cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7281/t1/ljzqpi
title: Data association with the publication entitled: 'Demonstrating the Impact of POLST Forms on Hospital Care Requires Information not Contained in State Registries'

description: Files contain project data and statistical code in R associated with the related publication. Background: Physician Orders for Life-Sustaining Treatment (POLST) programs have expanded rapidly, but evaluating their impact on hospital care is challenging. Objectives: To demonstrate how careful study design can reveal POLST’s impact at hospital admission and why analyses of state registry data are unlikely to capture POLST’s effects. Design: Prospective cohort study Setting and Participants: Adult in-patients with Do Not Intubate and/or Do Not Resuscitate (DNR/I) orders in the electronic medical record at the time of discharge from Johns Hopkins Hospital over 18 months. For patients with unplanned readmissions within 30 days, records were reviewed to determine if a Maryland Medical Order for Life-Sustaining Treatment (MOLST) form was presented and for the time from readmission to a DNR/I order in the EMR. Analyses were stratified by whether patients could communicate or were accompanied by a proxy at readmission. Results: Among 1,507 patients with DNR/I orders at discharge, 124 (8%) had unplanned readmissions, 112 (90%) could communicate or were accompanied by a proxy at readmission, and 12 (10%) could not communicate and were unaccompanied. For patients who were unaccompanied and could not communicate, MOLST significantly decreased the median time from readmission to DNR/I order (1.2 vs 27.1 hours, P=.001), but this association was greatly attenuated among patients who could communicate or were accompanied by a proxy (16.4 vs 25.4 hours P=.10). Conclusion: Among patients who wanted to avoid intubation and/or CPR, MOLST forms were protective when the patient was unaccompanied by a healthcare proxy at admission and could not communicate. Fewer than 10% of patients met these criteria during unplanned readmissions, and state registry data does not allow this sub-population to be identified.
DOI: 10.7281/t1/ujo8ez
title: Data associated with the publication: Designing n-type all-ionic thermoelectric polymers with improved air stability via a solution-processing anion exchange technique.

description: This dataset contains original instrument data for material conductivities, Seebeck coefficients, and electron microscopy of ionic polymer films used in a thermoelectric effect study.
DOI: 10.7281/t1/w2ag3a
title: Data associated with the publication: A clinical score for identifying active tuberculosis while awaiting microbiological results: development and validation of a multivariable prediction model in sub-Saharan Africa

description: This dataset includes parts of two studies: the Kharitode study and the STOMP-TB study. The Kharitode study is a cluster-randomized controlled trial of tuberculosis contact investigation against facility-based screening in Limpopo Province, South Africa. It includes participants above 15 years of age who presented with tuberculosis symptoms at the 28 primary health clinics randomized to facility-based screening between July 2016 and January 2018. The STOMP-TB study is population-based tuberculosis survey, conducted in Kampala, Uganda. It includes adult participants above 15 years of age who presented with tuberculosis symptoms at four healthcare facilities between May 2018 and December 2019.
DOI: 10.7281/t1/xol4br
title: Data associated with the publication: Does chatting with chatbots improve language learning performance? A meta-analysis of chatbot-assisted language learning

description: Given the importance of conversation practice in language learning, chatbots, especially ChatGPT, have attracted considerable attention for their ability to converse with learners using natural language. This review contributes to the literature by examining the currently unclear overall effect of using chatbots on language learning performance and comprehensively identifying important study characteristics that affect the overall effectiveness. We meta-analyzed 70 effect sizes from 28 studies, using robust variance estimation. The effects were assessed based on 18 study characteristics about learners, chatbots, learning objectives, context, communication/interaction, and methodological and pedagogical designs. Results indicated that using chatbots produced a positive overall effect on language learning performance (g = 0.486), compared to non-chatbot conditions. Moreover, four characteristics (i.e., educational level, language level, interface design, and interaction capability) affected the overall effectiveness. In an in-depth discussion on how the 18 characteristics are related to the effectiveness, future implications for practice and research are presented.
DOI: 10.7281/t1/yc5bs6
title: Data associated with the publication: A quantitative acoustic analysis of the vocal repertoire of the common marmoset (Callithrix jacchus).

