cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kjyd4pkzw5.2
title: Optimal policy-mix and private investment in a monetary union

description: This study investigates the interactive threshold effects of tax and monetary policies on private investment in the West African Economic and Monetary Union using a threshold-effect dynamic panel error correction model on data over the period 2000-2021. The results reveal non-linear effects of policy-mix on private investment, with optimal thresholds identified beyond which positive effects can reverse. Moreover, the impact of investment profitability varies according to policy-mix thresholds, emphasizing the importance of precise calibration of fiscal and monetary policies. This calibration should consider threshold effects and the broader macroeconomic context, including investment profitability, to optimize private investment.
DOI: 10.17632/y4cmrsdv9f.1
title: Dataset for the Comprehensive Characterisation of a Low-Frequency-Vibration Energy Harvester

description: This dataset contains the measurements of the procedure to fully characterise a novel vibration energy harvester (presented in https://doi.org/10.1016/j.apenergy.2023.120715) operating in the ultra-low-frequency range. The details of the experimental setup and fully characterization procedure can be found in: https://doi.org/10.3390/s24123813

The experimental measurements include not only the input (acceleration)–output (energy) response but also the (internal) dynamic behaviour of the system, making use of a synchronised image processing and signal acquisition system.

The result of the processed video (angular positions of the masses) and calculation of their two time derivatives by means of the Tikhonov regularization have also been included. Additionally, the calculation of the power generated in the windings has also been included.

In "Videos" folder are the recorded videos at 240fps. 
In "Measurements" folder data form each experiment can be found in different files. First column is time, second and third columns are accelerometer measurements, and the rest of the columns are the different voltages measured at each coil. 
In "Post-processed data" are the estimated angular positions (2,3,4 columns), velocities (4,5,6 columns) and accelerations (7,8,9 columns) obtained form the post-processed videos. The last column is the estimated power harvested by the device. 
The name of the file name is in line with the experiment.
DOI: 10.17632/y4cmrsdv9f.2
title: Dataset for the Parameter Identification of an Energy Harvester

description: This dataset contains the measurements of the procedure to fully characterise a novel vibration energy harvester (presented in https://doi.org/10.1016/j.apenergy.2023.120715) operating in the ultra-low-frequency range. The details of the experimental setup and fully characterization procedure can be found in: https://doi.org/10.3390/s24123813

The experimental measurements include not only the input (acceleration)–output (energy) response but also the (internal) dynamic behaviour of the system, making use of a synchronised image processing and signal acquisition system.

The result of the processed video (angular positions of the masses) and calculation of their two time derivatives by means of the Tikhonov regularization have also been included. Additionally, the calculation of the power generated in the windings has also been included.

In "Videos" folder are the recorded videos at 240fps. 
In "Measurements" folder data form each experiment can be found in different files. First column is time, second and third columns are accelerometer measurements, and the rest of the columns are the different voltages measured at each coil. 
In "Post-processed data" are the estimated angular positions (2,3,4 columns), velocities (4,5,6 columns) and accelerations (7,8,9 columns) obtained form the post-processed videos. The last column is the estimated power harvested by the device. 
The name of the file name is in line with the experiment.
DOI: 10.17632/y4cmrsdv9f.3
title: Dataset for the Identification of an Energy Harvester

description: This dataset contains the measurements of the procedure to fully characterise a novel vibration energy harvester (presented in https://doi.org/10.1016/j.apenergy.2023.120715) operating in the ultra-low-frequency range. The details of the experimental setup and fully characterization procedure can be found in: https://doi.org/10.3390/s24123813

The experimental measurements include not only the input (acceleration)–output (energy) response but also the (internal) dynamic behaviour of the system, making use of a synchronised image processing and signal acquisition system.

The result of the processed video (angular positions of the masses) and calculation of their two time derivatives by means of the Tikhonov regularization have also been included. Additionally, the calculation of the power generated in the windings has also been included.

