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PMA Nigeria (Kano, Lagos) Phase 1 Service Delivery Point Survey (2020)
PMA Nigeria (Kano & Lagos) Phase 1 Service Delivery Point Survey includes a total of 77 clusters of enumeration areas (EAs) from Kano and Lagos. The EAs were drawn using the stratified cluster design with urban-rural strata from the National Population Commission’s master sampling frame. In each cluster of EAs, households and private health facilities were listed and mapped. Each cluster of EAs serves as the primary sampling unit from which 35 households and up to 3 private health facilities were randomly selected. Public facilities were included if a selected EA fell within the catchment area. The results are state-level representative. The final sample included 192 SDPs (98.0%) which completed the interview. Data collection was conducted between December 2019 and January 2020. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/f0vf-qd73</a
PMA Democratic Republic of Congo (Kinshasa, Kongo Central) Phase 2 Household and Female Survey (2021)
PMA Democratic Republic of Congo (Kinshasa & Kongo Central) Phase 2 Household and Female survey collects state-level representative data on knowledge, practice, and coverage of family planning services in 57 enumeration areas (EAs) in Kinshasa and 57 EAs in Kongo Central selected using a multi-stage stratified cluster design with urban-rural strata. The final sample included 1,866 (90.1%) households and 2,369 (93.0%) de facto females in Kinshasa and 1,891 (93.3%) households and 1,929 (98.3%) de facto females in Kongo Central who completed the interviews for the cross-sectional survey. The data was collected between November 2020 and February 2021.Phase 2 panel data collection was conducted among females aged 15-49 at the time of the Phase 2 survey who were interviewed at the baseline survey between December 2019 and February 2020 and consented to follow-up. In Kinshasa, of the 2549 eligible respondents, 17.8% were not reached for follow-up. Of those reached, 2006 (78.7%) completed the survey, for a response rate of 95.8% among contacted women. In Kongo Central, of the 1902 eligible respondents, 18.1% were not reached for follow-up. Of those reached, 1534 (80.7%) completed the survey, for a response rate of 98.5% among contacted women. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/cjvx-z226</a
PMA India (Rajasthan) Phase 3 Household and Female Survey (2022)
PMA India (Rajasthan) Phase 3 Household and Female Survey collects data in 134 enumeration areas (EAs) using a multi-stage stratified cluster design with urban-rural strata. The results are representative at the national level and within urban/rural strata. The final sample included 4,364 households and 5,481 de facto females who completed the interview for the cross-sectional sample. Data collection was conducted between September and October 2022.PMA India (Rajasthan) Phase 3 panel data collection was conducted among 5,595 females aged 15-49 during the Phase 3 survey who were interviewed at Phase 1 or Phase 2 and consented to follow-up. Among the Phase 3 panel women, 83.1% were enrolled in the panel survey at Phase 1 between August and October 2020, and 16.9% were enrolled in the survey at Phase 2 between September and December 2021. Of the 5,595 eligible respondents, 11.8% were not reached for follow-up at Phase 3. Of those reached, 4,862 (86.9%) completed the Phase 3 survey, for a response rate of 98.3% among contacted women. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/cjvx-z226</a
Data associated with the publication: Leveraging place field repetition to understand positional versus nonpositional inputs to hippocampal field CA1
These data are used to generate the figure panels in Hockeimer et al. The csv and json files contain processed firing rate data while the pickle file contains raw data from all the neurons in the dataset
Data associated with the publication: Optimized periphery-core interface increases fitness of the Bacillus subtilis glmS ribozyme
This dataset is related to a manuscript to be submitted to Nucleic Acids Research, describing high-throughput mutational screen and molecular dynamics simulation of a ribozyme.
Like other functional RNAs, ribozymes encode a conserved catalytic center supported by peripheral domains that vary among ribozyme sub-families. To understand how core-periphery interactions contribute to ribozyme fitness, we compared the cleavage kinetics of all single base substitutions at 152 sites across the Bacillus subtilis glmS ribozyme by high-throughput sequencing (ClvSeq). The in vitro activity map mirrored phylogenetic sequence conservation in glmS ribozymes, indicating that biological fitness reports all biochemically important positions. The results showed that most deleterious mutations lower activity by impairing ribozyme self-assembly. All-atom molecular dynamics simulations of the complete ribozyme revealed how individual mutations in the core or the IL4 peripheral loop rewire the network of hydrogen bonds around the catalytic site. Peripheral IL4 mutations introduce a non-native tertiary interface that corrupts folding of the wild type core, eliminating activity. The results illustrate how competition between native and non-native structures in RNA drives the natural selection of central and peripheral tertiary interaction motifs
Data associated with the publication: Auditory hair cells and spiral ganglion neurons regenerate synapses with refined release properties in vitro
This study utilizes inner hair cell (IHC) optogenetic stimulation and spiral ganglion neuron (SGN) recordings, showing that, when P3-5 denervated organs of Corti are co-cultured with SGNs, newly formed IHC/SGN synapses are indeed functional, exhibiting glutamatergic excitatory postsynaptic currents.
