Automated Organization ProfileStellenbosch University
Stellenbosch University
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1420.4 (sum of 1,033 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Public use dataset from the Consortium for the Evaluation and Performance of HIV Incidence Assays (CEPHIA)'s evaluations of HIV recency assays. Samples tested by CEPHIA were obtained from numerous collaborators. See the acknowledgements below:FundingCEPHIA was supported by grants from the Bill and Melinda Gates Foundation (OPP1017716 to G.M., OPP1062806 to C.D.P. and OPP1115799). Additional support for analysis was provided by a grant from the US National Institutes of Health (R34 MH096606 to C.D.P.) and by the South African Department of Science and Technology and the National Research Foundation. Specimen and data collection were funded in part by grants from the NIH (P01 AI071713, R01 HD074511, P30 AI027763, R24 AI067039, U01 AI043638, P01 AI074621 and R24 AI106039); the HIV Prevention Trials Network (HPTN) sponsored by the NIAID, National Institutes of Child Health and Human Development (NICH/HD), National Institute on Drug Abuse, National Institute of Mental Health, and Office of AIDS Research, of the NIH, DHHS (UM1 AI068613 and R01 AI095068); the California HIV-1 Research Program (RN07-SD-702); Brazilian Program for STD and AIDS, Ministry of Health (914/BRA/3014-UNESCO); and the São Paulo City Health Department (2004-0.168.922– 7). Selected samples from International AIDS Vaccine Initiative (IAVI)-supported cohorts were funded by IAVI with the generous support of USAID and other donors; a full list of IAVI donors is available at www.iavi.org.AcknowledgementsThe Consortium for the Evaluation and Performance of HIV Incidence Assays (CEPHIA) comprises: Alex Welte, Joseph Sempa, formerly: David Matten, Hilmarie ́ Brand, Trust Chiba- wara (South African Centre for Epidemiological Modelling and Analysis, Stellenbosch Univer- sity); Gary Murphy, Jake Hall, formerly: Elaine Mckinney (Public Health England); Michael P. Busch, Eduard Grebe, Shelley Facente, Dylan Hampton, Sheila Keating, formerly: Mila Lebe- deva (Vitalant Research Institute, formerly Blood Systems Research Institute); Christopher D. Pilcher, Kara Marson (University of California San Francisco); Reshma Kassanjee (University of Cape Town); Oliver Laeyendecker, Thomas Quinn, David Burns (National Institutes of Health); Susan Little (University of California San Diego); Anita Sands (World Health Organi- zation); Tim Hallett (Imperial College London); Sherry Michele Owen, Bharat Parekh, Connie Sexton (Centers for Disease Control and Prevention); Matthew Price, Anatoli Kamali (Interna- tional AIDS Vaccine Initiative); Lisa Loeb (The Options Study—University of California San Francisco); Jeffrey Martin, Steven G Deeks, Rebecca Hoh (The SCOPE Study—University of California San Francisco); Zelinda Bartolomei, Natalia Cerqueira (The AMPLIAR Cohort— University of São Paulo); Breno Santos, Kellin Zabtoski, Rita de Cassia Alves Lira (The AMPLIAR Cohort—Grupo Hospital Conceic ̧ão); Rosa Dea Sperhacke, Leonardo R Motta, Machline Paganella (The AMPLIAR Cohort—Universidade Caxias Do Sul); Esper Kallas, Helena Tomiyama, Claudia Tomiyama, Priscilla Costa, Maria A Nunes, Gisele Reis, Mariana M Sauer, Natalia Cerqueira, Zelinda Nakagawa, Lilian Ferrari, Ana P Amaral, Karine Milani (The São Paulo Cohort—University of São Paulo, Brazil); Salim S Abdool Karim, Quarraisha Abdool Karim, Thumbi Ndungu, Nelisile Majola, Natasha Samsunder (CAPRISA, University of Kwazulu-Natal); Denise Naniche (The GAMA Study—Barcelona Centre for International Health Research); Ina ́cio Mandomando, Eusebio V Macete (The GAMA Study—Fundacao Manhica); Jorge Sanchez, Javier Lama (SABES Cohort—Asociacio ́n Civil Impacta Salud y Educacio ́n (IMPACTA)); Ann Duerr (The Fred Hutchinson Cancer Research Center); Maria R Capobianchi (National Institute for Infectious Diseases “L. Spallanzani”, Rome); Barbara Suligoi (Istituto Superiore di Sanità, Rome); Susan Stramer (American Red Cross); Phillip Wil- liamson (Creative Testing Solutions / Vitalant Research Institute); Marion Vermeulen (South African National Blood Service); and Ester Sabino (Hemocentro do São Paolo).