In "Videos" folder are the recorded videos at 240fps. 
In "Measurements" folder data form each experiment can be found in different files. First column is time, second and third columns are accelerometer measurements, and the rest of the columns are the different voltages measured at each coil. 
In "Post-processed data" are the estimated angular positions (2,3,4 columns), velocities (4,5,6 columns) and accelerations (7,8,9 columns) obtained form the post-processed videos. The last column is the estimated power harvested by the device. 
The name of the file name is in line with the experiment.
DOI: 10.17632/ntpc2m29gx.1
title: Automatic Hardy and Clapham’s classification of hallux sesamoid position on foot radiographs using deep neural network

description: We developed the deep neural network model for the automatic classification of hallux sesamoid position according to Hardy and Clapham classificaion. This dataset includes the trained neural network model, the code for the development of neural network, and the validation process and statistic analysis. The article corresponds to this dataset is "Automatic Hardy and Clapham’s classification of hallux sesamoid position on foot radiographs using deep neural network" .
DOI: 10.17632/ntpc2m29gx.2
title: Automatic Hardy and Clapham’s classification of hallux sesamoid position on foot radiographs using deep neural network

description: We developed the deep neural network model for the automatic classification of hallux sesamoid position according to Hardy and Clapham classificaion. This dataset includes the trained neural network model, the application to experience the automatic classification, the code for the development of neural network, and the validation process and statistic analysis. The article corresponds to this dataset is "Automatic Hardy and Clapham’s classification of hallux sesamoid position on foot radiographs using deep neural network" .
DOI: 10.17632/6kvm94v2bs.1
title: Biologics and Small Molecules in Lichen Sclerosus: A Systematic Review

description: Lichen sclerosus (LS) is a chronic inflammatory disease characterized by hypopigmentation and skin atrophy, with often poor response to initial conventional corticosteroid therapy. This review evaluates outcomes of biologic and Janus Kinase inhibitor (JAK) therapy in LS.
DOI: 10.17632/zm8bsbpcpm.3
title: Data for: Primary Fe isotope signatures record oxidative precipitation in 3.2 Ga ferruginous siliciclastic sedimentary rocks deposited in a shallow ocean environment

description: Text-based data for all figures in the main paper and supplementary material by Suzumeji et al. to be published by Chemical Geology as "Primary Fe isotope signatures record oxidative precipitation in 3.2 Ga ferruginous siliciclastic sedimentary rocks deposited in a shallow ocean environment".
DOI: 10.17632/zm8bsbpcpm.4
title: Data for: Primary Fe isotope signatures record oxidative precipitation in 3.2 Ga ferruginous siliciclastic sedimentary rocks deposited in a shallow ocean environment

description: Text-based data for all figures in the main paper and supplementary material by Suzumeji et al. to be published by Precambrian Research as "Primary Fe isotope signatures record oxidative precipitation in 3.2 Ga ferruginous siliciclastic sedimentary rocks deposited in a shallow ocean environment".
DOI: 10.17632/zm8bsbpcpm.1
title: Data for: Primary Fe isotopic signatures record oxidative precipitation in 3.2 Ga Fe-rich siliciclastic sedimentary rocks in the Moodies Group, Barberton Greenstone Belt, South Africa

description: Text-based data for all figures in the main paper and supplementary material by Suzumeji et al. to be published by Geochimica et Cosmochimica Acta as "Primary Fe isotopic signatures record oxidative precipitation in 3.2 Ga Fe-rich siliciclastic sedimentary rocks in the Moodies Group, Barberton Greenstone Belt, South Africa".
DOI: 10.17632/zm8bsbpcpm.2
title: Data for: Primary Fe isotope signatures record oxidative precipitation in 3.2 Ga ferruginous siliciclastic sedimentary rocks deposited in a shallow ocean environment

description: Text-based data for all figures in the main paper and supplementary material by Suzumeji et al. to be published by Geochimica et Cosmochimica Acta as "Primary Fe isotope signatures record oxidative precipitation in 3.2 Ga ferruginous siliciclastic sedimentary rocks deposited in a shallow ocean environment".
DOI: 10.17632/zm8bsbpcpm.5
title: Data for: Primary Fe isotope signatures record oxidative precipitation in 3.2 Ga ferruginous siliciclastic sedimentary rocks deposited in a shallow ocean environment

description: Text-based data for all figures in the main paper and supplementary material by Suzumeji et al. to be published by Precambrian Research as "Primary Fe isotope signatures record oxidative precipitation in 3.2 Ga ferruginous siliciclastic sedimentary rocks deposited in a shallow ocean environment".
DOI: 10.17632/jh7x4gxfcf.1
title: Carbon Credit & Macaúba Palm Tree: Advancing ESG in Green Cattle Production

