cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24783933
title: <b>Influencia de un Videojuego Serio en el Comportamiento de los Conductores ante Incidencias Automovilísticas.</b>

description: Esta investigación tuvo como objetivo principal, mejorar el comportamiento de los conductores ante incidencias a través del uso de un videojuego serio. El tipo de investigación fue aplicada de diseño experimental de grado experimental puro, se tuvo como población una cantidad indeterminada de conductores de la ciudad de Trujillo, de los cuales se tomó 60 conductores de Trujillo de manera aleatoria, los cuales se asignaron 30 para el grupo de control y 30 para el grupo experimental, estos últimos utilizaron un videojuego desarrollado en el entorno UnrealEngine, 5.2.1; mediante fichas de observación se realizó la recolección de información; posteriormente se procedió a analizar y procesar los datos recolectados utilizando el software estadístico Jamovi v2.4.11. Los resultados obtenidos fueron una disminución de 1.4 errores, equivalente al 43.75% en el número de errores de acción, 2.36 errores equivalente al 51.14% en la cantidad de errores de intención, 0.7 errores equivalente al 31.4% en el número de violaciones a la ley de tránsito y de 2.03 errores equivalente al 42.92% en la cantidad de actitudes agresivas. Se concluyó que, el uso de un videojuego serio mejoró significativamente el comportamiento de los conductores ante incidencias.
DOI: 10.6084/m9.figshare.24783969
title: <b>Process and kinetics study on hydrolysis for the generation of Ti/W powders with controlled pore properties</b>

description: The lack of research on the hydrolysis and calcination processes in the low-concentration Ti-W-H2SO4 system has hindered the recovery of titanium from H2SO4 waste solution. This paper presents a feasible process for the preparation of Ti/W powders from unconcentrated H2SO4 solutions containing Ti and W. The kinetics of hydrolysis and the effects of process parameters on the properties of Ti/W powders were studied. Under optimum conditions, a Ti/W powder with a total TiO2 and WO3 content of 97.49%, a specific surface area of 89.40 m2/g was obtained. The resynthesized SCR catalysts prepared using Ti/W powder show good denitrification activity. The hydrolysis efficiency of Ti conforms to the Avrami model. The homogeneous nucleation reaction occurred during hydrolysis with an activation energy of 191.97 kJ/mol. Based on the kinetic research, the temperature and time can be adjusted to achieve a fine tuning of the microscopic morphology, pore properties, and particle size of the powder particles. This study demonstrates an effective method for the stable preparation of high-value products from low-concentration Ti-W-H2SO4 solutions, which contributes to environmentally friendly resource recovery.
DOI: 10.6084/m9.figshare.24783969.v1
title: <b>Process and kinetics study on hydrolysis for the generation of Ti/W powders with controlled pore properties</b>

description: The lack of research on the hydrolysis and calcination processes in the low-concentration Ti-W-H2SO4 system has hindered the recovery of titanium from H2SO4 waste solution. This paper presents a feasible process for the preparation of Ti/W powders from unconcentrated H2SO4 solutions containing Ti and W. The kinetics of hydrolysis and the effects of process parameters on the properties of Ti/W powders were studied. Under optimum conditions, a Ti/W powder with a total TiO2 and WO3 content of 97.49%, a specific surface area of 89.40 m2/g was obtained. The resynthesized SCR catalysts prepared using Ti/W powder show good denitrification activity. The hydrolysis efficiency of Ti conforms to the Avrami model. The homogeneous nucleation reaction occurred during hydrolysis with an activation energy of 191.97 kJ/mol. Based on the kinetic research, the temperature and time can be adjusted to achieve a fine tuning of the microscopic morphology, pore properties, and particle size of the powder particles. This study demonstrates an effective method for the stable preparation of high-value products from low-concentration Ti-W-H2SO4 solutions, which contributes to environmentally friendly resource recovery.
DOI: 10.5281/zenodo.10141489
title: MSL_dataset

