cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17965823
title: Morphological Informality Modelled Dataset in Kano, Nigeria

description: This dataset represents the difference between planned and unplanned areas of the city as an indication of urban deprivation. Areas with higher levels of morphological informality are related to more deprived areas.Produced as part of the IDEAMAPS Data Ecosystem project, the work was supported, in whole or in part, by the Bill & Melinda Gates Foundation INV-045252. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation.
DOI: 10.5281/zenodo.12954673
title: Leveraging patients' longitudinal data to improve the Hospital One-year Mortality Risk

description: Paper Title: Leveraging patients' longitudinal data to improve the Hospital One-year Mortality Risk

Paper: https://doi.org/10.1007/s13755-024-00332-4 (full-text view-only version: https://rdcu.be/eccmN)

GitHub Link: https://github.com/MEDomics-UdeS/POYM 

Description:

This dataset accompanies Laribi et al. (2024) and contains synthetic data generated using the AVATAR method in partnership with Octopize.

Files:



dataset.csv: This file contains 248,485 rows and 248 columns, representing 248,485 synthetic visits from 123,646 synthetic patients. The first two and the last two columns are not used for prediction. Detailed descriptions of each column can be found in Laribi et al. (2024). To preserve patient's privacy, we did not save admission and discharge dates. Consequently, it is not possible to split the dataset temporally as done with the original dataset or to identify admissions with same-day discharge.


Comparison of synthetic and original data: https://doi.org/10.21203/rs.3.rs-5363467/v1
DOI: 10.5281/zenodo.12954672
title: Leveraging patients' longitudinal data to improve the Hospital One-year Mortality Risk

description: Paper Title: Leveraging patients' longitudinal data to improve the Hospital One-year Mortality Risk

Paper: https://doi.org/10.1007/s13755-024-00332-4 (full-text view-only version: https://rdcu.be/eccmN)

GitHub Link: https://github.com/MEDomics-UdeS/POYM 

Description:

This dataset accompanies Laribi et al. (2024) and contains synthetic data generated using the AVATAR method in partnership with Octopize.

Files:



dataset.csv: This file contains 248,485 rows and 248 columns, representing 248,485 synthetic visits from 123,646 synthetic patients. The first two and the last two columns are not used for prediction. Detailed descriptions of each column can be found in Laribi et al. (2024). To preserve patient's privacy, we did not save admission and discharge dates. Consequently, it is not possible to split the dataset temporally as done with the original dataset or to identify admissions with same-day discharge.


Comparison of synthetic and original data: https://doi.org/10.21203/rs.3.rs-5363467/v1
DOI: 10.15468/dl.3ysyuh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerambyx scopolii",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Sweden",
 "DatasetKey is Artportalen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003024-260208012135463/datasets/export for details.
DOI: 10.5281/zenodo.18313572
title: Morphological Informality Modelled Dataset in Nairobi, Kenya

description: This dataset represents the difference between planned and unplanned areas of the city as an indication of urban deprivation. Areas with higher levels of morphological informality are related to more deprived areas.Produced as part of the IDEAMAPS Data Ecosystem project, the work was supported, in whole or in part, by the Bill & Melinda Gates Foundation INV-045252. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation.
DOI: 10.5281/zenodo.17963362
title: Morphological Informality Modelled Dataset in Nairobi, Kenya

description: This dataset represents the difference between planned and unplanned areas of the city as an indication of urban deprivation. Areas with higher levels of morphological informality are related to more deprived areas.Produced as part of the IDEAMAPS Data Ecosystem project, the work was supported, in whole or in part, by the Bill & Melinda Gates Foundation INV-045252. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation.
DOI: 10.15468/dl.fqcdk7
title: Occurrence Download

description: A dataset containing 485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.36825 42.93469,-79.42366 42.93469,-79.42366 43.41252,-80.36825 43.41252,-80.36825 42.93469))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Elaeagnus umbellata, Elaeagnus angustifolia, Acer platanoides, Aegopodium podagraria, Celastrus orbiculatus, Celastrus orbiculatus, Celastrus orbiculatus, Reynoutria sachalinensis, Reynoutria bohemica)"
 ]
}

 The dataset includes 485 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003025-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5sc3zg
title: Occurrence Download

description: A dataset containing 1080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Atriplex acutibractea"
 ]
}

