cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7828870
title: Models of the chloroquine resistance transporter from the human malaria parasite Plasmodium falciparum

description: The directory contains models of the chloroquine resistance transporter from the human malaria parasite Plasmodium falciparum (PfCRT) in three different conformations (open-to-vacuole, occluded and open-to-cytosol) and the systems used to start molecular dynamics simulations with these models. Files:<br> model_occluded.pdb: structural model of PfCRT in the occluded state<br> model_open-cytosol.pdb: structural model of PfCRT in the open-to-cytosol state<br> model_open-vacuole.pdb: structural model of PfCRT in the open-to-vacuole state<br> system_occluded.pdb: system containing PfCRT (occluded state, E207 deprotonated) embedded in a lipid membrane<br> system_open-cytosol.pdb: system containing PfCRT (open-to-cytosol state, E207 deprotonated) embedded in a lipid membrane<br> system_open-vacuole.pdb: system containing PfCRT (open-to-vacuole state, E207 deprotonated) embedded in a lipid membrane Further details about the methods to model the conformations and to build the systems can be found in the publication "pH-dependence of the Plasmodium falciparum chloroquine resistance transporter is linked to the transport cycle" (to be available soon).
DOI: 10.5281/zenodo.7828869
title: Models of the chloroquine resistance transporter from the human malaria parasite Plasmodium falciparum

description: The directory contains models of the chloroquine resistance transporter from the human malaria parasite Plasmodium falciparum (PfCRT) in three different conformations (open-to-vacuole, occluded and open-to-cytosol), the systems used to start molecular dynamics simulations with these models and the raw data obtained from the molecular dynamics simulations. Details about the modeling and simulations can be found in the paper:<br> pH-dependence of the Plasmodium falciparum chloroquine resistance transporter is linked to the transport cycle<br> Fiona Berger, Guillermo Gomez, Cecilia P. Sanchez, Britta Posch, Gabrielle Planelles, Farzin Sohraby, Ariane Nunes-Alves, and Michael Lanzer<br> (to be available soon)
DOI: 10.5281/zenodo.8042801
title: Models of the chloroquine resistance transporter from the human malaria parasite Plasmodium falciparum

description: The directory contains models of the chloroquine resistance transporter from the human malaria parasite Plasmodium falciparum (PfCRT) in three different conformations (open-to-vacuole, occluded and open-to-cytosol), the systems used to start molecular dynamics simulations with these models and the raw data obtained from the molecular dynamics simulations. Details about the modeling and simulations can be found in the paper:<br> pH-dependence of the Plasmodium falciparum chloroquine resistance transporter is linked to the transport cycle<br> Fiona Berger, Guillermo Gomez, Cecilia P. Sanchez, Britta Posch, Gabrielle Planelles, Farzin Sohraby, Ariane Nunes-Alves, and Michael Lanzer<br> (to be available soon)
DOI: 10.34740/kaggle/dsv/5938765
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.8042792
title: Antibiofilm testing of nanomaterials (seminar presentation)

description: In the experiment, potential composite nanomaterials were tested for the effectiveness of of the antibiofilm against the bacterial culture of <em>S. aureus.</em>
DOI: 10.5281/zenodo.8042791
title: Antibiofilm testing of nanomaterials (seminar presentation)

description: In the experiment, potential composite nanomaterials were tested for the effectiveness of of the antibiofilm against the bacterial culture of <em>S. aureus.</em>
DOI: 10.6073/pasta/1e88889b4ff51b073893289c851135aa
title: Long-Term Field Research Sites at Harvard Forest since 1937

description: The Harvard Forest is an iconic field station, hosting hundreds of field-based studies since it was founded in 1907. Site-based, long-term research increased sharply starting in 1988, when Harvard Forest became a Long-Term Ecological Research Site. This dataset documents the locations of most long-term research studies initiated since 1988; a few studies that began earlier and are still active are also included. Short-term studies, or studies that focus on sampling individual organisms, are not included.
DOI: 10.25403/upresearchdata.22105145.v1
title: Nitrogen removal experiments for phytoremediation tank