description: “Data for "Carbon Credit & Macaúba Palm Tree: Advancing ESG in Green Cattle Production” published by RAC-Revista de Administração Contemporânea);
DOI: 10.17632/23v73hh7r5.1
title: ITC-Net-MingledApp: A comprehensive dataset of mixed mobile application traffic for robust network traffic classification, domain adaptation, and generalization in diverse environments - Supplementary Materials

description: This repository is part of the ITC-NetMingledApp dataset, which includes network traffic data from 36 Android applications, with each capture featuring concurrent traffic from multiple applications and smartphones.
This repository contains supplementary material for the ITC-Net-MingledApp.
It includes the DetailedDescription document, and Python scripts to filter background traffic and extract PCAP file properties. It also contains documents detailing the traffic capture properties for each scenario, broken down by file and application.
DOI: 10.15468/dl.kkxfkh
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation, Material sample)",
 "DatasetKey is one of (MVZ Herp Collection (Arctos), Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (vertebrados))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (8edbbde0-055e-11d8-b850-b8a03c50a862, ff90b050-c256-11db-b71b-b8a03c50a862)",
 "TaxonKey is Pseudoeurycea aurantia Canseco-Márquez & Parra-Olea, 2003",
 "Year 1950-2024"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045442-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b98bc8
title: Occurrence Download

description: A dataset containing 10311 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adansonia digitata L."
 ]
}

 The dataset includes 10311 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045441-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ksmyfhn95y.1
title: United Farm Mortgage

description: Explore tailor-made hobby farm mortgage options with United Farm Mortgage, your dedicated partner in securing the perfect financing for your rural escape. https://unitedfarmmortgage.com/hobby-farm-mortgage-loans/
DOI: 10.17632/4b9xpz4gd3.1
title: ITC-Net-MingledApp: A comprehensive dataset of mixed mobile application traffic for robust network traffic classification, domain adaptation, and generalization in diverse environments - Tehran Dataset #2

description: This repository is part of the ITC-NetMingledApp dataset, which includes network traffic data from 36 Android applications, with each capture featuring concurrent traffic from multiple applications and smartphones.
This repository contains part #2 of the data related to the Iran-Tehran scenario. Each capture is stored in a compressed file containing the relevant PCAP files of the associated applications. 
The PCAP files are named according to a convention: {TimeStamp}_{Application Name}{Download-Upload Speed}.pcap
Part #1 of Iran-Tehran scenario is in the Tehran Dataset #1 (https://doi.org/10.17632/9frgkybxhn.1) repository.
DOI: 10.17632/n7b9xxgw6v.1
title: Assessing the Effects of Whole-Body Vibrations on Powered Wheelchair Users’ Health and Comfort: Introducing a Novel Dataset

description: Files descriptions:
- vibrationData.rar -&gt; All the vibration data for all users (compressed)
- vibrationData -&gt; All the vibration data for all users

Data Tree
 vibrationData / User1/
 readMe
 Back/
 data00
 data01
 Feet/
 data00
 data01
 Seat/
 data00
 data01
 data.rar/ User2/
 .
 .
 .


readMe-&gt; users' weights and heights
 -&gt; start and end time for each terrain type (tarmac, tiled concrete, pavement bricks, tiled floor, carpet floor)

data00,01,..-&gt; .csv/.xlsx file
 -&gt; sec, imu_time(ms), imu_time_diff(ms), ax, ay, az, gx, gy, gz, accAngleX, accAngleY, compX, compY, kalmanX, kalmanY

The collected data includes the following parameters: time in seconds, IMU timestamp in milliseconds, time difference between consecutive IMU samples in milliseconds, acceleration values in the x, y, and z directions (ax, ay, az), gyroscope readings in the x, y, and z directions (gx, gy, gz), accelerometer angle readings in the x and y directions (accAngleX, accAngleY), complementary filter readings in the x and y directions (compX, compY), and Kalman filter readings in the x and y directions (kalmanX, kalmanY).




