cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34976/qhyf-va87
title: PMA Nigeria (Kano, Lagos) Phase 3 Household and Female Survey (2022)

description: PMA Nigeria (Kano Lagos) Phase 3 Household and Female survey collects state-level representative data on knowledge, practice, and coverage of family planning services in 25 enumeration areas (EAs) in Kano and 52 EAs in Lagos selected using a multi-stage stratified cluster design with urban-rural strata. The final sample included 834 (99.5%) households and 1,144 (98.8%) females in Kano and 1,588 (93.3%) households and 1,426 (95.1%) females in Lagos who completed the interviews for the cross-sectional survey. The data was collected between December 2021 and January 2022.Kano Phase 3 panel data were collected among women from Phase 1 and Phase 2 who consented to follow-up and aged 15-49y at Phase 3. Of the 1,127 women, 87% were enrolled in the panel survey at Phase 1 between December 2019 and January 2020, and 13% enrolled in the panel survey at Phase 2 between December 2020 and January 2021. Of the women eligible for the panel survey at Phase 3, 11.1% of were not reached for follow-up at Phase 3. Of those reached, 978 (88.7%) completed the survey, for a response rate of 99.6% among contacted women.Lagos Phase 3 panel data were collected among 1,656 women from Phase 1 and Phase 2 who consented to follow-up and aged 15-49y at Phase 3. Of the eligible panel sample, 75.8% of women were enrolled in the panel survey at Phase 1 between December 2019 and January 2020, and 24.2% of women were enrolled in the panel survey at Phase 2 between December 2020 and January 2021. Of the 1,656 women eligible for the panel survey at Phase 3, 21.7% of were not reached for follow-up at Phase 3. Of those reached, 1,258 (76%) completed the survey, for a response rate of 97.1% among contacted women. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/cjvx-z226
DOI: 10.34976/zxee-yr51
title: PMA2020 Nigeria (Kaduna, Lagos) Round 1 Household Female Survey (2014)

description: Nigeria (Kaduna Lagos) Round 1 Household and Female (HQFQ) survey used a three-stage cluster design, with urban-rural as strata in Kaduna. A sample of 66 clusters of enumeration areas (EAs) in Kaduna and 37 clusters of enumeration areas (EAs) in Lagos were drawn from the National Population Commission’s master sampling frame along with a list of EAs contiguous to the index EA. The EAs in Nigeria are usually small, with approximately 48 households on average. To create clusters with a minimum of 200 households, each EA was listed and mapped. If there were fewer than 200 households identified, the next EA in the list of contiguous EAs was listed and mapped in its entirety. If the total number of households was still less than 200, the entirety of the third EA was listed and so on. Each cluster of EAs serves as the primary sampling unit from which 35 households (40 in Lagos) and up to 3 private health facilities in both Kaduna and Lagos were randomly selected. Households were surveyed and occupants enumerated. All eligible females age 15 to 49 were contacted and consented for interviews. The final sample included 2,194 households and 2,569 females in Kaduna; and 974 households and 764 females in Lagos. Data collection was conducted between September and October 2014. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32
DOI: 10.7281/t1/mybqc7
title: Data associated with the publication: Sub-Milankovitch signals in northern Polar Layered Deposits of Mars

description: This data set contains shapefiles for layers and stratigraphic sections, three-dimensional layer orientations, and reconstructed stratigraphic sections of the Martian North Polar Layered Deposit, analyzed in the manuscript “Sub-Milankovitch Signals in Northern Polar Layered Deposits of Mars” by Sotzen et al.
DOI: 10.7281/t1/v4batb
title: Data associated with the publication: Limiting the broadcast range of a secreting cell during intercellular 2 signaling using protease-mediated degradation

description: Synthetic biology is revolutionizing our approaches to biocomputing, diagnostics, and environmental monitoring through the use of designed genetic circuits that perform a function within a single cell. More complex functions can be performed by multiple cells that coordinate as they perform different subtasks. Cell−cell communication using molecular signals is particularly suited for aiding in this communication, but the number of molecules that can be used in different communication channels is limited. Here we investigate how proteases can limit the transmission range of communicating cells. We find that adding barrierpepsin to Saccharomyces cerevisiae cells in two dimensional multicellular networks that use α-factor signaling prevents cells beyond a specific radius from responding to α-factor signals. Such limiting of the broadcast range of cells could allow multiple cells to use the same signaling molecules to direct different communication processes and functions, provided that they are far enough from one another. These results suggest a means by which complex synthetic cellular networks using only a few signals for communication could be created by structuring a community of cells to create distinct broadcast environments.
DOI: 10.34976/6mkm-a674
title: PMA Uganda Phase 3 Household and Female Survey (2022)