description: This dataset contains the measured values obtained from a phetoremediation vessel (bench scale). The plant within the vessel Lemna minor L., has the capacity to take up nutrient ions as the plant grows and increases its biomass. The nitrate uptake (the nitrogen species selected to test the removal capability) is propotional to the amount of acid used to reduce the pH level in the vessel back to the desired setpoint at which the medium is controlled at. Included in the dataset is the measured mass amounts of the plant, the measured pH in the vessel and the measured nitrate concentration at a particular time. In Run 1 to Run 3, the vessel was operated in batches. The initial mat density varied: the vessel in Run 1 was very dense and Run 2 and Run 3 were inoculated below the full capacity of 200 grams per square metre (surface area). In Run 4 to Run 6, the vessel was operated continuosly beyond the full capacity of the vessel.
DOI: 10.25403/upresearchdata.22105145
title: Nitrogen removal experiments for phytoremediation tank

description: This dataset contains the measured values obtained from a phetoremediation vessel (bench scale). The plant within the vessel Lemna minor L., has the capacity to take up nutrient ions as the plant grows and increases its biomass. The nitrate uptake (the nitrogen species selected to test the removal capability) is propotional to the amount of acid used to reduce the pH level in the vessel back to the desired setpoint at which the medium is controlled at. Included in the dataset is the measured mass amounts of the plant, the measured pH in the vessel and the measured nitrate concentration at a particular time. In Run 1 to Run 3, the vessel was operated in batches. The initial mat density varied: the vessel in Run 1 was very dense and Run 2 and Run 3 were inoculated below the full capacity of 200 grams per square metre (surface area). In Run 4 to Run 6, the vessel was operated continuosly beyond the full capacity of the vessel.
DOI: 10.5281/zenodo.7054416
title: Data (corrected spectra per pixels) from "Artificial reefs efficiency changes among types as revealed by underwater hyperspectral imagery"

description: open access data related to the paper "<strong>Artificial reefs efficiency changes among types as revealed by underwater hyperspectral imagery</strong>" Riera E., Ungerman M., Pey A., Rigot G., Hubas C., Rossi F. (under revision to Restoration Ecology) pixels_corrected_spectra.npy: data matrix of the corrected spectra for each pixels wavelenghts.npy: the vector of the wavelengths pixels_metada.csv: metadata related the corrected spectra for each pixels To be processed on python for further statistical analyses. script available on github: https://github.com/ELI-RIERA/HYPER3D
DOI: 10.5281/zenodo.7054415
title: Data (corrected spectra per pixels) from "Artificial reefs efficiency changes among types as revealed by underwater hyperspectral imagery"

description: open access data related to the paper "<strong>Artificial reefs efficiency changes among types as revealed by underwater hyperspectral imagery</strong>" Riera E., Ungerman M., Pey A., Rigot G., Hubas C., Rossi F. (under revision to Restoration Ecology) pixels_corrected_spectra.npy: data matrix of the corrected spectra for each pixels wavelenghts.npy: the vector of the wavelengths pixels_metada.csv: metadata related the corrected spectra for each pixels To be processed on python for further statistical analyses. script available on github: https://github.com/ELI-RIERA/HYPER3D
DOI: 10.15128/r1qz20ss572
title: Revisiting the Van Vleck second moment for characterizing molecular motion in organic solids [dataset]

