cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17457290
title: Mixed-layer Deepening and Internal Wave Generation under Sea Ice in Free Drift Simulation Data

description: The simulation data used in the Journal of Physical Oceanography Publication: "Mixed-layer Deepening and Internal Wave Generation under Sea Ice in Free Drift". This simulation data was produced using the code found here. Note that we exclude internal wave data since it was too large to include. 

The NetCDF files without "IW" in their name consist of the following:



The coordinate arrays (x, y, z) including time

S_mean: The horizontally averaged salinity profile 

u_ice_x and u_ice_y: Sea ice velocity components

U, V, and W: The horizontally averaged velocities

uw_reynolds and vw_reynolds: The x and y Reynolds stresses

u_surf and v_surf: The surface horizontal velocity fields

TKE: The horizontally averaged turbulent kinetic energy profile

Qu and Qv: The horizontal momentum fluxes supplied from the sea ice model onto the ocean model

pressure_transport: The pressure transport term in the turbulent kinetic energy equation

P_s: The shear production profile 

IW_flux: The vertical internal wave energy flux <wp>/rho_0

h_ice: Sea ice thickness timeseries

B_prod: Vertical profile of the buoyancy flux

TKE_adv: Horizontally averaged turbulent kinetic energy advection

turbulent_transport: The turbulent transport term from the turbulent kinetic energy equation


For how these terms were exactly computed, please refer to the simulation code. 

We also link (here) to another NetCDF file containing an x-z slice evaluated in the middle of the y domain and recorded at a higher frequency (~every 1min) for internal wave analysis. This file contains salinity and velocity fields only. This data was used to create figure 4 and 7 in the publication.
DOI: 10.5517/ccdc.csd.cc12s02y
title: CCDC 1006169: Experimental Crystal Structure Determination

description: Related Article: Uttam R. Pokharel, Frank R. Fronczek, Andrew W. Maverick|2025|Dalton Trans.|55|1259|doi:10.1039/d5dt02551f
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc12s03z
title: CCDC 1006170: Experimental Crystal Structure Determination

description: Related Article: Uttam R. Pokharel, Frank R. Fronczek, Andrew W. Maverick|2025|Dalton Trans.|55|1259|doi:10.1039/d5dt02551f
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc12s040
title: CCDC 1006171: Experimental Crystal Structure Determination

description: Related Article: Uttam R. Pokharel, Frank R. Fronczek, Andrew W. Maverick|2025|Dalton Trans.|55|1259|doi:10.1039/d5dt02551f
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc12s051
title: CCDC 1006172: Experimental Crystal Structure Determination

description: Related Article: Uttam R. Pokharel, Frank R. Fronczek, Andrew W. Maverick|2025|Dalton Trans.|55|1259|doi:10.1039/d5dt02551f
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc12s062
title: CCDC 1006173: Experimental Crystal Structure Determination

description: Related Article: Uttam R. Pokharel, Frank R. Fronczek, Andrew W. Maverick|2025|Dalton Trans.|55|1259|doi:10.1039/d5dt02551f
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jhfm3
title: CCDC 2338535: Experimental Crystal Structure Determination

description: Related Article: Shannon Heinrich, Zongheng Wang, Jitendrasingh Rajpurohit, Ashley Yeow, Roman Dobrovetsky, Lior Sepunaru, Gabriel Ménard|2025|Chem.-Eur.J.|31|e02902|doi:10.1002/chem.202502902
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jhfn4
title: CCDC 2338536: Experimental Crystal Structure Determination

description: Related Article: Shannon Heinrich, Zongheng Wang, Jitendrasingh Rajpurohit, Ashley Yeow, Roman Dobrovetsky, Lior Sepunaru, Gabriel Ménard|2025|Chem.-Eur.J.|31|e02902|doi:10.1002/chem.202502902
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jkkwk
title: CCDC 2340589: Experimental Crystal Structure Determination

description: Related Article: Yue Zhao,  Bingjie Fu,  Yang Li,  Di Liu,  Wei Bai|2025|Communications Chemistry|8|399|doi:10.1038/s42004-025-01799-2
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2j6q6p
title: CCDC 2330152: Experimental Crystal Structure Determination

description: Related Article: Tian-Sheng He, Qi Yang, Qi Chen, Xiao Ge, Junli Wang, Baole Li, Hui Wang, Taihong Yan|2025|Sci.China.Chem.|||doi:10.1007/s11426-025-2912-8
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jmpb6
title: CCDC 2342618: Experimental Crystal Structure Determination