description: 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
DOI: 10.34976/716t-1697
title: PMA2020 Côte d’Ivoire Round 2 Household Female Survey (2018)

description: Côte d’Ivoire Round 2 Household and Female (HQFQ) survey data provide representative estimates at the national and urban and rural level. A total of 73 enumerations areas (EAs) were selected by Côte d’Ivoire’s National Statistics Institute, using probability proportional to size, from a sampling frame provided by the Fourth General Census of Population and Housing in 2014. Structures, households, and service delivery points (SDPs) were enumerated in each selected EA. Thirty-five households were selected randomly from each EA. All eligible women, aged 15 to 49, in the sampled households were contacted and consented for interviews. Data collection occurred from July to August 2018. The final database included 2,425 households and 2,797 de facto women. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32
DOI: 10.34976/84k9-8717
title: PMA Niger Phase 4 Client Exit Interview Survey (2024)

description: PMA Niger Phase 4 (NEP4) Client Exit Interview 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 627 clients which completed the interview. Data collection was conducted between November 2023 and February 2024. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/1hrp-p268
DOI: 10.34976/jy5m-3n31
title: PMA2020 Ethiopia Round 1 Household Female Survey (2014)

description: Ethiopia Round 1 Household and Female (HQFQ) survey used a two-stage cluster design with urban-rural and major regions as strata. A sample of 200 enumeration areas (EA) was drawn by the Central Statistical 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. The final sample included 6,772 households, 6,523 females. Data collection was conducted between January and March, 2014. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32
DOI: 10.34976/kkrt-2933
title: PMA2020 Ethiopia Round 2 Service Delivery Point Survey (2014)

description: Ethiopia Round 2 Service Delivery Point (SQ) survey used a two-stage cluster design with urban and rural, major regions as strata. A sample of 200 enumeration areas (EAs) was drawn by the Central Statistical Agency from its master sampling frame. 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 October and December, 2014. The final completed sample in Ethiopia Round 1 was 398 SDPs. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/vfbp-bz42
DOI: 10.34976/m935-xf71
title: PMA Nigeria (Kano, Lagos) Phase 4 Household and Female Survey (2024)

description: PMA Nigeria (Kano & Lagos) Phase 4 Household and Female survey collects state-level representative data on knowledge, practice, and coverage of family planning services in 25 enumeration areas (EAs) in Kano and 52 EAs in Lagos selected using a multi-stage stratified cluster design with urban-rural strata. The final sample included 834 (99.5%) households and 1,187 (98.8%) females in Kano and 1,495 (93.3%) households and 1,250 (95.1%) females in Lagos who completed the interviews for the cross-sectional survey. The data was collected between November 2023 and February 2024.Kano Phase 4 panel data were collected among womenfrom Phase 1, Phase 2, and Phase 3 who consented to follow-up and aged 15-49y at Phase 4. Of the 1,213 women, 73.0% of womenenrolled in the panel survey at Phase 1 between December 2019 and January 2020, 10.6% of womenenrolled in the panel survey at Phase 2 between December 2020 and January 2021, and 16.4% of women enrolled in the panel survey at Phase 3 between December 2021 and January 2022. Of the 1213 women eligible for the panel survey at Phase 4, 19.2%of werenot reached for follow-up. Of those reached, 976 (80.5%) completed the survey, for a response rate of 99.8% among contacted women. The flowchart below provides the details on the loss to follow-up and panel women sample in Kano.Lagos Phase 4 panel data were collected among1720 womenfrom Phase 1, Phase 2 and Phase 3 who consented to follow-up and aged 15-49y at Phase 4. 64.2% of womenenrolled in the panel survey at Phase 1 between December 2019 and January 2020, 19.9% of womenenrolled in the panel survey at Phase 2 between December 2020 and January 2021, and 15.9% of women enrolled in the panel survey at Phase 3 between December 2021 and January 2022. Of the 1720 women eligible for the panel survey at Phase 4, 38.6%of werenot reached for follow-up. Of those reached, 989 (57.5%) completed the survey, for a response rate of 95.6% among contacted women. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/cjvx-z226
DOI: 10.34976/qhh8-m348
title: PMA Niger Phase 1 Service Delivery Point Survey (2021)