description: Script for calculating dipolar 2nd moments under molecular motion is published in the GitHub repository: https://github.com/CCP-NC/dipolar_averages
description: Van Vleck's classic theory of the second moment of lineshapes in 1H nuclear magnetic resonance (NMR) is reworked in a form that allows the effect of rapid molecular motion on second moments to be calculated in a semi-analytical fashion. This is much more efficient than existing approaches, and also extends previous analyses of (non-dynamic) dipolar networks in terms of site-specific root-sum-square dipolar couplings. The non-local nature of the second moment means that it can discriminate between overall motions that are difficult to discriminate using alternative approaches, such as measurements of NMR relaxation. The value of reviving second moment studies is illustrated on the plastic solids diamantane and triamantane. In the case of triamantane, straightforward measurements of 1H lineshapes on milligram samples show that the molecules in the higher temperature phase undergo multi-axis jumps, information that is not accessible either to diffraction studies or alternative NMR approaches. The efficiency of the computational methods means that the second moments can be calculated using a readily extensible and open-source Python code.
DOI: 10.25934/pr00008995
title: DATA CHALLENGE: APPLICATION OF ARTIFICIAL INTELLIGENCE METHODS IN AMR

description: Harnessing Artificial Intelligence to Predict Antimicrobial Resistance Trends

Summary

We propose a research project aimed at employing artificial intelligence (AI) to predict trends in antimicrobial resistance. This project topic is precipitated by the growing threat of antimicrobial resistance, which stands as a significant challenge to global health. Traditional methods of prediction have been insufficiently dynamic to effectively monitor and predict these trends, leaving gaps in our understanding and ability to respond. In addition, the growing amount of genomic data is straining the capabilities of traditional modeling techniques.

The study will involve the development of AI models, utilizing machine learning and deep learning techniques, to analyze existing data on antimicrobial resistance. These AI models will be trained to identify patterns and make predictions about future trends. The data sources that we hope to use are the Pfizer-Atlas data sets(antibiotics and antifungals) surveillance data set. Both of these datasets have pediatric data would be an interesting area for subgroup analysis. In addition, the large number of isolates and presence of genomic data lends itself well to machine learning and deep learning.

The general approach would be to start with exploratory data analysis to check on data quality and structure. The team will then use geospatial, temporal and genomic variables from the data to train, validate and test different machine learning and deep learning models. The end goal is to showcase the best predictive model that can support healthcare professionals, researchers, and policy makers in forecasting antimicrobial resistance trends. This will enable proactive measures, early detection of emerging resistance patterns, and contribute to effective antimicrobial stewardship.

The project's success can potentially revolutionize the approach to tackling antimicrobial resistance. It can provide a model for ethically integrating AI in epidemiology and encourage data-based decision making.
DOI: 10.5281/zenodo.8042855
title: Selective Attention VR and PC : Data And Analysis

description: <strong>Data and Analysis Repository for</strong> <strong>Developing Virtual Reality and Computer Screen Experiments One to One Using Selective Attention as a Case Study</strong> June 2023, Rasmus Ahmt Hansen and Marta Topor The current repository holds all data and analysis scripts used in the report named above. Data files are saved in .csv format and analysis scripts were written using R and R Markdown. The report preprint can be accessed at: The study aimed to develop a reliable PC control condition for a VR experiment assessing selective attention in grade 0 children.<br> The selective attention task we developed and implemented can be accessed here: PC : https://doi.org/10.5281/zenodo.7844487 VR : https://doi.org/10.5281/zenodo.7844593 <strong>Participants</strong> 73 grade 0 children from Danish primary schools completed the selective attention test in both VR and PC environments. Performance quality was low and thus we only included 19 participants in final analyses. All data, included and excluded, are openly available in this repository. <strong>Data</strong> Raw data from the PC condition can be found in the RAW PC folder Raw data from the VR condition can be found in the RAW VR folder Demographic data, anonymised, can be found in the demographics.csv file The final data from the 19 participants included in statistical analyses can be found in the final_data_set.csv file <strong>Analysis</strong> Demographic analyses can be found in the demographics.R file Data processing, quality control and statistical analyses can be found in the full_analysis_script.Rmd The plots folder holds plots used in the study report
description: {"references": ["https://doi.org/10.5281/zenodo.7844487", "https://doi.org/10.5281/zenodo.7844593"]}
DOI: 10.5281/zenodo.8042854
title: Selective Attention VR and PC : Data And Analysis

