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    553 research outputs found

    PMA2020 Indonesia Round 1 Service Delivery Point Survey (2015)

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    Indonesia Round 1 Service Delivery Point (SQ) survey used a two-stage cluster design with province at the first and census blocks at the second stage. A sample of 372 enumeration areas (EAs) was drawn by the Indonesian Central Bureau of Statistics (BPS) from its master sampling frame to accommodate an oversample for one province (South Sulawesi with 60 EAs) and one district (Makassar, with 37 EAs). 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 June and August 2015. The final completed sample in Indonesia Round 1 was 881 SDPs. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/vfbp-bz42</a

    PMA Burkina Faso Phase 4 Service Delivery Point Survey (2024)

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    PMA Burkina Faso Phase 4 Service Delivery Point Survey includes services in 167 enumeration areas (EAs) selected using a multi-stage stratified cluster design with urban-rural strata. The results are representative at the national level and in the urban/rural areas. Results from Centre region are representative of the urban environment only and results from the Hauts-Bassin region are representative of the region and the urban/rural areas. The final sample included 245 SDPs which completed the interview. The data was collected between December 2023 and February 2024 More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/f0vf-qd73</a

    PMA2020 India (Rajasthan) Round 4 Service Delivery Point Survey (2018)

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    India Round 4 (Rajasthan) Service Delivery Point (SQ) survey used a two-stage cluster design. A sample of 147 enumeration areas (EAs) was drawn by the International Institute for Population Sciences from a master sampling frame. In each EA households and private health facilities were listed and mapped, with 35 households randomly selected. Households were surveyed and occupants enumerated. All eligible females age 15 to 49 were contacted and consented for interviews. The final completed sample included 608 health service delivery points. Private service delivery points (SDPs) in contiguous geographic areas to the EA were included in Rounds 2 to 4 to increase the sample size of private SDPs. Weights were generated to account for oversampling. All estimates are weighted. Data from facility types with sample size less than 10 were calculated, but are not presented in this brief. Data collection was conducted between May and July 2018. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/vfbp-bz42</a

    PMA Niger Phase 2 Client Exit Interview Baseline Survey (2022)

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    PMA Niger Phase 2 (NEP2) Client Exit Interview Baseline Survey includes 103 enumeration areas (EAs) selected using a multi-stage stratified cluster design with urban-rural strata. The results are representative at the national and regional level. The final sample included 743 clients which completed the interview. Data collection was conducted between January 2022 and April 2022. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/1hrp-p268</a

    PMA Kenya Phase 2 Client Exit Interview Follow-up Survey (2021)

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    PMA Kenya Phase 2 (KEP2) Client Exit Interview Follow-up Survey includes 308 enumeration areas (EAs) of selected counties. The EAs were drawn using the multi-stage cluster design with urban-rural strata by the Kenya Bureau of Statistics following the pre-existing sampling frame used for PMA2020. The results are national and county-level representative. The final sample included 3,868 clients which completed the interview. Data collection was conducted between July and August 2021. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/1hrp-p268</a

    Data associated with the publication: Oxidized sulfur species in slab fluids as a source of enriched sulfur isotope signatures in arcs

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    This dataset contains files used for and generated by the EQ3 software (Wolery, 1992), and constitute the results of thermodynamic modeling used to calculate aqueous speciation of fluids at high pressures and temperatures based on thermodynamic properties consistent with the Deep Earth Water model (Huang & Sverjensky, 2019). They constitute the main results discussed in our manuscript entitled “Oxidized sulfur species in slab fluids as a source of enriched sulfur isotope signatures in arcs”. These files are separated into various folders, representing different P-T conditions and chemical systems. The “Newton and Manning model” folder contains files used to construct Figures 1 and 2, and represent our model representation of the high-pressure experiments on anhydrite solubility conducted by Newton and Manning (2005), which was used to constrain the thermodynamic properties of the complexes CaHSO4+, Na2SO4 and CaCl2. The “Subduction zone fluids” folder contains our model subduction zone fluids, equilibrated with subducting mineral assemblages. This folder is subdivided into “Mafic assemblage” and “Ultramafic assemblage”, which are further subdivided by pressure, temperature (2 GPa, 400–700°C; 3GPa, 500–800°C) and oxygen fugacity, reported in log units relative to the fayalite-magnetite-quartz (FMQ) buffer (FMQ-2 to FMQ+4). The output files contain the full chemical speciation predicted by the Deep Earth Water model for fluids in equilibrium with the specified mineralogical assemblages

    Data associated with the publication: The Basal Cambrian carbon isotope excursion (BACE) records a primary seawater signal.

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    This dataset includes carbonate Ca isotope (‰, n = 173) and Mg isotope (‰, n = 42) compositions and Mg/Ca (mmol/mol), Sr/[Ca+Mg] (mmol/mol), Mn/[Ca+Mg] (mmol/mol), and U/[Ca+Mg] (µmol/mol) major and trace elemental ratios (n = 186) of standards and samples from the Dunfee and Esmeralda members of the Deep Spring Formation at Mount Dunfee, NV, the lower Wood Canyon Formation at Echo Canyon, CA, and the La Ciénega Formation at Cerro Rajón, SO. It also includes facies descriptions of the Dunfee and Esmeralda members of the Deep Spring Formation at Mount Dunfee, NV

    Data associated with the publication: An expanded neurogenetic toolkit to decode olfaction in the African malaria mosquito Anopheles gambiae.

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    This archive contains raw calcium imaging .tif stacks and confocal images in .czi format used in the publication

    Data and code associated with the publication: Directing nanoparticle organization in response to diverse chemical inputs

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    The data archive contains the images of DNA frameworks and raw data of plate reader measurements

    Data associated with the publication: Iron oxide nanoparticles inhibit tumor progression and suppress lung metastases in mouse models of breast cancer

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    Systemic exposure to starch-coated iron oxide nanoparticles (IONPs) can stimulate antitumor T cell responses, even when little IONP is retained within the tumor. Here, we demonstrate in mouse models of metastatic breast cancer that IONPs can alter the host immune landscape leading to systemic immune-mediated disease suppression. We report that a single intravenous injection of IONPs can inhibit primary tumor growth, suppress metastases, and extend survival. Gene expression analysis revealed activation of Toll-like receptor (TLR) pathways involving signaling via Toll/Interleukin-1 Receptor domain-containing adaptor-inducing IFN-β (TRIF), a TLR pathway adaptor protein. Requisite participation of TRIF in suppressing tumor progression was demonstrated with histopathologic evidence of upregulated IFN-regulatory factor 3 (IRF3), a downstream protein, and confirmed in a TRIF knockout syngeneic mouse model of metastatic breast cancer. Neither starch-coated polystyrene nanoparticles lacking iron, nor iron-containing dextran-coated parenteral iron replacement agent, induced significant antitumor effects suggesting a dependence on the type of IONP formulation. Analysis of multiple independent clinical databases support a hypothesis that upregulation of TLR3 and IRF3 correlates with increased overall survival among breast cancer patients. Taken together, these data support a compelling rationale to re-examine IONP formulations as harboring anti-cancer immune (nano)adjuvant properties to generate therapeutic benefit without requiring uptake by cancer cells

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