description: Dataset MSL.
DOI: 10.5281/zenodo.10141490
title: MSL_dataset

description: Dataset MSL.
DOI: 10.5281/zenodo.10150441
title: Banco de dados da cheia do Rio Taquari-Antas de 2023

description: Este é o repositório do banco de dados da cheia do Rio Taquari-Antas em 4 e 5 de Setembro de 2023.
Acessar Documentação Técnica
O repositório está em constante atualização, observar a versão mais recente.
O banco de dados inclui camadas vetoriais e raster, ambas em formato geopackage. Para abrir, é preciso instalar o software QGIS (Download QGIS).
Observação: este banco de dados inclui as edificações Bing Maps do Vale do Rio Taquari-Antas.
Arquivos disponíveis:
taquari_bd.gpkg: Banco de dados em geopackage, incluindo projeto para manejo no QGIS
dicionario_de_camadas_taquari_bd.csv: Tabela em CSV com a lista de camadas, fonte e descrição
nt_iph_hge_16-09-2023.pdf: Documento PDF da Nota Técnica IPH/HGE de 16/09/2023
nt_iph_gpden_17-09-2023.pdf: Documento PDF da Nota Técnica IPH/GPDEN de 17/09/2023
nt_iph_gespla_19-09-2023.pdf: Documento PDF da Nota Técnica IPH/GESPLA de 19/09/2023
nt_iph_univates_17-11-2023.pdf: Documento PDF da Nota Técnica IPH/UNIVATES de 17/11/2023
DOI: 10.5281/zenodo.10341415
title: Banco de dados da cheia do Rio Taquari-Antas de 2023

description: Este é o repositório do banco de dados da cheia do Rio Taquari-Antas em 4 e 5 de Setembro de 2023.
Acessar Documentação Técnica
O repositório está em constante atualização, observar a versão mais recente.
O banco de dados inclui camadas vetoriais e raster, ambas em formato geopackage. Para abrir, é preciso instalar o software QGIS (Download QGIS).
Observação: este banco de dados inclui as edificações Bing Maps do Vale do Rio Taquari-Antas.
Arquivos disponíveis:
taquari_bd.gpkg: Banco de dados em geopackage, incluindo projeto para manejo no QGIS
dicionario_de_camadas_taquari_bd.csv: Tabela em CSV com a lista de camadas, fonte e descrição
cartas_taquari_2023.pdf: Documento PDF com exemplares de cartas temáticas sobre a enchente extraordinária de 2023.
nt_iph_hge_2023-09-16.pdf: Documento PDF da Nota Técnica IPH/HGE de 16/09/2023
nt_iph_gpden_2023-09-17.pdf: Documento PDF da Nota Técnica IPH/GPDEN de 17/09/2023
nt_iph_gespla_2023-09-19.pdf: Documento PDF da Nota Técnica IPH/GESPLA de 19/09/2023
nt_iph_univates_2023-11-17.pdf: Documento PDF da Nota Técnica IPH/UNIVATES de 17/11/2023
nt_iph_gespla_2023-12-11.pdf: Documento PDF da Nota Técnica IPH/GESPLA de 11/12/2023
DOI: 10.5281/zenodo.8368530
title: Banco de dados da cheia do Rio Taquari-Antas de 2023

description: Este é o repositório do banco de dados da cheia do Rio Taquari-Antas em 4 e 5 de Setembro de 2023.
Acessar Documentação Técnica
O repositório está em constante atualização, observar a versão mais recente.
O banco de dados inclui camadas vetoriais e raster, ambas em formato geopackage. Para abrir, é preciso instalar o software QGIS (Download QGIS).
Observação: este banco de dados inclui as edificações Bing Maps do Vale do Rio Taquari-Antas.
Arquivos disponíveis:
taquari_bd.gpkg: Banco de dados em geopackage, incluindo projeto para manejo no QGIS
dicionario_de_camadas_taquari_bd.csv: Tabela em CSV com a lista de camadas, fonte e descrição
cartas_taquari_2023.pdf: Documento PDF com exemplares de cartas temáticas sobre a enchente extraordinária de 2023.
nt_iph_hge_2023-09-16.pdf: Documento PDF da Nota Técnica IPH/HGE de 16/09/2023
nt_iph_gpden_2023-09-17.pdf: Documento PDF da Nota Técnica IPH/GPDEN de 17/09/2023
nt_iph_gespla_2023-09-19.pdf: Documento PDF da Nota Técnica IPH/GESPLA de 19/09/2023
nt_iph_univates_2023-11-17.pdf: Documento PDF da Nota Técnica IPH/UNIVATES de 17/11/2023
nt_iph_gespla_2023-12-11.pdf: Documento PDF da Nota Técnica IPH/GESPLA de 11/12/2023
DOI: 10.5281/zenodo.8368531
title: Banco de dados da cheia do Rio Taquari-Antas de 2023

