cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22357594.v1
title: ADESÃO DOS MUNICÍPIOS AO PROGRAMA INFORMATIZA APS DO SISTEMA ÚNICO DE SAÚDE NO BRASIL: UM CAMINHO À EQUIDADE EM SAÚDE DIGITAL?

description: Os dados apresentados são resultados de uma pesquisa que tem por objetivo avaliar a relação entre fatores socioeconômicos, de infraestrutura digital e o contexto de adesão dos municípios brasileiros ao “Programa Informatiza APS” na perspectiva do fortalecimento da equidade em saúde.
DOI: 10.25345/c5zk55x04
title: MassIVE MSV000091590 - Melanopsin (OPN4) is a novel player in skin homeostasis and attenuates UVA-induced effects
title: The presence of melanopsin (OPN4) has been shown in cultured murine melanocytes and was associated with ultraviolet A radiation (UVA) reception. We demonstrated the protective role of OPN4 in skin physiology and the increased UVA-induced damage in its absence using proteomics analysis.
DOI: 10.6084/m9.figshare.21823455.v35
title: The ReptileEvolution.com Project

description: Taxon exclusion is the number one problem currently vexing paleontology. The search for pterosaur, turtle, bat, snake, whale, reptile and tetrapod ancestors continues to unnecessarily befuddle paleontologists who continue to work from cherry-picked, textbook and traditional taxon lists that overlook and omit pertinent taxa. That’s why the large reptile tree (LRT), the nearly completely resolved cladogram at the heart of www.ReptileEvolution.com, includes 2212 taxa. Larger taxon numbers minimize taxon exclusion issues. Results indicate the simple act of adding taxa resolves all phylogenetic issues.
DOI: 10.21227/xe4q-ax22
title: The Smart Campus Dataset

description: IoT has a significant role in smart campus. LoRaWAN is an emerging technology that enables serving hundreds of IoT devices. In this dataset, we present a the data results from the LoRa communication model between the devices and the gateway and between the gateway and the processing server. In addition, we present the physical readings sensed by the LoRa devices. This dataset is very rich and can be used in many applications, such as time-series forecasting, number of people prediction, and veryfing spatial correlation algorithms.
DOI: 10.57967/hf/0489
title: OIL
DOI: 10.25345/c5tt4g36s
title: MassIVE MSV000091591 - Melanopsin (OPN4) is a novel player in skin homeostasis and attenuates UVA-induced effects
title: The presence of melanopsin (OPN4) has been shown in cultured murine melanocytes and was associated with ultraviolet A radiation (UVA) reception. We demonstrated the protective role of OPN4 in skin physiology and the increased UVA-induced damage in its absence, using proteomics analysis.
DOI: 10.5281/zenodo.7783492
title: Textual Process Descriptions and Corresponding BPMN Models

description: This dataset provides an archive with 24 textual process descriptions in different granularities, each with 8-11 BPMN models, that represent possible solutions for modelling the description. Each BPMN model has an assigned score of 0..5 which describes how good a human expert deemed the solution.
DOI: 10.5281/zenodo.7783491
title: Textual Process Descriptions and Corresponding BPMN Models

description: This dataset provides an archive with 24 textual process descriptions in different granularities, each with 8-11 BPMN models, that represent possible solutions for modelling the description. Each BPMN model has an assigned score of 0..5 which describes how good a human expert deemed the solution.
DOI: 10.5281/zenodo.7783488
title: Tissue-engineered vocal fold replacement in swine: Methods for functional and structural analysis.

description: S2 Data. 5534 pig squeal events investigated in this study, provided in a folder structure sorted by pigs, pre- / post-treatment and recording date as .wav files.
DOI: 10.5281/zenodo.7783487
title: Tissue-engineered vocal fold replacement in swine: Methods for functional and structural analysis.

description: S2 Data. 5534 pig squeal events investigated in this study, provided in a folder structure sorted by pigs, pre- / post-treatment and recording date as .wav files.
DOI: 10.5281/zenodo.7783503
title: tyrannus_vociferans_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7783502
title: tyrannus_vociferans_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7778409
title: Detection of Silver Nanoparticles in Seawater Using Surface-Enhanced Raman Scattering

