cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/42c5kkvzxh
title: Retronychia Inversa: Insights into a Newly Defined Nail Condition

description: Supplemental Figure 1. Distinguishing clinical features of the normal nail until, retronychia and retronychia inversa. Image created by Lea Tordjman.
DOI: 10.17632/42c5kkvzxh.1
title: Retronychia Inversa: Insights into a Newly Defined Nail Condition

description: Supplemental Figure 1. Distinguishing clinical features of the normal nail until, retronychia and retronychia inversa. Image created by Lea Tordjman.
DOI: 10.15468/dl.kwht8f
title: Occurrence Download

description: A dataset containing 2423 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SANT-Bryo"
 ]
}

 The dataset includes 2423 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044854-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5z3dyjn6cr
title: MATLAB Code for Exact Analytical Solution of Nonhomogeneous Couette–Poiseuille Flow with Permeable Boundaries

description: This repository contains a MATLAB script for the automated computation and visualization of exact analytical solutions for the nonhomogeneous Couette–Poiseuille flow of a viscous incompressible fluid in an infinite horizontal channel with permeable boundaries.
The code implements a novel solution that simultaneously accounts for three key physical effects: (1) a linearly non-uniform boundary condition on the moving upper wall, (2) a constant pressure gradient along the channel, and (3) a uniform suction/injection velocity through both permeable walls. The program calculates the full 2D velocity field Vx(y,z) and derives associated hydrodynamic characteristics such as shear stress, vorticity, and local Reynolds number.
Key features:
Exact Solution: Provides a benchmark for validating numerical CFD codes.
Comparative Analysis: Computes results for three common fluids (water, crude oil, motor oil) at specified temperatures.
Comprehensive Visualization: Generates eight figures illustrating velocity profiles, 2D fields, isolines, vector plots, and the transport parameter αh .
Self-contained: All parameters are defined within the script; no external dependencies are required.
This tool is designed for researchers and students in fluid mechanics, microfluidics, and lubrication theory who require a reliable, analytical reference for complex flows with permeable boundaries.
DOI: 10.18150/avgjow
title: The impact of Interleukin 27 on the expression of immune checkpoint molecules and their ligands in/on peripheral blood lymphocytes in a group of healthy people and patients with chronic lymphocytic leukemia - cytometric data

description: The study aimed to determine the impact of interleukin 27 on the expression of immune checkpoint molecules and their ligands in/on peripheral blood lymphocytes subjected to cell culture. Such lymphocytes came from people from a healthy population and from people suffering from chronic lymphocytic leukemia. During the study, the expression of the following antigens was determined: LAG3, HLA-DR, CTLA4, CD80, IFN-g, IL-4, TIM-3, GAL-9, PDL-1, PD-1, IDO-1, GITR in the CD4+, CD8+ and CD19+ cell populations.
DOI: 10.17632/5z3dyjn6cr.1
title: MATLAB Code for Exact Analytical Solution of Nonhomogeneous Couette–Poiseuille Flow with Permeable Boundaries

description: This repository contains a MATLAB script for the automated computation and visualization of exact analytical solutions for the nonhomogeneous Couette–Poiseuille flow of a viscous incompressible fluid in an infinite horizontal channel with permeable boundaries.
The code implements a novel solution that simultaneously accounts for three key physical effects: (1) a linearly non-uniform boundary condition on the moving upper wall, (2) a constant pressure gradient along the channel, and (3) a uniform suction/injection velocity through both permeable walls. The program calculates the full 2D velocity field Vx(y,z) and derives associated hydrodynamic characteristics such as shear stress, vorticity, and local Reynolds number.
Key features:
Exact Solution: Provides a benchmark for validating numerical CFD codes.
Comparative Analysis: Computes results for three common fluids (water, crude oil, motor oil) at specified temperatures.
Comprehensive Visualization: Generates eight figures illustrating velocity profiles, 2D fields, isolines, vector plots, and the transport parameter αh .
Self-contained: All parameters are defined within the script; no external dependencies are required.
This tool is designed for researchers and students in fluid mechanics, microfluidics, and lubrication theory who require a reliable, analytical reference for complex flows with permeable boundaries.
DOI: 10.15468/dl.aayada
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-112.4688 27.74913, -112.3188 27.74913, -112.3188 27.89913, -112.4688 27.89913, -112.4688 27.74913))"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044855-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.12713.45922
title: PARTNER VERSION OF MVPDQ- PV-MVPDQ English version Molaeinezhad etal 2014.pdf
DOI: 10.13140/rg.2.2.26135.23202
title: Colorado beetles in the field - like to sit on the upper side of the plant
DOI: 10.15468/dl.eju47k
title: Occurrence Download