description: <strong>Este é o repositório do banco de dados da cheia do Rio Taquari-Antas em 4 e 5 de Setembro de 2023.</strong> O repositório está em constante atualização, observar a versão mais recente. O banco de dados inclui camadas vetoriais e raster, ambas em formato geopackage. Para abrir, é preciso instalar o software QGIS (Download QGIS). Observação: este banco de dados inclui as edificações Bing Maps do Vale do Rio Taquari-Antas. Arquivos disponíveis: <strong>Nome do arquivo</strong> <strong>Descrição</strong> dicionario_de_camadas_taquari_bd.csv Tabela com a lista de camadas, fonte e descrição taquari_bd.gpkg Banco de dados em geopackage, incluindo projeto para manejo no QGIS
DOI: 10.5281/zenodo.8368725
title: Banco de dados da cheia do Rio Taquari-Antas de 2023

description: <strong>Este é o repositório do banco de dados da cheia do Rio Taquari-Antas em 4 e 5 de Setembro de 2023.</strong> Acessar Documentação Técnica O repositório está em constante atualização, observar a versão mais recente. O banco de dados inclui camadas vetoriais e raster, ambas em formato geopackage. Para abrir, é preciso instalar o software QGIS (Download QGIS). Observação: este banco de dados inclui as edificações Bing Maps do Vale do Rio Taquari-Antas. Arquivos disponíveis: <strong>Nome do arquivo</strong> <strong>Descrição</strong> taquari_bd.gpkg Banco de dados em geopackage, incluindo projeto para manejo no QGIS dicionario_de_camadas_taquari_bd.csv Tabela em CSV com a lista de camadas, fonte e descrição nt_iph_hge_16-09-2023.pdf Documento PDF da Nota Técnica IPH/HGE de 16/09/2023 nt_iph_gpden_17-09-2023.pdf Documento PDF da Nota Técnica IPH/GPDEN de 17/09/2023 nt_iph_gespla_19-09-2023.pdf Documento PDF da Nota Técnica IPH/GESPLA de 19/09/2023 Sugestão de citação: <em>Possantti, Iporã, Laipelt, Leonardo, Moraes, Sofia Royer, Zanandrea, Franciele, Eckhardt, Rafael Rodrigo, Michel, Gean Paulo, Fan, Fernando, Paiva, Rodrigo, Ruhoff, Anderson, Marques, Guilherme, Kobiyama, Masato, & Collischonn, Walter. (2023). Banco de dados da cheia do Rio Taquari-Antas de 2023 (v.0.0.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8368725 </em>
DOI: 10.5281/zenodo.8370985
title: Consolidação dos estudos identificados no MSL

description: Planilhas em formato .xlsx, contendo os estudos identificados na primeira etapa do Mapeamento Sistemático da Literatura, para a pesquisa "Utilização de chatbots com IA generativa na geração e revisão de códigos de programação"
DOI: 10.5281/zenodo.8370986
title: Consolidação dos estudos identificados no MSL

description: Planilhas em formato .xlsx, contendo os estudos identificados na primeira etapa do Mapeamento Sistemático da Literatura, para a pesquisa "Utilização de chatbots com IA generativa na geração e revisão de códigos de programação"
DOI: 10.5281/zenodo.10343613
title: MSL_Extração e seleção

