cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7932969
title: Equilibrium climate sensitivity experiments using EC-Earth3-LR model — Surface Air Temperature data

description: Three experiments was conducted using a EC-Earth model with the EC-Earth3-LR configuration (REF), which couples atmosphere, land, ocean and sea-ice components. First, we performed a pre-industrial (PI) control simulation (E280) using pre-industrial forcing, holding atmospheric constituents constant at 1850 levels (e.g., CO<sub>2</sub> concentration at 280 ppm). This simulation was initialized by a pre-run steady restart file (from a 500-year pre-industrial control simulation) and ran for 2000 years. We also conducted two sensitivity experiments (E400 and E560) by adjusting the CO<sub>2</sub> concentration to 400 ppm and 560 ppm, respectively, at the start year of the E280 experiment, and continued for over 3000 years (3069 years for E400, and 3013 years for E560). For our statistical analysis, we only considered the integration periods after the spin-up, using the last 2000-year outputs from the three simulations. The dataset contains Earth system model results from EC-Earth3 presented in the study by Cao et al. (2023). Cao, N., Zhang, Q., Wang, Z., Power, K.E., & Liu, C. (2023). The non-negligible impact of internal multi-centennial climate variability on estimating equilibrium climate change. Submitted to <em>Geophysical Research Letters</em>. <strong>Model configuration</strong><br> Time periods: 2000-year time slice for all three experiments<br> ESM configuration: EC-Earth3-LR<br> Horizontal resolution: ~1.125° (~125 km) <strong>Available data</strong><br> Annual mean data for Surface Air Temperature data.
DOI: 10.5281/zenodo.7932968
title: Equilibrium climate sensitivity experiments using EC-Earth3-LR model — Surface Air Temperature data

description: Three experiments was conducted using a EC-Earth model with the EC-Earth3-LR configuration (REF), which couples atmosphere, land, ocean and sea-ice components. First, we performed a pre-industrial (PI) control simulation (E280) using pre-industrial forcing, holding atmospheric constituents constant at 1850 levels (e.g., CO<sub>2</sub> concentration at 280 ppm). This simulation was initialized by a pre-run steady restart file (from a 500-year pre-industrial control simulation) and ran for 2000 years. We also conducted two sensitivity experiments (E400 and E560) by adjusting the CO<sub>2</sub> concentration to 400 ppm and 560 ppm, respectively, at the start year of the E280 experiment, and continued for over 3000 years (3069 years for E400, and 3013 years for E560). For our statistical analysis, we only considered the integration periods after the spin-up, using the last 2000-year outputs from the three simulations. The dataset contains Earth system model results from EC-Earth3 presented in the study by Cao et al. (2023). Cao, N., Zhang, Q., Wang, Z., Power, K.E., & Liu, C. (2023). The non-negligible impact of internal multi-centennial climate variability on estimating equilibrium climate change. Submitted to <em>Geophysical Research Letters</em>. <strong>Model configuration</strong><br> Time periods: 2000-year time slice for all three experiments<br> ESM configuration: EC-Earth3-LR<br> Horizontal resolution: ~1.125° (~125 km) <strong>Available data</strong><br> Annual mean data for Surface Air Temperature data.
DOI: 10.5281/zenodo.7932965
title: Brazilian High School Curricula Database

description: This is a database of high school curricula in Brazil, in PDF, preprocessed in .txt, and a Pretrained Vector Space Model based on the documents.
description: {"references": ["0000-0002-9375-2951"]}
DOI: 10.5281/zenodo.7932964
title: Brazilian High School Curricula Database

description: This is a database of high school curricula in Brazil, in PDF, preprocessed in .txt, and a Pretrained Vector Space Model based on the documents.
description: {"references": ["0000-0002-9375-2951"]}
DOI: 10.6084/m9.figshare.22816136.v1
title: Metaphor and Personality

description: This study investigated the comprehension of metaphor among two types of personality; intuitive versus sensing comprehenders.
DOI: 10.6084/m9.figshare.22816136
title: Metaphor and Personality

