cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2024.110
title: Detection and correction of defective relative humidity data collected from the greenhouse environment using nested Kalman filters with standard deviation analysis

description: Humidity sensors are critical in maintaining optimal conditions in greenhouse environments, but they are prone to data inaccuracies caused by sensor drift and severe environmental conditions. These inaccuracies, if left unaddressed, can lead to suboptimal crop growth and resource mismanagement. Detecting and correcting such faulty data is challenging, especially in the absence of labeled datasets to classify sensor readings as normal, defective, or severely defective. This research tackles this issue by proposing a novel method based on nested Kalman filtering to improve the accuracy of humidity sensor data in greenhouses.The proposed method integrates two layers of Kalman filters: an inner filter, which leverages data from neighboring sensors to generate predictions, and an outer filter, which refines these predictions using measurements from the evaluated sensor. To address severely defective cases, interpolated data from neighboring sensors is incorporated. A statistical analysis of the sensor data's standard deviation is employed to classify readings into three categories: normal, defective, and severely defective. For normal readings, the sensor data is directly used. For defective and severely defective readings, corrections are applied using the nested Kalman filters.Experimental results demonstrated the method's effectiveness in two scenarios: one where the sensor exhibited all three data cases and another with only normal and defective data. In these scenarios, the proposed method achieved substantial improvements, reducing mean absolute deviation (MAD) by 75.71% and 50.93%, and root mean square error (RMSE) by 66.41% and 41.80%, respectively, compared to the ground truth. These results highlight the method's capability to improve data accuracy even in challenging conditions where labeled data is unavailable.The findings of this research contribute to advancing sensor fault detection and correction methodologies by offering a robust and practical solution for improving data quality in greenhouse environments. The academic contribution lies in integrating nested Kalman filters with a statistical classification framework, which can be adapted for other sensor networks or domains requiring reliable environmental monitoring. This work has significant implications for precision agriculture, enabling more efficient resource management and optimized growing conditions, thereby enhancing productivity and sustainability.
DOI: 10.15468/dl.5u59b3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IDN.34.6_1",
 "IucnRedListCategory is CR",
 "Year 2022-2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011080-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xn7mx6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IDN.34.6_1",
 "IucnRedListCategory is EN",
 "Year 2022-2025"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011081-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/adf1e1a8-9474-4630-a9ca-682a8359449c
title: Data underlying the publication: Mechanically Stable Kondo Resonance in an Organic Radical Molecular Junction

description: Data and scripts used in the publication: Mechanically Stable Kondo Resonance in Organic Molecular Junctions. An MCBJ setup was used to measure two organic radical molecules with different substitutions of the central benzene ring of the molecular backbone at both room- and low-temperature. The goal was to investigate the impact of quantum interference in the backbone on spin-related phenomena. At room-temperature, large sets of breaking traces were collected at a constant bias voltage and histograms were constructed. At low-temperature, current-voltage characteristics were recorded while increasing the electrode separation. We find that the configuration of the molecular backbone affects the coupling of the radical to the electrode.
DOI: 10.4121/adf1e1a8-9474-4630-a9ca-682a8359449c.v1
title: Data underlying the publication: Mechanically Stable Kondo Resonance in an Organic Radical Molecular Junction

description: Data and scripts used in the publication: Mechanically Stable Kondo Resonance in Organic Molecular Junctions. An MCBJ setup was used to measure two organic radical molecules with different substitutions of the central benzene ring of the molecular backbone at both room- and low-temperature. The goal was to investigate the impact of quantum interference in the backbone on spin-related phenomena. At room-temperature, large sets of breaking traces were collected at a constant bias voltage and histograms were constructed. At low-temperature, current-voltage characteristics were recorded while increasing the electrode separation. We find that the configuration of the molecular backbone affects the coupling of the radical to the electrode.
DOI: 10.15468/dl.xa3zj6
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calicnemia Strand, 1928"
 ]
}

 The dataset includes 511 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011083-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbubqf
title: Occurrence Download

description: A dataset containing 43262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "TaxonKey is Poaceae"
 ]
}