description: Related Article: Vitalii S. Basistyi, Tyler D. Weinhold, Jacqueline A. Pinkerton, James A. Law, James H. Frederich|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c19654
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc281nyy
title: CCDC 2086980: Experimental Crystal Structure Determination

description: Related Article: Zhi-Min Zhai, Zeng-Shuai Yan, Yan Xu, Yao-Yao Zhang, Ting-Lian Yuan, Hong-Ming Ding, Song-Song Bao, Yu-Qiang Ma, Wei Wang, Li-Min Zheng|2025|Inorg.Chem.Front.|||doi:10.1039/d5qi02315g
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jpngc
title: CCDC 2344513: Experimental Crystal Structure Determination

description: Related Article: Xinyu Jiang, Xinke Zhang, Xi Fang, Xinfang Xu|2025|Youji Huaxue|45|2231|doi:10.6023/cjoc202405026
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.30904049
title: supplementary data sets for Poli et. al.

description: <i>This study identifies a previously unrecognized cardiac neurovascular unit in which sympathetic fibers lie in close anatomical apposition to capillary endothelial cells. Disruption of this cell-to-cell interface­ - during aging, pharmacologic sympathectomy, or following heart transplantation - is associated with capillary remodeling and cardiomyocyte atrophy. These findings broaden current concepts of cardiac autonomic regulation and highlight the coronary microcirculation as a structural component shaped by sympathetic integrity.</i>
DOI: 10.6084/m9.figshare.30904049.v2
title: supplementary data sets for Poli et. al. (MS# C-00841-2025R1)

description: <i>This study identifies a previously unrecognized cardiac neurovascular unit in which sympathetic fibers lie in close anatomical apposition to capillary endothelial cells. Disruption of this cell-to-cell interface­ - during aging, pharmacologic sympathectomy, or following heart transplantation - is associated with capillary remodeling and cardiomyocyte atrophy. These findings broaden current concepts of cardiac autonomic regulation and highlight the coronary microcirculation as a structural component shaped by sympathetic integrity.</i>
DOI: 10.6084/m9.figshare.30904049.v3
title: supplementary data sets for Poli et. al.

description: <i>This study identifies a previously unrecognized cardiac neurovascular unit in which sympathetic fibers lie in close anatomical apposition to capillary endothelial cells. Disruption of this cell-to-cell interface­ - during aging, pharmacologic sympathectomy, or following heart transplantation - is associated with capillary remodeling and cardiomyocyte atrophy. These findings broaden current concepts of cardiac autonomic regulation and highlight the coronary microcirculation as a structural component shaped by sympathetic integrity.</i>
DOI: 10.15468/dl.ufjrh3
title: Occurrence Download

description: A dataset containing 427 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Domestic cat (Felis catus) preys reported by volunteers within the project Feral Cats"
 ]
}

 The dataset includes 427 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002909-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18329333
title: Tursunaliyev Muzaffar Zohidjon oʻgʻli, & Worldly Knowledge Publishing Centre. (2026). MAKTAB YOSHIDAGI BOLALARDA JISMONIY RIVOJLANISH, OVQATLANISH HOLATI VA SALOMATLIK KO'RSATKICHLARINI KOMPLEKS GIGIYENIK BAHOLASH [Data set]. PEDAGOGICAL REFORMS AND THEIR SOLUTIONS, Uzbekistan. Zenodo. https://doi.org/10.5281/zenodo.18329304

description: Mazkur maqolada Farg‘ona vodiysining turli ekologik sharoitlarida yashovchi maktab o‘quvchilarining jismoniy ish qobiliyati, aqliy ish faoliyati va yurak-qon tomir tizimi gemodinamik ko‘rsatkichlari o‘rganilgan. Tadqiqot Quvasoy, Farg‘ona va Vodil shaharlaridagi umumta’lim maktablarining 3-, 8- va 11-sinf o‘quvchilari ishtirokida o‘tkazildi. Jismoniy ish qobiliyatini aniqlashda PWC170 testi, aqliy ish qobiliyatini baholashda Anfimov korrektura jadvali, funksional holatni tahlil qilishda yurak urish chastotasi, arterial bosim, qonning sistolik va daqiqalik hajmi hamda maksimal kislorod iste’moli ko‘rsatkichlaridan foydalanildi. Olingan natijalar matematik-statistik usullar yordamida qayta ishlanib, ekologik omillarning o‘quvchilar organizmining funksional imkoniyatlari va adaptatsion reaksiyalariga ta’siri aniqlangan.
DOI: 10.5281/zenodo.18329332
title: Tursunaliyev Muzaffar Zohidjon oʻgʻli, & Worldly Knowledge Publishing Centre. (2026). MAKTAB YOSHIDAGI BOLALARDA JISMONIY RIVOJLANISH, OVQATLANISH HOLATI VA SALOMATLIK KO'RSATKICHLARINI KOMPLEKS GIGIYENIK BAHOLASH [Data set]. PEDAGOGICAL REFORMS AND THEIR SOLUTIONS, Uzbekistan. Zenodo. https://doi.org/10.5281/zenodo.18329304

