboration with former Facilities Management Architectural History Projects Director, Jody Lahendron and the Cobham Community in an effort to preserve the building and community culture; for more information regarding the preservation of this school building please visit the community website at &lt;a href="https://www.stjohnfamilylife.org/history.html" target="_blank"&gt;https://www.stjohnfamilylife.org/history.html&lt;/a&gt;
&lt;p&gt;
 LINKS TO DATASETS ARE FORTHCOMING - contact &lt;a href="mailto:will@virginia.edu"&gt;Will Rourk&lt;/a&gt; for more information at will@virginia.edu.
&lt;/p&gt;
&lt;p&gt;Please credit the University of Virginia Library upon use of this data&lt;/p&gt;
DOI: 10.18130/v3/lmlxkq
title: Sunnyside House - 3D Data

description: &lt;p&gt;
This is the 3D documentation data for the Sunnyside/Duke Tract House, Charlottesville, Virginia; original structure founding date ca. 1780s; The data was collected (2022-03-04, 2022-03-11) and processed by students of ARH5600 : 3D Cultural Heritage Informatics, Spring 2022; data collected with FARO Focus 3D lasers scanners - (1) S120, (2) X130; data processed with FARO Scene v. 2021;
&lt;/p&gt;
&lt;p&gt;
 LINKS TO DATASETS ARE FORTHCOMING - contact &lt;a href="mailto:will@virginia.edu"&gt;Will Rourk&lt;/a&gt; for more information at will@virginia.edu.
&lt;/p&gt;
&lt;p&gt;Please credit the University of Virginia Library upon use of this data&lt;/p&gt;
DOI: 10.18130/v3/e0egoc
title: Numerical model and geospatial data for fan-shaped deposits at Hypanis Valles, Mars

description: Numerical model code and output, and geospatial data files related to fan-shaped sedimentary deposits at Hypanis Valles, Mars
DOI: 10.18130/v3/skiyjp
title: Bremo Colonoware Pot 3D Data

description: 3D data for Colonoware pot from Upper Bremo Plantation;this artifact is owned and managed by the Fluvanna Historical Society; data acquired with Creaform GoScan Spark structured light 3D scanner;
&lt;br&gt;
Files for 3D models generated from the 3D data are below.
&lt;br&gt;
Please reference the University of Virginia Library when using this content.
DOI: 10.18130/v3/xl3cua
title: Replication Data for: "Privatization of Public Goods: Evidence from the Sanitation Sector in Senegal"

description: Replication data and code for the JDE paper "Privatization of Public Goods: Evidence from the Sanitation Sector in Senegal." DHS replication code is included, but DHS data must be downloaded directly from the DHS website. Run the replication_share.do file, which calls the necessary do files.
DOI: 10.18130/v3/jnphub
title: Dashboard for Clinical Outcome Reference Values in Adolescent Patients 5-7 months after ACL Reconstruction

description: We created an interactive dashboard that allows a clinician or researcher to easily compare their patient’s or research participants patient-reported, physical function, or strength data to the age-, sex-, and graft-specific reference values published by Kuenze et al. 

Instructions:
The user can enter the sex, age, and graft source of their patient as well as the patient’s data for any or all the patient-reported, physical function, or strength measures included in this study into to corresponding boxes which are outlined in red. After doing so, the values in the “Overall”, “Sex”, “Age”, Age/Sex”, and "Graft" columns will automatically update to reflect the decile in which the patient falls for the overall sample, the sample of patients of the same sex or age group, and the sample of patients in their sex and age group. 

Reference Value Tables:
We have also included detailed descriptive information for each patient-reported, physical function, or strength measure within the overall sample (Tab 2) and separated by biologic sex (Tab 3), age group (Tab 4), biologic sex in each age group (Tab 5), and graft source (Tab 6).
DOI: 10.18130/v3/hgaqb3
title: ACL Reasons Questionnaire

description: The Qualtrics and paper version of the ACL Reasons questionnaire
DOI: 10.18130/v3/zpgvk5
title: Published Documents

description: All documents and the associated metadata that have been published by the project so far, primarily as early access records. Early Access documents are first versions. They are raw transcriptions that have been proofread once and published, with the goal offering public access as soon as possible to Julian Bond's voluminous works. Early Access documents may contain errors. Over time, the editors will verify all transcriptions, add annotations, and replace Early Access versions with final versions collected in one complete Julian Bond Papers Digital Edition. Our staff is indebted to the many other projects who have established the Early Access process, including Founders Online and the Jane Addams Papers.
description: Drupal, 9
DOI: 10.18130/v3/g1nw7f
title: CAESAR: An Embodied Simulator for Generating Multimodal Referring Expression Datasets

