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31 to 40 of 1,632 Results

Data library, R code, and case data employed in McCluskey et al: Leveraging Lyme Disease Surveillance to Simulate Powassan Virus Prevalence Jun 24, 2025 - ETEG Dataverse McCluskey III, James, 2025, "Data library, R code, and case data employed in McCluskey et al: Leveraging Lyme Disease Surveillance to Simulate Powassan Virus Prevalence", https://doi.org/10.7910/DVN/GHHOJ3, Harvard Dataverse, V1, UNF:6:qoSO4mWTPAtCLwasOHrvPQ== [fileUNF] This file contains R code to generate simulation data and employ it in assessing potential range of disease burden. That file also has a data library. Also uploaded here are files containing data consolidated, transformed, and structured for analysis (primary source, www.cdc.gov). This work was performed in order to employ Lyme surveillance and oth...
City Segments Layer v1 Jun 23, 2025 - CAFE Climate and Health Research Coordinating Center Collection Thomson, Dana R; Blei, Alejandro, 2025, "City Segments Layer v1", https://doi.org/10.7910/DVN/XLRSF0, Harvard Dataverse, V1, UNF:6:HVoatTz/7nusnoMLZsGz6w== [fileUNF] The City Segments Layer v1 is a geospatial dataset identifying sub-city areas with high building density and low road connectivity, serving as a proxy for neighborhood socioeconomic status (SES). Available for 5,218 urban centers across 107 low- and middle-income countries, it enables spatial analysis of urban vulnerabilities. City segment boundari...
Data for "Deep neural networks to predict foraging behaviour: salt-water immersion data can accurately predict diving in seabirds" Jun 21, 2025 - Seabird Connectivity Freeman, Robin; Dunn, Ruth; Nicoll, Malcolm; Trevail, Alice; Votier, Stephen; Wood, Hannah, 2025, "Data for "Deep neural networks to predict foraging behaviour: salt-water immersion data can accurately predict diving in seabirds"", https://doi.org/10.7910/DVN/GHWM5U, Harvard Dataverse, V1 Dataset for the paper "Deep neural networks to predict foraging behaviour: salt-water immersion data can accurately predict diving in seabirds" by Swaby et al. This dataset was collected from Axytrek GPS/dive/accelerometer loggers on the backs of adult red-footed booby (Sula sula) during the central place foraging from Barton Point, Diego Garcia (-...
Replication Data for: Public opinion on climate policies that reduce emissions abroad to reach domestic targets - a Swiss case study Jun 18, 2025 - Public opinion on climate policies that reduce emissions abroad to reach domestic targets Brückmann, G, 2025, "Replication Data for: Public opinion on climate policies that reduce emissions abroad to reach domestic targets - a Swiss case study", https://doi.org/10.7910/DVN/T29RF7, Harvard Dataverse, V1, UNF:6:mDW7g+G1bDRO7dAGtfquLQ== [fileUNF] Replication Data for: Public opinion on climate policies that reduce emissions abroad to reach domestic targets - a Swiss case study to be published in Current Research in Environmental Sustainability https://www.sciencedirect.com/journal/current-research-in-environmental-sustainability
HARPT: A Corpus for Analyzing Consumers’ Trust and Privacy Concerns in Mobile Health Apps Jun 18, 2025 - HARPT: A Corpus for Analyzing Consumers’ Trust and Privacy Concerns in Mobile Health Apps Kelly, Timoteo, 2025, "HARPT: A Corpus for Analyzing Consumers’ Trust and Privacy Concerns in Mobile Health Apps", https://doi.org/10.7910/DVN/U6OF6F, Harvard Dataverse, V1, UNF:6:LPiZCP9g1mmX7x6zOUomww== [fileUNF] We present HARPT, a large-scale annotated dataset of mobile health app store reviews focused on privacy and trust. The dataset includes 480,000 user reviews categorized into seven classes reflecting key dimensions of privacy concerns, trust in application, and trust in provider.