description: Vocal recordings from marmoset colony, categorized by call types and subjects.
DOI: 10.34976/1bgg-9e85
title: PMA2020 Ethiopia Round 4 Household Female Survey (2016)

description: Ethiopia Round 4 Household and Female (HQFQ) survey used a two-stage cluster design with urban-rural and major regions as strata. A sample of 221 enumeration areas (EAs) 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 7,651 households and 7,538 females. Data collection was conducted between March and April, 2016. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32
DOI: 10.34976/meqv-3s60
title: PMA2020 Uganda Round 6 Service Delivery Point Survey (2018)

description: Uganda Round 6 Service Delivery Point (SQ) survey used a two-stage cluster design with urban-rural and region as strata. The project used the same set of 110 enumeration areas (EAs) as those that were selected in the previous round and drawn by the Uganda Bureau of Statistics from its master sampling frame. In each EA, health facilities were listed and mapped. The final sample (and completion rates) included 342 health facilities. Data collection was conducted between April to May 2018. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/vfbp-bz42
DOI: 10.34976/p6hd-jw32
title: PMA2020 Niger (Niamey) Round 3 Service Delivery Point Survey (2016)

description: Niger (Niamey) Round 3 Service Delivery Point (SQ) survey used a sampling strategy stratified by Niamey’s 5 communes to select a total of 33 enumeration areas (EAs), drawn from the sampling frame provided by the 2012 General Census of Population and Housing conducted by Niger’s National Statistics Institute (INS). 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 November and December 2016. The final sample is 27 complete SDP surveys. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/vfbp-bz42
DOI: 10.34976/rhsk-mh20
title: PMA2020 Indonesia Round 1 Service Delivery Point Survey (2015)

description: 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
DOI: 10.34976/wp4z-pq61
title: PMA India (Rajasthan) Phase 1 Client Exit Interview (2020)

description: PMA India (Rajasthan) Phase 1 Client Exit Interview Survey includes 134 enumeration areas (EAs) selected using a multi-stage stratified cluster design with urban-rural and region strata. The results representative at the sub-national level and within urban/rural strata. The final sample included 521 clients which completed the interview. Data collection was conducted between August and November 2020. 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/sg0738
title: Data associated with the publication: Taxonomy-based prompt engineering to generate synthetic drug-related patient portal messages

description: This dataset is a part of "Taxonomy-Based Prompt Engineering to Generate Synthetic Drug-Related Patient Portal Messages study". The dataset contains synthetic patient portal messages on drug related problems. The messages were generated using prompt engineering based on the taxonomy of patient-generated messages from the patient portal. This dataset aims to provide researchers with access to drug-related patient portal synthetic messages. The dataset contains 450 generated messages, which can be categorized into 2 groups. The first group was generated from all prompt options, derived from the taxonomy, with no specific race of the patient (200 messages). The second group was generated using subset of prompt options with specific race information. This group contains 50 messages for each race, including White, American Indian or Alaska Native, Black or African American, Asian, and Native Hawaiian or Other Pacific Islander (total 250 messages). All the messages are accompanied by prompt used for generating the message, taxonomy group, medication name, race, and urgency level.
DOI: 10.7281/t1/wboohg
title: Data and code associated with the publication: Improving IDS performance with XGBoost: hyperparameter optimization and real-time analysis

description: 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.
DOI: 10.7281/t1/xnzrr8
title: Data associated with the publication: The combined influence of polythiophene side chains and electrolyte anions on organic electrochemical transistors

description: The data consists of graphs and spreadsheets showing the device response for different combinations of receptor polymers with electrolyte anions in electrochemical transistors. The data are organized according to the manuscript figures that they support. The files are the sources of data used to construct the plots that report the observations and trends in the manuscript.
DOI: 10.7281/t1/xz0cgj
title: Fertility clinic locations and details in the United States

