cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7281/t1/nu0vs7
title: Data associated with the publication: Similarities in storage and transport of sulfate in forested and suburban watersheds, despite anthropogenically elevated suburban sulfate

description: This study focuses on differences in sources and dynamics of sulfate in a forested versus suburban streams in an unglaciated region underlain by schist. Sulfate in streams is both an important nutrient and potential pollutant that is linked with the nitrogen, carbon, and phosphorus cycles. There are uncertainties about how suburban sulfate sources including septic, fertilizer, road salt, and infrastructure impact sulfate fluxes. We studied suburban and forested headwater catchments nested within a 381-ha catchment to estimate the magnitude of sulfate sources and evaluate the effects of land use on transport to streams. Data for this study include discharge, sulfate concentrations, water hydrogen and oxygen values, and sulfate sulfur and oxygen isotope data, as well as results of models described in the paper.
DOI: 10.7281/t1/vdzazy
title: Data associated with the publication: Success for All: A Quantitative Synthesis of U. S. Evaluations

description: Success for All (SFA) is a comprehensive whole-school approach designed to help high-poverty elementary schools increase the reading success of their students. It is designed to ensure success in grades K-2 and then build on this success in later grades. SFA combines instruction emphasizing phonics and cooperative learning, one-to-small group tutoring for students who need it in the primary grades, frequent assessment and regrouping, parent involvement, distributed leadership, and extensive training and coaching. Over a 33-year period, SFA has been extensively evaluated, mostly by researchers unconnected to the program. This quantitative synthesis reviews the findings of these evaluations. Seventeen U.S. studies meeting rigorous inclusion standards had a mean effect size of +0.24 (p &lt; .05) on independent measures. Effects were largest for low achievers (ES = +0.54, p &lt; .01). Although outcomes vary across studies, mean impacts support the effectiveness of Success for All for the reading success of disadvantaged students.
DOI: 10.7281/t1/xtj1yp
title: Retrospective land surface model hydrological simulations for Ethiopia 1981-2017

description: This dataset includes daily output of a simulation performed with the Noah Land Surface Model v3.6. The simulation was performed at 0.05 degree resolution (nominally 5km) for all of Ethiopia for the period 1981-2017. Meteorological forcing was drawn from the NASA Modern Era Reanalysis for Research and Applications, version 2 (MERRA-2), downscaled based on local topography and supplemented with Climate Hazards Group InfraRed Precipitation with Stations v2 (CHIRPSv2) rainfall estimates. Simulation outputs include gridded downscaled meteorological fields, along with simulated surface water and energy fluxes and storages.
DOI: 10.7281/t19g5jrc
title: Data associated with the publication: Integrated Community Case Management of childhood illness (iCCM) project

description: As a part of the Catalytic Initiative to Save a Million Lives, the Integrated Community Case Management of Childhood Illness (iCCM) project sought to demonstrate that rapid scale-ups in coverage for proven interventions would lead to reductions in under-five mortality in Burkina Faso, Malawi, and Ethiopia.
DOI: 10.7281/t1pn93hh
title: Immigrant Incorporation in East Asian Democracies (IIEAD) Project: Focus Group Interviews in Japan [collection]

description: Immigrant Incorporation in East Asian Democracies (Cambridge University Press, 2020) is based on 31 months of fieldwork conducted in Japan, South Korea, and Taiwan from 2009 to 2016. This book examines how the civic legacies of past struggles for democracy shape current movements for immigrant rights. Examining three industrial democracies in Northeast Asia with overlapping immigration and citizenship policies, immigrant populations, and immigration histories, this book offers insights into the gaps between state policies and immigrant political behavior across similarly situated countries. In addition to comparing policy reforms, state-institutionalized rights for migrants, and immigrant incorporation policies, programs, and services, this project seeks to better understand the process of political incorporation through the lens of migrants themselves. In order to understand the incentives and disincentives for particular forms of political engagement as well as immigrant strategies for political empowerment, the methods employed must allow the respondents to generate their own questions, concepts, and categorizations. In addition to Japanese, South Korean, and Taiwanese government publications and archival materials, the project relies on a combination of questionnaires, over 150 in-depth interviews with immigrants, pro-immigrant activists, and government officials, and 28 focus groups with immigrant communities in the three countries. The Immigrant Incorporation in East Asian Democracies (IIEAD) Project contains the focus group data associated with this book. In Japan, the focus groups consisted of migrants from the Korean peninsula, mainland China, the Philippines, Brazil, Peru, Bangladesh, and Ethiopia; in Korea, participants were nationals of mainland China, Taiwan, Vietnam, the Philippines, Mongolia, and Myanmar; and, in Taiwan, participants consisted of migrants from Vietnam, Indonesia, Thailand, and the Philippines. The IIEAD collection contains transcripts and English translations of 16 focus groups from the study: eight conducted in Japan and eight in South Korea. The focus group transcripts from Taiwan are not included in the IIEAD collection due to their sensitive nature. In order to ensure the confidentiality of the focus group participants, all personal identifiers have been removed from the transcripts in the IIEAD collection, including participants’ names, self-introductions at the beginning of the focus groups, and informal conversations that either contained personal information or that were between participants and not meant to be directed at the group. This study collection includes the Japan focus group data.
DOI: 10.7281/t1rf5rz7
title: Data associated with Wu et al. 2016 Tuning and stabilizing topological insulator Bi2Se3 in the intrinsic regime by charge extraction with organic overlayers