Insomnia in Long COVID: Prevalence, Neurological Associations, and Treatment Outcomes (Jan 2021– May 2025) Jun 17, 2025 - Htet Lin Aung Aung, Htet Lin; Tun, Maw Maw; Htun, Zaw Zaw; Yati, Su; Lwin, Kaung Wai Yan, 2025, "Insomnia in Long COVID: Prevalence, Neurological Associations, and Treatment Outcomes (Jan 2021– May 2025)", https://doi.org/10.7910/DVN/DZ5IAX, Harvard Dataverse, V2 This dataset supports a systematic review and meta-analysis examining the prevalence, neurological associations, and treatment outcomes of insomnia in individuals with Long COVID (Post-Acute Sequelae of SARS-CoV-2 infection, or PASC). The analysis includes peer-reviewed studies published between January 2021 and May 2025, retrieved from PubMed, Sco...
The Jean Nicolas Database Jun 17, 2025 Gay, Victor, 2025, "The Jean Nicolas Database", https://doi.org/10.7910/DVN/ANQXMQ, Harvard Dataverse, V1, UNF:6:E2+lUQ4tJpZ9VGjI++Ndqw== [fileUNF] This dataverse contains the Jean Nicolas database, a comprehensive resource documenting 8,516 rebellions in France between 1661 and 1789. The database records each event's typology, chronology, location, participant characteristics, forms of confrontation and violence, legal consequences, sources, and authorship.
Replication Data for: The impact of introducing the RTS,S/AS01E malaria vaccine delivered through routine immunization programmes on mortality in young children: 46-month evaluation of cluster-randomized deployment of the vaccine in Ghana, Kenya and Malawi Jun 17, 2025 - Malaria Vaccine Implementation Programme (MVIP) Mwapasa, Victor; Asante, Kwaku Poku; Milligan, Paul; Akech, Samuel; ODURO, ABRAHAM; Mathanga, Don; Fogelson, Ari; Kwambai, Titus K; Hamel, Mary J; Kapito-Tembo, Atupele; Gyan, thomas; Westercamp, Nelli; Okine, Rafiq; Moore, Kerryn; Pellaux-Furrer E; Stanley, Christopher C.; Ansong, Daniel; Kariuki, Simon; Njuguna, Patricia; Mvalo, Tisungane; Welaga, Paul; Otienoc, Lucas; Snell, Paul; Schellenberg, David; Chimala, Alfred; Afari, Edwin; Bejon, Philip; Maleta, Kenneth; Agbenyega, Tsiri; Snow, Robert; Zulu, Madalitso D; Odei-Lartey, Eliezer; Chinkhumba, Jobiba; Samuels, Aaron; Malaria Vaccine Program Evaluation Partners, 2025, "Replication Data for: The impact of introducing the RTS,S/AS01E malaria vaccine delivered through routine immunization programmes on mortality in young children: 46-month evaluation of cluster-randomized deployment of the vaccine in Ghana, Kenya and Malawi", https://doi.org/10.7910/DVN/CONGVG, Harvard Dataverse, V1, UNF:6:DtHso3dqYTdRT17HBcH+qA== [fileUNF] This is a replication dataset for the manuscript titled: "The impact of introducing the RTS,S/AS01E malaria vaccine delivered through routine immunization programmes on mortality in young children: 46-month evaluation of cluster-randomized deployment of the vaccine in Ghana, Kenya and Malawi."
Replication Data for: Multiple paleofire proxy metrics from tropical lake sediment and soil in the Greater Serengeti Ecosystem. The Holocene. Jun 16, 2025 Courtney Mustaphi, Colin; Sandra O. Camara-Brugger; Nathan J. Chellman; Samuel Muñoz; Rebecca Kariuki; Maja Damber; Anna Shoemaker; Anneli Ekblom; Linus Munishi; Paul Lane; Rob Marchant; Oliver Heiri, 2025, "Replication Data for: Multiple paleofire proxy metrics from tropical lake sediment and soil in the Greater Serengeti Ecosystem. The Holocene.", https://doi.org/10.7910/DVN/S4ILZT, Harvard Dataverse, V2 Replication data for paleofire proxy measurements of a lake sediment core and soil pit samples from sites in the Greater Serengeti Ecosystem, Tanzania. Published in The Holocene. https://doi.org/10.1177/09596836251340882
TX – all hourly probabilistic datasets & summary report files Jun 11, 2025 - Simulated Data - Facility Level Gazar, Amir M., 2025, "TX – all hourly probabilistic datasets & summary report files", https://doi.org/10.7910/DVN/4IUCVK, Harvard Dataverse, V1 All valid hourly probabilistic datasets & summary report for TX