description: Humans naturally use verbal utterances and nonverbal gestures to refer to various objects (known as referring expressions) in different interactional scenarios. As collecting real human interaction datasets are costly and laborious, synthetic datasets are often used to train models to unambiguously detect relationships among objects. However, existing synthetic data generation tools that provide referring expressions generally neglect nonverbal gestures. Additionally, while a few small-scale datasets contain multimodal cues (verbal and nonverbal), these datasets only capture the nonverbal gestures from an exo-centric perspective (observer). As models can use complementary information from multimodal cues to recognize referring expressions, generating multimodal data from multiple views can help to develop robust models. To address these critical issues, in this paper, we present a novel embodied simulator, CAESAR, to generate multimodal referring expressions containing both verbal utterances and nonverbal cues captured from multiple views. Using our simulator, we have generated two large-scale embodied referring expression datasets, which we will release publicly. We have conducted experimental analyses on embodied spatial relation grounding using various state-of-the-art baseline models. Our experimental results suggest that visual perspective affects the models' performance; and that nonverbal cues improve spatial relation grounding accuracy. Finally, we will release the simulator publicly to allow researchers to generate new embodied interaction datasets.
DOI: 10.18130/v3/bwsrsl
title: Raised Port, Inner Diameter Test Files from Musgrove et al, "Threadless chip-to-world connections on resin 3D printed microscale devices"

description: Design files for 3D printed raised ports with varying inner diameters that can be printed and used to determine dimensions for a tubing-to-3D printed chip connection. The file can also be edited once downloaded to be integrated into existing 3D print designs.
description: Design files for 3D printed raised ports with varying inner diameters that can be printed and used to determine dimensions for a tubing-to-3D printed chip connection. The file can also be edited once downloaded to be integrated into existing 3D print designs.
DOI: 10.18130/v3/jgoc2p
title: Datasets used in: Fern family clade age and fungal pathogen diversity.

description: These are the datasets I used in the analyses for Antonovics, J. “Fern family clade age and fungal pathogen diversity” pubished in American Fern Journal 113(3), 137-169, 29 September 2023, https://doi.org/10.1640/0002-8444-113.3.137. See the original paper for further details of how these datasets were processed and on for web sources (GBIF, Kew) as well as dates of accession of these.
DOI: 10.18130/v3/ouxnot
title: Supplementary Tables for Detection of heterogeneous copy number variation reveals the dynamics of adaptation in malaria parasites

description: Supplementary Tables for Detection of heterogeneous copy number variation reveals the dynamics of adaptation in malaria parasites
DOI: 10.18130/v3/mjyrg7
title: Memorial Gym West Pilaster Capital

description: This 3D dataset is for the northwest engaged pilaster capital of Memorial Gym, University of Virginia, Charlottesville, Va;
description: The 3D data was acquired with a FARO Focus 3D X130 laser scanner on 2022-10-24; data was processed with FARO Scene v.2022, Geomagic DX 2022;
DOI: 10.18130/v3/vjuzsh
title: Household-level disaggregated hourly synthetic residential energy use profiles for the United States

description: Efficient energy consumption is crucial for achieving sustainable energy goals in the era of climate change and grid modernization. Thus, it is vital to understand how energy is consumed at finer resolutions such as households in order to plan demand-response events or analyze the impacts of weather, electricity prices, electric vehicles, solar, and occupancy schedules on energy consumption. However, availability and access to detailed energy-use data, enabling detailed studies, has been rare. In this paper, we release a unique, large-scale, digital twin of the residential energy-use dataset for the residential sector across the contiguous United States covering millions of households. 
The data comprise hourly energy use profiles for synthetic households, disaggregated into Thermostatically Controlled Loads (TCL) and appliance use. This dataset releases data for millions of synthetic U.S. households for 2014. The total data is approximately 30TB.
DOI: 10.5281/zenodo.15072691
title: Dataset for Wave-Turbulence Decomposition (EEMD, iSWT, PH, VMD, SWT, Gerbi)

description: # Dataset for Wave-Turbulence Decomposition (EEMD, iSWT, PH, VMD, SWT, Gerbi)

 

This dataset contains 3 dimentional velocity data and wave-turbulence decomposition results for evaluating different decomposition methods in aquatic environments. The dataset is primarily used to estimate turbulence dissipation rate (`ε`) based on filtered velocity signals.