 The dataset includes 43262 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011082-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/f5880eb4-8f28-4ff7-8ce1-a36249ac831a
title: Code underlying: Wind and DSD Estimator [WiDSE] using the Doppler Power Spectrum of Weather Radars

description: This is a software package containing the code of a novel radial wind and the raindrop size distribution (DSD) parameter estimation using the power spectral densities of simulated weather radar echoes in time. The details can be found in the file named README.pdf in the repository.The repository contains the following:The code to simulate realistic weather radar echoes in time as a function of the radial wind (mean wind and turbulence) and gamma raindrop size distribution (DSD) parameters.The code also contains the inverse problem of retrieving these parameters using a novel estimation technique.The code can be used to make parameter sweeps with parameters such as the wind spectral width, the number of echoes, and the number of Doppler Power Spectral Density (PSD) measurements.The data used in the code is generated upon use synthetically using realistic numerical/ statistical models of weather radar echoes in the time domain. The parameters can be changed according to the application's requirements.
DOI: 10.4121/f5880eb4-8f28-4ff7-8ce1-a36249ac831a.v1
title: Code underlying: Wind and DSD Estimator [WiDSE] using the Doppler Power Spectrum of Weather Radars

description: This is a software package containing the code of a novel radial wind and the raindrop size distribution (DSD) parameter estimation using the power spectral densities of simulated weather radar echoes in time. The details can be found in the file named README.pdf in the repository.The repository contains the following:The code to simulate realistic weather radar echoes in time as a function of the radial wind (mean wind and turbulence) and gamma raindrop size distribution (DSD) parameters.The code also contains the inverse problem of retrieving these parameters using a novel estimation technique.The code can be used to make parameter sweeps with parameters such as the wind spectral width, the number of echoes, and the number of Doppler Power Spectral Density (PSD) measurements.The data used in the code is generated upon use synthetically using realistic numerical/ statistical models of weather radar echoes in the time domain. The parameters can be changed according to the application's requirements.
DOI: 10.15468/dl.hjnvrf
title: Occurrence Download

description: A dataset containing 1153 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lemur catta Linnaeus, 1758"
 ]
}

 The dataset includes 1153 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011085-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10657990
title: Sentinel-2 Imagery of Behsud District, Afghanistan
DOI: 10.25345/c51j97m2p
title: MassIVE MSV000097031 - Green synthesis of silver nanoparticles using padina tetrastromatica against malaria and deciphering the mechanism through machine learning driven metabolomics and network pharmacology.
title: Metabolomics was carried out to identify metabolic alterations using machine-learning models in both the infected and Ag-PT-treated mice models.
DOI: 10.25443/smu-za.28210889
title: Ongoing strategies to improve the management of upper respiratory tract infections and reduce inappropriate antibiotic use particularly among lower and middle-income countries: findings and implications for the future

description: <b>Introduction</b> Antibiotics are indispensable to maintaining human health; however, their overuse has resulted in resistant organisms, increasing morbidity, mortality and costs. Increasing antimicrobial resistance (AMR) is a major public health threat, resulting in multiple campaigns across countries to improve appropriate antimicrobial use. This includes addressing the overuse of antimicrobials for self-limiting infections, such as upper respiratory tract infections (URTIs), particularly in lower- and middle-income countries (LMICs) where there is the greatest inappropriate use and where antibiotic utilization has increased the most in recent years. Consequently, there is a need to document current practices and successful initiatives in LMICs to improve future antimicrobial use.<b>Methodology</b>Documentation of current epidemiology and management of URTIs, particularly in LMICs, as well as campaigns to improve future antimicrobial use and their influence where known.<b>Results</b>Much concern remains regarding the prescribing and dispensing of antibiotics for URTIs among LMICs. This includes considerable self-purchasing, up to 100% of pharmacies in some LMICs. However, multiple activities are now ongoing to improve future use. These incorporate educational initiatives among all key stakeholder groups, as well as legislation and other activities to reduce self-purchasing as part of National Action Plans (NAPs). Further activities are still needed however. These include increased physician and pharmacist education, starting in medical and pharmacy schools; greater monitoring of prescribing and dispensing practices, including the development of pertinent quality indicators; and targeted patient information and health education campaigns. It is recognized that such activities are more challenging in LMICs given more limited resources and a lack of healthcare professionals.<b>Conclusion</b>Initiatives will grow across LMICs to reduce inappropriate prescribing and dispensing of antimicrobials for URTIs as part of NAPs and other activities, and these will be monitored.
DOI: 10.25443/smu-za.28210889.v1
title: Ongoing strategies to improve the management of upper respiratory tract infections and reduce inappropriate antibiotic use particularly among lower and middle-income countries: findings and implications for the future