Data library, R code, and case data employed in McCluskey et al: Leveraging Lyme Disease Surveillance to Simulate Powassan Virus Prevalence

Jun 24, 2025 - ETEG Dataverse

McCluskey III, James, 2025, "Data library, R code, and case data employed in McCluskey et al: Leveraging Lyme Disease Surveillance to Simulate Powassan Virus Prevalence", https://doi.org/10.7910/DVN/GHHOJ3, Harvard Dataverse, V1, UNF:6:qoSO4mWTPAtCLwasOHrvPQ== [fileUNF]

This file contains R code to generate simulation data and employ it in assessing potential range of disease burden. That file also has a data library. Also uploaded here are files containing data consolidated, transformed, and structured for analysis (primary source, www.cdc.gov). This work was performed in order to employ Lyme surveillance and oth...

City Segments Layer v1

Jun 23, 2025 - CAFE Climate and Health Research Coordinating Center Collection

Thomson, Dana R; Blei, Alejandro, 2025, "City Segments Layer v1", https://doi.org/10.7910/DVN/XLRSF0, Harvard Dataverse, V1, UNF:6:HVoatTz/7nusnoMLZsGz6w== [fileUNF]

The City Segments Layer v1 is a geospatial dataset identifying sub-city areas with high building density and low road connectivity, serving as a proxy for neighborhood socioeconomic status (SES). Available for 5,218 urban centers across 107 low- and middle-income countries, it enables spatial analysis of urban vulnerabilities. City segment boundari...

Data for "Deep neural networks to predict foraging behaviour: salt-water immersion data can accurately predict diving in seabirds"

Jun 21, 2025 - Seabird Connectivity

Freeman, Robin; Dunn, Ruth; Nicoll, Malcolm; Trevail, Alice; Votier, Stephen; Wood, Hannah, 2025, "Data for "Deep neural networks to predict foraging behaviour: salt-water immersion data can accurately predict diving in seabirds"", https://doi.org/10.7910/DVN/GHWM5U, Harvard Dataverse, V1

Dataset for the paper "Deep neural networks to predict foraging behaviour: salt-water immersion data can accurately predict diving in seabirds" by Swaby et al. This dataset was collected from Axytrek GPS/dive/accelerometer loggers on the backs of adult red-footed booby (Sula sula) during the central place foraging from Barton Point, Diego Garcia (-...

Replication Data for: Public opinion on climate policies that reduce emissions abroad to reach domestic targets - a Swiss case study

Jun 18, 2025 - Public opinion on climate policies that reduce emissions abroad to reach domestic targets

Brückmann, G, 2025, "Replication Data for: Public opinion on climate policies that reduce emissions abroad to reach domestic targets - a Swiss case study", https://doi.org/10.7910/DVN/T29RF7, Harvard Dataverse, V1, UNF:6:mDW7g+G1bDRO7dAGtfquLQ== [fileUNF]

Replication Data for: Public opinion on climate policies that reduce emissions abroad to reach domestic targets - a Swiss case study to be published in Current Research in Environmental Sustainability https://www.sciencedirect.com/journal/current-research-in-environmental-sustainability

HARPT: A Corpus for Analyzing Consumers’ Trust and Privacy Concerns in Mobile Health Apps

Jun 18, 2025 - HARPT: A Corpus for Analyzing Consumers’ Trust and Privacy Concerns in Mobile Health Apps

Kelly, Timoteo, 2025, "HARPT: A Corpus for Analyzing Consumers’ Trust and Privacy Concerns in Mobile Health Apps", https://doi.org/10.7910/DVN/U6OF6F, Harvard Dataverse, V1, UNF:6:LPiZCP9g1mmX7x6zOUomww== [fileUNF]

We present HARPT, a large-scale annotated dataset of mobile health app store reviews focused on privacy and trust. The dataset includes 480,000 user reviews categorized into seven classes reflecting key dimensions of privacy concerns, trust in application, and trust in provider.