Paper:
E. Mohamed, K. Sirlantzis, G. Howells and J. Dib, "Investigation of Vibration and User Comfort for Powered Wheelchairs," in IEEE Sensors Letters, vol. 6, no. 2, pp. 1-4, Feb. 2022, Art no. 2500204, doi: 10.1109/LSENS.2022.3147740.
DOI: 10.17632/n7b9xxgw6v.2
title: Measuring Whole-Body Vibrations on Powered Wheelchair Users: Introducing a Novel Dataset

description: Files descriptions:
- vibrationData.rar -&gt; All the vibration data for all users (compressed)
- vibrationData -&gt; All the vibration data for all users

Data Tree
 vibrationData / User1/
 readMe
 Back/
 data00
 data01
 Feet/
 data00
 data01
 Seat/
 data00
 data01
 data.rar/ User2/
 .
 .
 .


readMe-&gt; users' weights and heights
 -&gt; start and end time for each terrain type (tarmac, tiled concrete, pavement bricks, tiled floor, carpet floor)

data00,01,..-&gt; .csv/.xlsx file
 -&gt; sec, imu_time(ms), imu_time_diff(ms), ax, ay, az, gx, gy, gz, accAngleX, accAngleY, compX, compY, kalmanX, kalmanY

The collected data includes the following parameters: time in seconds, IMU timestamp in milliseconds, time difference between consecutive IMU samples in milliseconds, acceleration values in the x, y, and z directions (ax, ay, az), gyroscope readings in the x, y, and z directions (gx, gy, gz), accelerometer angle readings in the x and y directions (accAngleX, accAngleY), complementary filter readings in the x and y directions (compX, compY), and Kalman filter readings in the x and y directions (kalmanX, kalmanY).




Paper:
E. Mohamed, K. Sirlantzis, G. Howells and J. Dib, "Investigation of Vibration and User Comfort for Powered Wheelchairs," in IEEE Sensors Letters, vol. 6, no. 2, pp. 1-4, Feb. 2022, Art no. 2500204, doi: 10.1109/LSENS.2022.3147740.
DOI: 10.17632/dgn9pfpgny.1
title: Supplemental Tables for Bertens et al. (2024): Dietary Intervention During Heat Stress Manuscript

description: Supplemental tables for Bertens et al. (2024): The effects of dietary cation-anion difference and dietary buffer for lactating dairy cattle under mild heat stress with night cooling.
DOI: 10.17632/zsffy3j9y6.1
title: ITC-Net-MingledApp: A comprehensive dataset of mixed mobile application traffic for robust network traffic classification, domain adaptation, and generalization in diverse environments - Iraq Dataset

description: This repository is part of the ITC-NetMingledApp dataset, which includes network traffic data from 36 Android applications, with each capture featuring concurrent traffic from multiple applications and smartphones.
This repository contains data related to the Iraq-Baghdad scenario and contain traffic data from 23 Android applications. Each capture is stored in a compressed file containing the relevant PCAP files of the associated applications. 
The PCAP files are named according to a convention: {TimeStamp}_{Application Name}{Download-Upload Speed}.pcap
DOI: 10.26180/27176523
title: PINGU Weights

description: These are the weights for Perivascular space Identification Nnunet for Generalised Usage (PINGU), which segments perivascular spaces on T1-weighted MRI images.<br>preprint:https://arxiv.org/abs/2405.08337Github:https://github.com/iBrain-Lab/PINGU/tree/main
DOI: 10.26180/27176523.v1
title: PINGU Weights

description: These are the weights for Perivascular space Identification Nnunet for Generalised Usage (PINGU), which segments perivascular spaces on T1-weighted MRI images.<br>preprint:https://arxiv.org/abs/2405.08337Github:https://github.com/iBrain-Lab/PINGU/tree/main
DOI: 10.15468/dl.6faw5y
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation, Material sample)",
 "DatasetKey is one of (Anfibiofauna endémica frente al cambio climático: análisis de sensibilidad e incertidumbre, MVZ Herp Collection (Arctos), MSB Amphibian and Reptile Collection (Arctos), Inventario herpetofaunístico del valle semiárido de Tehuacán-Cuicatlán (continuación), UCM Amphibian and Reptile Collection (Arctos), Herpetofauna de la reserva de la biósfera Valle de Tehuacán-Cuicatlán (etapa final), University of Michigan Museum of Zoology, Division of Reptiles & Amphibians, Actualización de la base de datos de la colección nacional de anfibios y reptiles (CNAR), KUBI Herpetology Collection, UTA Amphibians)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (ff90b050-c256-11db-b71b-b8a03c50a862, 8edbbde0-055e-11d8-b850-b8a03c50a862, 939ed180-aa7b-11db-8edf-b8a03c50a862, 4cadac10-3e7b-11d9-8439-b8a03c50a862, 6ea87510-0561-11d8-b851-b8a03c50a862, b554c320-0560-11d8-b851-b8a03c50a862, d003dd60-94fa-11da-a99f-b8a03c50a862)",
 "TaxonKey is Pseudoeurycea cochranae (Taylor, 1943)",
 "Year 1950-2024"
 ]
}