 The dataset includes 1080 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003028-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18555339
title: Technical Performance Analytics of 120 Academic Library Websites Worldwide (2024)
title: SEO, Speed, and Security Metrics: A Global Dataset of Academic Library Websites
title: Digital Readiness Assessment: Technical Evaluation of Academic Libraries' Web Performance

description: This dataset provides a holistic technical performance evaluation of 120 academic library websites around the globe. Technical Performance Analytics were systematically collected between January and March 2024, encompassing a total of 70 variables. The dataset emphasises critical indicators and sub-metrics for Search Engine Optimisation (SEO), Speed, and security. It offers a detailed analytical framework for assessing the digital readiness of these libraries, addressing technical characteristics, structural elements, and performance metrics. All the metrics (variables) were collected using checkbot.io. The dataset could be used for comparative analyses and scholarly research within the domain of Information Science, and specifically for setting a ground and hands-on evaluation of academic libraries' websites.
DOI: 10.5281/zenodo.18555340
title: Technical Performance Analytics of 120 Academic Library Websites Worldwide (2024)
title: SEO, Speed, and Security Metrics: A Global Dataset of Academic Library Websites
title: Digital Readiness Assessment: Technical Evaluation of Academic Libraries' Web Performance

description: This dataset provides a holistic technical performance evaluation of 120 academic library websites around the globe. Technical Performance Analytics were systematically collected between January and March 2024, encompassing a total of 70 variables. The dataset emphasises critical indicators and sub-metrics for Search Engine Optimisation (SEO), Speed, and security. It offers a detailed analytical framework for assessing the digital readiness of these libraries, addressing technical characteristics, structural elements, and performance metrics. All the metrics (variables) were collected using checkbot.io. The dataset could be used for comparative analyses and scholarly research within the domain of Information Science, and specifically for setting a ground and hands-on evaluation of academic libraries' websites.
DOI: 10.15468/dl.t2x6wf
title: Occurrence Download

description: A dataset containing 1080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Atriplex acutibractea"
 ]
}

 The dataset includes 1080 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003029-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00012486
title: SCALE-UP Counts: A Health Information Technology Approach to Increasing COVID-19 Testing in Elementary and Middle Schools Serving Disadvantaged Communities

description: This project will address key testing challenges in Utah schools by building on collaborations with public school districts, private schools, charter schools and with Utah Department of Health on coronavirus disease (COVID-19) testing and existing infrastructure. The study team will work closely with schools and the Utah public health system to implement and test a shovel-ready and scalable health information technology approach that delivers automated text messages (TM) to students' parents around COVID-19 testing. In addition, some parents will receive a health navigator (HN) follow-up to ensure that tests are completed. Families will be offered the recently FDA-approved in-home serial testing approach if accessing in-person testing is a challenge. While this project is focused on COVID-19 testing, in the case that the COVID-19 vaccination becomes more relevant or is the priority of the school, the study team is able to tailor the intervention to focus on the vaccine as well. The outcomes in this study utilized parent/student reported data. Staff data were also collected but will not be reflected in primary outcome analyses.
DOI: 10.25934/pr00012497
title: Localized mHealth Approach to Boosting COVID-19 Testing and Vaccine Literacy, Access, and Uptake Among Women With Criminal Legal System Involvement

description: The objective of this research is to use a localized mHealth intervention to boost COVID-19 testing and vaccine literacy, access, and uptake among women with CLSI
DOI: 10.25934/pr00012474
title: Community Network-driven COVID-19 Testing and Vaccination of Vulnerable Populations in the Central US (C3)

description: This C3 project, Community network-driven COVID-19 testing of vulnerable populations in the Central US, will implement and evaluate a COVID-19 testing and vaccination approach that combines an evidence-based Social Network Testing Strategy (SNS) with community developed COVID-19 public health messages (SNS+). C3 will engage two disenfranchised populations across rural and urban sites in states across the Central US (Texas (TX), Louisiana (LA), Arkansas (AR), Indiana (IN), Illinois (IL)). C3 leverages NIDA's Justice Community Opioid Innovation Network (JCOIN), the PIs' extensive community located COVID-19 testing programs, and a network of established community partnerships. The collaborative community-academic partnerships, research and engagement infrastructure, and team's leadership across JCOIN will ensure that C3 can rapidly recruit, enroll and test most disenfranchised community members, (n=2400) and through this process, accelerate any forthcoming COVID-19 public health prevention interventions. C3 focuses on two communities most impacted by COVID-19: 1) Criminal justice involved (CJI) - non-incarcerated people with previous history of arrest/jail/prison, probation/parole, drug-court attendance, witnessed or experienced a negative interaction with police or law enforcement; and 2) Low-income Latinx - community members at 250% or below Federal Poverty Level. Both of these diverse populations, and the overlap between them, have some of the highest rates of COVID-19 infection and death in the United States. Messaging that affirms individual agency and corrects misinformation, combined with accessible and acceptable testing, is required to accelerate COVID-19 prevention for these populations.Using a two-arm randomized controlled trial design, participants will be enrolled into the Social Network testing Strategy (SNS) arm (involves social networking referrals only) or the Social Network testing Strategy with COVID-19 prevention messages (SNS+) messaging arm. The latter includes affirmation/misinformation correction messaging (discussion tools and coaching). SNS and SNS+messaging arms will both include an initial group of index study participants who will refer their network members into the study and the process will repeat itself one more time for a total of 3 waves. Indexes will refer network members (1st degree) and then those network members will refer one more round (2nd degree).
DOI: 10.25934/pr00012475
title: Optimization of a New Adaptive Intervention to Increase COVID-19 Testing Among People at High Risk in an Urban Community