description: This study investigated the comprehension of metaphor among two types of personality; intuitive versus sensing comprehenders.
DOI: 10.57745/66ufvp
title: Test_2_Areas_B16.tab

description: Only data of group 16, and are used to calculate the numbers of changes of area during a period for a given sow and type of sound
DOI: 10.57745/9bxgrq
title: Test_2_Occupation_B16.tab

description: Only data of group 16, and are used to calculate the numbers of changes of occupation during a period for a given sow and type of sound
DOI: 10.57745/dda5iq
title: Raw_data_all.tab

description: Raw behavioral data recorded continuously for all the sows, and one line represents one behavior of a sow.
DOI: 10.57745/v7nfrd
title: Test_2_Posture_B16.tab

description: Only data of group 16, and are used to calculate the numbers of changes of posture during a period for a given sow and type of sound
DOI: 10.57745/huu0as
title: By_second.tab

description: File "By_second" - see metadata for description
DOI: 10.57745/uqejgy
title: Raw_Behavior.tab

description: File "Raw_Behavior" - see metadata for description
DOI: 10.57745/v5osp7
title: Test_2_Type_Duration_B16.tab

description: Only data of the group 16, and one line represents one second. This file is used to calculate the time spent during the test weeks for each type of sound emitted
DOI: 10.25934/pr00008943
title: Data Challenge - SL Team

description: 

Proposal: 
Application of statistical and machine learning methods to predict antimicrobial susceptibility to bloodborne microorganisms to support administrative and policy level decision making. 


Antimicrobial resistance has been identified as an emerging global threat and most countries have initiated  several strategic actions to combat the AMR. The dissemination of antimicrobial resistance across geographical boundaries in the world has been considered a burning issue for humans, animals, and the environment. One health concept has been recognized and implemented as a main strategy to control AMR in many countries. By taking up the challenge, we aim to develop and apply statistical and machine learning techniques to identify and forecast the AMR of bloodborne bacteria using the patient and sample data available in the data set. We believe that our work will support healthcare policymakers and administrators in selecting suitable antimicrobials to use, costing and  budgeting.

We will use longitudinal patients data, sample data and AST data available in the data set to train and validate our models. We expect to apply various statistical and machine learning algorithms to identify the factors that influence antimicrobial susceptibility and predict the likelihood of resistance. We will evaluate the performance of the models using cross-validation and external validation to ensure their robustness and generalizability. The final outcome of this study is to produce predictive models that may accurately forecast antimicrobial susceptibility based on patient and test data.

By identifying the antimicrobial resistance pattern, policy makers and administrators can identify the antimicrobials that should be produced, imported or controlled for use. Further , this information can be used to calculate and forecast the future cost of therapy and prepare accurate budgets for antimicrobials. We believe that this proposed activity will strengthen the health system by forcasting the AMR accurately and support the stakeholders to allocate the necessary resources for patients.
DOI: 10.5281/zenodo.7932445
title: OpenMM simulations of DMPC using the CHARMM Drude2023 force field in xtc format

description: The dataset contains a PSF, a formatted coordinate file (CRD), and XTC files with the final 200 ns from<br> each of 3 replicate simulations from the paper <br> <strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion:<br> Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Benoît Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*<br> https://doi.org/10.1021/acs.jctc.3c00203 XTC file names indicate the lipid and the replica number; each file has frames spaced at 10 ps over a 200 ns interval. The DCD sub-files in 10.5281/zenodo.7872767 have been concatenated into a single 200 ns long trajectory in xtc format by Batuhan Kav using MDAnalysis.
DOI: 10.5281/zenodo.7932446
title: OpenMM simulations of DMPC using the CHARMM Drude2023 force field in xtc format