Authors
- Grebe, Eduard ;
- Facente, Shelley N. ;
- Hampton, Dylan ;
- Marson, Kara ;
- Hall, Jake ;
- McKinney, Elaine ;
- Lebedeva, Mila ;
- Parkin, Neil ;
- Keating, Sheila M. ;
- Kassanjee, Reshma ;
- Pilcher, Christopher D. ;
- Murphy, Gary ;
- Busch, Michael P. ;
- Welte, Alex
This is an overview of previously conducted dust studies in various areas, including the location of the dust collection, the metal content present in the dust, metal mass, dust amount analysed, dust flux, deposition rate and concentration in the air, as well as the mixed layer depth of the marine environment over which the dust was collected (if mentioned in the study). Additional information, such as the collection period etc, is also visible. The references for the original work are in a separate sheet.
Authors
- Wium, Emtia
This document consists of two datasets: (1) Table 1 Dust loads and (2) Table 2 Metal Content. The first table provides an overview of previously published work on the impact of dust loads on marine phytoplankton from various regions, while the second table describes the effect of metal content, as determined from dust, on phytoplankton. The location of the phytoplankton collected and the dust utilised during the experiments is described, as well as the effect on phytoplankton groups/ species. The references for each table are noted in a separate sheet.
Authors
- Wium, Emtia
This document consists of two datasets: (1) Table 1 Dust loads and (2) Table 2 Metal Content. The first table provides an overview of previously published work on the impact of dust loads on marine phytoplankton from various regions, while the second table describes the effect of metal content, as determined from dust, on phytoplankton. The location of the phytoplankton collected and the dust utilised during the experiments is described, as well as the effect on phytoplankton groups/ species. The references for each table are noted in a separate sheet.
Authors
- Wium, Emtia
This is an overview of the data compiled from various cruises and contained within the GEOTRACES IDP (2021, v2). Here, the data is organised according to the locations and cruises. The concentrations of Cu, Cd, Zn, Mn, Fe and Pb in the air are presented. The reference for the GEOTRACES IDP is in a separate sheet.
Authors
- Wium, Emtia
This is an overview of previously conducted dust studies in various areas, including the location of the dust collection, the metal content present in the dust, metal mass, dust amount analysed, dust flux, deposition rate and concentration in the air, as well as the mixed layer depth of the marine environment over which the dust was collected (if mentioned in the study). Additional information, such as the collection period etc, is also visible. The references for the original work are in a separate sheet.
Authors
- Wium, Emtia
Structural (MAKER) and functional (eggNOG-mapper) annotation files for C. sorokiniana, including GFF3 models, evidence alignments, protein and cds files, BUSCO results, genome annotation statistics and the functional annotation results (GO, KEGG, PFAM). The sequencing data for the C. sorokiniana strain was generated in previous work by Naidoo et al. (2019).
Authors
- Reddy, Jneya
Structural (MAKER) and functional (eggNOG-mapper) annotation files for C. sorokiniana, including GFF3 models, evidence alignments, protein and cds files, BUSCO results, genome annotation statistics and the functional annotation results (GO, KEGG, PFAM). The sequencing data for the C. sorokiniana strain was generated in previous work by Naidoo et al. (2019).
Authors
- Reddy, Jneya
No description available
Authors
- Gaspary, Mwanyika