description: Dataset contains locations and details of fertility clinics in the United States. A systematic web-search completed in January 2021 of Assisted Reproductive Technology (ART) clinics in the United States found 471 main clinics with embryology labs and 586 satellite clinics without embryology labs for a total of 1,057 clinic locations in the United States performing or facilitating ART. A few assumptions were made about the details of the clinics. First, it was assumed that the medical director was the medical director listed in the 2018 Success Rates data from the CDC. All main clinics were assumed to be open to the public Monday through Friday unless otherwise specified on the practice’s website. For satellite clinics, it was assumed if not listed online that the services provided offered at that location were: consultations, bloodwork, and ultrasound monitoring. For main clinics, it was assumed if not listed online that the services provided were: consultations, bloodwork, ultrasound monitoring, intrauterine insemination, in vitro fertilization, semen analysis, saline infusion sonohysterogram (SHG or SIS), and hysterosalpingogram (HSG). Dataset derived from the Centers for Disease Control and Prevention’s ART Success Rates 2018 dataset (ART Success Rates. US Centers for Disease Control and Prevention. Accessed December 19, 2020. https://www.cdc.gov/art/artdata/index.html). ArcGIS Survey123 system used for systematic data entry using the following web form: https://arcg.is/j8Hrf. Dataset also available via the Fertility Clinic Finder web app: https://gisanddata.maps.arcgis.com/apps/webappviewer/index.html?id=3e073183ee824e2dae5900da1774ba4b.
DOI: 10.34976/5w8e-8512
title: PMA Kenya Phase 1 Client Exit Interview (2019)

description: PMA Kenya Phase 1 (KEP1) Client Exit Interview Survey includes 308 enumeration areas (EAs) of selected counties. The national sample is composed of the existing 115 PMA2020 EAs which were refreshed and supplemented with the new EAs. The new EAs were drawn using the same stratified 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 3,930 women (99.9%) which completed the interview. Data collection was conducted between November and December 2019. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/1hrp-p268
DOI: 10.34976/b5eg-a867
title: PMA2020 Nigeria Round 5 Household Female Survey (2018)

description: Nigeria (National) Round 5 Household and Female (HQFQ) survey used a three-stage sampling approach within a sample of seven states - Anambra, Kaduna, Kano, Lagos, Nasarawa, Rivers, Taraba. One state per zone was selected using probability proportional to size from among each of Nigeria’s six zones. The seventh state (Kaduna) was allocated to the northwest zone. A total of 302 clusters of enumeration areas (EAs) were drawn from the National Population Commission’s master sampling frame. In each cluster of EAs, households and private health facilities were listed and mapped; 35 households (40 in Lagos) were selected per cluster of EAs. Occupants in selected households were enumerated and eligible females of reproductive age (15-49) were contacted and consented for interview. The final sample included 10,070 households and 11,284 females. Data collection was conducted between April and May 2018 in all states. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32
DOI: 10.34976/bmk4-wd74
title: PMA2020 Nigeria (Kaduna, Lagos) Round 2 Service Delivery Point Survey (2015)

description: Nigeria (Kaduna Lagos) Round 2 Service Delivery Point (SQ) survey used a three-stage cluster design, with urban-rural as strata in Kaduna. A sample of 60 clusters of enumeration areas (EAs) in Kaduna and 51 clusters enumeration areas (EAs) in the urban stratum 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 index 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 were randomly selected. 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. The final sample included 154 SDPs in Kaduna and 123 SDPs in Lagos. Data collection was conducted between August and September 2015. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/vfbp-bz42
DOI: 10.34976/dgpr-sz30
title: PMA Democratic Republic of Congo (Kinshasa, Kongo Central) Phase 3 Household and Female Survey (2022)