description: PMA Niger Phase 1 (NEP1) Service Delivery Point 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 287 facilities which completed the interview. Data collection was conducted between December 2020 and April 2021. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/f0vf-qd73
DOI: 10.34976/r440-e982
title: PMA Niger Phase 1 Client Exit Interview Follow-up Survey (2021)

description: PMA Niger Phase 1 (NEP1) Client Exit Interview Follow-up Survey includes 103 enumeration areas (EAs) selected using a multi-stage stratified cluster design with urban-rural strata. The results representative at the national and regional level. The final sample included 303 clients which completed the interview. Data collection was conducted in July 2021. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/1hrp-p268
DOI: 10.7281/t1/c6mcox
title: Data and software associated with publication "Sensory Cues Modulate Smooth Pursuit and Active Sensing Movements"

description: This project includes data from experiments conducted with weakly electric fish Eigenmannia virescens while tracking a moving refuge. In this project we studied how the sensory cues in the environment modulate the smooth pursuit and active sensing movements of Eigenmannia. To examine this, we altered the visual and electrosensory cues for refuge tracking and measured the fore-aft movements of the fish. Specifically, we altered the length and structure of the refuge and performed experiments with light and in complete darkness. The data were collected in the LIMBS laboratory at JHU. The project includes raw data files for each experiment conducted with the fish, processed data files, and MATLAB scripts for data analysis and reproduction of the result figures of Uyanik and Stamper et al., Frontiers in Behavioral Neuroscience (Special Issue on Active Sensing), 2019.
DOI: 10.7281/t1/dtck4m
title: Overuse Index reported by state

description: We examined overuse among Medicare beneficiaries at the state level by generating the Overuse Index, for each U.S. state and the District of Columbia. We previously created an Overuse Index that uses billing codes for diverse clinical services that act as indicators to reflect the latent tendency of a region to overuse health care resources relative to other regions. We newly operationalized our approach to first measure overuse among Medicare beneficiaries within hospitals and their associated outpatient clinics, before we apply the model to generate the Overuse Index at the levels of interest (health systems, regions, or states.) We accessed 100% of the inpatient and outpatient claims, and the Master Beneficiary Summary files of Medicare beneficiaries from July 2015 through December 2018 through the Center for Medicare and Medicaid Services’ (CMS) Virtual Research Data Center (VRDC). Seventeen indicator procedures contributed to the Overuse Index. This set included five new indicators compared to our earlier work. We ran a model across the 17 indicators with fixed effects for states, indictors, and year-quarter; hospital-level random effects, and hospital-level patient characteristics. The fixed effects for the states are the Overuse Index for that state, and represent the tendency for state-wide overuse of healthcare relative to the average state. This was then normalized so the average is 0 with a S.D. of 1.
DOI: 10.7281/t1vcfas2
title: Data and code associated with the publication: Phase contrast coronary blood velocity mapping with both high temporal and spatial resolution using triggered Golden Angle rotated Spiral k-t Sparse Parallel imaging (GASSP) with shifted binning

description: This work proposes a novel MRI method to measure blood flow and vessel cross-sectional area of the coronary arteries with a higher temporal and spatial resolution compared to currently available methods. The proposed methods includes both a new MRI acquisition method using a triggered golden angle (GA) scheme and a k-t sparse parallel imaging reconstruction algorithm that uses shifted binning that minimizes gaps in k-space to improve image quality. The method is tested in the right coronary artery (RCA) and the left anterior descending (LAD) artery of eight healthy subjects in an IRB approved study, and compared against current methods that have either high spatial or high temporal (but not both) resolutions.
DOI: 10.34976/5m9b-n045
title: PMA2020 Ethiopia Round 2 Household Female Survey (2014)

description: Ethiopia Round 2 Household and Female (HQFQ) survey used a two-stage cluster design with urban-rural and major regions as strata. A sample of 200 enumeration areas (EA) was drawn by the Central Statistical 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. The final completed sample included 6,813 households and 6,648 de facto females. Data collection was conducted between October and December 2014. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32
DOI: 10.7281/t1/ivvfcm
title: Data associated with the publication: Human scent guides mosquito thermotaxis and host selection under naturalistic conditions