description: Nanomaterials significantly contribute to the development of new solutions to improve consumer products properties. Silver nanoparticles (AgNPs) are one of the most used, and as human exposure to such NPs increases, there is a growing need for analytical methods to identify and quantify nanoparticles present in the environment. Here we designed a detection strategy for AgNPs in seawater using surface-enhanced Raman Scattering (SERS). Three commercial AgNPs coated with polyvinylpyrrolidone (PVP) were used to determine the relative impact of size (PVP-15nmAgNPs and PVP-100nmAgNPs) and aggregation degree (predefined Ag aggregates, PVP-50–80nmAgNPs) on the SERS-based detection method. The study of colloidal stability and dissolution of selected AgNPs into seawater was carried out by dynamic light scattering and UV-vis spectroscopy. We showed that PVP-15nmAgNPs and PVP-100nmAgNPs remained colloidally stable, while PVP-50–80nmAgNPs formed bigger aggregates. We demonstrated that the SERS-based method developed here have the capacity to detect and quantify single and aggregates of AgNPs in seawater. The size had almost no effect on the detection limit (2.15 ± 1.22 mg/L for PVP-15nmAgNPs vs. 1.51 ± 0.71 mg/L for PVP-100nmAgNPs), while aggregation caused an increase of 2.9-fold (6.08 ± 1.21 mg/L). Our results demonstrate the importance of understanding NPs transformation in seawater since this can influence the detection method performance.
DOI: 10.5281/zenodo.7778408
title: Detection of Silver Nanoparticles in Seawater Using Surface-Enhanced Raman Scattering

description: Nanomaterials significantly contribute to the development of new solutions to improve consumer products properties. Silver nanoparticles (AgNPs) are one of the most used, and as human exposure to such NPs increases, there is a growing need for analytical methods to identify and quantify nanoparticles present in the environment. Here we designed a detection strategy for AgNPs in seawater using surface-enhanced Raman Scattering (SERS). Three commercial AgNPs coated with polyvinylpyrrolidone (PVP) were used to determine the relative impact of size (PVP-15nmAgNPs and PVP-100nmAgNPs) and aggregation degree (predefined Ag aggregates, PVP-50–80nmAgNPs) on the SERS-based detection method. The study of colloidal stability and dissolution of selected AgNPs into seawater was carried out by dynamic light scattering and UV-vis spectroscopy. We showed that PVP-15nmAgNPs and PVP-100nmAgNPs remained colloidally stable, while PVP-50–80nmAgNPs formed bigger aggregates. We demonstrated that the SERS-based method developed here have the capacity to detect and quantify single and aggregates of AgNPs in seawater. The size had almost no effect on the detection limit (2.15 ± 1.22 mg/L for PVP-15nmAgNPs vs. 1.51 ± 0.71 mg/L for PVP-100nmAgNPs), while aggregation caused an increase of 2.9-fold (6.08 ± 1.21 mg/L). Our results demonstrate the importance of understanding NPs transformation in seawater since this can influence the detection method performance.
DOI: 10.57967/hf/0486
title: GuanacoDataset
DOI: 10.5281/zenodo.7783535
title: tyrannus_cubensis_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7783534
title: tyrannus_cubensis_spades_01.fasta.gz

description: .
DOI: 10.5519/qd.z3hy2j3r
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2632 records)
DOI: 10.14279/depositonce-17170
title: Dataset: Optimal control of a Wilson-Cowan model of neural population dynamics

description: This is the complete dataset underlying the research article "Optimal control of a Wilson-Cowan model of neural population dynamics", under review in Chaos: An Interdisciplinary Journal of Nonlinear Science. The repository contains the file "data.pdf", where the labelling of the data files is explained. Each data file relates to a certain control task studied in the related research article.
DOI: 10.5281/zenodo.7783525
title: Data files for Atmospheric Gravity Wave and Instability Observations from the International Space Station using the Near InfraRed Airglow Camera (NIRAC)

description: The files in this set are data obtained from the NIRAC airglow imager on the International Space Station. The files are named for a JGR paper by J. Hecht et al. entitled Atmospheric Gravity Wave and Instability Observations from the International Space Station using the Near InfraRed Airglow Camera (NIRAC). These files are for plots in Figures 5,7,10,11,17,18, and 19 in the submitted paper. The files are published here so as to be available for review. This paper should appear in JGR Atmospheres sometime in late 2023 or early 2024. The files that are text files are meant to be read with IDL as discussed in the readme file.
DOI: 10.5281/zenodo.7783524
title: Data files for Atmospheric Gravity Wave and Instability Observations from the International Space Station using the Near InfraRed Airglow Camera (NIRAC)