description: Mazkur maqolada Farg‘ona vodiysining turli ekologik sharoitlarida yashovchi maktab o‘quvchilarining jismoniy ish qobiliyati, aqliy ish faoliyati va yurak-qon tomir tizimi gemodinamik ko‘rsatkichlari o‘rganilgan. Tadqiqot Quvasoy, Farg‘ona va Vodil shaharlaridagi umumta’lim maktablarining 3-, 8- va 11-sinf o‘quvchilari ishtirokida o‘tkazildi. Jismoniy ish qobiliyatini aniqlashda PWC170 testi, aqliy ish qobiliyatini baholashda Anfimov korrektura jadvali, funksional holatni tahlil qilishda yurak urish chastotasi, arterial bosim, qonning sistolik va daqiqalik hajmi hamda maksimal kislorod iste’moli ko‘rsatkichlaridan foydalanildi. Olingan natijalar matematik-statistik usullar yordamida qayta ishlanib, ekologik omillarning o‘quvchilar organizmining funksional imkoniyatlari va adaptatsion reaksiyalariga ta’siri aniqlangan.
DOI: 10.15468/dl.cys9eg
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Achalinus formosanus"
 ]
}

 The dataset includes 56 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002914-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8e4apg
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The InBIO Barcoding Initiative Database: Portuguese Scorpionflies (Mecoptera, Panorpidae)"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002915-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/svg3pyr3tk
title: Intralesional oxytetracycline as a sclerosing agent for hidradenitis suppurativa tunnels

description: Demonstration of intralesional oxytetracycline instillation into a hidradenitis suppurativa tunnel in the perineal region.
DOI: 10.17632/svg3pyr3tk.1
title: Intralesional oxytetracycline as a sclerosing agent for hidradenitis suppurativa tunnels

description: Demonstration of intralesional oxytetracycline instillation into a hidradenitis suppurativa tunnel in the perineal region.
DOI: 10.5066/p14jdttj
title: Freshwater Habitat Environmental Predictor Layers for Waterbodies and Streams across the Contiguous United States

description: This dataset contains raster layers for environmental characteristics for freshwater habitats including waterbodies (standing water including lakes and wetlands) and streams (moving water) for the contiguous United States. These data can be used to model habitat suitability of non-native species in the contiguous United States. Habitat predictors were developed in four suites: current waterbodies, current stream, future waterbodies, and future stream. A total of 44 predictor layers were compiled representing current conditions that represent environmental characteristics associated with habitat suitability of invasive aquatic species, such as climate, land-use, soil properties, topographic characteristics, and hydrologic flow. Predictor layers representing potential future conditions included single scenario predictions for land-use (2050) and hydrologic flow (2030 - 2059) variables as well as climate scenarios (CMIP6) which consist of five global circulation models of the shared socioeconomic pathway 370 (SSP370) from present to mid-century (2011 - 2040) that are included as part of the CHELSA (Climatologies at high resolution for the earth’s land surface areas) dataset. All layers were produced as geotiff raster files at an approximately 100 meter spatial resolution. We also include the R code we used to produce these data from their publicly available data sources.

This data release specifically includes the waterbody template raster, stream template raster, child items for waterbody_current, waterbody_future, stream_current, and stream_future, and R code (r-code.zip).
DOI: 10.17632/455t348yxk
title: Data for Doctoral Thesis (J. HORŇAS): A Machine Learning Approach for Fatigue Life Prediction of Additively Manufactured Metal Parts

description: Title of Doctoral Thesis: A Machine Learning Approach for Fatigue Life Prediction of Additively Manufactured Metal Parts
Author: Jan HORŇAS

Affiliation:
Czech Technical University in Prague
Faculty of Nuclear Sciences and Physical Engineering
Trojanova 13, 12000 Prague, Czechia