description: The dataset contains a PSF, a formatted coordinate file (CRD), and XTC files with the final 200 ns from<br> each of 3 replicate simulations from the paper <br> <strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion:<br> Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Benoît Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*<br> https://doi.org/10.1021/acs.jctc.3c00203 XTC file names indicate the lipid and the replica number; each file has frames spaced at 10 ps over a 200 ns interval. The DCD sub-files in 10.5281/zenodo.7872767 have been concatenated into a single 200 ns long trajectory in xtc format by Batuhan Kav using MDAnalysis.
DOI: 10.25921/qm4c-hp39
title: EK60 Water Column Sonar Data Collected During NF2206
DOI: 10.5281/zenodo.7932360
title: OpenMM simulations of DLPC using the CHARMM Drude2023 force field in xtc format

description: The dataset contains a PSF, a formatted coordinate file (CRD), and XTC files with the final 200 ns from<br> each of 3 replicate simulations from the paper <br> <strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion:<br> Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Benoît Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*<br> https://doi.org/10.1021/acs.jctc.3c00203 XTC file names indicate the lipid and the replica number; each file has frames spaced at 10 ps over a 200 ns interval. The DCD sub-files in 10.5281/zenodo.7872783 have been concatenated into a single 200 ns long trajectory in xtc format by Batuhan Kav using MDAnalysis.
DOI: 10.5281/zenodo.7932361
title: OpenMM simulations of DLPC using the CHARMM Drude2023 force field in xtc format

description: The dataset contains a PSF, a formatted coordinate file (CRD), and XTC files with the final 200 ns from<br> each of 3 replicate simulations from the paper <br> <strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion:<br> Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Benoît Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*<br> https://doi.org/10.1021/acs.jctc.3c00203 XTC file names indicate the lipid and the replica number; each file has frames spaced at 10 ps over a 200 ns interval. The DCD sub-files in 10.5281/zenodo.7872783 have been concatenated into a single 200 ns long trajectory in xtc format by Batuhan Kav using MDAnalysis.
DOI: 10.6084/m9.figshare.22815794.v1
title: Cyclists' exposure-network design-data-MATLAB file

description: This is a MATLAB file that contains the data used for the research titeled " Cyclists’ Exposure to Traffic-Generated Air Pollution in Multi-modal Transportation Network Design Problem " . This file can be used to run a model in MATLAB.
DOI: 10.6073/pasta/1360a01ea467ae0cbc09c830d37d12ab
title: CSM01 Seasonal Summary of Numbers of Small Mammals on 14 LTER Traplines in Prairie Habitats at Konza Prairie

description: Data set contains seasonal summaries (spring and autumn) of the number of individuals of each species of small mammal captured (relative abundance) on each grassland trapline. Each record contains year, season, trapline and number of individuals captured of each species. These live trap records are based on daily captures during two 4-day trapping periods in spring (late February to early April) and autumn (early October to mid-November) for each of 14 permanent traplines established on seven fire-grazing treatments (two traplines per treatment). These seven fire-grazing treatments include three sites that are grazed by bison (1 unburned, 1 annual burn and 1 4-year burn) and four sites that are not grazed by bison (1 unburned, 1 annual burn and 2 4-year burn).
DOI: 10.25934/pr00008939
title: Aeromonas resistance

description: 
The goal of this research is to generate knowledge that can improve public health and strengthen healthcare systems. There are four main purposes of the proposed analysis:

Improve patient outcomes - The research aims to identify new treatments, diagnostic techniques and preventive measures that can directly help patients live healthier lives with better clinical results. Data-driven insights on what works best for different groups can guide more targeted, effective care.   

Strengthen stewardship - The work seeks to optimize how financial resources and materials are used to provide the greatest benefit to the most people in a sustainable manner. Responsible stewardship of funds and supplies is essential for well-functioning health systems.

Inform public health practice - Findings from the research can offer information and perspectives that public health officials can leverage to implement programs and policies that enhance population health outcomes. Data on emerging health threats, for instance, can help shape early interventions.

Strengthen health systems - By evaluating various care delivery models, resource allocation schemes and organizational structures, the research hopes to generate evidence that can help optimize how health systems function to best serve communities. This may involve identifying  more cost-effective approaches and strategies to improve access and quality of care.  