description: <strong>Data and Analysis Repository for</strong> <strong>Developing Virtual Reality and Computer Screen Experiments One to One Using Selective Attention as a Case Study</strong> June 2023, Rasmus Ahmt Hansen and Marta Topor The current repository holds all data and analysis scripts used in the report named above. Data files are saved in .csv format and analysis scripts were written using R and R Markdown. The report preprint can be accessed at: The study aimed to develop a reliable PC control condition for a VR experiment assessing selective attention in grade 0 children.<br> The selective attention task we developed and implemented can be accessed here: PC : https://doi.org/10.5281/zenodo.7844487 VR : https://doi.org/10.5281/zenodo.7844593 <strong>Participants</strong> 73 grade 0 children from Danish primary schools completed the selective attention test in both VR and PC environments. Performance quality was low and thus we only included 19 participants in final analyses. All data, included and excluded, are openly available in this repository. <strong>Data</strong> Raw data from the PC condition can be found in the RAW PC folder Raw data from the VR condition can be found in the RAW VR folder Demographic data, anonymised, can be found in the demographics.csv file The final data from the 19 participants included in statistical analyses can be found in the final_data_set.csv file <strong>Analysis</strong> Demographic analyses can be found in the demographics.R file Data processing, quality control and statistical analyses can be found in the full_analysis_script.Rmd The plots folder holds plots used in the study report
description: {"references": ["https://doi.org/10.5281/zenodo.7844487", "https://doi.org/10.5281/zenodo.7844593"]}
DOI: 10.34740/kaggle/dsv/5937924
title: Urdu Handwritten Ligature dataset(UHLD)
DOI: 10.25934/pr00008952
title: Data Challenge - Unleashing the Power of AI: Harnessing Vivli Data from Kenya to Unlock the Untapped Potential of AMR Data from Uganda

description: Our research interest is using machine learning to discover insights from phenotypic and genotypic data.   The combination of phenotypic and genotypic data holds immense potential for uncovering valuable insights and understanding the relationships between genetic factors and observable traits. Machine learning techniques can play a crucial role in analyzing such complex datasets and identifying correlations.

Our research aims to enhance public health practice and improve the health system in Uganda by utilizing antimicrobial resistance (AMR) data. While AMR data from Uganda is currently lacking in the Vivli database, we plan to leverage data from Kenya to develop machine learning (AI) models that can be applied to Uganda's AMR data. Additionally, we will conduct genetic analysis to study evolutionary rates, perform comparative genomics, and investigate mutations in AMR genes if genotype data is available. The priority pathogens for Uganda, identified by the Global Antimicrobial Resistance Surveillance System (GLASS), include Escherichia coli, Klebsiella pneumoniae, Acinetobacter baumannii, Staphylococcus aureus, Streptococcus pneumoniae, and Salmonella spp. The priority antibiotics are ceftriaxone, metronidazole, ciprofloxacin, and amoxicillin. By harnessing the power of AI, we can effectively support antimicrobial stewardship by analyzing large volumes of AMR data. AI algorithms can identify patterns, trends, and risk factors associated with antibiotic resistance, detect emerging resistance patterns, and predict future trends. This enables the development of targeted interventions and policies to optimize antibiotic prescribing practices and reduce the spread of resistant pathogens. Integration of diverse data sources such as clinical data, surveillance data, and genotype data allows AI algorithms to provide real-time insights into AMR dynamics. Public health officials can utilize these insights to implement timely interventions, allocate resources efficiently, and design targeted awareness campaigns. AI also contributes to strengthening health systems by assisting in resource allocation and optimization. Through the analysis of AMR data, including resistance rates, treatment outcomes, and healthcare facility utilization, AI algorithms can identify areas for improvement such as optimizing antibiotic usage, enhancing infection control protocols, and identifying gaps in healthcare infrastructure. This data-driven approach informs policy decisions, resource allocation, and system-level interventions, thereby fostering more resilient and efficient health systems. Ultimately, the integration of AI techniques with AMR data analysis has the potential to drive evidence-based decision-making and support effective interventions to combat antimicrobial resistance in Uganda.
DOI: 10.25403/upresearchdata.22151849
title: Lean manufacturing practice in South Africa