The root directory contains a README.pdf file describing the datasets, along with several Comma-Separated Values (CSV) files corresponding to the experimental raw dataset, training (baseline or augmented) and test sets for each permutation (P1, ..., P5), see Tab. 1 in README.pdf. The structure is as follows:

 /
 ├── README.pdf
 ├── 00_Experimental_Raw_Dataset/
 ├── 01_Baseline_Dataset/
 ├── 02_Augmented_Dataset_8_instances/
 ├── 03_Augmented_Dataset_23_instances/
 └── 04_Augmented_Dataset_69_instances/
 ├── X_Scaled_Augmented_Training_Set_P1_69_instances.csv
 ├── X_Scaled_Experimental_Test_Set_P1.csv
 ├── X_Scaled_Experimental_Training_Set_P1.csv
 ├── y_Augmented_Training_Set_P1_69_instances.csv
 ├── y_Experimental_Test_Set_P1.csv
 ├── y_Experimental_Training_Set_P1.csv
 ├── ...
 ├── X_Scaled_Augmented_Training_Set_P5_69_instances.csv
 ├── X_Scaled_Experimental_Test_Set_P5.csv
 ├── X_Scaled_Experimental_Training_Set_P5.csv
 ├── y_Augmented_Training_Set_P5_69_instances.csv
 ├── y_Experimental_Test_Set_P5.csv
 └── y_Experimental_Training_Set_P5.csv

The final training datasets used in doctoral thesis are formed by concatenating the experimental and augmented data (generated by variational autoencoder) as described by (Eq. 1) and (Eq. 2) in the README.pdf file.

The labels of individual columns—representing features (X) and target(y)—in the CSV files are denoted as listed in Tab. 2 in README.pdf file.


---------- IF ANY DATASET IS USED, PLEASE CITE ALL RELATED REFERENCES LISTED BELOW ----------

[1] Jan Horňas. “A Machine Learning Approach for Fatigue Life Prediction of Additively Manufactured
Metal Parts”. Doctoral thesis. Prague: Czech Technical University in Prague, 2025. 
URL: https://hdl.handle.net/10467/177291.

[2] Jan Horňas et al. “Multivariate interpolation and machine learning models for extreme defects-based
fatigue life prediction of Ti6Al4V specimens fabricated by SLM”. In: Engineering Fracture Mechanics
314 (2025). ISSN: 0013-7944. DOI: https://doi.org/10.1016/j.engfracmech.2024.110756.

[3] Jan Horňas et al. “A machine learning based approach with an augmented dataset for fatigue life
prediction of additively manufactured Ti-6Al-4V samples”. In: Engineering Fracture Mechanics 293
(2023). ISSN: 0013-7944. DOI: https://doi.org/10.1016/j.engfracmech.2023.109709.

[4] Jan Horňas et al. “Modelling fatigue life prediction of additively manufactured Ti-6Al-4V samples
using machine learning approach”. In: International Journal of Fatigue 169 (2023). ISSN: 0142-1123.
DOI: https://doi.org/10.1016/j.ijfatigue.2022.107483.
DOI: 10.5281/zenodo.18329343
title: Gravity as the Emergent Manifestation of Dual Attractive Forces: The Electromagnetic-Thermodynamic Unification Through  Energetic Potential Equilibration

description: We present a unified theoretical framework demonstrating that gravitational phenomena

emerge from two fundamental attractive forces, both manifestations of energetic potential equi-libration in Structured Vesicular Entities (SVEs). Through systematic experimental falsifica-tion, we demonstrate: (1) Maxwell’s Equations fail in three-dimensional systems where magnetic

repulsion is geometrically impossible, yielding a 7:1 attraction-to-repulsion ratio; (2) thermal

gradients function as vectorial attractive forces capable of generating negentropy and perform-ing mechanical work independently of bulk temperature; and (3) electromagnetic and thermal

potentials are not analogous but identical phenomena—both representing energetic potentialdifferences stored in SVE structures. We derive the fundamental equivalence e∆V ≡ kB∆T

and demonstrate that ”gravity” is the macroscopic manifestation of SVEs seeking equilibra-tion through: (i) 3D magnetic alignment (structural lock) governing solid aggregation, and (ii)

thermal attraction (orbital pull) governing fluid motion and planetary orbits. Elliptical orbitsemerge naturally as the dynamic breathing pattern between these competing attractive forces,eliminating the need for curved spacetime, dark matter, or General Relativity. This work unifieselectromagnetism and thermodynamics, revealing them as different experimental probes of thesame underlying physics of energetic potential gradients.