description: This archive contains raw videos of mosquito behavior in .h624 format, mosquito trajectories extracted from those videos in .txt or .csv format, weather data in .csv, as well as raw GC/MS files in .mzml format used in the publication.
DOI: 10.17632/7nccngdtm4
title: Biochar modulates microbial- and plant-derived carbon distribution in soil aggregates: Enhancing organic carbon sequestration in paddy fields across different water management practices

description: These data are the original data of the observation of soil organic carbon (SOC), soil aggregate distribution, and plant and microbial derived carbon (C). These data advance our understanding of the mechanisms by which biochar (B) amendment increases SOC sequestration and provide guidance for optimizing C management strategies in paddy fields across different water management practices (FI (flooded irrigation) and CI (controlled irrigation)).
DOI: 10.17632/7nccngdtm4.1
title: Biochar modulates microbial- and plant-derived carbon distribution in soil aggregates: Enhancing organic carbon sequestration in paddy fields across different water management practices

description: These data are the original data of the observation of soil organic carbon (SOC), soil aggregate distribution, and plant and microbial derived carbon (C). These data advance our understanding of the mechanisms by which biochar (B) amendment increases SOC sequestration and provide guidance for optimizing C management strategies in paddy fields across different water management practices (FI (flooded irrigation) and CI (controlled irrigation)).
DOI: 10.21227/zeg4-6060
title: "ErgoEMG20: Wireless sEMG Dataset for Ergonomic Assessment"

description: "This dataset provides raw and processed electromyographic (EMG) data from 20 human subjects along with MATLAB scripts for simulating data loss, reconstructing missing segments, and evaluating the performance of signal envelope estimation under degraded conditions. It enables reproducible testing of signal robustness and restoration algorithms based on realistic scenarios where short-term wireless transmission failures result in partial data loss."
DOI: 10.57780/cr2-4f7e3b8
title: HIGHWAY_Cryo_L2_SIR_LRMI2_

description: CryoSat-2 In-depth L2 Ice Product from LRM Processing in cloud-native data format
DOI: 10.5281/zenodo.15494237
title: Uzbek Secondary School Corpus

description: Uzbek Secondary School Corpus

The "10 sinf" file is a set of tokens from all 10st grade school textbooks.

The "11 sinf" file is a set of tokens from all 11st grade school textbooks.
DOI: 10.5281/zenodo.15494238
title: Uzbek Secondary School Corpus

description: Uzbek Secondary School Corpus

The "10 sinf" file is a set of tokens from all 10st grade school textbooks.

The "11 sinf" file is a set of tokens from all 11st grade school textbooks.
DOI: 10.5281/zenodo.15494314
title: ChatGPT Data Set
DOI: 10.5281/zenodo.15494315
title: ChatGPT Data Set
DOI: 10.15468/dl.p42c6g
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015239-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hu6smn
title: Occurrence Download

description: A dataset containing 1547 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Engelhardia spicata Lesch. ex Blume"
 ]
}

 The dataset includes 1547 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015241-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tksuv
title: Occurrence Download

description: A dataset containing 79814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Podophyllum L."
 ]
}

 The dataset includes 79814 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015236-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vbrxhnrvf2.1
title: Materials Learning Algorithms (MALA): Scalable machine learning for electronic structure calculations in large-scale atomistic simulations

description: We present the Materials Learning Algorithms (MALA) package, a scalable machine learning framework designed to accelerate density functional theory (DFT) calculations suitable for large-scale atomistic simulations. Using local descriptors of the atomic environment, MALA models efficiently predict key electronic observables, including local density of states, electronic density, density of states, and total energy. The package integrates data sampling, model training and scalable inference into a unified library, while ensuring compatibility with standard DFT and molecular dynamics codes. We demonstrate MALA's capabilities with examples including boron clusters, aluminum across its solid-liquid phase boundary, and predicting the electronic structure of a stacking fault in a large beryllium slab. Scaling analyses reveal MALA's computational efficiency and identify bottlenecks for future optimization. With its ability to model electronic structures at scales far beyond standard DFT, MALA is well suited for modeling complex material systems, making it a versatile tool for advanced materials research.