Ultimately, the proposed research aims to advance human health through rigorous analysis that can benefit individuals, communities and populations for years to come by helping to improve medical practices and strengthen healthcare systems.
DOI: 10.3886/e113641v1-138760
title: Replication data for: Buy the Book? Evidence on the Effect of Textbook Funding on School-Level Achievement

description: This paper considers the effect of textbook funding on school-level test performance by using a quasi-experimental setting in the United States. I consider a lawsuit in California that provided a one-time payment of $96.90 per student for textbooks if schools fell below a threshold of academic performance. Exploiting this variation with a regression discontinuity (RD) design, I find that textbook funding has significant positive effects on school-level achievement in elementary schools and has a high benefit-per-dollar. In contrast to elementary schools, I find no effect in middle and high schools though these estimates are very imprecise.
DOI: 10.5281/zenodo.7933070
title: Electronic Companion - A Trilevel Programming Model for the Coordination of Wholesale and Local Distribution Markets Considering GENCOs and Proactive Customers

description: This release is associated with a paper entitled "A Trilevel Programming Model for the Coordination of Wholesale and Local Distribution Markets Considering GENCOs and Proactive Customers". In this document, we provide the mathematical manipulation to develop an MPEC formulation that simultaneously models the clearing process of local distribution markets and the wholesale market considering the participation of generation companies and proactive customers. We include information regarding the transmission and distribution power systems adopted to present the results shown in the paper. These systems are modified versions of the IEEE 14-bus and the IEEE 34-bus, respectively. Data regarding the costs and physical parameters of each of the power system's elements are provided in this document.
DOI: 10.5281/zenodo.7933069
title: Electronic Companion - A Trilevel Programming Model for the Coordination of Wholesale and Local Distribution Markets Considering GENCOs and Proactive Customers

description: This release is associated with a paper entitled "A Trilevel Programming Model for the Coordination of Wholesale and Local Distribution Markets Considering GENCOs and Proactive Customers". In this document, we provide the mathematical manipulation to develop an MPEC formulation that simultaneously models the clearing process of local distribution markets and the wholesale market considering the participation of generation companies and proactive customers. We include information regarding the transmission and distribution power systems adopted to present the results shown in the paper. These systems are modified versions of the IEEE 14-bus and the IEEE 34-bus, respectively. Data regarding the costs and physical parameters of each of the power system's elements are provided in this document.
DOI: 10.25934/pr00008941
title: Data Challenge - Designing a PCR Test for Detecting Antimicrobial Resistance Markers in Gram-Negative Bacteria in Africa Using Genotypic AMR Data from Multiple Countries

description: High prevalence of antimicrobial resistance (AMR) and limited treatment options of gram-negative bacteria (GNB) is a public health concern in globally. Of much concern are K. pneumoniae, P. aeruginosa, Acinetobacter baumanii, and E. coli. These group are under WHO watch list for Research and Development of new diagnostics and therapeutics given are associated with AMR related morbidity and mortality. They are attributed to an average 929,000 deaths to AMR annually with the biggest burden in Africa. Overuse and misuse of antibiotics, inadequate infection prevention and control measures, and poor healthcare infrastructure contributes to emergence and spread of AMR. AMR in Africa is spreading at a high rate yet development of new therapeutics and diagnostics tests is slow.  

Hence, our goal is to investigate the feasibility of designing affordable molecular PCR tests to detect common (AMR) markers in GNB found in Africa. The high prevalence of AMR in GNB in Africa makes this area a research priority, which will contribute to reducing morbidity and mortality, particularly in resource-limited settings. Additionally, developing a more timely, accurate, efficient and cost-effective method of detecting AMR markers could improve patient outcomes, reduce unnecessary antibiotic use, and help mitigate the development and spread of AMR.

