201 to 210 of 269 Results
Mar 15, 2023
Datasets and related dictionaries for PlosONE manuscript. "Dataset-I": focuses on the thorough comparisons of co-extracted RNA and DNA quantity and quality according to technical details (e.g., elution, cellularity), logistics (time elapsed between block sectioning and co-extraction), clinicopathologic characteristics, omics testing QC, and RNA and... |
Mar 15, 2023
The Ware Research Team within the Department of Global Health and Social Medicine at Harvard Medical School conducts qualitative research on HIV prevention, care and treatment in sub-Saharan Africa. All "restricted" data found in the Ware Research Team Dataverse require the completion of an Application for Data Use form. |
Mar 14, 2023
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Mar 10, 2023
This dataverse contains datasets related to the Underground Railroad. |
Mar 9, 2023EnerSHelF WP3 Data
This dataverse is summarising the results of the energy system modelling to support the paper "Increasing energy self-sufficiency for health facilities in Ghana through solar power - a geospatial-supported energy system modelling approach" |
Mar 9, 2023EnerSHelF WP3 Data
This dataverse is summarising the results of the geospatial analysis conducted to support the paper "Increasing energy self-sufficiency for health facilities in Ghana through solar power - a geospatial-supported energy system modelling approach" |
Mar 9, 2023
Data provided in this dataverse is collected, acquired and processed within the EnerSHelF (Energy Supply for Healthcare Facilities in Ghana) project financed by the German Federal Ministry of Education and Research (BMBF). Funding period: 01.06.2019 – 31.03.2023. BMBF funding grant number 03SF0567C. For additional information, please visit: https:/... |
Mar 8, 2023
Invest in Open Infrastructure (IOI) has opted to populate and maintain its citable research on Zenodo at https://zenodo.org/communities/investinopen. Please visit the link for our most current records, and visit https://investinopen.org to learn more about our organization. |
Mar 7, 2023
Project Layline is a research initiative that aims to leverage high performance and cloud computing to create publicly accessible datasets for research in financial economics. It lowers barriers to entry by democratizing access to data and also brings increased transparency to the field by facilitating replication studies. |