description: PMA Democratic Republic of Congo (Kinshasa Kongo Central) Phase 3 Household and Female Survey collects data in 115 enumeration areas (EAs) using a multi-stage stratified cluster design with urban-rural strata. The results are representative at the national and province levels and within urban/rural strata. The final sample included 2,507 households for Kinshasa, 2,114 for Kongo Central, 3,126 de facto females for Kinshasa, and 2,114 de facto females for Kongo Central who completed the interview for the cross-sectional sample. Data collection was conducted between November 2021 and March 2022.Kinshasa Phase 3 panel data collection was conducted among 2,090 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, 72% of them were enrolled in the panel survey at Phase 1 between November and December 2020, and 28% were enrolled in the panel survey at Phase 2 between November and January 2021. Of the 2090 eligible respondents, 18.5% were not reached for follow-up at Phase 3. Of those reached, 2,366 (79.1%) completed the Phase 3 survey, for a response rate of 97% among contacted women.Kongo central Phase 3 panel data collection was conducted among 2,086 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, 74.1% of them were enrolled in the panel survey at Phase 1 between November and December 2020, and 25.9% were enrolled in the panel survey at Phase 2 between November and January 2021. Of the 2086 eligible respondents, 26% were not reached for follow-up at Phase 3. Of those reached, 1,529 (73.3%) 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
DOI: 10.34976/g1p8-6074
title: PMA2020 Uganda Round 4 Service Delivery Point Survey (2016)

description: Uganda Round 4 Service Delivery Point survey (SQ) used a two-stage cluster design with sub-region as strata. A sample of 110 enumeration areas (EAs) was drawn by the Uganda Bureau of Statistics 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 March and May, 2016. The final completed sample in Uganda Round 4 was 350 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/nze3-7040
title: PMA Côte d’Ivoire Phase 2 Service Delivery Point Survey (2022)

description: PMA Côte d’Ivoire Phase 2 Service Delivery Point Survey includes 122 enumeration areas (EAs) selected using a multi-stage stratified cluster design with urban-rural and region strata. The results are representative at the national level and within urban/rural strata. The final sample included 216 facilities which completed the interview. Data collection was conducted between September 2021 and January 2022. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/f0vf-qd73
DOI: 10.34976/yek4-ps60
title: PMA Kenya Phase 2 Client Exit Interview Follow-up Survey (2021)

description: 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
DOI: 10.7281/t1/dg7rdp
title: Data associated with Gnanadesikan, Kim, and Pradal, Impact of colored dissolved materials on the annual cycle of sea surface temperature: Potential implications for extreme ocean temperatures

description: Because colored dissolved materials (CDMs) trap incoming sunlight closer to the surface, they have the potential to affect sea surface temperatures. We compare two models, one with and one without CDMs, and show that their presence leads to an increase in the amplitude of the seasonal cycle over coastal and northern subpolar regions, which may exceed 2°C. The size and sign of the change are controlled by the interplay between enhanced shortwave heating of the surface, shading and cooling of the subsurface and the extent to which these are connected by vertical mixing. The changes in the seasonal cycle largely explain changes in the range of temperature extremes, an aspect of climate with important implications for ecosystem cycling. The modeled changes associated with CDMs have an intriguing resemblance to the observed trend in the annual cycle seen in recent decades, suggesting that more attention be paid to the role of “ocean yellowing” in global change.
DOI: 10.7281/t1/pxcqcc
title: Data associated with “Direct Effects of CO2 Radiative Forcing on Ocean Heat Content and Circulation”

description: Output of atmospheric general circulation model (GCM) simulations are used to force an ocean-only GCM with comprehensive boundary conditions to examine the impact of direct atmospheric effects on ocean heat content. Perturbation simulations with prescribed response to quadrupling of atmospheric CO2 include altered surface winds, freshwater fluxes, and downwelling shortwave radiation.
DOI: 10.7281/t1/xgvrx0
title: Data associated with the publication: Nanoscale boreceptor layers comprising carboxylated polythiophene for organic electrochemical transistor-based biosensors

description: From the publication abstract: We investigated the carboxylated conjugated polymer poly 3-(3-carboxypropyl)thiophene-2,5-diyl as a nanosized (200–350 nm) biomolecule receptor layer on the channel of organic electrochemical transistor (OECT) devices. Myelin basic protein, SARS-CoV-2 spike glycoprotein S1, and their antibodies (10 nm size scale) were alternately used in the attached molecule form as receptors and analytes. Sub-ng detection in buffer was observed, and response to S1 was also obtained in clinical serum. Changes in threshold voltage and current output from OECT transfer curves and measurements of open circuit potential between receptor layers and a reference electrode provided complementary responses and insight into the response mechanisms, guiding further development of electrochemical field-effect and voltammetric protein sensors based on polymeric active layers with nanoscale functionality.