description: This study tests an adaptation of the HIV Continuum of Prevention, Care, and Treatment Framework (CoPCT) for use in tracking COVID-19 testing and follow-up in a medically and socially vulnerable population. This study uses an integrated research collaborative framework that facilitates dialogue among researchers, community members, and service providers as a tool for optimizing the adaptive intervention and will take place at the North Jersey Community Research Initiative (NJCRI)
DOI: 10.25934/pr00012476
title: Alive Church Network: Increasing COVID-19 Testing in Chicago's African American Testing Deserts

description: This study uses a population-based approach to increase uptake of COVID-19 testing within a highly segregated and underserved African American community in Chicago.
DOI: 10.25934/pr00012478
title: Communities Fighting COVID!

description: To create and evaluate effective COVID-19 testing uptake strategies that focus on underserved individuals who are exposed but have not accessed testing, and underserved individuals who are not routinely tested because they are unaware of their exposure or risk status in order to increase testing among these populations and reduce Covid-19 related disparities.
DOI: 10.25934/pr00012496
title: Using the Multiphase Optimization Strategy (MOST) to Optimize an Intervention to Increase COVID-19 Testing for Black and Latino/Hispanic Frontline Essential Workers

description: COVID-19 testing is essential to controlling the COVID-19 pandemic to break transmission chains and reduce community transmission. However, Black and Latino/Hispanic populations in lower status frontline essential occupations such as food preparation, retail, building maintenance, personal services, and in-home health care have serious barriers to COVID-19 testing and, therefore, insufficient testing rates. The proposed study will use the multiphase optimization strategy framework to address the problem of low COVID-19 testing rates for this population: We will test the effects of four distinct candidate intervention components and then create an efficient multicomponent made up of the most effective combination of the components that can be rapidly scaled up in community settings to boost COVID-19 testing rates.
DOI: 10.25934/pr00012505
title: ReSET Aim 1b: Restarting Safe Education and Testing for Children With Medical Complexity - SARS-CoV-2 Testing in School With Children and Staff

description: The Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, is a worldwide pandemic that has resulted in large-scale quarantines in cities, states, and countries throughout the world. SARS-CoV-2 is a respiratory virus that is most commonly spread via contact with infective respiratory droplets and aerosols produced by coughing, sneezing, talking, and singing.Children with medical complexity (CMC), i.e., children with multiple severe chronic conditions, high resource use, severe functional limitations, and substantial family-identified service needs, are a medically vulnerable population for the development of severe COVID-19. Deciding to send CMC to school poses a major dilemma to families wanting to minimize severe COVID-19 risk. School personnel also face risks when CMC attend school. Despite these challenges, achieving in-person school attendance is critical for CMC. Compared to non-CMC, academic and social development for most CMC hinges on being at school. Severe intellectual and developmental disability impairs one's ability to engage with online platforms. Health-promoting services delivered at school, e.g., physical, occupational, and speech therapy, are likely less effective when delivered virtually. Parents of CMC, already disproportionately unemployed due to their child's care needs, experience added employment strain when their child is out of school.The study objective is to increase the safe return to school for CMC by 1) evaluating the feasibility of school-based COVID-19 testing strategies and 2) identifying parent and staff perceptions of testing and school attendance. A related study (ReSET Aim 1a, NCT04895085) will evaluate the same factors in home-based testing strategies in CMC exclusively.
DOI: 10.5281/zenodo.18555379
title: Dataset S1. Biogeography of Amphidinium carterae as inferred with metaPR2 and Tara Oceans.

description: This workbook provides information regarding the spatial distributions of environmental homologues of Amphidinium carterae/ A. operculatum/ A. simplex from metaPR2 data, as inferred by phylogenetic reconciliation.