description: The files in this set are data obtained from the NIRAC airglow imager on the International Space Station. The files are named for a JGR paper by J. Hecht et al. entitled Atmospheric Gravity Wave and Instability Observations from the International Space Station using the Near InfraRed Airglow Camera (NIRAC). These files are for plots in Figures 5,7,10,11,17,18, and 19 in the submitted paper. The files are published here so as to be available for review. This paper should appear in JGR Atmospheres sometime in late 2023 or early 2024. The files that are text files are meant to be read with IDL as discussed in the readme file.
DOI: 10.5281/zenodo.7637519
title: mit-ll/AlphaSeq_Antibody_Dataset: Initial release of AlphaSeq Antibody Dataset

description: Dataset with quantitative binding scores of scFv-format antibodies against SARS-CoV-2 target peptide.
DOI: 10.5281/zenodo.7637549
title: mit-ll/AlphaSeq_Antibody_Dataset: Initial release of AlphaSeq Antibody Dataset

description: Dataset with quantitative binding scores of scFv-format antibodies against SARS-CoV-2 target peptide.
DOI: 10.25345/c5q23r93f
title: MassIVE MSV000091592 - Melanopsin (OPN4) is a novel player in skin homeostasis and attenuates UVA-induced effects
title: The presence of melanopsin (OPN4) has been shown in cultured murine melanocytes and was associated with ultraviolet A radiation (UVA) reception. Here we demonstrated the protective role of OPN4 in skin physiology and the increased UVA-induced damage in its absence, using proteomics analysis.
DOI: 10.34740/kaggle/dsv/5265388
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.6886143
title: Data used in the paper A Taxonomy of Testable HTML5 Canvas Issues

description: This repository contains data used in the paper <code>A Taxonomy of Testable HTML5 Canvas Issues</code>, submitted to IEEE Transactions on Software Engineering. <strong>Data description:</strong> file name description fields extracted_projects.csv 180 open-source &lt;canvas&gt; projects (extracted from GitHub) nameWithOwner extracted_bug_reports.csv 2,403 &lt;canvas&gt; issue reports (extracted from the 180 GitHub projects) url classified_bug_reports.csv 332 classified issue reports (sampled from extracted_bug_reports.csv) url, type
DOI: 10.5281/zenodo.6886142
title: Data used in the paper A Taxonomy of Testable HTML5 Canvas Issues

description: This repository contains data used in the paper <code>A Taxonomy of Testable HTML5 Canvas Issues</code>, submitted to IEEE Transactions on Software Engineering. <strong>Data description:</strong> file name description fields extracted_projects.csv 180 open-source &lt;canvas&gt; projects (extracted from GitHub) nameWithOwner extracted_bug_reports.csv 2,403 &lt;canvas&gt; issue reports (extracted from the 180 GitHub projects) url classified_bug_reports.csv 332 classified issue reports (sampled from extracted_bug_reports.csv) url, type
DOI: 10.5281/zenodo.7778119
title: Anonymous Submission

description: Anonymous Dataset for blinded review.
DOI: 10.5281/zenodo.7778118
title: Anonymous Submission

description: Anonymous Dataset for blinded review.
DOI: 10.6084/m9.figshare.22315159
title: The C10orf76-PI4KB axis orchestrates CERT-mediated ceramide trafficking to the distal Golgi

description: The unprocessed data of the images of TLC and fluorescent microscopy shown in the <em>J. Cell Biol.</em> article entitled as "The C10orf76-PI4KB axis orchestrates CERT-mediated ceramide trafficking to the distal Golgi" are deposited in this figshare site. Uncropped images underlying all blots and STED microscopic images, and the raw data of lipidomic analysis are provided as Source Data or Supplemental material in the article.
DOI: 10.6084/m9.figshare.22315159.v1
title: The C10orf76-PI4KB axis orchestrates CERT-mediated ceramide trafficking to the distal Golgi

description: The unprocessed data of the images of TLC and fluorescent microscopy shown in the <em>J. Cell Biol.</em> article entitled as "The C10orf76-PI4KB axis orchestrates CERT-mediated ceramide trafficking to the distal Golgi" are deposited in this figshare site. Uncropped images underlying all blots and STED microscopic images, and the raw data of lipidomic analysis are provided as Source Data or Supplemental material in the article.
DOI: 10.5281/zenodo.7783357
title: Open Context Database SQL Dump: Legacy Schema Tables and New Schema Tables