description: Dataset com os passos da seleção dos estudos e extração dos dados
DOI: 10.5281/zenodo.10343612
title: MSL_Extração e seleção

description: Dataset com os passos da seleção dos estudos e extração dos dados
DOI: 10.34740/kaggle/dsv/7171325
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.34740/kaggle/dsv/7171324
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.6084/m9.figshare.22121447
title: Supplementary Information 1: Bone microstructure parameters of Sciurus vulgaris fuscoater humeri

description: Raw bone microstructure data for 40 humeri of red squirrels (<i>Sciurus vulgaris fuscoater</i> ).
DOI: 10.34740/kaggle/dsv/7171347
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.34740/kaggle/dsv/7171354
title: Full TMDB Movies Dataset 2023 (930K Movies)
DOI: 10.5281/zenodo.10339264
title: Coding table for chapter 30 'Valency change and causation' in Bowern (ed. 2023)

description: This is the coding table used for chapter 30 'Valency change and causation' (pp. 344-359) in the Oxford Guide on Australian Languages (Bowern, ed. 2023).
DOI: 10.5281/zenodo.10339263
title: Coding table for chapter 30 'Valency change and causation' in Bowern (ed. 2023)

description: This is the coding table used for chapter 30 'Valency change and causation' (pp. 344-359) in the Oxford Guide on Australian Languages (Bowern, ed. 2023).
DOI: 10.5883/bold:ach8921
title: Overview of Barcode Index Number - BOLD:ACH8921

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-eez2023
title: A DNA Barcoding Odyssey Reveals Diversity of Malaysias Offshore Fish Communities

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-rhodindi
title: Integrative taxonomic review of the genus Rhodostrophia Huebner, 1823 and its allied genus Tanaotrichia Warren ,1893 (Lepidoptera: Geometridae) from the Himalayas

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-habls
title: Rapid development of increased neonicotinoid tolerance in non target freshwater amphipods

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-1495
title: First report of molecular genetic description and barcoding of hard ticks (Metastigmata: Ixodidae) distributed in Georgia

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-namchir
title: Uncovering the hidden diversity of non biting midges (Diptera, Chironomidae) from central Namibia, using morphology and DNA barcodes

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5281/zenodo.10215076
title: Supporting data for "Space weather in the popular media, and the opportunities the upcoming solar maximum brings"

description: This contains the supporting data for the Space Weather Editorial "Space weather in the popular media, and the opportunities the upcoming solar maximum brings". It contains the Google Trends data (multiTimeline.csv) and the F10.7 and Kp data (omniweb.txt).
DOI: 10.5281/zenodo.10342938
title: Classification of obesity levels based on eating habits and physical condition

description: This dataset encompasses information intended for the assessment of obesity levels among individuals in the nations of Mexico, Peru, and Colombia.
The main dataset is prepared by other authors in the article (https://doi.org/10.1016/j.dib.2019.104344) I have only used this dataset to perform my final project related to the Homework Assignment 6: Machine Learning Application in Project Dataset. Here is some detaied explanation about the dataset: 
The attributes related with eating habits are:

Frequent consumption of high caloric food (FAVC)
Frequency of consumption of vegetables (FCVC)
Number of main meals (NCP)
Consumption of food between meals (CAEC)
Consumption of water daily (CH20)
Consumption of alcohol (CALC)
The attributes related with the physical condition are:

Calories consumption monitoring (SCC)
Physical activity frequency (FAF)
Time using technology devices (TUE)
Transportation used (MTRANS)
other variables obtained were:

Gender
Age
Height
Weight
family history with overweight
SMOKE activity
Finally, all data was labeled and the class variable NObesity was created with the values of:
a) Insufficient Weight
b) Normal Weight
c) Overweight Level I
d) Overweight Level II
e) Obesity Type I
f) Obesity Type II
g) Obesity Type III
DOI: 10.5281/zenodo.10342939
title: Classification of obesity levels based on eating habits and physical condition

description: This dataset encompasses information intended for the assessment of obesity levels among individuals in the nations of Mexico, Peru, and Colombia.
The main dataset is prepared by other authors in the article (https://doi.org/10.1016/j.dib.2019.104344) I have only used this dataset to perform my final project related to the Homework Assignment 6: Machine Learning Application in Project Dataset. Here is some detaied explanation about the dataset: 
The attributes related with eating habits are:

Frequent consumption of high caloric food (FAVC)
Frequency of consumption of vegetables (FCVC)
Number of main meals (NCP)
Consumption of food between meals (CAEC)
Consumption of water daily (CH20)
Consumption of alcohol (CALC)
The attributes related with the physical condition are:

Calories consumption monitoring (SCC)
Physical activity frequency (FAF)
Time using technology devices (TUE)
Transportation used (MTRANS)
other variables obtained were:

Gender
Age
Height
Weight
family history with overweight
SMOKE activity
Finally, all data was labeled and the class variable NObesity was created with the values of:
a) Insufficient Weight
b) Normal Weight
c) Overweight Level I
d) Overweight Level II
e) Obesity Type I
f) Obesity Type II
g) Obesity Type III
DOI: 10.25345/c5v98030r
title: MassIVE MSV000093625 - Small-scale Serial Size Exclusion Chromatography (s3SEC) for High Sensitivity Top-down Proteomics of Large Proteoforms
title: Mass spectrometry data for "Small-scale Serial Size Exclusion Chromatography (s3SEC) for High Sensitivity Top-down Proteomics of Large Proteoforms"
DOI: 10.5281/zenodo.8060824
title: KDE Representations of the Gravitational Wave Background Free Spectra Present in the NANOGrav 15-Year Dataset

description: This is a downloadable file of probability densities from KDEs (Kernel Density Estimator) of the NANOGrav 15yr Dataset (DOI 10.5281/zenodo.7967584) that can be used with the Ceffyl and PTArcade packages. Please see the GitHub page for Ceffyl/PTArcade installation details and usage information.
description: For a full author list, see the companion publication: Gabriella Agazie et al 2023 ApJL 951 L8 (DOI 10.3847/2041-8213/acdac6)
description: {"references": ["Gabriella Agazie et al 2023 ApJL 951 L8 (DOI 10.3847/2041-8213/acdac6)", "Lamb W. G., Taylor S. R. and van Haasteren R. 2023 arXiv: 2303.15442"]}
DOI: 10.6084/m9.figshare.24784075
title: Effect of a confidence-based weighted 3D point reconstruction for markerless motion capture with a reduced number of cameras

description: Markerless motion capture has been made available by the development of pose estimation algorithms that provide both an estimate of the location of body keypoints in two-dimensional images and its associated confidence. It seems relevant to use this additional information for three-dimensional (3D) point reconstruction. Yet, it has been little described, nor has its influence on 3D point reconstruction. Eight participants performed a manual material handling task, which was recorded by 10 video cameras. Each video was processed using OpenPose. Different 3D point reconstruction methods were compared: direct linear transform (DLT) and weighted DLT (wDLT), with 10 cameras and with a subset of 4 cameras. For each keypoint, confidence and position deviation from the 3D reconstructed point with 10 cameras projected in the image reference frame were assessed. Results suggest that using confidence information reduces both average and maximum 3D distance between 3D points reconstructed with 4 and 10 cameras.
DOI: 10.6084/m9.figshare.24784075.v1
title: Effect of a confidence-based weighted 3D point reconstruction for markerless motion capture with a reduced number of cameras