Sheet 1 ("Alignment") provides a manually curated 7824 taxa x 1897 nt alignment of cultured dinoflagellate 18S rDNA sequences, following Perrin and Dorrell (2024), enriched with meta-pr2 and Tara Oceans v4 ASVs identified as phylogenetically proximal to Amphidinium carterae.Sheet 2 ("Phylogeny") provides the consensus IQtree topology realised for the alignment, under default settings.Sheets 3-5 ("metaPR2 distributions", "metaPR2 totals", "metaPR2 graphs") lists tabulated relative abundances of each meta-gene across all metaPR2 data, separating sequence type, depth, substrata and size fraction.Sheets 6-8 ("Tara distributions", "Tara data", "Tara graphs") lists tabulated relative abundances of each meta-gene across all Tara Oceans data, separating sequence type, depth, substrata and size fraction
DOI: 10.5281/zenodo.18555380
title: Dataset S1. Biogeography of Amphidinium carterae as inferred with metaPR2 and Tara Oceans.

description: This workbook provides information regarding the spatial distributions of environmental homologues of Amphidinium carterae/ A. operculatum/ A. simplex from metaPR2 data, as inferred by phylogenetic reconciliation.

Sheet 1 ("Alignment") provides a manually curated 7824 taxa x 1897 nt alignment of cultured dinoflagellate 18S rDNA sequences, following Perrin and Dorrell (2024), enriched with meta-pr2 and Tara Oceans v4 ASVs identified as phylogenetically proximal to Amphidinium carterae.Sheet 2 ("Phylogeny") provides the consensus IQtree topology realised for the alignment, under default settings.Sheets 3-5 ("metaPR2 distributions", "metaPR2 totals", "metaPR2 graphs") lists tabulated relative abundances of each meta-gene across all metaPR2 data, separating sequence type, depth, substrata and size fraction.Sheets 6-8 ("Tara distributions", "Tara data", "Tara graphs") lists tabulated relative abundances of each meta-gene across all Tara Oceans data, separating sequence type, depth, substrata and size fraction
DOI: 10.25934/pr00012480
title: Use of Behavioral Economics in Repeat SARS-CoV-2 (COVID-19) Antibody Testing in Disadvantaged Communities

description: Repeat testing for SARS-CoV-2 antibodies in disadvantaged communities will help identify active and recovered infections over time, and as more is understood about antibody protection, it may help identify persons who have immunity. Many questions about social barriers and behavioral facilitators remain unanswered. This project aims to evaluate the effectiveness of risk-based messaging and incentives that promote repeated testing for SARS-CoV-2 antibodies, as well as to understand social and behavioral determinants of COVID-19 testing and variations within sub-groups of this population.
DOI: 10.15468/dl.5ax8f9
title: Occurrence Download

description: A dataset containing 64203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Scandosorbus intermedia"
 ]
}

 The dataset includes 64203 records from 323 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002992-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/b66w-7a89
title: "Smart Grid Wide Area Monitoring Phasor Measurement Unit and PCAP Data"

description: "Phasor Measurement Unit (PMU) data is of great interest for research and education, but there are few public sources of PMU data with system parameters. This work created, and shares publicly, an experimental PMU dataset, including the validated system model and parameters, based on an experimental scaled, emulated 7 bus power system using common PMUs. The laboratory was designed and built to accurately emulate PMUs operating in a real-world environment, including an analog power system emulator, commercially available PMUs, communication network, and Phasor Data Concentration. The dataset includes event information for each experiment, raw concentrated PMU data, time-aligned processed PMU data with topology information, a MATPOWER model of the power system, and a script to import processed data into MATPOWER application. Additionally, an example application of linear state estimation is presented based on this work."
DOI: 10.25934/pr00012483
title: Getting Asian Americans INFORMED to Facilitate COVID-19 Testing and Vaccination

description: This study develops and evaluates the "INdividual and Family-Oriented Responsive Messaging EDucation" (INFORMED) intervention in increasing knowledge about COVID-19 testing and decreasing decisional conflicts of getting tested for COVID-19. A 2-arm randomized controlled trial will compare INFORMED delivered by LHW educational outreach plus Short Message Service (SMS) text messaging to SMS text with LHW support.