This analysis will focus on identifying the most prevalent AMR markers in GNB using data from representative countries in East, North, West and South Africa.  Our team is geographically diverse and multi-disciplinary including Lara van der Merwe an In-silico tools developer (South Africa), Dr. Grace Akello, Valerie Tusubira (Data analyst) and Dr. Leus Twinatwine (Policy and Health Systems Strengthening) all from Uganda.
Our findings would revolutionize the diagnosis and treatment of AMR in African populations, inform on ongoing vaccine and therapeutic development initiatives, inferences from analyzed data will inform clinical practice, national and international policies related to AMR surveillance and control.
DOI: 10.25934/pr00008942
title: Antimicrobial resistance characteristics and risk factors of Extended-spectrum beta-lactamase-producing Enterobacterales in children from large surveillance data: an epidemiological surveillance study

description: Antimicrobial resistance (AMR) is a global public health threat that continues to escalate and impact all ages. However, until recently, the increasing trend in AMR in infants and children has received much less attention. Bacterial resistant infections in 2019 directly contributed to over 1.2 million deaths globally, while children under 5 were found to be at particularly high risk, with 20% of deaths attributable to AMR. Emerging threats for children (eg extended-spectrum beta-lactamase (ESBL)-producing Enterobacterales, carbapenem-resistant Enterobacterales) require urgent actions to have sufficient surveillance data for children. The surging  issue of childhood AMR has multiple impacts that are specific to this age with fewer new antibiotics or available formulations. Because of the expense and complexity of ethical approval for clinical trials, it is important to assess surveillance data to understand the distribution and trends of paediatric AMR to prioritise drug development efforts and treatment guideline revisions. Our systematic review found that previous hospital care particularly intensive care in adults increase risk of ESBL AMR, also ESBL AMR data among children are scarce. Vivli platform provides a great opportunity: 
1.	to understand the characteristics and trends of paediatric ESBL AMR resistance by using Vivli ATLAS_Antibiotics data 
2.	to investigate paediatric ESBL AMR resistance trajectory by using group-based trajectory modelling (GBTM)
3.	to determine the moderating factors of paediatric ESBL AMR from health systems (hospitals, healthcare providers), family (parents) and children’s genotype information
4.     to explore the causal pathways of paediatric ESBL AMR by mediation analysis
 

Outcomes: This project will provide evidence of paediatric ESBL AMR and help us to understand the demographical distribution, identify risk factors, understand the causal pathways of children's ESBL AMR, therefore inform potential interventions for improving hospital antimicrobial stewardship and children health outcomes. The methodology from this study can be replicated for other AMR resistance profile research.
DOI: 10.5519/qd.kt9sbhvn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (24 records)
DOI: 10.6073/pasta/6d050939fbe0546997cee3af73be04cd
title: CSM08 Small mammal host-parasite sampling data for 16 linear trapping transects located in 8 LTER burn treatment watersheds at Konza Prairie

description: Data set contains summaries (summer) of the number of individuals of each species of small mammal captured (relative abundance) on each transect. Each record contains date, treatment, transect, trap station, species, specimen number, recapture status, specimen disposition, external body measurements (where applicable), reproductive information, and miscellaneous associated comments. These sampling records are based on nightly captures during one 4-night trapping period in summer (June through August) for each of 16 permanent transects established on eight fire treatments (two transects per treatment). These treatments include two seasonal burn watersheds (SpB, SuB), two reversal burn watersheds (R1A, R20A), one annual burn watershed (1D), two 4-year burn watersheds (4B, 4F, and one 20-year burn watershed (20B). None of these treatments implement bison grazing.
DOI: 10.34740/kaggle/dsv/5677738
title: Nigerian Presidential Election 2023 Tweets
DOI: 10.25921/v99g-k630
title: EM710 Water Column Sonar Data Collected During NF2206
DOI: 10.6084/m9.figshare.22816289
title: <strong>Comparison of performances of SIREN or MFSRS in stroke risk prediction in an African environment</strong>

description: <strong>Data was for stroke risk profiles of community-dwelling adults in Nigerian community using the SIREN and the MFSRS</strong>
DOI: 10.25921/fy93-qa29
title: EK60 Water Column Sonar Data Collected During NF1602
DOI: 10.25345/c5hq3s82m
title: MassIVE MSV000091934 - Explore PIN1 interacting E3 ligase
title: Investegate PIN1 interacting E3 ligase by mass spectrometry