description: Markerless motion capture has been made available by the development of pose estimation algorithms that provide both an estimate of the location of body keypoints in two-dimensional images and its associated confidence. It seems relevant to use this additional information for three-dimensional (3D) point reconstruction. Yet, it has been little described, nor has its influence on 3D point reconstruction. Eight participants performed a manual material handling task, which was recorded by 10 video cameras. Each video was processed using OpenPose. Different 3D point reconstruction methods were compared: direct linear transform (DLT) and weighted DLT (wDLT), with 10 cameras and with a subset of 4 cameras. For each keypoint, confidence and position deviation from the 3D reconstructed point with 10 cameras projected in the image reference frame were assessed. Results suggest that using confidence information reduces both average and maximum 3D distance between 3D points reconstructed with 4 and 10 cameras.
DOI: 10.5281/zenodo.10344497
title: Swift/BAT-GUANO upper limits fits map for S231206ca
DOI: 10.5281/zenodo.10344496
title: Swift/BAT-GUANO upper limits fits map for S231206ca
DOI: 10.5281/zenodo.10344231
title: OpenFF POPC/CHOL 20% Simulation (32/8:32/8 at 298K)

description: 64 lipid bilayer (32:32) with 16 cholesterol molecules (8:8) and hydrated with 4000 SPC/E waters. Equilibrated for 100 ns and simulated for 200 ns at 298K. Full input and output from: https://github.com/PEFrankel/OpenFF_Bilayer.
Parameters generated by OpenFF Toolkit (Mobley et al., 2018) + Interchange (https://zenodo.org/records/8229243). Forcefield line: 'openff-2.1.0.offxml' from OpenFF Sage (Boothroyd et al., 2023 / https://zenodo.org/records/7889050)
DOI: 10.5281/zenodo.10344232
title: OpenFF POPC/CHOL 20% Simulation (32/8:32/8 at 298K)

description: 64 lipid bilayer (32:32) with 16 cholesterol molecules (8:8) and hydrated with 4000 SPC/E waters. Equilibrated for 100 ns and simulated for 200 ns at 298K. Full input and output from: https://github.com/PEFrankel/OpenFF_Bilayer.
Parameters generated by OpenFF Toolkit (Mobley et al., 2018) + Interchange (https://zenodo.org/records/8229243). Forcefield line: 'openff-2.1.0.offxml' from OpenFF Sage (Boothroyd et al., 2023 / https://zenodo.org/records/7889050)
DOI: 10.5281/zenodo.10344493
title: ESBMC-Solidity v7.4
DOI: 10.5281/zenodo.10344629
title: Swift/BAT-GUANO upper limits fits map for S231206cc
DOI: 10.5281/zenodo.10344628
title: Swift/BAT-GUANO upper limits fits map for S231206cc
DOI: 10.5281/zenodo.10342317
title: PUBG - Match Data

description: This dataset was generated from skihikingkevin/pubg-match-deaths. It only consists of matches where at least one player has player more than 1 game (in different matches). The data was processed using polars and converted from CSV to Parquet files. A random sample was performed (groupwise) to produce an 80/20 split.
DOI: 10.5281/zenodo.10342316
title: PUBG - Match Data

description: This dataset was generated from skihikingkevin/pubg-match-deaths. It only consists of matches where at least one player has player more than 1 game (in different matches). The data was processed using polars and converted from CSV to Parquet files. A random sample was performed (groupwise) to produce an 80/20 split.
DOI: 10.6084/m9.figshare.24774222.v1
title: AC-TileSize-100-normMethod-None-ArchR.bw

description: Development Retina
DOI: 10.5281/zenodo.10344492
title: ESBMC-Solidity v7.4
DOI: 10.5281/zenodo.10275287
title: test
DOI: 10.5281/zenodo.10275288
title: test
DOI: 10.34740/kaggle/dsv/7171531
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.6084/m9.figshare.24774222.v2
title: TileSize-100-normMethod-None-ArchR.bw

description: Development Retina
DOI: 10.5281/zenodo.10344772
title: Chess Game Dataset

description: This is the dataset for all of the chess enthusiasts and chess.com members. It has been created via the chess.com API.
Sourced from: 60,000+ Chess Game Dataset
DOI: 10.5281/zenodo.10344773
title: Chess Game Dataset

description: This is the dataset for all of the chess enthusiasts and chess.com members. It has been created via the chess.com API.
Sourced from: 60,000+ Chess Game Dataset