description: The zipfile contains datasets that were collected through a survey prior to editing and after editing and processing using smartPLS. The files of processed data are multiple because different scenarios had to be run in the simulation (iterative, for example, remove a variable and observing the effect). The results were pocessed using smartPLS. Survey participants targeted were peope who work in organizations that have manufacturing operations, and have a decent level of understanding about any improvement initiatives in their businesses especially regarding their manufacturing processes. Participants were restricted to any particular industry (electrical engineering, fast-moving consumer goods (FMCG), textiles, etc).
DOI: 10.25403/upresearchdata.22151849.v1
title: Lean manufacturing practice in South Africa

description: The zipfile contains datasets that were collected through a survey prior to editing and after editing and processing using smartPLS. The files of processed data are multiple because different scenarios had to be run in the simulation (iterative, for example, remove a variable and observing the effect). The results were pocessed using smartPLS. Survey participants targeted were peope who work in organizations that have manufacturing operations, and have a decent level of understanding about any improvement initiatives in their businesses especially regarding their manufacturing processes. Participants were restricted to any particular industry (electrical engineering, fast-moving consumer goods (FMCG), textiles, etc).
DOI: 10.57745/g2gy5n
title: VENTOUX_N4_TA_L2B.tab

description: données horaires de température de l'air en °C de la placette N4 (Alt. 1395 m)- Mont Ventoux - Versant Nord
DOI: 10.57745/4gtm6o
title: VENTOUX_S5_TA_L2B.tab

description: données horaires de température de l'air en °C de la placette S5 (Alt. 1545 m) - Mont Ventoux - Versant Sud
DOI: 10.57745/aftrlx
title: VENTOUX_N1_TA_L2B.tab

description: données horaires de température de l'air en °C de la placette N1 (Alt. 978 m) - Mont Ventoux - Versant Nord
DOI: 10.57745/pbr6qi
title: VENTOUX_N5_TA_L2B.tab

description: données horaires de température de l'air en °C de la placette N5 (Alt. 1521 m) - Mont Ventoux - Versant Nord
DOI: 10.57745/eozu9j
title: VENTOUX_S3_TA_L2B.tab

description: données horaires de température de l'air en °C de la placette S3 (Alt. 1128 m)- Mont Ventoux - Versant Sud
DOI: 10.57745/vjokfm
title: VENTOUX_S1_TA_L2B.tab

description: données horaires de température de l'air en °C de la placette S1 (Alt. 901 m) - Mont Ventoux - Versant Sud
DOI: 10.57745/nykmal
title: VENTOUX_N2_TA_L2B.tab

description: données horaires de température de l'air en °C de la placette N2 (Alt. 1110 m) - Mont Ventoux - Versant Nord
DOI: 10.57745/iaqs1r
title: VENTOUX_N3_TA_L2B.tab

description: données horaires de température de l'air en °C de la placette N3 (Alt. 1260 m) - Mont Ventoux - Versant Nord
DOI: 10.15468/dl.x43rkb
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mustela altaica Pallas, 1811"
 ]
}

 The dataset includes 94 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029694-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y69r96
title: Occurrence Download

description: A dataset containing 3094 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Megaptera novaeangliae (Borowski, 1781)"
 ]
}

 The dataset includes 3094 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205153-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-56781
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.fybae4
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Paspalum fimbriatum Kunth"
 ]
}

 The dataset includes 284 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032814-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qw66sg
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptobrachium xanthospilum Lathrop, Murphy, Orlov & Ho, 1998"
 ]
}

 The dataset includes 43 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0302232-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-56739
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.25549/pcra-c14-56985
title: Redemption tidings, vol. 38, nos. 1-52, 5 Jan. - 28 Dec. 1962

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.