 

---

 

## Data Structure Overview

 

The data is organized into the following components:

 

### Data_1.zip

Contains full results for **five decomposition methods**:

- `data_SWT` ← Synchrosqueezed Wavelet Transform

- `data_EEMD` ← Ensemble Empirical Mode Decomposition

- `data_PH` ← Phase-based Method

- `data_VMD` ← Variational Mode Decomposition

- `data_Gerbi` ← Traditional Gerbi method

 

Each folder includes:

- Reconstructed vertical velocity (`w_t`) signals

- Power spectral density and slopes

- Estimated dissipation rate `ε`

- All data saved in `.mat` format (compatible with MATLAB 2019b)

 

---

 

### Data_2_01.zip to Data_2_16.zip

These 16 zip files (each ~3GB) contain **iSWT (Improved Synchrosqueezed Wavelet Transform)** results.

Due to file size limitations, the dataset is split into volumes.

 

Each archive includes:

- Denoised velocity signals across quantile-based thresholds

- Stepwise-reconstructed `w_t` time series

- Corresponding turbulence dissipation rate `ε` estimates

- Stored as `.mat` files

 

---

 

### Code/ (scripts for processing)

 

This folder contains all MATLAB scripts used for turbulence estimation based on each decomposition method:

 

```matlab

main_SWT.m

main_EEMD.m

main_PH.m

main_VMD.m

main_Gerbi.m

main_iSWT.m

```

 

The from_outside_please_cite_correctly folder contains external code downloaded from publicly available sources. Please refer to the code comments for proper citation.

 

Each function is structured for batch processing and spectral fitting (e.g., Kolmogorov -5/3 slope detection).

 

---

 

## Download Link (Google Drive)

 

**Access full dataset here**: https://drive.google.com/drive/folders/1aRfRlwBTSqQRmqmo6lp3E_8xCXlDNIUd?usp=sharing

 

 

> All files are publicly shared. If you encounter issues, please contact the author below.

 

 

 

---

 

## License

 

This dataset is shared under the [**Creative Commons Attribution 4.0 (CC BY 4.0)**](https://creativecommons.org/licenses/by/4.0/) license.

You may use, modify, and distribute this data with appropriate citation.

 

---

 

## Citation

 

If you use this dataset in your research, please cite it as:

 

```

[Xingxing Zhao]. (2025). Dataset for Wave-Turbulence Decomposition (EEMD, iSWT, PH, VMD, SWT, Gerbi). Zenodo. 10.5281/zenodo.15072692

```

 

 

 

---

 

## Contact

 

- **Author**: Xingxing Zhao

- **Affiliation**: China Three Gorges University

- **Email**: zhao_xingx@163.com
DOI: 10.5281/zenodo.15072692
title: Dataset for Wave-Turbulence Decomposition (EEMD, iSWT, PH, VMD, SWT, Gerbi)

description: # Dataset for Wave-Turbulence Decomposition (EEMD, iSWT, PH, VMD, SWT, Gerbi)

 

This dataset contains 3 dimentional velocity data and wave-turbulence decomposition results for evaluating different decomposition methods in aquatic environments. The dataset is primarily used to estimate turbulence dissipation rate (`ε`) based on filtered velocity signals.

 

---

 

## Data Structure Overview

 

The data is organized into the following components:

 

### Data_1.zip

Contains full results for **five decomposition methods**:

- `data_SWT` ← Synchrosqueezed Wavelet Transform

- `data_EEMD` ← Ensemble Empirical Mode Decomposition

- `data_PH` ← Phase-based Method

- `data_VMD` ← Variational Mode Decomposition

- `data_Gerbi` ← Traditional Gerbi method

 

Each folder includes:

- Reconstructed vertical velocity (`w_t`) signals

- Power spectral density and slopes

- Estimated dissipation rate `ε`

- All data saved in `.mat` format (compatible with MATLAB 2019b)

 

---

 

### Data_2_01.zip to Data_2_16.zip

These 16 zip files (each ~3GB) contain **iSWT (Improved Synchrosqueezed Wavelet Transform)** results.

Due to file size limitations, the dataset is split into volumes.