This shared dataset compiles all the raw patch clamp recordings performed from SGNs in response to hair cell stimulation, either from freshly excised cochlear explants or from co-cultures. We are also providing the MATLAB analysis performed for each of these SGN recordings. All EPSC parameters extracted from the MATLAB analysis are also gathered in excel spreadsheets accompanied with their statistical analysis in GraphPad prism.
We are also providing all raw patch clamp recordings directly performed from IHCs in different conditions, from which we are sharing the analysis of cell membrane capacitance, membrane potential (Vm), potassium and light-induced currents
Data and code associated with the publication: Improving IDS performance with XGBoost: hyperparameter optimization and real-time analysis
The RS2024 dataset features logs generated by network load balancers (Layer 4) and application load balancers (Layer 7). It includes identified attack traffic through detailed payload analysis, making it ideal for testing Network Intrusion Detection Systems (NIDS) in real-time enterprise scenarios.
The GC2024 dataset comprises Zeek network logs, offering a combination of attack traffic and bot traffic sourced from public repositories. This data was obtained from an AWS Elastic Compute Cloud (EC2) instance, presenting a varied setting for assessing security systems.
The network intrusion detection model using the eXtreme Gradient Boosting (XGBoost) algorithm was trained on a combined dataset that includes UNSW-NB15, CICIDS2017, TON_IoT, RS-2024, and GC-2024. The model, saved in joblib format, is ready for deployment and can be used for further analysis
PMA2020 Ethiopia Round 5 Household & Female Survey (2017)
Ethiopia Round 5 Household and Female (HQFQ) survey used a two-stage cluster design with urban-rural and major regions as strata. For this survey round, a new set of 221 enumeration areas (EAs) were selected, adjacent to EAs used in the previous four rounds, drawn by the Central Statistics Agency from its master sampling frame. Each EA was listed and mapped; 35 households were randomly selected. Occupants in selected households were enumerated and eligible females of reproductive age (15-49) were contacted and consented for interview. Data collection was conducted between April and May, 2017. The final sample includes 7,616 complete household interviews and 7,464 complete female interviews. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32</a
PMA2020 Democratic Republic of Congo (Kinshasa, Kongo Central) Round 6 Service Delivery Point Survey (2017)
Democratic Republic of Congo (Kinshasa) Round 6 Service Delivery Point (SQ) survey used a two-stage cluster design. A sample of 58 enumeration areas (EAs) was drawn. Each EA was listed and mapped. Public facilities were included if a selected EA fell within the catchment area. Private facilities were included if they fell within the boundaries of the EA. Data collection was conducted between September and November, 2017. The final completed sample was 175 SDPs.Democratic Republic of Congo (Kongo Central) Round 6 Service Delivery Point (SQ) survey used a two-stage cluster design. A sample of 52 enumeration areas (EAs) was drawn. Each EA was listed and mapped. Public facilities were included if a selected EA fell within the catchment area. Private facilities were included if they fell within the boundaries of the EA. Data collection was conducted between September and November, 2017. The final completed sample was 115 SDPs. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/vfbp-bz42</a
PMA Uganda Phase 3 Household and Female Survey (2022)
PMA Uganda Phase 3 Household and Female Survey collects data in 141 enumeration areas (EAs) using a multi-stage stratified cluster design with urban-rural strata. The results are representative at the national level and within urban/rural strata. The final sample included 4,430 households and 4,227 de facto females who completed the interview for the cross-sectional sample. Data collection was conducted between September and October 2022.Phase 3 panel data collection was conducted among 5,245 females aged 15-49 at the time of the Phase 3 survey who were interviewed at Phase 1 or Phase 2 and consented to follow-up. Among the Phase 3 panel women, 64.7% of them were enrolled in the panel survey at Phase 1 between September and October 2020, and 35.3% were enrolled in the panel survey at Phase 2 between September and November 2021. Of the 5,245 eligible respondents, 26.9% were not reached for follow-up at Phase 3. Of those reached, 3,751 (71.5%) completed the Phase 3 survey, for a response rate of 97.9% among contacted women. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/cjvx-z226</a