description: Open Context (https://opencontext.org) publishes free and open access research data for archaeology and related disciplines. An open source (but bespoke) Django (Python) application supports these data publishing services. The software repository is here: https://github.com/ekansa/open-context-py The Open Context team runs ETL (extract, transform, load) workflows to import data contributed by researchers from various source relational databases and spreadsheets. Open Context uses PostgreSQL (https://www.postgresql.org) relational database to manage these imported data in a graph style schema. The Open Context Python application interacts with the PostgreSQL database via the Django Object-Relational-Model (ORM). In 2023, the Open Context team finished migration of from a legacy database schema to a revised and refactored database schema with stricter referential integrity and better consistency across tables. During this process, the Open Context team de-duplicated records, cleaned some metadata, and redacted attribute data left over from records that had been incompletely deleted in the legacy schema. This database dump includes all Open Context data organized with the legacy schema (table names that start with the 'oc_' or 'link_' prefixes) along with all Open Context data after cleanup and migration to the new database schema (table names that start with 'oc_all_'). The binary media files referenced by these structured data records are stored elsewhere. Binary media files for some projects, still in preparation, are not yet archived with long term digital repositories. These data comprehensively reflect the structured data currently published and publicly available on Open Context. Other data (such as user and group information) used to run the Website are not included. <strong>IMPORTANT</strong> This database dump contains data from roughly 180 different projects. Each project dataset has its own metadata and citation expectations. If you use these data, you must cite each data contributor appropriately, not just this Zenodo archived database dump.
description: This database dump contains data from roughly 180 different projects. Each project dataset has its own metadata and citation expectations. If you use these data, you must cite each data contributor appropriately, not just this Zenodo archived database dump.
DOI: 10.5281/zenodo.7783356
title: Open Context Database SQL Dump: Legacy Schema Tables and New Schema Tables

description: Open Context (https://opencontext.org) publishes free and open access research data for archaeology and related disciplines. An open source (but bespoke) Django (Python) application supports these data publishing services. The software repository is here: https://github.com/ekansa/open-context-py The Open Context team runs ETL (extract, transform, load) workflows to import data contributed by researchers from various source relational databases and spreadsheets. Open Context uses PostgreSQL (https://www.postgresql.org) relational database to manage these imported data in a graph style schema. The Open Context Python application interacts with the PostgreSQL database via the Django Object-Relational-Model (ORM). In 2023, the Open Context team finished migration of from a legacy database schema to a revised and refactored database schema with stricter referential integrity and better consistency across tables. During this process, the Open Context team de-duplicated records, cleaned some metadata, and redacted attribute data left over from records that had been incompletely deleted in the legacy schema. This database dump includes all Open Context data organized with the legacy schema (table names that start with the 'oc_' or 'link_' prefixes) along with all Open Context data after cleanup and migration to the new database schema (table names that start with 'oc_all_'). The binary media files referenced by these structured data records are stored elsewhere. Binary media files for some projects, still in preparation, are not yet archived with long term digital repositories. These data comprehensively reflect the structured data currently published and publicly available on Open Context. Other data (such as user and group information) used to run the Website are not included. <strong>IMPORTANT</strong> This database dump contains data from roughly 180 different projects. Each project dataset has its own metadata and citation expectations. If you use these data, you must cite each data contributor appropriately, not just this Zenodo archived database dump.
description: This database dump contains data from roughly 180 different projects. Each project dataset has its own metadata and citation expectations. If you use these data, you must cite each data contributor appropriately, not just this Zenodo archived database dump.
DOI: 10.21227/t7t3-5k24
title: AHT2D dataset

description: AHT2D dataset is composed of Handwritten Arabic letters with diacritics. In this dataset, we have 28 letter classes according to the number of Arabic letters. Each class contains a multiple letter form. We have different letter images from different sources such as the internet, our writers, etc. The AHT2D dataset includes only isolated letters. In addition, this dataset contains different writing styles, orientations, colors, thicknesses, sizes, and backgrounds, which makes it a very large and rich dataset. AHT2D is composed of three different files, which not only facilitates the tasks of text detection and recognition but also enable good results. These three files are training, testing, and validation. In our proposed model, we first divide our dataset into three sets: the training set, the test set, and the validation set. The split of our dataset is as follows. The training set has 80\% of the total dataset images. The rest is divided into testing and validation. The test set contains 80\% of the remaining images. Furthermore, the validation set contains 20\%. Finally, the processing step enhances and augments the images, as well as the data.
DOI: 10.25592/dgs.corpus-3.0-type-83715
title: KILOMETER-$KANDIDAT-MUE60^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release)
title: KILOMETRE-$CANDIDATE-MUE60^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Diese DOI identifiziert die Version 3.0 des Datensatzes.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus , die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This DOI identifies the version 3.0 of the dataset.