 

Each archive includes:

- Denoised velocity signals across quantile-based thresholds

- Stepwise-reconstructed `w_t` time series

- Corresponding turbulence dissipation rate `ε` estimates

- Stored as `.mat` files

 

---

 

### Code/ (scripts for processing)

 

This folder contains all MATLAB scripts used for turbulence estimation based on each decomposition method:

 

```matlab

main_SWT.m

main_EEMD.m

main_PH.m

main_VMD.m

main_Gerbi.m

main_iSWT.m

```

 

The from_outside_please_cite_correctly folder contains external code downloaded from publicly available sources. Please refer to the code comments for proper citation.

 

Each function is structured for batch processing and spectral fitting (e.g., Kolmogorov -5/3 slope detection).

 

---

 

## Download Link (Google Drive)

 

**Access full dataset here**: https://drive.google.com/drive/folders/1aRfRlwBTSqQRmqmo6lp3E_8xCXlDNIUd?usp=sharing

 

 

> All files are publicly shared. If you encounter issues, please contact the author below.

 

 

 

---

 

## License

 

This dataset is shared under the [**Creative Commons Attribution 4.0 (CC BY 4.0)**](https://creativecommons.org/licenses/by/4.0/) license.

You may use, modify, and distribute this data with appropriate citation.

 

---

 

## Citation

 

If you use this dataset in your research, please cite it as:

 

```

[Xingxing Zhao]. (2025). Dataset for Wave-Turbulence Decomposition (EEMD, iSWT, PH, VMD, SWT, Gerbi). Zenodo. 10.5281/zenodo.15072692

```

 

 

 

---

 

## Contact

 

- **Author**: Xingxing Zhao

- **Affiliation**: China Three Gorges University

- **Email**: zhao_xingx@163.com
DOI: 10.18130/v3/r9me30
title: Bubble Trap Print Files from Musgrove et al. "A scalable, modular degasser for passive in-line removal of bubbles from biomicrofluidic devices"

description: This data set contains design files for 3D printing bubble traps described in "A scalable, modular degasser for passive in-line removal of bubbles from biomicrofluidic devices". https://doi.org/10.3390/mi14020435 
There are versions for both FDM and resin polymerization printing and the files can edited once downloaded to be fitted with varying tubing connections as needed.
description: Autodesk Fusion 360, v2.0.14567
description: This data set contains design files for 3D printing bubble traps described in "A scalable, modular degasser for passive in-line removal of bubbles from biomicrofluidic devices". There are versions for both FDM and resin polymerization printing and the files can edited once downloaded to be fitted with varying tubing connections as needed.
DOI: 10.18130/v3/yotflm
title: USPTO PatentsView Data

description: This is raw data downloaded from USPTO (US Patent and Trademark Office) PatentsView (https://patentsview.org/download/data-download-tables) on 8/17/22.
&lt;br&gt; &lt;br&gt;
Last updated date from PatentsView: 
&lt;br&gt;
 - all datasets except inventor: 3/29/22
&lt;br&gt; 
- inventor data set: 5/22/22
DOI: 10.18130/v3/anucwy
title: :unav

description: :unav
DOI: 10.18130/v3/jdrilp
title: Fraction Orange

description: The Fraction Orange is a sphere partitioned into two hemispheres; one hemisphere is further partitioned into fourths, eighths, and sixteenths of the whole; the other hemisphere is further partitioned into sixths and eighteenths.
description: The Fraction Orange manipulative is a particularly useful tool for exploring the measurement meaning of division. It’s also useful for teaching fractions through multiple representations, like drawings of partitioned wholes and symbols of the form.
DOI: 10.18130/v3/zog1ff
title: Synthetic Data To Support US-UK Prize Challenge For Developing Privacy Enhancing Methods: Predicting Individual Infection Risk During A Pandemic

description: Synthetic population and synthetic outbreak data for Virginia and GBR.
DOI: 10.18130/v3/yiyba4
title: Emmet Street Railroad Overpass

description: 3D dataset documentation of the underside of the Southern Railway overpass on Emmett Street, Charlottesville, Va, within the grounds of the University of Virginia; this was in connection with VDOT and Facilities Management and was an assigned fieldwork task for ARH5600 : 3D Cultural Heritage Informatics, Fall 2022; student assistants include Junyi Wu and Kelly O'Meara, both graduate students with UVA Architecture; scanned with FARO Focus 3D laser scanners and processed with FARO Scene v.2022;
description: to use this data download FARO Scene LT for free at https://knowledge.faro.com/Software/FARO_SCENE/SCENE/Software_Download_Installation_and_Release_Notes_for_SCENE_LT