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81 to 90 of 10,121 Results
Code for "The Relationship between Schooling and Intimate Partner Violence: Evidence from India’s Sarva Shiksha Abhiyan"
May 10, 2025
Nandi, Arindam, 2024, "Code for "The Relationship between Schooling and Intimate Partner Violence: Evidence from India’s Sarva Shiksha Abhiyan"", https://doi.org/10.7910/DVN/RRKJOG, Harvard Dataverse, V2
Stata code for Nandi et al. (2024) "The Relationship between Schooling and Intimate Partner Violence: Evidence from India’s Sarva Shiksha Abhiyan"
Replication Data for: "Adjusting Injectable Contraceptive Use for Months Since the Last Injection"
May 10, 2025
Karra, Mahesh; Canning, David, 2024, "Replication Data for: "Adjusting Injectable Contraceptive Use for Months Since the Last Injection"", https://doi.org/10.7910/DVN/8KRLKC, Harvard Dataverse, V3, UNF:6:/6u251um45uqSoduC7bNtg== [fileUNF]
This replication package reproduces the results for the paper entitled "Adjusting Injectable Contraceptive Use for Months Since the Last Injection," which is published in Studies in Family Planning (SFP). This package contains 1 Stata Do-File (.do) that replicates the tables in the main paper and 1 Stata Data File (.dta) that produces the descripti...
Food Security Simulator – Ethiopia
May 9, 2025 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2024, "Food Security Simulator – Ethiopia", https://doi.org/10.7910/DVN/LVOLEP, Harvard Dataverse, V5
The Food Security Simulator Ethiopia (FSS-ETH) is an innovative and easy-to-use, MS-Excel-based tool for assessing the potential short-term impacts of food price or household income shocks, along with changes in preferences, on food security and people’s diets. The Simulator is an ideal tool for first-cut forward-looking evaluations of direct, hous...
ClimateNetLarge: An open large-scale expert-labeled dataset for training deep learning detection, segmentation, and tracking of extreme weather events in climate data
May 9, 2025
Kim, Sol; Graubner, Andre; Kapp-Schwoerer, Lukas; Kashinath, Karthik; Schindler, Konrad, 2024, "ClimateNetLarge: An open large-scale expert-labeled dataset for training deep learning detection, segmentation, and tracking of extreme weather events in climate data", https://doi.org/10.7910/DVN/PBACFC, Harvard Dataverse, V2
As Earth's climate continues to undergo changes, it is imperative to gain understanding of how high-impact, extreme weather events will change. Researchers are increasingly relying on data-driven, learning-based approaches for the detection and tracking of extreme weather events. While several attempts to generate datasets of hand-labeled weather o...
Replication Data for: Reducing Emissions and Air Pollution from Informal Brick Kilns: Evidence from Bangladesh
May 8, 2025 - Reducing Emissions and Air Pollution from Informal Brick Kilns: Evidence from Bangladesh
Brooks, Nina; Biswas, Debashish; Maithel, Sameer; Miller, Grant; Mahajan, Aprajit; Uddin, M. Rofi; Ahmed, Shoeb; Mahzab, Moogdho; Rahman, Mahbubur; Luby, Stepehen, 2024, "Replication Data for: Reducing Emissions and Air Pollution from Informal Brick Kilns: Evidence from Bangladesh", https://doi.org/10.7910/DVN/MV9FEH, Harvard Dataverse, V3, UNF:6:/mRL4sFqJSN+iGx4E0WFkg== [fileUNF]
Data and code to replicate the analysis from "Reducing Emissions and Air Pollution from Informal Brick Kilns: Evidence from Bangladesh". We include de-identified versions of the baseline data, adoption checklist data, and a merged dataset that combines the kiln performance monitoring data and the endline data.
data for "Topics and Trends in Contemporary Chinese Newspaper Discourse on Translation (1949-2023): A Digital Humanities Approach"
May 6, 2025
Shi, Xinyu; Huang, Libo, 2024, "data for "Topics and Trends in Contemporary Chinese Newspaper Discourse on Translation (1949-2023): A Digital Humanities Approach"", https://doi.org/10.7910/DVN/BTPPPU, Harvard Dataverse, V3
The excel shows the cumulative proportions of translation-related terms in the newspaper discourse over the years 1949-2023. And the text file lists the filtered words in KH coder.
Replication Data for: tcga-data-nf
Replication Data for: tcga-data-nf
May 6, 2025
Fanfani, Viola, 2024, "Replication Data for: tcga-data-nf", https://doi.org/10.7910/DVN/MCSSYJ, Harvard Dataverse, V2, UNF:6:/gl4Lvd2xLjWDAO4PfmrQg== [fileUNF]
Replication data and code for the paper on the `tcga-data-nf` workflow.
Output data of 'Systematic Global Stocktake of over 50,000 Urban Climate Change Studies'
May 5, 2025
Montfort, Simon; Callaghan, Max; Creutzig, Felix; Lamb, William; Lu, Chenxi; Repke, Tim; Ge, Ke; Minx, Jan, 2024, "Output data of 'Systematic Global Stocktake of over 50,000 Urban Climate Change Studies'", https://doi.org/10.7910/DVN/RSJF0Y, Harvard Dataverse, V5
Three output datasets of our study: over 50k publications on climate change and cities (dataset: documents), the names of the structural topic model (dataset: topic_names), and the topic_proportions for each document and topic (dataset: topic_proportions) alongside the descriptions the datasets (named "codebook). All the data are available as compr...
Enhancing Basketball Players' Jump Shooting Performance and Neuroplasticity, Kinematic Optimization Through Flash Reflex-Based Sensory-Motor Perception and Balance
May 4, 2025
Khalefa Hassan, Ahmed, 2024, "Enhancing Basketball Players' Jump Shooting Performance and Neuroplasticity, Kinematic Optimization Through Flash Reflex-Based Sensory-Motor Perception and Balance", https://doi.org/10.7910/DVN/AUO8PY, Harvard Dataverse, V2
Data for Ahmed K. Hassan study title "Enhancing Basketball Players' Jump Shooting Performance and Neuroplasticity, Kinematic Optimization Through Flash Reflex-Based Sensory-Motor Perception and Balance".
Data repository for "Impact evaluation in firms and organizations"
May 1, 2025
Huber, Martin, 2024, "Data repository for "Impact evaluation in firms and organizations"", https://doi.org/10.7910/DVN/2P8AY0, Harvard Dataverse, V4, UNF:6:+Wehrns89sJL8xHsfi42xA== [fileUNF]
Data sets as well as R and Python code of the use cases in the book "Impact evaluation in firms and organizations"
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