description: A dataset containing 1577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.58838455151717",
 "DecimalLongitude is less than 6.59144410470157",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1577 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044856-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yapkb
title: Occurrence Download

description: A dataset containing 8585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Africa)",
 "OccurrenceStatus is Present",
 "TaxonKey is Stenella coeruleoalba"
 ]
}

 The dataset includes 8585 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044857-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pjkrx3kk8h
title: Bangladeshi Street Food

description: The Bangladeshi Street Food Image Dataset is a well-organized collection of real-world images showcasing five major categories of popular street foods found across Dhaka. Each category includes more than five samples captured in natural environments such as streets, footpaths, and local markets, reflecting true lighting, environmental diversity, and vendor-based variations. The dataset features both close-up food images and broader contextual shots, creating an authentic picture of Bangladesh’s street food culture. All images are labeled and supported with basic metadata, making the dataset suitable for machine learning tasks like classification and object detection. Beyond computer vision research, the dataset can support studies in public health, tourism, cultural documentation, and urban planning, offering value to researchers, students, and policymakers alike.
DOI: 10.17632/pjkrx3kk8h.2
title: Bangladeshi Street Food

description: The Bangladeshi Street Food Image Dataset is a well-organized collection of real-world images showcasing five major categories of popular street foods found across Dhaka. Each category includes more than five samples captured in natural environments such as streets, footpaths, and local markets, reflecting true lighting, environmental diversity, and vendor-based variations. The dataset features both close-up food images and broader contextual shots, creating an authentic picture of Bangladesh’s street food culture. All images are labeled and supported with basic metadata, making the dataset suitable for machine learning tasks like classification and object detection. Beyond computer vision research, the dataset can support studies in public health, tourism, cultural documentation, and urban planning, offering value to researchers, students, and policymakers alike.
DOI: 10.15468/dl.b7drt8
title: Occurrence Download

description: A dataset containing 63592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragopogon dubius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 63592 records from 862 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044800-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ds8rdhvnzv
title: Diagnosis of Acanthamoebae infection using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

description: The data was collected as part of the intra-ssay and inter-assay variation test. In each analytical run, six samples were prepared using the centrifugal membrane filters. Each sample was spotted onto six MALDI target spots, leading to six mass spectra per sample. For the intra-assay, 36 mass spectra were evaluated (n=36). The inter-assay encompasses n=108 mass spectra recorded on three consecutive days (36 mass spectra per day). The notation (e.g., A1) refers only to the MALDI target spot used. If there are not six mass spectra per sample per day, these remaining mass spectra were flatline spectra.
DOI: 10.17632/ds8rdhvnzv.1
title: Diagnosis of Acanthamoebae infection using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

description: The data was collected as part of the intra-ssay and inter-assay variation test. In each analytical run, six samples were prepared using the centrifugal membrane filters. Each sample was spotted onto six MALDI target spots, leading to six mass spectra per sample. For the intra-assay, 36 mass spectra were evaluated (n=36). The inter-assay encompasses n=108 mass spectra recorded on three consecutive days (36 mass spectra per day). The notation (e.g., A1) refers only to the MALDI target spot used. If there are not six mass spectra per sample per day, these remaining mass spectra were flatline spectra.
DOI: 10.17632/mfsg573r9t
title: ChattoBan: A Benchmark Dataset for Language Identification Between Bengali and Chittagonian Dialects

description: Chittagonian is one of the most widely spoken native languages in Bangladesh, with an estimated 14 million speakers across the country and abroad. Although Bengali is the national language, Chittagonian differs significantly in phonology, vocabulary, and grammar. These linguistic differences make automatic language identification an important task for NLP applications such as machine translation, language detection, and sentiment analysis.