description: <b>Introduction</b> Antibiotics are indispensable to maintaining human health; however, their overuse has resulted in resistant organisms, increasing morbidity, mortality and costs. Increasing antimicrobial resistance (AMR) is a major public health threat, resulting in multiple campaigns across countries to improve appropriate antimicrobial use. This includes addressing the overuse of antimicrobials for self-limiting infections, such as upper respiratory tract infections (URTIs), particularly in lower- and middle-income countries (LMICs) where there is the greatest inappropriate use and where antibiotic utilization has increased the most in recent years. Consequently, there is a need to document current practices and successful initiatives in LMICs to improve future antimicrobial use.<b>Methodology</b>Documentation of current epidemiology and management of URTIs, particularly in LMICs, as well as campaigns to improve future antimicrobial use and their influence where known.<b>Results</b>Much concern remains regarding the prescribing and dispensing of antibiotics for URTIs among LMICs. This includes considerable self-purchasing, up to 100% of pharmacies in some LMICs. However, multiple activities are now ongoing to improve future use. These incorporate educational initiatives among all key stakeholder groups, as well as legislation and other activities to reduce self-purchasing as part of National Action Plans (NAPs). Further activities are still needed however. These include increased physician and pharmacist education, starting in medical and pharmacy schools; greater monitoring of prescribing and dispensing practices, including the development of pertinent quality indicators; and targeted patient information and health education campaigns. It is recognized that such activities are more challenging in LMICs given more limited resources and a lack of healthcare professionals.<b>Conclusion</b>Initiatives will grow across LMICs to reduce inappropriate prescribing and dispensing of antimicrobials for URTIs as part of NAPs and other activities, and these will be monitored.
DOI: 10.15468/dl.82n2cc
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IDN.34_1",
 "IucnRedListCategory is CR",
 "Year 2022-2025"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011086-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugrzvm
title: Occurrence Download

description: A dataset containing 2072 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eulemur fulvus (É.Geoffroy Saint-Hilaire, 1796)"
 ]
}

 The dataset includes 2072 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011087-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4ggnh
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemichromis guttatus Günther, 1862"
 ]
}

 The dataset includes 250 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011088-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14799350
title: Connectivity performance metrics Grain Automate GRDC Northern Region farm 2024-11 (1st of 2 uploads)

description: A collection of connectivity performance metrics, including data usage, location mapping, uptime/downtime and wan quality, captured on a device-basis at each of 3 farms participating in the Grain Automate Project 1 - peer-to-peer learning through the development of autonomous working farms, for the month of November 2024
DOI: 10.5281/zenodo.14799533
title: Connectivity performance metrics Grain Automate GRDC Southern Region farm 2024-11 (2nd of 2 uploads)

description: A collection of connectivity performance metrics including data usage, location mapping, uptime/downtime, wan quality, captured on a device-basis at each of 3 farms participating in the Grain Automate Project 1 - peer-to-peer learning through the development of autonomous working farms, for the month of November 2024.
DOI: 10.5281/zenodo.14799422
title: Connectivity performance metrics Grain Automate GRDC Northern Region farm 2024-11 (2nd of 2 uploads)

description: A collection of connectivity performance metrics including data usage, location mapping, uptime/downtime, wan quality, captured on a device-basis at each of 3 farms participating in the Grain Automate Project 1 - peer-to-peer learning through the development of autonomous working farms, for the month of November 2024.
DOI: 10.5281/zenodo.14799534
title: Connectivity performance metrics Grain Automate GRDC Southern Region farm 2024-11 (2nd of 2 uploads)

description: A collection of connectivity performance metrics including data usage, location mapping, uptime/downtime, wan quality, captured on a device-basis at each of 3 farms participating in the Grain Automate Project 1 - peer-to-peer learning through the development of autonomous working farms, for the month of November 2024.
DOI: 10.6084/m9.figshare.28340390
title: Heritage Tourism and Sustainability.sav

description: This study explores the interactive role of message framing and construal level theory (CLT) in shaping pro-sustainable behavioral intentions in heritage tourism. Drawing on CLT, we examine how psychological distance influences mental construal, affecting potential tourists’ responses to sustainability messaging. Using a 2 × 2 experimental design (gain vs. loss framing × proximal vs. distant construal), we investigate the effectiveness of different message combinations in promoting sustainable behaviors among university students in a heritage tourism context. Our findings reveal that loss-framed messages with proximal construal and gain-framed messages with distant construal are most effective in fostering pro-sustainable behavior intentions. Furthermore, we identify sense of responsibility as a key mediator in this relationship and nostalgia proneness as a moderator, amplifying the emotional impact of sustainability messages through the mediator. These results offer theoretical contributions to message framing and CLT literature while providing practical insights for heritage site managers and policymakers to enhance sustainable tourism practices through tailored communication strategies.
DOI: 10.5281/zenodo.14799608
title: Connectivity performance metrics Grain Automate GRDC Western Region farm 2024-11 (1st of 2 uploads)