description: In this work, we use charge extraction via organic overlayer deposition to lower the chemical potential of topological insulator (TI) Bi2Se3 thin films into the intrinsic (bulk-insulating) regime. We demonstrate the tuning and stabilization of intrinsic topological insulators at high mobility with low-cost organic films. With the protection of the organic charge extraction layers tetrafluorotetracyanoquinodimethane or tris(acetylacetonato)cobalt(III) (Co(acac)3), the sample is stable in the atmosphere with chemical potential ∼135 meV above the Dirac point (85 meV below the conduction band minimum, well within the topological insulator regime) after four months, which is an extraordinary level of environmental stability. The Co complex demonstrates the use of an organometallic for modulating TI charge density. The mobility of surface state electrons is enhanced as high as ∼2000 cm2/V s. Even at room temperature, a true topologically insulating state is realized and stabilized for months' exposure to the atmosphere.
DOI: 10.7281/t1xff19o
title: Data and code associated with: Phase-Field Fracture Simulation Dataset: Hyperelastic Multi-Crack Response Under Loading and Unloading

description: This project aims to develop a benchmark dataset for phase-field fracture mechanics, focusing on fracture propagation of multiple initial defects on a 2D hyperelastic domain with a spherical inclusion under quasi-static cyclic loading. The numerical model captures the non-linear stress-strain behavior of the hyperelastic material. The dataset consists of simulations for 1000 distinct loading conditions applied as boundary constraints, providing detailed insights into crack initiation and propagation patterns. This will be a valuable resource for validating computational methods and advancing data-driven approaches in fracture mechanics.
DOI: 10.7281/t1xhqsbw
title: Data and code associated with the publication: Relapse prediction using wearable data through convolutional autoencoders and clustering for patients with psychotic disorders

description: Our work focused on developing a personalized approach using neural-network-based anomaly detection and clustering to predict relapse for patients with psychotic disorders. We used a dataset provided by e-Prevention grand challenge (https://robotics.ntua.gr/eprevention-sp-challenge/), containing physiological signals for 10 patients monitored over 2.5 years. We created 2-dimensional multivariate time-series profiles containing activity and heart rate variability metrics, extracted latent features via convolutional autoencoders, and identified relapse clusters. In this repository, we shared our aggregated 2D multivariate time-series profiles for users to understand the structure of processed data and make it easier to run our demo code.
DOI: 10.34976/294z-8h46
title: PMA India (Rajasthan) Phase 2 Household and Female Survey (2021)

description: PMA India (Rajasthan) Phase 2 (IN-RJP2) Household and Female Baseline Survey includes 134 enumeration areas (EAs) selected using a multi-stage stratified cluster design with urban-rural strata. The results representative at the state level and within urban/rural strata. The final sample included 4,421 (98.2%) households and 5,428 (97.9%) females which completed the interviews for the cross-sectional survey. Data collection was conducted between September and December 2021.Phase 2 panel data was conducted among females aged 15-49 at the time of the Phase 2 survey who were interviewed at the baseline survey between August-October 2020 and consented to follow-up (92.7% of baseline population). Of the 5071 eligible respondents, 8.9% were not reached for follow-up. Of those reached, 4544 (89.6%) completed the survey, for a response rate of 98.4% 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: 10.34976/3b4z-4y70
title: PMA2020 Burkina Faso Round 5 Household Female Survey (2018)