Insomnia in Long COVID: Prevalence, Neurological Associations, and Treatment Outcomes (Jan 2021– May 2025)

Jun 17, 2025 - Htet Lin Aung

Aung, Htet Lin; Tun, Maw Maw; Htun, Zaw Zaw; Yati, Su; Lwin, Kaung Wai Yan, 2025, "Insomnia in Long COVID: Prevalence, Neurological Associations, and Treatment Outcomes (Jan 2021– May 2025)", https://doi.org/10.7910/DVN/DZ5IAX, Harvard Dataverse, V2

This dataset supports a systematic review and meta-analysis examining the prevalence, neurological associations, and treatment outcomes of insomnia in individuals with Long COVID (Post-Acute Sequelae of SARS-CoV-2 infection, or PASC). The analysis includes peer-reviewed studies published between January 2021 and May 2025, retrieved from PubMed, Sco...

The Jean Nicolas Database

Jun 17, 2025

Gay, Victor, 2025, "The Jean Nicolas Database", https://doi.org/10.7910/DVN/ANQXMQ, Harvard Dataverse, V1, UNF:6:E2+lUQ4tJpZ9VGjI++Ndqw== [fileUNF]

This dataverse contains the Jean Nicolas database, a comprehensive resource documenting 8,516 rebellions in France between 1661 and 1789. The database records each event's typology, chronology, location, participant characteristics, forms of confrontation and violence, legal consequences, sources, and authorship.

Replication Data for: The impact of introducing the RTS,S/AS01E malaria vaccine delivered through routine immunization programmes on mortality in young children: 46-month evaluation of cluster-randomized deployment of the vaccine in Ghana, Kenya and Malawi

Jun 17, 2025 - Malaria Vaccine Implementation Programme (MVIP)

Mwapasa, Victor; Asante, Kwaku Poku; Milligan, Paul; Akech, Samuel; ODURO, ABRAHAM; Mathanga, Don; Fogelson, Ari; Kwambai, Titus K; Hamel, Mary J; Kapito-Tembo, Atupele; Gyan, thomas; Westercamp, Nelli; Okine, Rafiq; Moore, Kerryn; Pellaux-Furrer E; Stanley, Christopher C.; Ansong, Daniel; Kariuki, Simon; Njuguna, Patricia; Mvalo, Tisungane; Welaga, Paul; Otienoc, Lucas; Snell, Paul; Schellenberg, David; Chimala, Alfred; Afari, Edwin; Bejon, Philip; Maleta, Kenneth; Agbenyega, Tsiri; Snow, Robert; Zulu, Madalitso D; Odei-Lartey, Eliezer; Chinkhumba, Jobiba; Samuels, Aaron; Malaria Vaccine Program Evaluation Partners, 2025, "Replication Data for: The impact of introducing the RTS,S/AS01E malaria vaccine delivered through routine immunization programmes on mortality in young children: 46-month evaluation of cluster-randomized deployment of the vaccine in Ghana, Kenya and Malawi", https://doi.org/10.7910/DVN/CONGVG, Harvard Dataverse, V1, UNF:6:DtHso3dqYTdRT17HBcH+qA== [fileUNF]

This is a replication dataset for the manuscript titled: "The impact of introducing the RTS,S/AS01E malaria vaccine delivered through routine immunization programmes on mortality in young children: 46-month evaluation of cluster-randomized deployment of the vaccine in Ghana, Kenya and Malawi."

Replication Data for: Multiple paleofire proxy metrics from tropical lake sediment and soil in the Greater Serengeti Ecosystem. The Holocene.

Jun 16, 2025

Courtney Mustaphi, Colin; Sandra O. Camara-Brugger; Nathan J. Chellman; Samuel Muñoz; Rebecca Kariuki; Maja Damber; Anna Shoemaker; Anneli Ekblom; Linus Munishi; Paul Lane; Rob Marchant; Oliver Heiri, 2025, "Replication Data for: Multiple paleofire proxy metrics from tropical lake sediment and soil in the Greater Serengeti Ecosystem. The Holocene.", https://doi.org/10.7910/DVN/S4ILZT, Harvard Dataverse, V2

Replication data for paleofire proxy measurements of a lake sediment core and soil pit samples from sites in the Greater Serengeti Ecosystem, Tanzania. Published in The Holocene. https://doi.org/10.1177/09596836251340882

TX – all hourly probabilistic datasets & summary report files

Jun 11, 2025 - Simulated Data - Facility Level

Gazar, Amir M., 2025, "TX – all hourly probabilistic datasets & summary report files", https://doi.org/10.7910/DVN/4IUCVK, Harvard Dataverse, V1