To address the scarcity of Chittagonian language resources, we introduce ChattoBan, a benchmark dataset designed for sentence-level identification between Bengali and Chittagonian. The dataset contains 6,151 annotated sentences, categorized as follows:

Chittagonian: 2,650 sentences

Bengali: 3,501 sentences

Chittagonian sentences were collected from social media platforms (Facebook, Twitter), Chittagonian news articles, song lyrics, and direct contributions from native speakers. Bengali sentences were sourced from various Bengali newspapers and classical literature to ensure authentic and diverse language representation.

To ensure annotation reliability, two native Chittagonian speakers and one native Bengali speaker independently reviewed and validated all sentence labels. Additionally, preprocessing steps such as duplicate removal, punctuation removal, and English character and number filtering were applied to enhance data quality while preserving linguistic authenticity.

The ChattoBan dataset has significant implications across multiple NLP and AI domains, including:

Language identification for closely related languages

Machine translation and code-switching analysis

Supervised and semi-supervised learning

Sociolinguistic and dialect studies

Bangla-centric NLP research and educational applications

The ChattoBan dataset is openly available for academic and research purposes, promoting collaboration and innovation within the Bangla NLP community. By providing a reliable benchmark for Bengali–Chittagonian identification, this dataset aims to support future advancements in low-resource language processing.
DOI: 10.17632/mfsg573r9t.1
title: ChattoBan: A Benchmark Dataset for Language Identification Between Bengali and Chittagonian Dialects

description: Chittagonian is one of the most widely spoken native languages in Bangladesh, with an estimated 14 million speakers across the country and abroad. Although Bengali is the national language, Chittagonian differs significantly in phonology, vocabulary, and grammar. These linguistic differences make automatic language identification an important task for NLP applications such as machine translation, language detection, and sentiment analysis.

To address the scarcity of Chittagonian language resources, we introduce ChattoBan, a benchmark dataset designed for sentence-level identification between Bengali and Chittagonian. The dataset contains 6,151 annotated sentences, categorized as follows:

Chittagonian: 2,650 sentences

Bengali: 3,501 sentences

Chittagonian sentences were collected from social media platforms (Facebook, Twitter), Chittagonian news articles, song lyrics, and direct contributions from native speakers. Bengali sentences were sourced from various Bengali newspapers and classical literature to ensure authentic and diverse language representation.

To ensure annotation reliability, two native Chittagonian speakers and one native Bengali speaker independently reviewed and validated all sentence labels. Additionally, preprocessing steps such as duplicate removal, punctuation removal, and English character and number filtering were applied to enhance data quality while preserving linguistic authenticity.

The ChattoBan dataset has significant implications across multiple NLP and AI domains, including:

Language identification for closely related languages

Machine translation and code-switching analysis

Supervised and semi-supervised learning

Sociolinguistic and dialect studies

Bangla-centric NLP research and educational applications

The ChattoBan dataset is openly available for academic and research purposes, promoting collaboration and innovation within the Bangla NLP community. By providing a reliable benchmark for Bengali–Chittagonian identification, this dataset aims to support future advancements in low-resource language processing.
DOI: 10.13140/rg.2.2.19424.34568
title: MVPDQ -Molaeinezhad et al 2014.png
DOI: 10.17632/dx3pgcpzv8
title: Functional Shifts in AI Innovation

description: The data that support the findings of this study are available in the Google Patents database (https://patents.google.com/). These data were derived from resources available in the public domain by searching the term “artificial intelligence” within the U.S. patent dataset and were extracted on March 30, 2025. No proprietary or confidential data were used in this research.
DOI: 10.15468/dl.arvrc4
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-112.3188 27.74913, -112.1688 27.74913, -112.1688 27.89913, -112.3188 27.89913, -112.3188 27.74913))"
 ]
}