description: Burkina Faso Round 5 Household and Female (HQFQ) survey used a two-stage cluster design with urban-rural strata. A sample of 83 enumeration areas (EAs) was drawn from the l’Institut National de la Statistique et de la Démographie (INSD) master sampling frame. In each EA, 35 households were selected. Households were systematically selected using the Random Number Generator application. Occupants in selected households were enumerated, and eligible women (women of reproductive age, 15-49) were contacted and consented for interviews. Data collection was conducted between November 2017 and January 2018. The final sample included a total of 2,811 households and 3,556 females. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32
DOI: 10.34976/h9ms-rj45
title: PMA Burkina Faso Phase 1 Service Delivery Point Survey (2020)

description: PMA Burkina Faso Phase 1 Service Delivery Point Survey includes a total of 167 enumeration areas (EAs). The EAs were drawn using the stratified cluster design with urban-rural strata from the l’Institut National de la Statistique et de la Démographie (INSD) master sampling frame. The results are nationally representative. The region, Centre, is representative of urban area only, and Hauts-Bassins is representative for both region and urban/rural levels. The final sample included 234 SDPs (98.7%) which completed the interview. Data collection was conducted between December 2019 and February 2020. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/f0vf-qd73
DOI: 10.34976/kvvr-t814
title: PMA Ethiopia 2019 Cross-sectional Service Delivery Point Survey

description: PMA Ethiopia 2019 Cross-sectional Service Delivery Point (SQ) survey used a two-stage cluster design with urban-rural, major regions as strata. A total of 265 enumeration areas (EAs) selected from the master sample frame of the Central Statistical Agency. For each EA, all public SDPs that served the EA and up to 3 private facilities were selected. The final sample included 799 SDPs (98.04%) which completed the interview. Data collection was conducted between September and December 2019. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/xbrr-m897
DOI: 10.34976/mke4-va78
title: PMA2020 Kenya Round 6 Household Female Survey (2017)

description: Kenya Round 6 Household and Female (HQFQ) survey used a multi-stage stratified cluster design with urban-rural and selected 11 counties as strata. A sample of 151 enumeration areas (EAs) was drawn by the Kenya National Bureau of Statistics from its master sampling frame. The round 6 sample included the two new counties, Kakamega and West Pokot, which were added in round 5. The same set of enumeration areas used from round 5 were selected, adjacent to the areas enumerated in the first four survey rounds. In each EA, households were listed and mapped, with 42 households 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 6,106 households and 5,913 females. Data collection was conducted between November and December 2017. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32
DOI: 10.34976/nd0a-ew46
title: PMA2020 Côte d’Ivoire Round 2 Service Delivery Point Survey (2018)

description: Côte d’Ivoire Round 2 Service Delivery Point (SQ) 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. The SDP sample included three public SDPs that serve an EA and up to three private SDPs within the EA. Data collection occurred from July to August 2018. The final database included 135 SDPs, of which 116 are public. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/vfbp-bz42
DOI: 10.7281/t1/awjugz
title: Data associated with Yang et al., 2020, Dependence of Atmospheric Transport into the Arctic on Extent of the Hadley Cell

description: Model output (annual-mean values for 6 years) from the GFDL dry dynamical core, see details in Yang et al. (2020), Geophysical Research Letters.
DOI: 10.7281/t1/aytuvi
title: Data from: Patients with Cerebellar Ataxia Do Not Benefit from Limb Weights

description: Data associated with the publication: Zimmet, Amanda M., Cowan, N. J., and Bastian, A. J. (2019). Patients with Cerebellar Ataxia Do Not Benefit from Limb Weights. Cerebellum. Contains code and data, written in MATLAB version 9.1.0.441655. All of the data was collected from the Kinarm (BKIN Technologies Ltd.) using the following distribution: KINARM: BKIN Dexterit-E 3.2.3-2092, XPC version 4.3. Please download the README document from the Files list for details on content and for viewing and reprocessing the data. For a freeware alternative to MatLab, try GNU Octave. https://www.gnu.org/software/octave/. Neither the data creators nor Johns Hopkins Research Data Repository can provide direct assistance on script compatibility.
DOI: 10.7281/t1/eopwe4
title: Data associated with the publication 'Older Adults' Perceptions of the Causes and Consequences of Healthcare Overuse: A Qualitative Study'