description: A collection of connectivity performance metrics, including data usage, location mapping, uptime/downtime, wan quality, captured on a device-basis at each of 3 farms participating in the Grain Automate Project 1 - peer-to-peer learning through the development of autonomous working farms, for the month of November 2024.
DOI: 10.5281/zenodo.14799609
title: Connectivity performance metrics Grain Automate GRDC Western Region farm 2024-11 (1st of 2 uploads)

description: A collection of connectivity performance metrics, including data usage, location mapping, uptime/downtime, wan quality, captured on a device-basis at each of 3 farms participating in the Grain Automate Project 1 - peer-to-peer learning through the development of autonomous working farms, for the month of November 2024.
DOI: 10.5281/zenodo.14799480
title: Connectivity performance metrics Grain Automate GRDC Southern Region farm 2024-11 (1st of 2 uploads)

description: A collection of connectivity performance metrics including data usage, location mapping, uptime/downtime, wan quality, captured on a device-basis at each of 3 farms participating in the Grain Automate Project 1 - peer-to-peer learning through the development of autonomous working farms, for the month of November 2024.
DOI: 10.5281/zenodo.14799667
title: Connectivity performance metrics Grain Automate GRDC Western Region farm 2024-11 (2nd of 2 uploads)

description: A collection of connectivity performance metrics including data usage, location mapping, uptime/downtime, wan quality, captured on a device-basis at each of 3 farms participating in the Grain Automate Project 1 - peer-to-peer learning through the development of autonomous working farms for the month of November 2024.
DOI: 10.21227/arz6-vh16
title: Econometric Analysis of Gender Presence and Performance of Women in the Workplace in Cameroon (Sub-Saharan Africa)

description: This study research paper investigates how gender discrimination affects corporate performance in Cameroon. Data from the Cameroon Enterprise Survey in 2016 by the World Bank Group and data collected from March 6 to 23rd, 2023, in Douala and Yaoundé, as well as 757 managers' responses, were utilized.  The analysis focused on three organizational levels: employees, management, and business ownership. This study used a mixed method of descriptive and econometric analysis. The results of this study revealed a positive and significant relationship between the presence of women in the workforce and performance. This result is attributed to the improvement in the performance of enterprises with appreciable participation of women in the workforce, management, and ownership levels, specifically in the tourism industry, arts and crafts, textiles, general merchandising, and distribution, which require less training and funding, which are the principal factors of discrimination against women and girls in Cameroon. Furthermore, the turnover of businesses owned and managed by women and those owned/operated by men shows successful growth compared to companiesof similar sizes.
DOI: 10.5281/zenodo.14799481
title: Connectivity performance metrics Grain Automate GRDC Southern Region farm 2024-11 (1st of 2 uploads)

description: A collection of connectivity performance metrics including data usage, location mapping, uptime/downtime, wan quality, captured on a device-basis at each of 3 farms participating in the Grain Automate Project 1 - peer-to-peer learning through the development of autonomous working farms, for the month of November 2024.
DOI: 10.5281/zenodo.14799351
title: Connectivity performance metrics Grain Automate GRDC Northern Region farm 2024-11 (1st of 2 uploads)

description: A collection of connectivity performance metrics, including data usage, location mapping, uptime/downtime and wan quality, captured on a device-basis at each of 3 farms participating in the Grain Automate Project 1 - peer-to-peer learning through the development of autonomous working farms, for the month of November 2024
DOI: 10.5281/zenodo.14799423
title: Connectivity performance metrics Grain Automate GRDC Northern Region farm 2024-11 (2nd of 2 uploads)

description: A collection of connectivity performance metrics including data usage, location mapping, uptime/downtime, wan quality, captured on a device-basis at each of 3 farms participating in the Grain Automate Project 1 - peer-to-peer learning through the development of autonomous working farms, for the month of November 2024.
DOI: 10.5281/zenodo.14799668
title: Connectivity performance metrics Grain Automate GRDC Western Region farm 2024-11 (2nd of 2 uploads)

description: A collection of connectivity performance metrics including data usage, location mapping, uptime/downtime, wan quality, captured on a device-basis at each of 3 farms participating in the Grain Automate Project 1 - peer-to-peer learning through the development of autonomous working farms for the month of November 2024.