 The dataset includes 261 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045443-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbefxu
title: Occurrence Download

description: A dataset containing 1014 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Listera caurina Piper"
 ]
}

 The dataset includes 1014 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045444-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9frgkybxhn.1
title: ITC-Net-MingledApp: A comprehensive dataset of mixed mobile application traffic for robust network traffic classification, domain adaptation, and generalization in diverse environments - Tehran Dataset #1

description: This repository is part of the ITC-NetMingledApp dataset, which includes network traffic data from 36 Android applications, with each capture featuring concurrent traffic from multiple applications and smartphones.
This repository contains part #1 of the data related to the Iran-Tehran scenario. Each capture is stored in a compressed file containing the relevant PCAP files of the associated applications. 
The PCAP files are named according to a convention: {TimeStamp}_{Application Name}{Download-Upload Speed}.pcap
Part #2 of Iran-Tehran scenario is in the Tehran Dataset #2 (https://doi.org/10.17632/zsffy3j9y6.1) repository.
DOI: 10.17632/mxd3kvsrcr.1
title: Diseño de un sillín de motocicletas con tecnología de confort máximo y aire 3D transpirable: Vigilancia tecnológica

description: La vigilancia tecnológica aplicada al diseño de sillas de motocicletas permite identificar una serie de innovaciones emergentes que están transformando la experiencia de conducción, con un enfoque en la ergonomía, el confort y la seguridad. En este sentido, uno de los avances más destacados es el uso de materiales inteligentes y adaptativos, como las espumas viscoelásticas y los geles de alta densidad. Estos materiales tienen la capacidad de ajustarse a la forma del cuerpo del conductor, distribuyendo de manera uniforme el peso y reduciendo los puntos de presión. Esta tecnología no solo mejora el confort, sino que también disminuye el riesgo de desarrollar problemas musculoesqueléticos asociados con el uso prolongado de motocicletas.
Otro avance importante es la incorporación de sistemas de suspensión integrados en los asientos, diseñados para absorber las vibraciones generadas durante la conducción. Esta innovación es especialmente relevante en zonas rurales como el departamento del Magdalena, donde las condiciones de las vías secundarias y terciarias pueden aumentar el impacto de las vibraciones sobre el cuerpo del conductor. La ventilación y transpirabilidad de los asientos también ha sido un área de gran innovación, con el desarrollo de tecnología de aire 3D que permite un flujo constante de aire alrededor del cuerpo del conductor. Esto es particularmente útil en climas cálidos, donde la acumulación de calor y sudor puede generar incomodidad y, en casos extremos, irritación de la piel. Los asientos equipados con esta tecnología están diseñados para mejorar la transpirabilidad, proporcionando un mayor confort en condiciones climáticas adversas. La tendencia hacia la personalización y ajustabilidad de los asientos está ganando terreno en la industria, permitiendo que los conductores modifiquen la altura, el ángulo y la firmeza del asiento según sus necesidades específicas. Esta característica es especialmente importante para mejorar la ergonomía, ya que permite adaptarse a diferentes tipos de cuerpos y estilos de conducción. Un asiento adaptable puede reducir significativamente el riesgo de lesiones musculoesqueléticas, ya que facilita la adopción de una postura correcta durante la conducción.
Otra tendencia emergente es la integración de sensores inteligentes en los asientos para monitorear la postura del conductor y su estado físico durante la conducción. Estos sensores pueden detectar posiciones incorrectas y alertar al conductor para que ajuste su postura, lo que contribuye a mejorar tanto la seguridad como el confort.