description: Data supporting the qualitative study aimed at learning how older adults perceive overuse of healthcare, if at all. We conducted five focus groups involving nearly forty participants at senior activity centers across Baltimore City. After each group session, the investigators reviewed the major themes emerging from the discussion and the questions were iteratively refined as needed. The audiotaped transcripts were professionally transcribed verbatim. We used a combination of conventional and directed approaches for qualitative content analysis. We found that nearly all expressed that they or an acquaintance had experienced some overtesting or overtreatment, expressing agreement that terms such as “unnecessary,” “wasteful” and “overdoing it” characterized these encounters. Major themes that were expressed as contributing to overuse were: (1) poor quality of communication between patients and doctors; (2) treating individual complaints instead of “the whole person”; (3) few efforts to engage patients in shared decision-making; (4) inadequate communication between different health care providers involved in a patient’s care; and (5) little trust in the clinician. Yet, many participants also expressed concern that they had received too little care. Although overuse of healthcare seemed not to be a primary concern of older people, we learned what they perceived to be drivers or determinants of overuse of healthcare. The transcripts have been altered to remove all identifying information.
DOI: 10.7281/t1/fn9eh6
title: Data associated with the PLoS ONE publication 'Evaluation of a strategy for enrolling the families of critically ill patients in research using limited human resources' by Turnbull et al. 2017

description: We want to know if patient activation interventions can be adapted to help the friends and family members who choose to speak for incapacitated ICU patients. These friends and family members are called proxies. As a first step in this process, we conducted a Phase I study in the Medical Intensive Care Unit at Johns Hopkins Hospital, in Baltimore, Maryland. More information about this project can be accessed at www.piperscience.org/proxy-activation . This dataset includes data and codebook for the study associated with the cited PLOS one publication. Certain variables in the public access version of the data were broadened and variables detailing patient and proxy relationships are not included to reduce identity disclosure risk. These may be obtained by direct request with approval by investigators local IRBs. Rationale: Clinical trials of interventions aimed at the families of intensive care unit (ICU) patients have proliferated but recruitment for these trials can be challenging. Objectives: To evaluate a strategy for recruiting families of patients currently being treated in an ICU using limited human resources and time-varying daily screening over 7 consecutive days Methods: We screened the Johns Hopkins Hospital medical ICU census 7 days per week to identify eligible family members. We then made daily, in-person attempts to enroll eligible families during a time-varying 2-hour enrollment period until families declined participation, consented, or were no longer eligible.
DOI: 10.7281/t1/hw66x3
title: Data associated with the publication: Nucleic acid-based electrochemical sensors facilitate the study of DNA binding by platinum (II)-based antineoplastics

description: This dataset includes all the raw experimental data, analyzed data as well as software used for making figures.
DOI: 10.7281/t1/sqj7g0
title: Data associated with the publication: Recalde-Coronel G. C. et al. (2024) Contributions of initial conditions and meteorological forecast to subseasonal-to-seasonal hydrological forecast skill in western tropical South America. Journal of Hydrometeorology

description: This archive contains data used in the publication Recalde-Coronel G. C. et al. (2024). The sub-seasonal to seasonal hydrological forecast systems (S2S-HFS) dataset contains monthly spatial meteorological forcing fields (e.g., Tair, Qair, Rain) and hydrological variables (e.g., evapotranspiration, surface runoff) for Western Tropical South America (WTSA) for ten ensemble members. WTSA includes Peru, Ecuador, Colombia, and portions of Venezuela, Brazil, Bolivia, and Chile. We conducted the S2S-HFS hindcast simulations from 2000 to 2017 using the Noah-Multi-parameterization (Noah-MP) land surface model in offline mode within NASA’s Land Information System. The S2S-HFS hydrological simulations consist of daily outputs at 10-km spatial resolution over WTSA (1°N–18°S, 82°–67°W). The S2S-HFS is run using the downscaled NASA Goddard Earth Observing System Model - sub-seasonal to seasonal (GEOS-S2SV1) dataset as a meteorological forcing, and the Western Tropical of South America Land Data Assimilation systems (WTSA-LDAS; Recalde et al. 2021) retrospective simulation dataset as initial conditions. Further details of the S2S-HFS methodology are provided in Recalde-Coronel et al. (2024). Code for the NASA Land Information System used to generate these model outputs is maintained by NASA and is available at https://github.com/NASA-LIS/LISF. Variables included in the dataset: Net downward shortwave radiation Net downward longwave radiation Surface upward sensible heat flux Surface upward latent heat flux Precipitation rate Total evapotranspiration Surface temperature Soil moisture content Soil temperature Wind speed Specific humidity Surface pressure Leaf area index Green vegetation fraction Surface runoff amount Subsurface runoff amount Water table depth Terrestrial water storage