 The dataset includes 53 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044859-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dx3pgcpzv8.1
title: Functional Shifts in AI Innovation

description: The data that support the findings of this study are available in the Google Patents database (https://patents.google.com/). These data were derived from resources available in the public domain by searching the term “artificial intelligence” within the U.S. patent dataset and were extracted on March 30, 2025. No proprietary or confidential data were used in this research.
DOI: 10.18150/qagbgw
title: Data for the manuscript entitled "Substrate binding and channeling allosterically modulate the interactions within the AlkB-AlkG electron transfer complex"

description: This repository provides CHARMM-compatible topology (top) and parameter (par) plain-text files (UTF-8) for molecular dynamics simulations of the FtAlkBG monooxygenase. Files can be opened in any text editor and are directly usable with NAMD (free for academic use) and CHARMM.Contents: Definitions of atom types and partial charges; bonded terms (bonds, angles, dihedrals, impropers); and nonbonded parameters for two metal sites:Site3 (AlkG): Fe coordinated by four cysteines — top_all27_Site3.inp, par_all27_Site3.inp.Site1/2 (AlkB): di-iron site coordinated by nine histidines and one glutamate — top_all27_Site1_2.inp, par_all27_Site1_2.inp.Project context: This dataset supports molecular dynamics studies of the FtAlkBG monooxygenase, which operates through two coordinated catalytic metal centers: a di-iron site in the AlkB domain (here split into Site1 and Site2 in the topology) and an Fe–(Cys)_4 site in the AlkG domain (Site3). The provided TOP/PAR files supply the necessary atom types, partial charges, and bonded/nonbonded parameters to model these centers and their coordination environments. They are intended for integration into NAMD/CHARMM simulations of FtAlkBG and related constructs.Force field & units: CHARMM27; energies in kcal/mol, distances in Å, angles in degrees.Software used: NAMD v2.14Data authors:Karolina Mikulska-Ruminska - created the files Mehmed Zahid Ertem - provided partial charges and geometry via QM/MM calculationsFunding: Physical Biosciences Program within the US Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences and Biosciences (grant no KC030402); computational resources at the Center for Functional Nanomaterials, which is a U.S. Department of Energy Office of Science Facility, and the Scientific Data and Computing Center, a component of the Computational Science Initiative, at Brookhaven National Laboratory under Contract No. DE-SC0012704, by National Institutes of Health grants R01 GM139297 and R01 DK116780; Polish National Science Centre no. 2022/46/E/ST4/00053.See README.md for file organization and usage instructions.
DOI: 10.13140/rg.2.2.23482.81602
title: Software “Calculation of Circulation Pump Parameters in a Residential Building’s Water Heating System”. Registration No. 2023689376
DOI: 10.15468/dl.yvn2u7
title: Occurrence Download

description: A dataset containing 153397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanerpes rubricapillus",
 "Country is Colombia"
 ]
}

 The dataset includes 153397 records from 385 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044795-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwpzkj
title: Occurrence Download

description: A dataset containing 952 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myrcia rostrata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 952 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047990-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/8356v-a1602
title: Saccharomyces cerevisiae - JAWY1

description: Raw data files of Saccharomyces cerevisiae - JAWY1
description: <strong>Tilt Series Date:</strong> 2016-12-12</p>
<strong>Data Taken By:</strong> Shrawan kumar Mageswaran</p>
<strong>Species / Specimen:</strong> Unspecified</p>
<strong>Strain:</strong> None</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: -100.0 eV/Å²,  defocus: -8.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> reupload_downloaded</p>
<strong>Processing Software Used:</strong> IMOD</p>
<strong>Collaborators and Roles:</strong> Obtained from Dr. Greg Odorizzi @ Univ of Colorado at Boulder.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells were grown overnight, diluted to 0.2 OD in the morning and allowed to grow till OD ~0.6. Heat shocked @38 deg C for 1hr50min and recovered @28deg C for 20 min (except sm2016-12-12-3 alias TS16 which was heat shocked for 1.5 hr and recovered for 40 min)</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-12-12-7/rawdata/</p>TS11.mrc,  Tilt Series (Pixel Size 1.5 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-12-12-7/rawdata/TS11.mrc"
        > <i class="download icon"></i> Download </a></p>

        TS11_4bin_DB.rec,  Reconstruction (Pixel Size 0.0 nm), 293.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-12-12-7/3dimage_81148/TS11_4bin_DB.rec"
        > <i class="download icon"></i> Download </a></p>